WorldWideScience

Sample records for cognitive image processing

  1. Volumetric image interpretation in radiology: scroll behavior and cognitive processes.

    Science.gov (United States)

    den Boer, Larissa; van der Schaaf, Marieke F; Vincken, Koen L; Mol, Chris P; Stuijfzand, Bobby G; van der Gijp, Anouk

    2018-05-16

    The interpretation of medical images is a primary task for radiologists. Besides two-dimensional (2D) images, current imaging technologies allow for volumetric display of medical images. Whereas current radiology practice increasingly uses volumetric images, the majority of studies on medical image interpretation is conducted on 2D images. The current study aimed to gain deeper insight into the volumetric image interpretation process by examining this process in twenty radiology trainees who all completed four volumetric image cases. Two types of data were obtained concerning scroll behaviors and think-aloud data. Types of scroll behavior concerned oscillations, half runs, full runs, image manipulations, and interruptions. Think-aloud data were coded by a framework of knowledge and skills in radiology including three cognitive processes: perception, analysis, and synthesis. Relating scroll behavior to cognitive processes showed that oscillations and half runs coincided more often with analysis and synthesis than full runs, whereas full runs coincided more often with perception than oscillations and half runs. Interruptions were characterized by synthesis and image manipulations by perception. In addition, we investigated relations between cognitive processes and found an overall bottom-up way of reasoning with dynamic interactions between cognitive processes, especially between perception and analysis. In sum, our results highlight the dynamic interactions between these processes and the grounding of cognitive processes in scroll behavior. It suggests, that the types of scroll behavior are relevant to describe how radiologists interact with and manipulate volumetric images.

  2. Conceptualization, Cognitive Process between Image and Word

    Directory of Open Access Journals (Sweden)

    Aurel Ion Clinciu

    2009-12-01

    Full Text Available The study explores the process of constituting and organizing the system of concepts. After a comparative analysis of image and concept, conceptualization is reconsidered through raising for discussion the relations of concept with image in general and with self-image mirrored in body schema in particular. Taking into consideration the notion of mental space, there is developed an articulated perspective on conceptualization which has the images of mental space at one pole and the categories of language and operations of thinking at the other pole. There are explored the explicative possibilities of the notion of Tversky’s diagrammatic space as an element which is necessary to understand the genesis of graphic behaviour and to define a new construct, graphic intelligence.

  3. Cognitive processes in CBT

    NARCIS (Netherlands)

    Becker, E.S.; Vrijsen, J.N.; Hofmann, S.G.; Asmundson, G.J.G.

    2017-01-01

    Automatic cognitive processing helps us navigate the world. However, if the emotional and cognitive interplay becomes skewed, those cognitive processes can become maladaptive and result in psychopathology. Although biases are present in most mental disorders, different disorders are characterized by

  4. Cognitive processing of visual images in migraine populations in between headache attacks.

    Science.gov (United States)

    Mickleborough, Marla J S; Chapman, Christine M; Toma, Andreea S; Handy, Todd C

    2014-09-25

    People with migraine headache have altered interictal visual sensory-level processing in between headache attacks. Here we examined the extent to which these migraine abnormalities may extend into higher visual processing such as implicit evaluative analysis of visual images in between migraine events. Specifically, we asked two groups of participants--migraineurs (N=29) and non-migraine controls (N=29)--to view a set of unfamiliar commercial logos in the context of a target identification task as the brain electrical responses to these objects were recorded via event-related potentials (ERPs). Following this task, participants individually identified those logos that they most liked or disliked. We applied a between-groups comparison of how ERP responses to logos varied as a function of hedonic evaluation. Our results suggest migraineurs have abnormal implicit evaluative processing of visual stimuli. Specifically, migraineurs lacked a bias for disliked logos found in control subjects, as measured via a late positive potential (LPP) ERP component. These results suggest post-sensory consequences of migraine in between headache events, specifically abnormal cognitive evaluative processing with a lack of normal categorical hedonic evaluation. Copyright © 2014 Elsevier B.V. All rights reserved.

  5. Adaptive Sensor Optimization and Cognitive Image Processing Using Autonomous Optical Neuroprocessors; TOPICAL

    International Nuclear Information System (INIS)

    CAMERON, STEWART M.

    2001-01-01

    Measurement and signal intelligence demands has created new requirements for information management and interoperability as they affect surveillance and situational awareness. Integration of on-board autonomous learning and adaptive control structures within a remote sensing platform architecture would substantially improve the utility of intelligence collection by facilitating real-time optimization of measurement parameters for variable field conditions. A problem faced by conventional digital implementations of intelligent systems is the conflict between a distributed parallel structure on a sequential serial interface functionally degrading bandwidth and response time. In contrast, optically designed networks exhibit the massive parallelism and interconnect density needed to perform complex cognitive functions within a dynamic asynchronous environment. Recently, all-optical self-organizing neural networks exhibiting emergent collective behavior which mimic perception, recognition, association, and contemplative learning have been realized using photorefractive holography in combination with sensory systems for feature maps, threshold decomposition, image enhancement, and nonlinear matched filters. Such hybrid information processors depart from the classical computational paradigm based on analytic rules-based algorithms and instead utilize unsupervised generalization and perceptron-like exploratory or improvisational behaviors to evolve toward optimized solutions. These systems are robust to instrumental systematics or corrupting noise and can enrich knowledge structures by allowing competition between multiple hypotheses. This property enables them to rapidly adapt or self-compensate for dynamic or imprecise conditions which would be unstable using conventional linear control models. By incorporating an intelligent optical neuroprocessor in the back plane of an imaging sensor, a broad class of high-level cognitive image analysis problems including geometric

  6. Decomposing metaphor processing at the cognitive and neural level through functional magnetic resonance imaging.

    Science.gov (United States)

    Bambini, Valentina; Gentili, Claudio; Ricciardi, Emiliano; Bertinetto, Pier Marco; Pietrini, Pietro

    2011-10-10

    Prior neuroimaging studies on metaphor comprehension have tended to focus on the role of the right hemisphere, without reaching consensus and leaving aside the functional architecture of this process. The present work aimed to break down metaphor comprehension into its functional components. The study rationale is two-fold: on the one hand, the large-scale network model as emerging in cognitive neuroscience led us to a consideration of metaphor as supported by a distributed and bilateral network; on the other hand, we based on the accounts of figurative language put forward in pragmatics and cognitive science to postulate a decomposition of such a network into multiple sub-systems. During scanning, participants implicitly processed metaphorical (familiar and unfamiliar) and non-metaphorical passages, while being explicitly involved in an adjective matching task to be performed after reading the target passages. Several regions showed greater activity to metaphors as compared to non-metaphors, including left and right inferior frontal gyrus, right superior temporal gyrus, left angular gyrus, and anterior cingulate. This pattern of activations, markedly bilateral, can be decomposed into circumscribed functional sub-systems mediating different aspects of metaphor resolution, as foreseen in the pragmatic and cognitive literature: (a) the conceptual/pragmatic machinery in the bilateral inferior frontal gyrus and in the left angular gyrus, which supports the integration of linguistic material and world knowledge in context; (b) the attentional component in the anterior cingulate and prefrontal areas, which is set to monitor and filter for the relevant aspects of context and for the appropriate meanings; (c) the Theory of Mind system along the right superior temporal sulcus, which deals with the recognition of speakers' communicative intentions and is more extensively activated by unfamiliar metaphors. The results have several implications for the field of neuropragmatics

  7. Cognitive Processing Hardware Elements

    National Research Council Canada - National Science Library

    Widrow, Bernard; Eliashberg, Victor; Kamenetsky, Max

    2005-01-01

    The purpose of this research is to identify and develop cognitive information processing systems and algorithms that can be implemented with novel architectures and devices with the goal of achieving...

  8. Cognitive-motivational model of obesity. Motivational mechanisms and cognitive biases underlying the processing of food-related images by people with excess body weight.

    Science.gov (United States)

    Pawłowska, Monika; Kalka, Dorota

    2015-01-01

    Obesity is a constantly escalating problem in all age groups. In the face of ubiquitous images of food, colourful advertisements of high-calorie meals and beverages, it is necessary to examine the role of the memory and attention mechanism in the processing of these stimuli. Knowledge regarding this subject will surely significantly contribute to the improvement of prevention and management of obesity programs designed to prevent secondary psychological difficulties, including depression. This paper presents cognitive-motivational model of obesity, according to which the description of mechanisms of eating disorders occurrence should include not only motivational factors but also the cognitive ones. The paper shows theoretical perspectives on the problem of obesity irrespective of its origin, as well as the latest empirical reports in this field. The presented survey demonstrates the lack of explicit research findings related to the processing of high and low-calorie food images by persons with excess weight. It seems that the knowledge of the basic mechanisms involved in the processing of these stimuli and the exploration of this phenomenon will allow to improve programs whose objective is to prevent obesity.

  9. The shifting appearance/disappearance of holographic images and the dynamic ontology of perceptual and cognitive processes

    Science.gov (United States)

    Boissonnet, Philippe

    2013-02-01

    The French philosopher M Merleau-Ponty captured the dynamic of perception with his idea of the intertwining of perceiver and perceived. Light is what links them. In the case of holographic images, not only is spatial and colour perception the pure product of light, but this light information is always in the process of self-construction with our eyes, according to our movements and the point of view adopted. According to the aesthetic reception of a work of art, Holographic images vary greatly from those of cinema, photography and even every kind of digital 3D animation. This particular image's status truly makes perceptually apparent the "co-emergence" of light and our gaze. But holography never misleads us with respect to the precarious nature of our perceptions. We have no illusion as to the limits of our empirical understanding of the perceived reality. Holography, like our knowledge of the visible, thus brings to light the phenomenon of reality's "co-constitution" and contributes to a dynamic ontology of perceptual and cognitive processes. The cognitivist Francico Varela defines this as the paradigm of enaction,i which I will adapt and apply to the appearance/disappearance context of holographic images to bring out their affinities on a metaphorical level.

  10. Cognition-based development and evaluation of ergonomic user interfaces for medical image processing and archiving systems.

    Science.gov (United States)

    Demiris, A M; Meinzer, H P

    1997-01-01

    Whether or not a computerized system enhances the conditions of work in the application domain, very much demands on the user interface. Graphical user interfaces seem to attract the interest of the users but mostly ignore some basic rules of visual information processing thus leading to systems which are difficult to use, lowering productivity and increasing working stress (cognitive and work load). In this work we present some fundamental ergonomic considerations and their application to the medical image processing and archiving domain. We introduce the extensions to an existing concept needed to control and guide the development of GUIs with respect to domain specific ergonomics. The suggested concept, called Model-View-Controller Constraints (MVCC), can be used to programmatically implement ergonomic constraints, and thus has some advantages over written style guides. We conclude with the presentation of existing norms and methods to evaluate user interfaces.

  11. PC image processing

    International Nuclear Information System (INIS)

    Hwa, Mok Jin Il; Am, Ha Jeng Ung

    1995-04-01

    This book starts summary of digital image processing and personal computer, and classification of personal computer image processing system, digital image processing, development of personal computer and image processing, image processing system, basic method of image processing such as color image processing and video processing, software and interface, computer graphics, video image and video processing application cases on image processing like satellite image processing, color transformation of image processing in high speed and portrait work system.

  12. Heuristics and Cognitive Error in Medical Imaging.

    Science.gov (United States)

    Itri, Jason N; Patel, Sohil H

    2018-05-01

    The field of cognitive science has provided important insights into mental processes underlying the interpretation of imaging examinations. Despite these insights, diagnostic error remains a major obstacle in the goal to improve quality in radiology. In this article, we describe several types of cognitive bias that lead to diagnostic errors in imaging and discuss approaches to mitigate cognitive biases and diagnostic error. Radiologists rely on heuristic principles to reduce complex tasks of assessing probabilities and predicting values into simpler judgmental operations. These mental shortcuts allow rapid problem solving based on assumptions and past experiences. Heuristics used in the interpretation of imaging studies are generally helpful but can sometimes result in cognitive biases that lead to significant errors. An understanding of the causes of cognitive biases can lead to the development of educational content and systematic improvements that mitigate errors and improve the quality of care provided by radiologists.

  13. Functional Magnetic Resonance Imaging of Cognitive Processing in Young Adults with Down Syndrome

    Science.gov (United States)

    Jacola, Lisa M.; Byars, Anna W.; Chalfonte-Evans, Melinda; Schmithorst, Vincent J.; Hickey, Fran; Patterson, Bonnie; Hotze, Stephanie; Vannest, Jennifer; Chiu, Chung-Yiu; Holland, Scott K.; Schapiro, Mark B.

    2011-01-01

    The authors used functional magnetic resonance imaging (fMRI) to investigate neural activation during a semantic-classification/object-recognition task in 13 persons with Down syndrome and 12 typically developing control participants (age range = 12-26 years). A comparison between groups suggested atypical patterns of brain activation for the…

  14. Effects of valence and divided attention on cognitive reappraisal processes

    OpenAIRE

    Morris, John A.; Leclerc, Christina M.; Kensinger, Elizabeth A.

    2014-01-01

    Numerous studies have investigated the neural substrates supporting cognitive reappraisal, identifying the importance of cognitive control processes implemented by prefrontal cortex (PFC). This study examined how valence and attention affect the processes used for cognitive reappraisal by asking participants to passively view or to cognitively reappraise positive and negative images with full or divided attention. When participants simply viewed these images, results revealed few effects of v...

  15. Information processing, computation, and cognition.

    Science.gov (United States)

    Piccinini, Gualtiero; Scarantino, Andrea

    2011-01-01

    Computation and information processing are among the most fundamental notions in cognitive science. They are also among the most imprecisely discussed. Many cognitive scientists take it for granted that cognition involves computation, information processing, or both - although others disagree vehemently. Yet different cognitive scientists use 'computation' and 'information processing' to mean different things, sometimes without realizing that they do. In addition, computation and information processing are surrounded by several myths; first and foremost, that they are the same thing. In this paper, we address this unsatisfactory state of affairs by presenting a general and theory-neutral account of computation and information processing. We also apply our framework by analyzing the relations between computation and information processing on one hand and classicism, connectionism, and computational neuroscience on the other. We defend the relevance to cognitive science of both computation, at least in a generic sense, and information processing, in three important senses of the term. Our account advances several foundational debates in cognitive science by untangling some of their conceptual knots in a theory-neutral way. By leveling the playing field, we pave the way for the future resolution of the debates' empirical aspects.

  16. 1st International Conference on Cognitive Systems and Information Processing

    CERN Document Server

    Hu, Dewen; Liu, Huaping

    2014-01-01

    "Foundations and Practical Applications of Cognitive Systems and Information Processing" presents selected papers from the First International Conference on Cognitive Systems and Information Processing, held in Beijing, China on December 15-17, 2012 (CSIP2012). The aim of this conference is to bring together experts from different fields of expertise to discuss the state-of-the-art in artificial cognitive systems and advanced information processing, and to present new findings and perspectives on future development. This book introduces multidisciplinary perspectives on the subject areas of Cognitive Systems and Information Processing, including cognitive sciences and technology, autonomous vehicles, cognitive psychology, cognitive metrics, information fusion, image/video understanding, brain-computer interfaces, visual cognitive processing, neural computation, bioinformatics, etc. The book will be beneficial for both researchers and practitioners in the fields of Cognitive Science, Computer Science and Cogni...

  17. Resource-adaptive cognitive processes

    CERN Document Server

    Crocker, Matthew W

    2010-01-01

    This book investigates the adaptation of cognitive processes to limited resources. The central topics of this book are heuristics considered as results of the adaptation to resource limitations, through natural evolution in the case of humans, or through artificial construction in the case of computational systems; the construction and analysis of resource control in cognitive processes; and an analysis of resource-adaptivity within the paradigm of concurrent computation. The editors integrated the results of a collaborative 5-year research project that involved over 50 scientists. After a mot

  18. Markov Processes in Image Processing

    Science.gov (United States)

    Petrov, E. P.; Kharina, N. L.

    2018-05-01

    Digital images are used as an information carrier in different sciences and technologies. The aspiration to increase the number of bits in the image pixels for the purpose of obtaining more information is observed. In the paper, some methods of compression and contour detection on the basis of two-dimensional Markov chain are offered. Increasing the number of bits on the image pixels will allow one to allocate fine object details more precisely, but it significantly complicates image processing. The methods of image processing do not concede by the efficiency to well-known analogues, but surpass them in processing speed. An image is separated into binary images, and processing is carried out in parallel with each without an increase in speed, when increasing the number of bits on the image pixels. One more advantage of methods is the low consumption of energy resources. Only logical procedures are used and there are no computing operations. The methods can be useful in processing images of any class and assignment in processing systems with a limited time and energy resources.

  19. Image perception and image processing

    Energy Technology Data Exchange (ETDEWEB)

    Wackenheim, A.

    1987-01-01

    The author develops theoretical and practical models of image perception and image processing, based on phenomenology and structuralism and leading to original perception: fundamental for a positivistic approach of research work for the development of artificial intelligence that will be able in an automated system fo 'reading' X-ray pictures.

  20. Image perception and image processing

    International Nuclear Information System (INIS)

    Wackenheim, A.

    1987-01-01

    The author develops theoretical and practical models of image perception and image processing, based on phenomenology and structuralism and leading to original perception: fundamental for a positivistic approach of research work for the development of artificial intelligence that will be able in an automated system fo 'reading' X-ray pictures. (orig.) [de

  1. Hyperspectral image processing methods

    Science.gov (United States)

    Hyperspectral image processing refers to the use of computer algorithms to extract, store and manipulate both spatial and spectral information contained in hyperspectral images across the visible and near-infrared portion of the electromagnetic spectrum. A typical hyperspectral image processing work...

  2. Signal processing for cognitive radios

    CERN Document Server

    Jayaweera, Sudharman K

    2014-01-01

    This book covers power electronics, in depth, by presenting the basic principles and application details, and it can be used both as a textbook and reference book.  Introduces the specific type of CR that has gained the most research attention in recent years: the CR for Dynamic Spectrum Access (DSA). Provides signal processing solutions to each task by relating the tasks to materials covered in Part II. Specialized chapters then discuss specific signal processing algorithms required for DSA and DSS cognitive radios  

  3. Medical students' cognitive load in volumetric image interpretation : Insights from human-computer interaction and eye movements

    NARCIS (Netherlands)

    Stuijfzand, Bobby G.; Van Der Schaaf, Marieke F.; Kirschner, Femke C.; Ravesloot, Cécile J.; Van Der Gijp, Anouk; Vincken, Koen L.

    2016-01-01

    Medical image interpretation is moving from using 2D- to volumetric images, thereby changing the cognitive and perceptual processes involved. This is expected to affect medical students' experienced cognitive load, while learning image interpretation skills. With two studies this explorative

  4. Processing of medical images

    International Nuclear Information System (INIS)

    Restrepo, A.

    1998-01-01

    Thanks to the innovations in the technology for the processing of medical images, to the high development of better and cheaper computers, and, additionally, to the advances in the systems of communications of medical images, the acquisition, storage and handling of digital images has acquired great importance in all the branches of the medicine. It is sought in this article to introduce some fundamental ideas of prosecution of digital images that include such aspects as their representation, storage, improvement, visualization and understanding

  5. Cognitive components of rural tourism destination images

    DEFF Research Database (Denmark)

    Kokkali, Panagiota; Koutsouris, Alex; Chrysochou, Polymeros

    This paper aims at exploring issues related to rural tourism destination image focusing on TDI cognitive components. By means of empirical research addressing tourists visiting the Lake Plastiras area, Central Greece, the cognitive components of the area's TDI were identified along with their eff......This paper aims at exploring issues related to rural tourism destination image focusing on TDI cognitive components. By means of empirical research addressing tourists visiting the Lake Plastiras area, Central Greece, the cognitive components of the area's TDI were identified along......; (3) visitors can be classified in four clusters according the cognitive factors; (4) tourists' clusters differ in terms of age, education and income as well as number of visits and perception of the area's attractiveness. Such findings point towards the need of both a new strategy for the area...

  6. Music cognition: Learning and processing

    NARCIS (Netherlands)

    Rohrmeier, M.; Rebuschat, P.; Honing, H.; Loui, P.; Wiggins, G.; Pearce, M.T.; Müllensiefen, D.; Taatgen, N.; van Rijn, H.

    2009-01-01

    In recent years, the study of music perception and cognition has witnessed an enormous growth of interest. Music cognition is an intrinsically interdisciplinary subject which combines insights and research methods from many of the cognitive sciences. This trend is clearly reflected, for example, in

  7. Digital image processing

    National Research Council Canada - National Science Library

    Gonzalez, Rafael C; Woods, Richard E

    2008-01-01

    Completely self-contained-and heavily illustrated-this introduction to basic concepts and methodologies for digital image processing is written at a level that truly is suitable for seniors and first...

  8. Digital image processing

    National Research Council Canada - National Science Library

    Gonzalez, Rafael C; Woods, Richard E

    2008-01-01

    ...-year graduate students in almost any technical discipline. The leading textbook in its field for more than twenty years, it continues its cutting-edge focus on contemporary developments in all mainstream areas of image processing-e.g...

  9. Emotion and Cognition Processes in Preschool Children

    Science.gov (United States)

    Leerkes, Esther M.; Paradise, Matthew; O'Brien, Marion; Calkins, Susan D.; Lange, Garrett

    2008-01-01

    The core processes of emotion understanding, emotion control, cognitive understanding, and cognitive control and their association with early indicators of social and academic success were examined in a sample of 141 3-year-old children. Confirmatory factor analysis supported the hypothesized four-factor model of emotion and cognition in early…

  10. Medical image processing

    CERN Document Server

    Dougherty, Geoff

    2011-01-01

    This book is designed for end users in the field of digital imaging, who wish to update their skills and understanding with the latest techniques in image analysis. This book emphasizes the conceptual framework of image analysis and the effective use of image processing tools. It uses applications in a variety of fields to demonstrate and consolidate both specific and general concepts, and to build intuition, insight and understanding. Although the chapters are essentially self-contained they reference other chapters to form an integrated whole. Each chapter employs a pedagogical approach to e

  11. Biomedical Image Processing

    CERN Document Server

    Deserno, Thomas Martin

    2011-01-01

    In modern medicine, imaging is the most effective tool for diagnostics, treatment planning and therapy. Almost all modalities have went to directly digital acquisition techniques and processing of this image data have become an important option for health care in future. This book is written by a team of internationally recognized experts from all over the world. It provides a brief but complete overview on medical image processing and analysis highlighting recent advances that have been made in academics. Color figures are used extensively to illustrate the methods and help the reader to understand the complex topics.

  12. Constructive processes in person cognition.

    Science.gov (United States)

    Fiedler, K

    1993-12-01

    The notion of constructive memory processes is imported from research on eyewitness memory to the area of social cognition. Mere questioning about the applicability of personality attributes to a target person is shown to affect subsequent memory-based judgements of that person. These constructive influences are to be distinguished, conceptually, from the global notion of priming effects. In Expt 1, the target person was first described as an extravert; afterwards, subjects had to indicate whether either desirable aspects of extraversion (self-confidence) or undesirable aspects (exhibitionism) apply to the target or not. Mere questioning resulted in a congruent judgment bias towards the questioned attributes that did not generalize to a global halo effect. Experiment 2 replicated the basic finding and demonstrated that this phenomenon is independent of a generation effect (i.e. the memory advantage of self-generated inferences). These results are interpreted in terms of (a) a reframing of the categorical distribution representing the information about the target person in memory and (b) a regressive tendency to assume intermediate default values rather than extreme values for questioned attributes under uncertainty. Alternative explanations in terms of demand effects or a conformation bias cannot provide sufficient accounts. The relevance of constructive processes to understanding self-fulfilling prophecies and other phenomena in social interaction is discussed.

  13. Methods in Astronomical Image Processing

    Science.gov (United States)

    Jörsäter, S.

    A Brief Introductory Note History of Astronomical Imaging Astronomical Image Data Images in Various Formats Digitized Image Data Digital Image Data Philosophy of Astronomical Image Processing Properties of Digital Astronomical Images Human Image Processing Astronomical vs. Computer Science Image Processing Basic Tools of Astronomical Image Processing Display Applications Calibration of Intensity Scales Calibration of Length Scales Image Re-shaping Feature Enhancement Noise Suppression Noise and Error Analysis Image Processing Packages: Design of AIPS and MIDAS AIPS MIDAS Reduction of CCD Data Bias Subtraction Clipping Preflash Subtraction Dark Subtraction Flat Fielding Sky Subtraction Extinction Correction Deconvolution Methods Rebinning/Combining Summary and Prospects for the Future

  14. Exploring Human Cognition Using Large Image Databases.

    Science.gov (United States)

    Griffiths, Thomas L; Abbott, Joshua T; Hsu, Anne S

    2016-07-01

    Most cognitive psychology experiments evaluate models of human cognition using a relatively small, well-controlled set of stimuli. This approach stands in contrast to current work in neuroscience, perception, and computer vision, which have begun to focus on using large databases of natural images. We argue that natural images provide a powerful tool for characterizing the statistical environment in which people operate, for better evaluating psychological theories, and for bringing the insights of cognitive science closer to real applications. We discuss how some of the challenges of using natural images as stimuli in experiments can be addressed through increased sample sizes, using representations from computer vision, and developing new experimental methods. Finally, we illustrate these points by summarizing recent work using large image databases to explore questions about human cognition in four different domains: modeling subjective randomness, defining a quantitative measure of representativeness, identifying prior knowledge used in word learning, and determining the structure of natural categories. Copyright © 2016 Cognitive Science Society, Inc.

  15. Image processing in radiology

    International Nuclear Information System (INIS)

    Dammann, F.

    2002-01-01

    Medical imaging processing and analysis methods have significantly improved during recent years and are now being increasingly used in clinical applications. Preprocessing algorithms are used to influence image contrast and noise. Three-dimensional visualization techniques including volume rendering and virtual endoscopy are increasingly available to evaluate sectional imaging data sets. Registration techniques have been developed to merge different examination modalities. Structures of interest can be extracted from the image data sets by various segmentation methods. Segmented structures are used for automated quantification analysis as well as for three-dimensional therapy planning, simulation and intervention guidance, including medical modelling, virtual reality environments, surgical robots and navigation systems. These newly developed methods require specialized skills for the production and postprocessing of radiological imaging data as well as new definitions of the roles of the traditional specialities. The aim of this article is to give an overview of the state-of-the-art of medical imaging processing methods, practical implications for the ragiologist's daily work and future aspects. (orig.) [de

  16. Processing Of Binary Images

    Science.gov (United States)

    Hou, H. S.

    1985-07-01

    An overview of the recent progress in the area of digital processing of binary images in the context of document processing is presented here. The topics covered include input scan, adaptive thresholding, halftoning, scaling and resolution conversion, data compression, character recognition, electronic mail, digital typography, and output scan. Emphasis has been placed on illustrating the basic principles rather than descriptions of a particular system. Recent technology advances and research in this field are also mentioned.

  17. Effects of valence and divided attention on cognitive reappraisal processes.

    Science.gov (United States)

    Morris, John A; Leclerc, Christina M; Kensinger, Elizabeth A

    2014-12-01

    Numerous studies have investigated the neural substrates supporting cognitive reappraisal, identifying the importance of cognitive control processes implemented by prefrontal cortex (PFC). This study examined how valence and attention affect the processes used for cognitive reappraisal by asking participants to passively view or to cognitively reappraise positive and negative images with full or divided attention. When participants simply viewed these images, results revealed few effects of valence or attention. However, when participants engaged in reappraisal, there was a robust effect of valence, with the reappraisal of negative relative to positive images associated with more widespread activation, including within regions of medial and lateral PFC. There also was an effect of attention, with more lateral PFC recruitment when regulating with full attention and more medial PFC recruitment when regulating with divided attention. Within two regions of medial PFC and one region of ventrolateral PFC, there was an interaction between valence and attention: in these regions, divided attention reduced activity during reappraisal of positive but not negative images. Critically, participants continued to report reappraisal success even during the Divided Attention condition. These results suggest multiple routes to successful cognitive reappraisal, depending upon image valence and the availability of attentional resources. © The Author (2014). Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com.

  18. Effects of valence and divided attention on cognitive reappraisal processes

    Science.gov (United States)

    Leclerc, Christina M.; Kensinger, Elizabeth A.

    2014-01-01

    Numerous studies have investigated the neural substrates supporting cognitive reappraisal, identifying the importance of cognitive control processes implemented by prefrontal cortex (PFC). This study examined how valence and attention affect the processes used for cognitive reappraisal by asking participants to passively view or to cognitively reappraise positive and negative images with full or divided attention. When participants simply viewed these images, results revealed few effects of valence or attention. However, when participants engaged in reappraisal, there was a robust effect of valence, with the reappraisal of negative relative to positive images associated with more widespread activation, including within regions of medial and lateral PFC. There also was an effect of attention, with more lateral PFC recruitment when regulating with full attention and more medial PFC recruitment when regulating with divided attention. Within two regions of medial PFC and one region of ventrolateral PFC, there was an interaction between valence and attention: in these regions, divided attention reduced activity during reappraisal of positive but not negative images. Critically, participants continued to report reappraisal success even during the Divided Attention condition. These results suggest multiple routes to successful cognitive reappraisal, depending upon image valence and the availability of attentional resources. PMID:24493837

  19. Hyperspectral image processing

    CERN Document Server

    Wang, Liguo

    2016-01-01

    Based on the authors’ research, this book introduces the main processing techniques in hyperspectral imaging. In this context, SVM-based classification, distance comparison-based endmember extraction, SVM-based spectral unmixing, spatial attraction model-based sub-pixel mapping, and MAP/POCS-based super-resolution reconstruction are discussed in depth. Readers will gain a comprehensive understanding of these cutting-edge hyperspectral imaging techniques. Researchers and graduate students in fields such as remote sensing, surveying and mapping, geosciences and information systems will benefit from this valuable resource.

  20. Introduction to computer image processing

    Science.gov (United States)

    Moik, J. G.

    1973-01-01

    Theoretical backgrounds and digital techniques for a class of image processing problems are presented. Image formation in the context of linear system theory, image evaluation, noise characteristics, mathematical operations on image and their implementation are discussed. Various techniques for image restoration and image enhancement are presented. Methods for object extraction and the problem of pictorial pattern recognition and classification are discussed.

  1. Introduction to digital image processing

    CERN Document Server

    Pratt, William K

    2013-01-01

    CONTINUOUS IMAGE CHARACTERIZATION Continuous Image Mathematical Characterization Image RepresentationTwo-Dimensional SystemsTwo-Dimensional Fourier TransformImage Stochastic CharacterizationPsychophysical Vision Properties Light PerceptionEye PhysiologyVisual PhenomenaMonochrome Vision ModelColor Vision ModelPhotometry and ColorimetryPhotometryColor MatchingColorimetry ConceptsColor SpacesDIGITAL IMAGE CHARACTERIZATION Image Sampling and Reconstruction Image Sampling and Reconstruction ConceptsMonochrome Image Sampling SystemsMonochrome Image Reconstruction SystemsColor Image Sampling SystemsImage QuantizationScalar QuantizationProcessing Quantized VariablesMonochrome and Color Image QuantizationDISCRETE TWO-DIMENSIONAL LINEAR PROCESSING Discrete Image Mathematical Characterization Vector-Space Image RepresentationGeneralized Two-Dimensional Linear OperatorImage Statistical CharacterizationImage Probability Density ModelsLinear Operator Statistical RepresentationSuperposition and ConvolutionFinite-Area Superp...

  2. Neuropsychological and cognitive processes in reading

    CERN Document Server

    Pirozzolo, Francis J

    2013-01-01

    Neuropsychological and Cognitive Processes in Reading explores reading and reading disabilities within the context of cognitive psychology and neuropsychology. Emphasis is on the roles of brain mechanisms in reading and reading disturbances. In the areas of perception and cognition, theoretical models of the reading process are used to highlight the various psychological processes involved in the act of skilled reading. Comprised of 12 chapters, this volume begins with an introduction to the fundamental processes of reading, giving particular attention to a psychological theory that builds on two concepts: that the basic processes of reading are few in number, and that they are separable from one another. A useful and testable information-processing model of reading that consists of three separable, fundamental processes - decoding, word meaning, and sentence comprehension - is described. Subsequent chapters deal with some of the external and internal factors involved in reading; a model of disorders of readi...

  3. scikit-image: image processing in Python.

    Science.gov (United States)

    van der Walt, Stéfan; Schönberger, Johannes L; Nunez-Iglesias, Juan; Boulogne, François; Warner, Joshua D; Yager, Neil; Gouillart, Emmanuelle; Yu, Tony

    2014-01-01

    scikit-image is an image processing library that implements algorithms and utilities for use in research, education and industry applications. It is released under the liberal Modified BSD open source license, provides a well-documented API in the Python programming language, and is developed by an active, international team of collaborators. In this paper we highlight the advantages of open source to achieve the goals of the scikit-image library, and we showcase several real-world image processing applications that use scikit-image. More information can be found on the project homepage, http://scikit-image.org.

  4. scikit-image: image processing in Python

    Directory of Open Access Journals (Sweden)

    Stéfan van der Walt

    2014-06-01

    Full Text Available scikit-image is an image processing library that implements algorithms and utilities for use in research, education and industry applications. It is released under the liberal Modified BSD open source license, provides a well-documented API in the Python programming language, and is developed by an active, international team of collaborators. In this paper we highlight the advantages of open source to achieve the goals of the scikit-image library, and we showcase several real-world image processing applications that use scikit-image. More information can be found on the project homepage, http://scikit-image.org.

  5. Rhythms of EEG and cognitive processes

    Directory of Open Access Journals (Sweden)

    Novikova S.I.

    2015-06-01

    Full Text Available The study of cognitive processes is regarded to be more effective if it combines a psychological approach with a neurophysiological one. This approach makes it possible to come closer to understanding of the basic mechanisms of different cognitive processes, to describe the patterns of forming these mechanisms in ontogenesis, to investigate the origin of cognitive impairments, and to develop intervention techniques. The promising way of investigating the mechanisms of cognitive functions is the electroencephalography (EEG. This is a non-invasive, safe, and relatively cheap method of research of the functional condition of the brain. The characteristics of EEG rhythms, recorded with different cognitive loads, reflect the processes of functional modulation of neural network activity of the cortex, which serves the neurophysiologic basis for attention, memory and other cognitive processes. The article provides an overview of works containing the analysis of the alpha and theta rhythms’ dynamics in various states of wakefulness. It also introduces the substantiation of methodology of functional regulatory approach to the interpretation of behaviors of EEG rhythms.

  6. Cognitive processes in anesthesiology decision making.

    Science.gov (United States)

    Stiegler, Marjorie Podraza; Tung, Avery

    2014-01-01

    The quality and safety of health care are under increasing scrutiny. Recent studies suggest that medical errors, practice variability, and guideline noncompliance are common, and that cognitive error contributes significantly to delayed or incorrect diagnoses. These observations have increased interest in understanding decision-making psychology.Many nonrational (i.e., not purely based in statistics) cognitive factors influence medical decisions and may lead to error. The most well-studied include heuristics, preferences for certainty, overconfidence, affective (emotional) influences, memory distortions, bias, and social forces such as fairness or blame.Although the extent to which such cognitive processes play a role in anesthesia practice is unknown, anesthesia care frequently requires rapid, complex decisions that are most susceptible to decision errors. This review will examine current theories of human decision behavior, identify effects of nonrational cognitive processes on decision making, describe characteristic anesthesia decisions in this context, and suggest strategies to improve decision making.

  7. Image processing and recognition for biological images.

    Science.gov (United States)

    Uchida, Seiichi

    2013-05-01

    This paper reviews image processing and pattern recognition techniques, which will be useful to analyze bioimages. Although this paper does not provide their technical details, it will be possible to grasp their main tasks and typical tools to handle the tasks. Image processing is a large research area to improve the visibility of an input image and acquire some valuable information from it. As the main tasks of image processing, this paper introduces gray-level transformation, binarization, image filtering, image segmentation, visual object tracking, optical flow and image registration. Image pattern recognition is the technique to classify an input image into one of the predefined classes and also has a large research area. This paper overviews its two main modules, that is, feature extraction module and classification module. Throughout the paper, it will be emphasized that bioimage is a very difficult target for even state-of-the-art image processing and pattern recognition techniques due to noises, deformations, etc. This paper is expected to be one tutorial guide to bridge biology and image processing researchers for their further collaboration to tackle such a difficult target. © 2013 The Author Development, Growth & Differentiation © 2013 Japanese Society of Developmental Biologists.

  8. Cognitive processing of a child with autism

    OpenAIRE

    Čížková, Kristýna

    2013-01-01

    The aim of this work is to describe cognitive processing of a child with autistic spectrum disorder, to pause on its mechanisms and causes. The first part of the work presents a theoretical background for following interpretation of the data acquired in the research. Firstly it briefly defines autistic spectrum disorders, cognitive functioning of individuals with the disorder and above all two main psychological theories of autism: Theory of Mind (S. B. Cohen) and Weak Central Coherence Theor...

  9. Asymmetric Spatial Processing Under Cognitive Load.

    Science.gov (United States)

    Naert, Lien; Bonato, Mario; Fias, Wim

    2018-01-01

    Spatial attention allows us to selectively process information within a certain location in space. Despite the vast literature on spatial attention, the effect of cognitive load on spatial processing is still not fully understood. In this study we added cognitive load to a spatial processing task, so as to see whether it would differentially impact upon the processing of visual information in the left versus the right hemispace. The main paradigm consisted of a detection task that was performed during the maintenance interval of a verbal working memory task. We found that increasing cognitive working memory load had a more negative impact on detecting targets presented on the left side compared to those on the right side. The strength of the load effect correlated with the strength of the interaction on an individual level. The implications of an asymmetric attentional bias with a relative disadvantage for the left (vs the right) hemispace under high verbal working memory (WM) load are discussed.

  10. Image processing with ImageJ

    CERN Document Server

    Pascau, Javier

    2013-01-01

    The book will help readers discover the various facilities of ImageJ through a tutorial-based approach.This book is targeted at scientists, engineers, technicians, and managers, and anyone who wishes to master ImageJ for image viewing, processing, and analysis. If you are a developer, you will be able to code your own routines after you have finished reading this book. No prior knowledge of ImageJ is expected.

  11. Cognitive Algorithms for Signal Processing

    Science.gov (United States)

    2011-03-18

    Analysis of Millennial Spiritual Issues,” Zygon, Journal of Science and Religion , 43(4), 797-821, 2008. [46] R. Linnehan, C. Mutz, L.I. Perlovsky, B...dimensions of X and Y : (a) true ‘smile’ and ‘frown’ patterns are shown without clutter; (b) actual image available for recognition (signal is below...clutter in 2 dimensions of X(n) = (X, Y ), is given by l(X(n)|m = clutter) = 1/ (X •  Y ), X = (Xmax-Xmin),  Y = (Ymax-Ymin); (6) 13 Minimal

  12. Scaffolding Cognitive Processes in a Marketing Curriculum

    Science.gov (United States)

    Milliken, John

    2007-01-01

    This article highlights the importance of improving the cognitive processes of students in business studies today. When developing a curriculum in business studies at higher education level, thorough consideration should be given to all components of the learning and assessment processes. They should be tailored to real world dynamics so that they…

  13. Processing Visual Images

    International Nuclear Information System (INIS)

    Litke, Alan

    2006-01-01

    The back of the eye is lined by an extraordinary biological pixel detector, the retina. This neural network is able to extract vital information about the external visual world, and transmit this information in a timely manner to the brain. In this talk, Professor Litke will describe a system that has been implemented to study how the retina processes and encodes dynamic visual images. Based on techniques and expertise acquired in the development of silicon microstrip detectors for high energy physics experiments, this system can simultaneously record the extracellular electrical activity of hundreds of retinal output neurons. After presenting first results obtained with this system, Professor Litke will describe additional applications of this incredible technology.

  14. Fundamentals of electronic image processing

    CERN Document Server

    Weeks, Arthur R

    1996-01-01

    This book is directed to practicing engineers and scientists who need to understand the fundamentals of image processing theory and algorithms to perform their technical tasks. It is intended to fill the gap between existing high-level texts dedicated to specialists in the field and the need for a more practical, fundamental text on image processing. A variety of example images are used to enhance reader understanding of how particular image processing algorithms work.

  15. Cognitive-Behavioral Treatment of Women's Body-Image Dissatisfaction.

    Science.gov (United States)

    Butters, Jonathan W.; Cash, Thomas F.

    1987-01-01

    Assigned college women with a significant level of body-image dissatisfaction to a cognitive-behavioral treatment (CBT) program or to a waiting-list control group. The CBT program successfully improved affective body image, weakened maladaptive body-image cognitions, and enhanced social self-esteem and feelings about physical fitness and…

  16. Implicit and explicit processes in social cognition

    DEFF Research Database (Denmark)

    Frith, Christopher; Frith, Uta

    2008-01-01

    In this review we consider research on social cognition in which implicit processes can be compared and contrasted with explicit, conscious processes. In each case, their function is distinct, sometimes complementary and sometimes oppositional. We argue that implicit processes in social interaction...... are automatic and are often opposed to conscious strategies. While we are aware of explicit processes in social interaction, we cannot always use them to override implicit processes. Many studies show that implicit processes facilitate the sharing of knowledge, feelings, and actions, and hence, perhaps...

  17. Trends in medical image processing

    International Nuclear Information System (INIS)

    Robilotta, C.C.

    1987-01-01

    The function of medical image processing is analysed, mentioning the developments, the physical agents, and the main categories, as conection of distortion in image formation, detectability increase, parameters quantification, etc. (C.G.C.) [pt

  18. Methods of digital image processing

    International Nuclear Information System (INIS)

    Doeler, W.

    1985-01-01

    Increasing use of computerized methods for diagnostical imaging of radiological problems will open up a wide field of applications for digital image processing. The requirements set by routine diagnostics in medical radiology point to picture data storage and documentation and communication as the main points of interest for application of digital image processing. As to the purely radiological problems, the value of digital image processing is to be sought in the improved interpretability of the image information in those cases where the expert's experience and image interpretation by human visual capacities do not suffice. There are many other domains of imaging in medical physics where digital image processing and evaluation is very useful. The paper reviews the various methods available for a variety of problem solutions, and explains the hardware available for the tasks discussed. (orig.) [de

  19. Effects of Chewing on Cognitive Processing Speed

    Science.gov (United States)

    Hirano, Yoshiyuki; Obata, Takayuki; Takahashi, Hidehiko; Tachibana, Atsumichi; Kuroiwa, Daigo; Takahashi, Toru; Ikehira, Hiroo; Onozuka, Minoru

    2013-01-01

    In recent years, chewing has been discussed as producing effects of maintaining and sustaining cognitive performance. We have reported that chewing may improve or recover the process of working memory; however, the mechanisms underlying these phenomena are still to be elucidated. We investigated the effect of chewing on aspects of attention and…

  20. Cognitive Process of Development in Children

    Science.gov (United States)

    Boddington, Eulalee N.

    2009-01-01

    In this article we explored the theories of Arnold Gesell, Erik Erickson and Jean Piaget about how human beings development. In this component we will analyze the cognitive processes of how children perceive and develop, in particular children from a cross-cultural background. How learning takes place, and how the influences of culture, and…

  1. Cognitive Processing Therapy for Sexual Assault Victims.

    Science.gov (United States)

    Resick, Patricia A.; Schnicke, Monica K.

    1992-01-01

    Nineteen sexual assault survivors received cognitive processing therapy in group format to help deal with posttraumatic stress disorder (PTSD) following rape. Compared to 20-subject waiting list control group, participants improved significantly from pre- to posttreatment on PTSD and depression measures and maintained their improvement for 6…

  2. Affective processing in bilingual speakers: disembodied cognition?

    Science.gov (United States)

    Pavlenko, Aneta

    2012-01-01

    A recent study by Keysar, Hayakawa, and An (2012) suggests that "thinking in a foreign language" may reduce decision biases because a foreign language provides a greater emotional distance than a native tongue. The possibility of such "disembodied" cognition is of great interest for theories of affect and cognition and for many other areas of psychological theory and practice, from clinical and forensic psychology to marketing, but first this claim needs to be properly evaluated. The purpose of this review is to examine the findings of clinical, introspective, cognitive, psychophysiological, and neuroimaging studies of affective processing in bilingual speakers in order to identify converging patterns of results, to evaluate the claim about "disembodied cognition," and to outline directions for future inquiry. The findings to date reveal two interrelated processing effects. First-language (L1) advantage refers to increased automaticity of affective processing in the L1 and heightened electrodermal reactivity to L1 emotion-laden words. Second-language (L2) advantage refers to decreased automaticity of affective processing in the L2, which reduces interference effects and lowers electrodermal reactivity to negative emotional stimuli. The differences in L1 and L2 affective processing suggest that in some bilingual speakers, in particular late bilinguals and foreign language users, respective languages may be differentially embodied, with the later learned language processed semantically but not affectively. This difference accounts for the reduction of framing biases in L2 processing in the study by Keysar et al. (2012). The follow-up discussion identifies the limits of the findings to date in terms of participant populations, levels of processing, and types of stimuli, puts forth alternative explanations of the documented effects, and articulates predictions to be tested in future research.

  3. Stress modulation of cognitive and affective processes

    Science.gov (United States)

    CAMPEAU, SERGE; LIBERZON, ISRAEL; MORILAK, DAVID; RESSLER, KERRY

    2012-01-01

    This review summarizes the major discussion points of a symposium on stress modulation of cognitive and affective processes, which was held during the 2010 workshop on the neurobiology of stress (Boulder, CO, USA). The four discussants addressed a number of specific cognitive and affective factors that are modulated by exposure to acute or repeated stress. Dr David Morilak discussed the effects of various repeated stress situations on cognitive flexibility, as assessed with a rodent model of attentional set-shifting task, and how performance on slightly different aspects of this test is modulated by different prefrontal regions through monoaminergic neurotransmission. Dr Serge Campeau summarized the findings of several studies exploring a number of factors and brain regions that regulate habituation of various autonomic and neuroendocrine responses to repeated audiogenic stress exposures. Dr Kerry Ressler discussed a body of work exploring the modulation and extinction of fear memories in rodents and humans, especially focusing on the role of key neurotransmitter systems including excitatory amino acids and brain-derived neurotrophic factor. Dr Israel Liberzon presented recent results on human decision-making processes in response to exogenous glucocorticoid hormone administration. Overall, these discussions are casting a wider framework on the cognitive/affective processes that are distinctly regulated by the experience of stress and some of the brain regions and neurotransmitter systems associated with these effects. PMID:21790481

  4. Asymmetric Spatial Processing Under Cognitive Load

    Directory of Open Access Journals (Sweden)

    Lien Naert

    2018-04-01

    Full Text Available Spatial attention allows us to selectively process information within a certain location in space. Despite the vast literature on spatial attention, the effect of cognitive load on spatial processing is still not fully understood. In this study we added cognitive load to a spatial processing task, so as to see whether it would differentially impact upon the processing of visual information in the left versus the right hemispace. The main paradigm consisted of a detection task that was performed during the maintenance interval of a verbal working memory task. We found that increasing cognitive working memory load had a more negative impact on detecting targets presented on the left side compared to those on the right side. The strength of the load effect correlated with the strength of the interaction on an individual level. The implications of an asymmetric attentional bias with a relative disadvantage for the left (vs the right hemispace under high verbal working memory (WM load are discussed.

  5. Industrial Applications of Image Processing

    Science.gov (United States)

    Ciora, Radu Adrian; Simion, Carmen Mihaela

    2014-11-01

    The recent advances in sensors quality and processing power provide us with excellent tools for designing more complex image processing and pattern recognition tasks. In this paper we review the existing applications of image processing and pattern recognition in industrial engineering. First we define the role of vision in an industrial. Then a dissemination of some image processing techniques, feature extraction, object recognition and industrial robotic guidance is presented. Moreover, examples of implementations of such techniques in industry are presented. Such implementations include automated visual inspection, process control, part identification, robots control. Finally, we present some conclusions regarding the investigated topics and directions for future investigation

  6. [Imaging center - optimization of the imaging process].

    Science.gov (United States)

    Busch, H-P

    2013-04-01

    Hospitals around the world are under increasing pressure to optimize the economic efficiency of treatment processes. Imaging is responsible for a great part of the success but also of the costs of treatment. In routine work an excessive supply of imaging methods leads to an "as well as" strategy up to the limit of the capacity without critical reflection. Exams that have no predictable influence on the clinical outcome are an unjustified burden for the patient. They are useless and threaten the financial situation and existence of the hospital. In recent years the focus of process optimization was exclusively on the quality and efficiency of performed single examinations. In the future critical discussion of the effectiveness of single exams in relation to the clinical outcome will be more important. Unnecessary exams can be avoided, only if in addition to the optimization of single exams (efficiency) there is an optimization strategy for the total imaging process (efficiency and effectiveness). This requires a new definition of processes (Imaging Pathway), new structures for organization (Imaging Center) and a new kind of thinking on the part of the medical staff. Motivation has to be changed from gratification of performed exams to gratification of process quality (medical quality, service quality, economics), including the avoidance of additional (unnecessary) exams. © Georg Thieme Verlag KG Stuttgart · New York.

  7. Building country image process

    Directory of Open Access Journals (Sweden)

    Zubović Jovan

    2005-01-01

    Full Text Available The same branding principles are used for countries as they are used for the products, only the methods are different. Countries are competing among themselves in tourism, foreign investments and exports. Country turnover is at the level that the country's reputation is. The countries that begin as unknown or with a bad image will have limits in operations or they will be marginalized. As a result they will be at the bottom of the international influence scale. On the other hand, countries with a good image, like Germany (despite two world wars will have their products covered with a special "aura".

  8. Engineering design: A cognitive process approach

    Science.gov (United States)

    Strimel, Greg Joseph

    The intent of this dissertation was to identify the cognitive processes used by advanced pre-engineering students to solve complex engineering design problems. Students in technology and engineering education classrooms are often taught to use an ideal engineering design process that has been generated mostly by educators and curriculum developers. However, the review of literature showed that it is unclear as to how advanced pre-engineering students cognitively navigate solving a complex and multifaceted problem from beginning to end. Additionally, it was unclear how a student thinks and acts throughout their design process and how this affects the viability of their solution. Therefore, Research Objective 1 was to identify the fundamental cognitive processes students use to design, construct, and evaluate operational solutions to engineering design problems. Research Objective 2 was to determine identifiers within student cognitive processes for monitoring aptitude to successfully design, construct, and evaluate technological solutions. Lastly, Research Objective 3 was to create a conceptual technological and engineering problem-solving model integrating student cognitive processes for the improved development of problem-solving abilities. The methodology of this study included multiple forms of data collection. The participants were first given a survey to determine their prior experience with engineering and to provide a description of the subjects being studied. The participants were then presented an engineering design challenge to solve individually. While they completed the challenge, the participants verbalized their thoughts using an established "think aloud" method. These verbalizations were captured along with participant observational recordings using point-of-view camera technology. Additionally, the participant design journals, design artifacts, solution effectiveness data, and teacher evaluations were collected for analysis to help achieve the

  9. Digital Data Processing of Images

    African Journals Online (AJOL)

    Digital data processing was investigated to perform image processing. Image smoothing and restoration were explored and promising results obtained. The use of the computer, not only as a data management device, but as an important tool to render quantitative information, was illustrated by lung function determination.

  10. Transdiagnostic cognitive processes in high trait anger.

    Science.gov (United States)

    Owen, John M

    2011-03-01

    Trait anger is a personality construct that refers to stable individual differences in the propensity to experience anger as an emotional state. The objective of this paper is to review relevant empirical studies in order to determine whether the transdiagnostic cognitive processes that have been identified across the DSM-IV Axis I disorders (specifically, selective attention, memory biases, reasoning biases and recurrent negative thinking) are also an underlying characteristic of high trait anger. On the basis of the review it is concluded that, whilst the research base is limited, there is good evidence that high trait anger is associated with selective attention to hostile social cues, the tendency to interpret the behaviour of others as indicating potential hostility and the tendency to ruminate over past anger-provoking experiences. The range of cognitive processes identified in high trait anger is consistent with those identified in the Axis I disorders. It is concluded that these findings provide support for (i) the broad applicability of the transdiagnostic approach as a theoretical framework for understanding a range of psychological conditions, not limited to the Axis I disorders, and (ii) the validity of conceptualising high trait anger as an aspect of personality functioning that is maintained, at least in part, by cognitive processes. Cognitive and motivational factors (specifically, beliefs and goals) that may underlie the hostile information-processing biases and recurrent negative thinking associated with high trait anger are discussed, and consideration is given to the clinical relevance of the findings of the review. Copyright © 2010 Elsevier Ltd. All rights reserved.

  11. Microprocessor based image processing system

    International Nuclear Information System (INIS)

    Mirza, M.I.; Siddiqui, M.N.; Rangoonwala, A.

    1987-01-01

    Rapid developments in the production of integrated circuits and introduction of sophisticated 8,16 and now 32 bit microprocessor based computers, have set new trends in computer applications. Nowadays the users by investing much less money can make optimal use of smaller systems by getting them custom-tailored according to their requirements. During the past decade there have been great advancements in the field of computer Graphics and consequently, 'Image Processing' has emerged as a separate independent field. Image Processing is being used in a number of disciplines. In the Medical Sciences, it is used to construct pseudo color images from computer aided tomography (CAT) or positron emission tomography (PET) scanners. Art, advertising and publishing people use pseudo colours in pursuit of more effective graphics. Structural engineers use Image Processing to examine weld X-rays to search for imperfections. Photographers use Image Processing for various enhancements which are difficult to achieve in a conventional dark room. (author)

  12. Effects of chewing on cognitive processing speed.

    Science.gov (United States)

    Hirano, Yoshiyuki; Obata, Takayuki; Takahashi, Hidehiko; Tachibana, Atsumichi; Kuroiwa, Daigo; Takahashi, Toru; Ikehira, Hiroo; Onozuka, Minoru

    2013-04-01

    In recent years, chewing has been discussed as producing effects of maintaining and sustaining cognitive performance. We have reported that chewing may improve or recover the process of working memory; however, the mechanisms underlying these phenomena are still to be elucidated. We investigated the effect of chewing on aspects of attention and cognitive processing speed, testing the hypothesis that this effect induces higher cognitive performance. Seventeen healthy adults (20-34 years old) were studied during attention task with blood oxygenation level-dependent functional (fMRI) at 3.0 T MRI. The attentional network test (ANT) within a single task fMRI containing two cue conditions (no cue and center cue) and two target conditions (congruent and incongruent) was conducted to examine the efficiency of alerting and executive control. Participants were instructed to press a button with the right or left thumb according to the direction of a centrally presented arrow. Each participant underwent two back-to-back ANT sessions with or without chewing gum, odorless and tasteless to remove any effect other than chewing. Behavioral results showed that mean reaction time was significantly decreased during chewing condition, regardless of speed-accuracy trade-off, although there were no significant changes in behavioral effects (both alerting and conflict effects). On the other hand, fMRI analysis revealed higher activations in the anterior cingulate cortex and left frontal gyrus for the executive network and motor-related regions for both attentional networks during chewing condition. These results suggested that chewing induced an increase in the arousal level and alertness in addition to an effect on motor control and, as a consequence, these effects could lead to improvements in cognitive performance. Published by Elsevier Inc.

  13. AUTOMATION OF IMAGE DATA PROCESSING

    Directory of Open Access Journals (Sweden)

    Preuss Ryszard

    2014-12-01

    Full Text Available This article discusses the current capabilities of automate processing of the image data on the example of using PhotoScan software by Agisoft . At present, image data obtained by various registration systems (metric and non - metric cameras placed on airplanes , satellites , or more often on UAVs is used to create photogrammetric products. Multiple registrations of object or land area (large groups of photos are captured are usually performed in order to eliminate obscured area as well as to raise the final accuracy of the photogrammetric product. Because of such a situation t he geometry of the resulting image blocks is far from the typical configuration of images . For fast images georeferencing automatic image matching algorithms are currently applied . They can create a model of a block in the local coordinate system or using initial exterior orientation and measured control points can provide image georeference in an external reference frame. In the case of non - metric image application, it is also possible to carry out self - calibration process at this stage . Image matching algorithm is also used in generation of dense point clouds reconstructing spatial shape of the object ( area. In subsequent processing steps it is possible to obtain typical photogrammetric products such as orthomosaic , DSM or DTM and a photorealistic solid model of an object . All aforementioned processing steps are implemented in a single program in contrary to standard commercial software dividing all steps into dedicated modules . I mage processing leading to final geo referenced products can be fully automated including sequential implementation of the processing steps at predetermined control parameters . The paper presents the practical results of the application fully automatic generation of othomosaic for both images obtained by a metric Vexell camera and a block of images acquired by a non - metric UAV system.

  14. TECHNOLOGIES OF BRAIN IMAGES PROCESSING

    Directory of Open Access Journals (Sweden)

    O.M. Klyuchko

    2017-12-01

    Full Text Available The purpose of present research was to analyze modern methods of processing biological images implemented before storage in databases for biotechnological purposes. The databases further were incorporated into web-based digital systems. Examples of such information systems were described in the work for two levels of biological material organization; databases for storing data of histological analysis and of whole brain were described. Methods of neuroimaging processing for electronic brain atlas were considered. It was shown that certain pathological features can be revealed in histological image processing. Several medical diagnostic techniques (for certain brain pathologies, etc. as well as a few biotechnological methods are based on such effects. Algorithms of image processing were suggested. Electronic brain atlas was conveniently for professionals in different fields described in details. Approaches of brain atlas elaboration, “composite” scheme for large deformations as well as several methods of mathematic images processing were described as well.

  15. Image Processing: Some Challenging Problems

    Science.gov (United States)

    Huang, T. S.; Aizawa, K.

    1993-11-01

    Image processing can be broadly defined as the manipulation of signals which are inherently multidimensional. The most common such signals are photographs and video sequences. The goals of processing or manipulation can be (i) compression for storage or transmission; (ii) enhancement or restoration; (iii) analysis, recognition, and understanding; or (iv) visualization for human observers. The use of image processing techniques has become almost ubiquitous; they find applications in such diverse areas as astronomy, archaeology, medicine, video communication, and electronic games. Nonetheless, many important problems in image processing remain unsolved. It is the goal of this paper to discuss some of these challenging problems. In Section I, we mention a number of outstanding problems. Then, in the remainder of this paper, we concentrate on one of them: very-low-bit-rate video compression. This is chosen because it involves almost all aspects of image processing.

  16. Biomedical signal and image processing

    CERN Document Server

    Najarian, Kayvan

    2012-01-01

    INTRODUCTION TO DIGITAL SIGNAL AND IMAGE PROCESSINGSignals and Biomedical Signal ProcessingIntroduction and OverviewWhat is a ""Signal""?Analog, Discrete, and Digital SignalsProcessing and Transformation of SignalsSignal Processing for Feature ExtractionSome Characteristics of Digital ImagesSummaryProblemsFourier TransformIntroduction and OverviewOne-Dimensional Continuous Fourier TransformSampling and NYQUIST RateOne-Dimensional Discrete Fourier TransformTwo-Dimensional Discrete Fourier TransformFilter DesignSummaryProblemsImage Filtering, Enhancement, and RestorationIntroduction and Overview

  17. Cognitive Load Alters Neuronal Processing of Food Odors.

    Science.gov (United States)

    Hoffmann-Hensel, Sonja Maria; Sijben, Rik; Rodriguez-Raecke, Rea; Freiherr, Jessica

    2017-10-31

    Obesity is a major health concern in modern societies. Although decreased physical activity and enhanced intake of high-caloric foods are important risk factors for developing obesity, human behavior during eating also plays a role. Previous studies have shown that distraction while eating increases food intake and leads to impaired processing of food stimuli. As olfaction is the most important sense involved in flavor perception, we used functional magnetic resonance imaging techniques to investigate the influence of cognitive memory load on olfactory perception and processing. Low- and high-caloric food odors were presented in combination with either low or high cognitive loads utilizing a memory task. The efficacy of the memory task was verified by a decrease in participant recall accuracy and an increase in skin conductance response during high cognitive load. Our behavioral data reveal a diminished perceived intensity for low- but not high-caloric food odors during high cognitive load. For low-caloric food odors, bilateral orbitofrontal (OFC) and piriform cortices (pirC) showed significantly lower activity during high compared with low cognitive load. For high-caloric food odors, a similar effect was established in pirC, but not in OFC. Insula activity correlates with higher intensity ratings found during the low cognitive load condition. We conclude lower activity in pirC and OFC to be responsible for diminished intensity perception, comparable to results in olfactory impaired patients and elderly. Further studies should investigate the influence of olfactory/gustatory intensities on food choices under distraction with special regards to low-caloric food. © The Author 2017. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

  18. Image restoration and processing methods

    International Nuclear Information System (INIS)

    Daniell, G.J.

    1984-01-01

    This review will stress the importance of using image restoration techniques that deal with incomplete, inconsistent, and noisy data and do not introduce spurious features into the processed image. No single image is equally suitable for both the resolution of detail and the accurate measurement of intensities. A good general purpose technique is the maximum entropy method and the basis and use of this will be explained. (orig.)

  19. Image processing in medical ultrasound

    DEFF Research Database (Denmark)

    Hemmsen, Martin Christian

    This Ph.D project addresses image processing in medical ultrasound and seeks to achieve two major scientific goals: First to develop an understanding of the most significant factors influencing image quality in medical ultrasound, and secondly to use this knowledge to develop image processing...... multiple imaging setups. This makes the system well suited for development of new processing methods and for clinical evaluations, where acquisition of the exact same scan location for multiple methods is important. The second project addressed implementation, development and evaluation of SASB using...... methods for enhancing the diagnostic value of medical ultrasound. The project is an industrial Ph.D project co-sponsored by BK Medical ApS., with the commercial goal to improve the image quality of BK Medicals scanners. Currently BK Medical employ a simple conventional delay-and-sum beamformer to generate...

  20. Invitation to medical image processing

    International Nuclear Information System (INIS)

    Kitasaka, Takayuki; Suenaga, Yasuhito; Mori, Kensaku

    2010-01-01

    This medical essay explains the present state of CT image processing technology about its recognition, acquisition and visualization for computer-assisted diagnosis (CAD) and surgery (CAS), and future view. Medical image processing has a series of history of its original start from the discovery of X-ray to its application to diagnostic radiography, its combination with the computer for CT, multi-detector raw CT, leading to 3D/4D images for CAD and CAS. CAD is performed based on the recognition of normal anatomical structure of human body, detection of possible abnormal lesion and visualization of its numerical figure into image. Actual instances of CAD images are presented here for chest (lung cancer), abdomen (colorectal cancer) and future body atlas (models of organs and diseases for imaging), a recent national project: computer anatomy. CAS involves the surgical planning technology based on 3D images, navigation of the actual procedure and of endoscopy. As guidance to beginning technological image processing, described are the national and international community like related academic societies, regularly conducting congresses, textbooks and workshops, and topics in the field like computed anatomy of an individual patient for CAD and CAS, its data security and standardization. In future, protective medicine is in authors' view based on the imaging technology, e.g., daily life CAD of individuals ultimately, as exemplified in the present body thermometer and home sphygmometer, to monitor one's routine physical conditions. (T.T.)

  1. Cognitive facilities of governance of transformations processes

    Directory of Open Access Journals (Sweden)

    A. V. Reshetnichenko

    2014-03-01

    For example, each of levels of organization of the both realized and subconscious, facilities of cognition includes the dependent numerical, voice, coloured and concept facilities correlative. As for the system of the realized and subconscious facilities of transformations, their basis is made by the ascending and descending forms of organization of motion of matter, energy, information and organization of elements of life. Fixed in basis of research of mul’timodal’na logician allowed to expose dialectical nature of mechanisms of bifurcations, synthesis, freymuvannya and clusterizations as main condition of forming on principle of new control system by processes development of man, state and society, on the way of mastering of space.

  2. Speech perception as an active cognitive process

    Directory of Open Access Journals (Sweden)

    Shannon eHeald

    2014-03-01

    Full Text Available One view of speech perception is that acoustic signals are transformed into representations for pattern matching to determine linguistic structure. This process can be taken as a statistical pattern-matching problem, assuming realtively stable linguistic categories are characterized by neural representations related to auditory properties of speech that can be compared to speech input. This kind of pattern matching can be termed a passive process which implies rigidity of processingd with few demands on cognitive processing. An alternative view is that speech recognition, even in early stages, is an active process in which speech analysis is attentionally guided. Note that this does not mean consciously guided but that information-contingent changes in early auditory encoding can occur as a function of context and experience. Active processing assumes that attention, plasticity, and listening goals are important in considering how listeners cope with adverse circumstances that impair hearing by masking noise in the environment or hearing loss. Although theories of speech perception have begun to incorporate some active processing, they seldom treat early speech encoding as plastic and attentionally guided. Recent research has suggested that speech perception is the product of both feedforward and feedback interactions between a number of brain regions that include descending projections perhaps as far downstream as the cochlea. It is important to understand how the ambiguity of the speech signal and constraints of context dynamically determine cognitive resources recruited during perception including focused attention, learning, and working memory. Theories of speech perception need to go beyond the current corticocentric approach in order to account for the intrinsic dynamics of the auditory encoding of speech. In doing so, this may provide new insights into ways in which hearing disorders and loss may be treated either through augementation or

  3. Levels of integration in cognitive control and sequence processing in the prefrontal cortex.

    Science.gov (United States)

    Bahlmann, Jörg; Korb, Franziska M; Gratton, Caterina; Friederici, Angela D

    2012-01-01

    Cognitive control is necessary to flexibly act in changing environments. Sequence processing is needed in language comprehension to build the syntactic structure in sentences. Functional imaging studies suggest that sequence processing engages the left ventrolateral prefrontal cortex (PFC). In contrast, cognitive control processes additionally recruit bilateral rostral lateral PFC regions. The present study aimed to investigate these two types of processes in one experimental paradigm. Sequence processing was manipulated using two different sequencing rules varying in complexity. Cognitive control was varied with different cue-sets that determined the choice of a sequencing rule. Univariate analyses revealed distinct PFC regions for the two types of processing (i.e. sequence processing: left ventrolateral PFC and cognitive control processing: bilateral dorsolateral and rostral PFC). Moreover, in a common brain network (including left lateral PFC and intraparietal sulcus) no interaction between sequence and cognitive control processing was observed. In contrast, a multivariate pattern analysis revealed an interaction of sequence and cognitive control processing, such that voxels in left lateral PFC and parietal cortex showed different tuning functions for tasks involving different sequencing and cognitive control demands. These results suggest that the difference between the process of rule selection (i.e. cognitive control) and the process of rule-based sequencing (i.e. sequence processing) find their neuronal underpinnings in distinct activation patterns in lateral PFC. Moreover, the combination of rule selection and rule sequencing can shape the response of neurons in lateral PFC and parietal cortex.

  4. Cognitive Processes Underlying the Artistic Experience

    Directory of Open Access Journals (Sweden)

    Alejandra Wah

    2017-08-01

    Full Text Available Based on the field of aesthetics, for centuries philosophers and more recently scientists have been concerned with understanding the artistic experience focusing on emotional responses to the perception of artworks. By contrast, in the last decades, evolutionary biology has been concerned with explaining the artistic experience by focusing on the cognitive processes underlying this experience. Up until now, the cognitive mechanisms that allow humans to experience objects and events as art remain largely unexplored and there is still no conventional use of terms for referring to the processes which may explain why the artistic experience is characteristically human and universal to human beings (Dissanayake, 1992, p. 24; Donald, 2006, p. 4. In this paper, I will first question whether it is productive to understand the artistic experience in terms of perception and emotion, and I will subsequently propose a possible alternative explanation to understand this experience. Drawing upon the work of Ellen Dissanayake (1992, 2000, 2015, Merlin Donald (2001, 2006, 2013, Antonio Damasio (1994, 2000, 2003, 2010, Barend van Heusden (2004, 2009, 2010, and Alejandra Wah (2014, I will argue that this experience is characterized by particular degrees of imagination and consciousness.

  5. Emotion and Cognition: An Intricately Bound Developmental Process

    Science.gov (United States)

    Bell, Martha Ann; Wolfe, Christy D.

    2004-01-01

    Regulatory aspects of development can best be understood by research that conceptualizes relations between cognition and emotion. The neural mechanisms associated with regulatory processes may be the same as those associated with higher order cognitive processes. Thus, from a developmental cognitive neuroscience perspective, emotion and cognition…

  6. Toward cognitively constrained models of language processing : A review

    NARCIS (Netherlands)

    Vogelzang, Margreet; Mills, Anne C.; Reitter, David; van Rij, Jacolien; Hendriks, Petra; van Rijn, Hedderik

    2017-01-01

    Language processing is not an isolated capacity, but is embedded in other aspects of our cognition. However, it is still largely unexplored to what extent and how language processing interacts with general cognitive resources. This question can be investigated with cognitively constrained

  7. Uncovering cognitive processes: Different techniques that can contribute to cognitive load research and instruction

    NARCIS (Netherlands)

    Van Gog, Tamara; Kester, Liesbeth; Nievelstein, Fleurie; Giesbers, Bas; Fred, Paas

    2009-01-01

    Van Gog, T., Kester, L., Nievelstein, F., Giesbers, B., & Paas, F. (2009). Uncovering cognitive processes: Different techniques that can contribute to cognitive load research and instruction. Computers in Human Behavior, 25, 325-331.

  8. Smokers exhibit biased neural processing of smoking and affective images.

    Science.gov (United States)

    Oliver, Jason A; Jentink, Kade G; Drobes, David J; Evans, David E

    2016-08-01

    There has been growing interest in the role that implicit processing of drug cues can play in motivating drug use behavior. However, the extent to which drug cue processing biases relate to the processing biases exhibited to other types of evocative stimuli is largely unknown. The goal of the present study was to determine how the implicit cognitive processing of smoking cues relates to the processing of affective cues using a novel paradigm. Smokers (n = 50) and nonsmokers (n = 38) completed a picture-viewing task, in which participants were presented with a series of smoking, pleasant, unpleasant, and neutral images while engaging in a distractor task designed to direct controlled resources away from conscious processing of image content. Electroencephalogram recordings were obtained throughout the task for extraction of event-related potentials (ERPs). Smokers exhibited differential processing of smoking cues across 3 different ERP indices compared with nonsmokers. Comparable effects were found for pleasant cues on 2 of these indices. Late cognitive processing of smoking and pleasant cues was associated with nicotine dependence and cigarette use. Results suggest that cognitive biases may extend across classes of stimuli among smokers. This raises important questions about the fundamental meaning of cognitive biases, and suggests the need to consider generalized cognitive biases in theories of drug use behavior and interventions based on cognitive bias modification. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

  9. Processed images in human perception: A case study in ultrasound breast imaging

    Energy Technology Data Exchange (ETDEWEB)

    Yap, Moi Hoon [Department of Computer Science, Loughborough University, FH09, Ergonomics and Safety Research Institute, Holywell Park (United Kingdom)], E-mail: M.H.Yap@lboro.ac.uk; Edirisinghe, Eran [Department of Computer Science, Loughborough University, FJ.05, Garendon Wing, Holywell Park, Loughborough LE11 3TU (United Kingdom); Bez, Helmut [Department of Computer Science, Loughborough University, Room N.2.26, Haslegrave Building, Loughborough University, Loughborough LE11 3TU (United Kingdom)

    2010-03-15

    Two main research efforts in early detection of breast cancer include the development of software tools to assist radiologists in identifying abnormalities and the development of training tools to enhance their skills. Medical image analysis systems, widely known as Computer-Aided Diagnosis (CADx) systems, play an important role in this respect. Often it is important to determine whether there is a benefit in including computer-processed images in the development of such software tools. In this paper, we investigate the effects of computer-processed images in improving human performance in ultrasound breast cancer detection (a perceptual task) and classification (a cognitive task). A survey was conducted on a group of expert radiologists and a group of non-radiologists. In our experiments, random test images from a large database of ultrasound images were presented to subjects. In order to gather appropriate formal feedback, questionnaires were prepared to comment on random selections of original images only, and on image pairs consisting of original images displayed alongside computer-processed images. We critically compare and contrast the performance of the two groups according to perceptual and cognitive tasks. From a Receiver Operating Curve (ROC) analysis, we conclude that the provision of computer-processed images alongside the original ultrasound images, significantly improve the perceptual tasks of non-radiologists but only marginal improvements are shown in the perceptual and cognitive tasks of the group of expert radiologists.

  10. Processed images in human perception: A case study in ultrasound breast imaging

    International Nuclear Information System (INIS)

    Yap, Moi Hoon; Edirisinghe, Eran; Bez, Helmut

    2010-01-01

    Two main research efforts in early detection of breast cancer include the development of software tools to assist radiologists in identifying abnormalities and the development of training tools to enhance their skills. Medical image analysis systems, widely known as Computer-Aided Diagnosis (CADx) systems, play an important role in this respect. Often it is important to determine whether there is a benefit in including computer-processed images in the development of such software tools. In this paper, we investigate the effects of computer-processed images in improving human performance in ultrasound breast cancer detection (a perceptual task) and classification (a cognitive task). A survey was conducted on a group of expert radiologists and a group of non-radiologists. In our experiments, random test images from a large database of ultrasound images were presented to subjects. In order to gather appropriate formal feedback, questionnaires were prepared to comment on random selections of original images only, and on image pairs consisting of original images displayed alongside computer-processed images. We critically compare and contrast the performance of the two groups according to perceptual and cognitive tasks. From a Receiver Operating Curve (ROC) analysis, we conclude that the provision of computer-processed images alongside the original ultrasound images, significantly improve the perceptual tasks of non-radiologists but only marginal improvements are shown in the perceptual and cognitive tasks of the group of expert radiologists.

  11. Clinical and imaging assessment of cognitive dysfunction in multiple sclerosis

    DEFF Research Database (Denmark)

    Rocca, Maria A; Amato, Maria P; De Stefano, Nicola

    2015-01-01

    In patients with multiple sclerosis (MS), grey matter damage is widespread and might underlie many of the clinical symptoms, especially cognitive impairment. This relation between grey matter damage and cognitive impairment has been lent support by findings from clinical and MRI studies. However...... that causes clinical symptoms to trigger. Findings on cortical reorganisation support the contribution of brain plasticity and cognitive reserve in limiting cognitive deficits. The development of clinical and imaging biomarkers that can monitor disease development and treatment response is crucial to allow...

  12. Differential morphology and image processing.

    Science.gov (United States)

    Maragos, P

    1996-01-01

    Image processing via mathematical morphology has traditionally used geometry to intuitively understand morphological signal operators and set or lattice algebra to analyze them in the space domain. We provide a unified view and analytic tools for morphological image processing that is based on ideas from differential calculus and dynamical systems. This includes ideas on using partial differential or difference equations (PDEs) to model distance propagation or nonlinear multiscale processes in images. We briefly review some nonlinear difference equations that implement discrete distance transforms and relate them to numerical solutions of the eikonal equation of optics. We also review some nonlinear PDEs that model the evolution of multiscale morphological operators and use morphological derivatives. Among the new ideas presented, we develop some general 2-D max/min-sum difference equations that model the space dynamics of 2-D morphological systems (including the distance computations) and some nonlinear signal transforms, called slope transforms, that can analyze these systems in a transform domain in ways conceptually similar to the application of Fourier transforms to linear systems. Thus, distance transforms are shown to be bandpass slope filters. We view the analysis of the multiscale morphological PDEs and of the eikonal PDE solved via weighted distance transforms as a unified area in nonlinear image processing, which we call differential morphology, and briefly discuss its potential applications to image processing and computer vision.

  13. Computational Intelligence in Image Processing

    CERN Document Server

    Siarry, Patrick

    2013-01-01

    Computational intelligence based techniques have firmly established themselves as viable, alternate, mathematical tools for more than a decade. They have been extensively employed in many systems and application domains, among these signal processing, automatic control, industrial and consumer electronics, robotics, finance, manufacturing systems, electric power systems, and power electronics. Image processing is also an extremely potent area which has attracted the atten­tion of many researchers who are interested in the development of new computational intelligence-based techniques and their suitable applications, in both research prob­lems and in real-world problems. Part I of the book discusses several image preprocessing algorithms; Part II broadly covers image compression algorithms; Part III demonstrates how computational intelligence-based techniques can be effectively utilized for image analysis purposes; and Part IV shows how pattern recognition, classification and clustering-based techniques can ...

  14. Digital processing of radiographic images

    Science.gov (United States)

    Bond, A. D.; Ramapriyan, H. K.

    1973-01-01

    Some techniques are presented and the software documentation for the digital enhancement of radiographs. Both image handling and image processing operations are considered. The image handling operations dealt with are: (1) conversion of format of data from packed to unpacked and vice versa; (2) automatic extraction of image data arrays; (3) transposition and 90 deg rotations of large data arrays; (4) translation of data arrays for registration; and (5) reduction of the dimensions of data arrays by integral factors. Both the frequency and the spatial domain approaches are presented for the design and implementation of the image processing operation. It is shown that spatial domain recursive implementation of filters is much faster than nonrecursive implementations using fast fourier transforms (FFT) for the cases of interest in this work. The recursive implementation of a class of matched filters for enhancing image signal to noise ratio is described. Test patterns are used to illustrate the filtering operations. The application of the techniques to radiographic images of metallic structures is demonstrated through several examples.

  15. Crack detection using image processing

    International Nuclear Information System (INIS)

    Moustafa, M.A.A

    2010-01-01

    This thesis contains five main subjects in eight chapters and two appendices. The first subject discus Wiener filter for filtering images. In the second subject, we examine using different methods, as Steepest Descent Algorithm (SDA) and the Wavelet Transformation, to detect and filling the cracks, and it's applications in different areas as Nano technology and Bio-technology. In third subject, we attempt to find 3-D images from 1-D or 2-D images using texture mapping with Open Gl under Visual C ++ language programming. The fourth subject consists of the process of using the image warping methods for finding the depth of 2-D images using affine transformation, bilinear transformation, projective mapping, Mosaic warping and similarity transformation. More details about this subject will be discussed below. The fifth subject, the Bezier curves and surface, will be discussed in details. The methods for creating Bezier curves and surface with unknown distribution, using only control points. At the end of our discussion we will obtain the solid form, using the so called NURBS (Non-Uniform Rational B-Spline); which depends on: the degree of freedom, control points, knots, and an evaluation rule; and is defined as a mathematical representation of 3-D geometry that can accurately describe any shape from a simple 2-D line, circle, arc, or curve to the most complex 3-D organic free-form surface or (solid) which depends on finding the Bezier curve and creating family of curves (surface), then filling in between to obtain the solid form. Another representation for this subject is concerned with building 3D geometric models from physical objects using image-based techniques. The advantage of image techniques is that they require no expensive equipment; we use NURBS, subdivision surface and mesh for finding the depth of any image with one still view or 2D image. The quality of filtering depends on the way the data is incorporated into the model. The data should be treated with

  16. FITS Liberator: Image processing software

    Science.gov (United States)

    Lindberg Christensen, Lars; Nielsen, Lars Holm; Nielsen, Kaspar K.; Johansen, Teis; Hurt, Robert; de Martin, David

    2012-06-01

    The ESA/ESO/NASA FITS Liberator makes it possible to process and edit astronomical science data in the FITS format to produce stunning images of the universe. Formerly a plugin for Adobe Photoshop, the current version of FITS Liberator is a stand-alone application and no longer requires Photoshop. This image processing software makes it possible to create color images using raw observations from a range of telescopes; the FITS Liberator continues to support the FITS and PDS formats, preferred by astronomers and planetary scientists respectively, which enables data to be processed from a wide range of telescopes and planetary probes, including ESO's Very Large Telescope, the NASA/ESA Hubble Space Telescope, NASA's Spitzer Space Telescope, ESA's XMM-Newton Telescope and Cassini-Huygens or Mars Reconnaissance Orbiter.

  17. Cognitive processes associated with child neglect.

    Science.gov (United States)

    Hildyard, Kathryn; Wolfe, David

    2007-08-01

    To compare neglectful and non-neglectful mothers on information processing tasks related to child emotions, behaviors, the caregiving relationship, and recall of child-related information. A natural group design was used. Neglectful mothers (N=34) were chosen from active, chronic caseloads; non-neglectful comparison mothers (N=33) were obtained from community agencies serving families. Participants were administered the IFEEL Picture task to assess maternal perceptions of infant emotions, eight vignettes of young children's behavior to assess attributions for child behavior across different scenarios, and a passage recall task to assess information processing problems. A measure of depression was used as a covariate to control for this variable. Neglectful mothers were significantly less likely to recognize infants' feelings of interest, more likely to see sadness and shame, more inaccurate at labeling infants' emotions, and had a more limited emotion vocabulary. They also made more internal and stable attributions for children's behaviors in situations where it was not clear whether a child was at risk of harm, and had poor recall of information. Depressive symptoms had little effect on these findings with the exception of information recall. Neglectful mothers show significant problems in information processing concerning their child's emotions and behaviors, which may affect their childrearing behavior. Cognitive-behavioral interventions to improve parents' abilities to recognize their child's emotions and to address maladaptive attributions may be of value.

  18. Toward Cognitively Constrained Models of Language Processing: A Review

    Directory of Open Access Journals (Sweden)

    Margreet Vogelzang

    2017-09-01

    Full Text Available Language processing is not an isolated capacity, but is embedded in other aspects of our cognition. However, it is still largely unexplored to what extent and how language processing interacts with general cognitive resources. This question can be investigated with cognitively constrained computational models, which simulate the cognitive processes involved in language processing. The theoretical claims implemented in cognitive models interact with general architectural constraints such as memory limitations. This way, it generates new predictions that can be tested in experiments, thus generating new data that can give rise to new theoretical insights. This theory-model-experiment cycle is a promising method for investigating aspects of language processing that are difficult to investigate with more traditional experimental techniques. This review specifically examines the language processing models of Lewis and Vasishth (2005, Reitter et al. (2011, and Van Rij et al. (2010, all implemented in the cognitive architecture Adaptive Control of Thought—Rational (Anderson et al., 2004. These models are all limited by the assumptions about cognitive capacities provided by the cognitive architecture, but use different linguistic approaches. Because of this, their comparison provides insight into the extent to which assumptions about general cognitive resources influence concretely implemented models of linguistic competence. For example, the sheer speed and accuracy of human language processing is a current challenge in the field of cognitive modeling, as it does not seem to adhere to the same memory and processing capacities that have been found in other cognitive processes. Architecture-based cognitive models of language processing may be able to make explicit which language-specific resources are needed to acquire and process natural language. The review sheds light on cognitively constrained models of language processing from two angles: we

  19. Translation Meets Cognitive Science: The Imprint of Translation on Cognitive Processing

    Science.gov (United States)

    Rojo, Ana

    2015-01-01

    Translation has long played a role in linguistic and literary studies research. More recently, the theoretical and methodological concerns of process research have given translation an additional role in cognitive science. The interest in the cognitive aspects of translation has led scholars to turn to disciplines such as cognitive linguistics,…

  20. Cognitive load effects on early visual perceptual processing.

    Science.gov (United States)

    Liu, Ping; Forte, Jason; Sewell, David; Carter, Olivia

    2018-05-01

    Contrast-based early visual processing has largely been considered to involve autonomous processes that do not need the support of cognitive resources. However, as spatial attention is known to modulate early visual perceptual processing, we explored whether cognitive load could similarly impact contrast-based perception. We used a dual-task paradigm to assess the impact of a concurrent working memory task on the performance of three different early visual tasks. The results from Experiment 1 suggest that cognitive load can modulate early visual processing. No effects of cognitive load were seen in Experiments 2 or 3. Together, the findings provide evidence that under some circumstances cognitive load effects can penetrate the early stages of visual processing and that higher cognitive function and early perceptual processing may not be as independent as was once thought.

  1. Multimedia image and video processing

    CERN Document Server

    Guan, Ling

    2012-01-01

    As multimedia applications have become part of contemporary daily life, numerous paradigm-shifting technologies in multimedia processing have emerged over the last decade. Substantially updated with 21 new chapters, Multimedia Image and Video Processing, Second Edition explores the most recent advances in multimedia research and applications. This edition presents a comprehensive treatment of multimedia information mining, security, systems, coding, search, hardware, and communications as well as multimodal information fusion and interaction. Clearly divided into seven parts, the book begins w

  2. Linear Algebra and Image Processing

    Science.gov (United States)

    Allali, Mohamed

    2010-01-01

    We use the computing technology digital image processing (DIP) to enhance the teaching of linear algebra so as to make the course more visual and interesting. Certainly, this visual approach by using technology to link linear algebra to DIP is interesting and unexpected to both students as well as many faculty. (Contains 2 tables and 11 figures.)

  3. Mathematical problems in image processing

    International Nuclear Information System (INIS)

    Chidume, C.E.

    2000-01-01

    This is the second volume of a new series of lecture notes of the Abdus Salam International Centre for Theoretical Physics. This volume contains the lecture notes given by A. Chambolle during the School on Mathematical Problems in Image Processing. The school consisted of two weeks of lecture courses and one week of conference

  4. Motion-compensated processing of image signals

    NARCIS (Netherlands)

    2010-01-01

    In a motion-compensated processing of images, input images are down-scaled (scl) to obtain down-scaled images, the down-scaled images are subjected to motion- compensated processing (ME UPC) to obtain motion-compensated images, the motion- compensated images are up-scaled (sc2) to obtain up-scaled

  5. Musashi dynamic image processing system

    International Nuclear Information System (INIS)

    Murata, Yutaka; Mochiki, Koh-ichi; Taguchi, Akira

    1992-01-01

    In order to produce transmitted neutron dynamic images using neutron radiography, a real time system called Musashi dynamic image processing system (MDIPS) was developed to collect, process, display and record image data. The block diagram of the MDIPS is shown. The system consists of a highly sensitive, high resolution TV camera driven by a custom-made scanner, a TV camera deflection controller for optimal scanning, which adjusts to the luminous intensity and the moving speed of an object, a real-time corrector to perform the real time correction of dark current, shading distortion and field intensity fluctuation, a real time filter for increasing the image signal to noise ratio, a video recording unit and a pseudocolor monitor to realize recording in commercially available products and monitoring by means of the CRTs in standard TV scanning, respectively. The TV camera and the TV camera deflection controller utilized for producing still images can be applied to this case. The block diagram of the real-time corrector is shown. Its performance is explained. Linear filters and ranked order filters were developed. (K.I.)

  6. The Role of Cognitive Content and Cognitive Processes in Chronic Pain: An Important Distinction?

    Science.gov (United States)

    Jensen, Mark P; Thorn, Beverly E; Carmody, James; Keefe, Francis J; Burns, John W

    2018-05-01

    Pain-related cognitive content (what people think about pain) and cognitive processes (how people think about pain; what they do with their pain-related thoughts) and their interaction are hypothesized to play distinct roles in patient function. However, questions have been raised regarding whether it is possible or practical to assess cognitive content and cognitive process as distinct domains. The aim of this study was to determine the extent to which measures that seem to assess mostly pain-related cognitive content, cognitive processes, and content and process, are relatively independent from each other and contribute unique variance to the prediction of patient function. Individuals with chronic low back pain (N=165) participating in an ongoing RCT were administered measures of cognitions, pain, and function (depressive symptoms and pain interference) pretreatment. Analyses provided support for the hypothesis that cognitive content and cognitive process, while related, can be assessed as distinct components. However, the measure assessing a cognitive process-mindfulness-evidenced relatively weak associations with function, especially compared with the stronger and more consistent findings for the measures of content (catastrophizing and self-efficacy). The results provide preliminary evidence for the possibility that mindfulness could have both benefits and costs. Research to evaluate this possibility is warranted.

  7. Cognitive marital therapy : the process of change

    NARCIS (Netherlands)

    Emmelkamp, P.; van Linden van den Heuvell, C.; Sanderman, R.; Scholing, A.

    1988-01-01

    Responds to comments made by N. Epstein and D. H. Baucom (see record 1989-16434-001) concerning the present authors' (see record 1989-16433-001) study of communication skills training and cognitive therapy for distressed couples. The reliable assessment of cognitions in outcome studies is discussed.

  8. Social comparisons with media images are cognitively inefficient even for women who say they feel pressure from the media.

    Science.gov (United States)

    Want, Stephen C; Saiphoo, Alyssa

    2017-03-01

    The present study investigated whether social comparisons with media images are cognitively efficient (demanding minimal mental effort) or cognitively effortful processes, in a sample of female undergraduate students (N=151) who reported feeling pressure from the media regarding their appearance. Two groups were shown 12 images of thin and attractive female models. One group was asked to memorize a complex 8-digit number during exposure to the images (Cognitively Busy condition), while the other memorized a much simpler number (Free View condition). A third group (Control condition) viewed images without people. Participants in the Free View condition demonstrated significantly increased negative mood and lowered appearance satisfaction from before to after exposure, while participants in the Cognitively Busy and Control conditions did not. We argue that these results suggest social comparisons with media images are at least somewhat cognitively effortful even among women who say they feel pressure from the media. Copyright © 2016 Elsevier Ltd. All rights reserved.

  9. Imaging and cognitive genetics: the Norwegian Cognitive NeuroGenetics sample.

    Science.gov (United States)

    Espeseth, Thomas; Christoforou, Andrea; Lundervold, Astri J; Steen, Vidar M; Le Hellard, Stephanie; Reinvang, Ivar

    2012-06-01

    Data collection for the Norwegian Cognitive NeuroGenetics sample (NCNG) was initiated in 2003 with a research grant (to Ivar Reinvang) to study cognitive aging, brain function, and genetic risk factors. The original focus was on the effects of aging (from middle age and up) and candidate genes (e.g., APOE, CHRNA4) in cross-sectional and longitudinal designs, with the cognitive and MRI-based data primarily being used for this purpose. However, as the main topic of the project broadened from cognitive aging to imaging and cognitive genetics more generally, the sample size, age range of the participants, and scope of available phenotypes and genotypes, have developed beyond the initial project. In 2009, a genome-wide association (GWA) study was undertaken, and the NCNG proper was established to study the genetics of cognitive and brain function more comprehensively. The NCNG is now controlled by the NCNG Study Group, which consists of the present authors. Prominent features of the NCNG are the adult life-span coverage of healthy participants with high-dimensional imaging, and cognitive data from a genetically homogenous sample. Another unique property is the large-scale (sample size 300-700) use of experimental cognitive tasks focusing on attention and working memory. The NCNG data is now used in numerous ongoing GWA-based studies and has contributed to several international consortia on imaging and cognitive genetics. The objective of the following presentation is to give other researchers the information necessary to evaluate possible contributions from the NCNG to various multi-sample data analyses.

  10. using fuzzy logic in image processing

    International Nuclear Information System (INIS)

    Ashabrawy, M.A.F.

    2002-01-01

    due to the unavoidable merge between computer and mathematics, the signal processing in general and the processing in particular have greatly improved and advanced. signal processing deals with the processing of any signal data for use by a computer, while image processing deals with all kinds of images (just images). image processing involves the manipulation of image data for better appearance and viewing by people; consequently, it is a rapidly growing and exciting field to be involved in today . this work takes an applications - oriented approach to image processing .the applications; the maps and documents of the first egyptian research reactor (ETRR-1), the x-ray medical images and the fingerprints image. since filters, generally, work continuous ranges rather than discrete values, fuzzy logic techniques are more convenient.thee techniques are powerful in image processing and can deal with one- dimensional, 1-D and two - dimensional images, 2-D images as well

  11. Image processing with ImageJ

    NARCIS (Netherlands)

    Abramoff, M.D.; Magalhães, Paulo J.; Ram, Sunanda J.

    2004-01-01

    Wayne Rasband of NIH has created ImageJ, an open source Java-written program that is now at version 1.31 and is used for many imaging applications, including those that that span the gamut from skin analysis to neuroscience. ImageJ is in the public domain and runs on any operating system (OS).

  12. Cognitive Processing of Fear-Arousing Message Content.

    Science.gov (United States)

    Hale, Jerold L.; And Others

    1995-01-01

    Investigates two models (the Elaboration Likelihood Model and the Heuristic-Systematic Model) of the cognitive processing of fear-arousing messages in undergraduate students. Finds in three of the four conditions (low fear, high fear, high trait anxiety) that cognitive processing appears to be antagonistic. Finds some evidence of concurrent…

  13. Image quality dependence on image processing software in ...

    African Journals Online (AJOL)

    Image quality dependence on image processing software in computed radiography. ... Agfa CR readers use MUSICA software, and an upgrade with significantly different image ... Full Text: EMAIL FREE FULL TEXT EMAIL FREE FULL TEXT

  14. Technology as Teammate: Examining the Role of External Cognition in Support of Team Cognitive Processes.

    Science.gov (United States)

    Fiore, Stephen M; Wiltshire, Travis J

    2016-01-01

    In this paper we advance team theory by describing how cognition occurs across the distribution of members and the artifacts and technology that support their efforts. We draw from complementary theorizing coming out of cognitive engineering and cognitive science that views forms of cognition as external and extended and integrate this with theorizing on macrocognition in teams. Two frameworks are described that provide the groundwork for advancing theory and aid in the development of more precise measures for understanding team cognition via focus on artifacts and the technologies supporting their development and use. This includes distinctions between teamwork and taskwork and the notion of general and specific competencies from the organizational sciences along with the concepts of offloading and scaffolding from the cognitive sciences. This paper contributes to the team cognition literature along multiple lines. First, it aids theory development by synthesizing a broad set of perspectives on the varied forms of cognition emerging in complex collaborative contexts. Second, it supports research by providing diagnostic guidelines to study how artifacts are related to team cognition. Finally, it supports information systems designers by more precisely describing how to conceptualize team-supporting technology and artifacts. As such, it provides a means to more richly understand process and performance as it occurs within sociotechnical systems. Our overarching objective is to show how team cognition can both be more clearly conceptualized and more precisely measured by integrating theory from cognitive engineering and the cognitive and organizational sciences.

  15. Dual-processing accounts of reasoning, judgment, and social cognition.

    Science.gov (United States)

    Evans, Jonathan St B T

    2008-01-01

    This article reviews a diverse set of proposals for dual processing in higher cognition within largely disconnected literatures in cognitive and social psychology. All these theories have in common the distinction between cognitive processes that are fast, automatic, and unconscious and those that are slow, deliberative, and conscious. A number of authors have recently suggested that there may be two architecturally (and evolutionarily) distinct cognitive systems underlying these dual-process accounts. However, it emerges that (a) there are multiple kinds of implicit processes described by different theorists and (b) not all of the proposed attributes of the two kinds of processing can be sensibly mapped on to two systems as currently conceived. It is suggested that while some dual-process theories are concerned with parallel competing processes involving explicit and implicit knowledge systems, others are concerned with the influence of preconscious processes that contextualize and shape deliberative reasoning and decision-making.

  16. Fast processing of foreign fiber images by image blocking

    OpenAIRE

    Yutao Wu; Daoliang Li; Zhenbo Li; Wenzhu Yang

    2014-01-01

    In the textile industry, it is always the case that cotton products are constitutive of many types of foreign fibers which affect the overall quality of cotton products. As the foundation of the foreign fiber automated inspection, image process exerts a critical impact on the process of foreign fiber identification. This paper presents a new approach for the fast processing of foreign fiber images. This approach includes five main steps, image block, image pre-decision, image background extra...

  17. The impact of moods and cognitive processing on framing effects

    OpenAIRE

    Ravndal, Mathias; Sjøbakken, Hallvard

    2013-01-01

    This study examined the effects of mood and cognitive processing on risky choice framing. A mixed between- and within-subject lab experimental design was conducted to investigate our hypotheses. As predicted, the results indicate that cognitive processing moderated the effects of scenario framing, with higher levels of intuitive processing leading to classical framing effects, whereas higher levels of analytical processing leading to no such framing effects. Self-reported valence, as in self-...

  18. Fast processing of foreign fiber images by image blocking

    Directory of Open Access Journals (Sweden)

    Yutao Wu

    2014-08-01

    Full Text Available In the textile industry, it is always the case that cotton products are constitutive of many types of foreign fibers which affect the overall quality of cotton products. As the foundation of the foreign fiber automated inspection, image process exerts a critical impact on the process of foreign fiber identification. This paper presents a new approach for the fast processing of foreign fiber images. This approach includes five main steps, image block, image pre-decision, image background extraction, image enhancement and segmentation, and image connection. At first, the captured color images were transformed into gray-scale images; followed by the inversion of gray-scale of the transformed images ; then the whole image was divided into several blocks. Thereafter, the subsequent step is to judge which image block contains the target foreign fiber image through image pre-decision. Then we segment the image block via OSTU which possibly contains target images after background eradication and image strengthening. Finally, we connect those relevant segmented image blocks to get an intact and clear foreign fiber target image. The experimental result shows that this method of segmentation has the advantage of accuracy and speed over the other segmentation methods. On the other hand, this method also connects the target image that produce fractures therefore getting an intact and clear foreign fiber target image.

  19. Molecular imaging of serotonin degeneration in mild cognitive impairment.

    Science.gov (United States)

    Smith, Gwenn S; Barrett, Frederick S; Joo, Jin Hui; Nassery, Najlla; Savonenko, Alena; Sodums, Devin J; Marano, Christopher M; Munro, Cynthia A; Brandt, Jason; Kraut, Michael A; Zhou, Yun; Wong, Dean F; Workman, Clifford I

    2017-09-01

    Neuropathological and neuroimaging studies have consistently demonstrated degeneration of monoamine systems, especially the serotonin system, in normal aging and Alzheimer's disease. The evidence for degeneration of the serotonin system in mild cognitive impairment is limited. Thus, the goal of the present study was to measure the serotonin transporter in vivo in mild cognitive impairment and healthy controls. The serotonin transporter is a selective marker of serotonin terminals and of the integrity of serotonin projections to cortical, subcortical and limbic regions and is found in high concentrations in the serotonergic cell bodies of origin of these projections (raphe nuclei). Twenty-eight participants with mild cognitive impairment (age 66.6±6.9, 16 males) and 28 healthy, cognitively normal, demographically matched controls (age 66.2±7.1, 15 males) underwent magnetic resonance imaging for measurement of grey matter volumes and high-resolution positron emission tomography with well-established radiotracers for the serotonin transporter and regional cerebral blood flow. Beta-amyloid imaging was performed to evaluate, in combination with the neuropsychological testing, the likelihood of subsequent cognitive decline in the participants with mild cognitive impairment. The following hypotheses were tested: 1) the serotonin transporter would be lower in mild cognitive impairment compared to controls in cortical and limbic regions, 2) in mild cognitive impairment relative to controls, the serotonin transporter would be lower to a greater extent and observed in a more widespread pattern than lower grey matter volumes or lower regional cerebral blood flow and 3) lower cortical and limbic serotonin transporters would be correlated with greater deficits in auditory-verbal and visual-spatial memory in mild cognitive impairment, not in controls. Reduced serotonin transporter availability was observed in mild cognitive impairment compared to controls in cortical and limbic

  20. Cognitive process-based subtypes of developmental coordination disorder (DCD).

    Science.gov (United States)

    Asonitou, Katerina; Koutsouki, Dimitra

    2016-06-01

    The purpose of the study was to identify the cognitive subtypes demonstrated by children with developmental coordination disorder (DCD) using the Planning-Attention-Simultaneous-Successive Processing (PASS) theory and the Cognitive Assessment System (D-N CAS). Participants were 108 children aged 5- and 6-years old, 54 with DCD and 54 without DCD, all attending typical kindergartens. They were examined on 31 cognitive-motor variables. Hierarchical-agglomerative and iterative partitioning cluster analyses including 9 motor and 7 cognitive variables revealed the following six subtypes: o C1 = children at risk (having considerable difficulty with jumping and minor difficulty with manual dexterity and simultaneous coding); o C2 = children on the mean (all cognitive-motor scores close to the mean); o C3 = free from cognitive-motor problems (all scores above average); o C4 = manual dexterity, planning and simultaneous coding difficulties; o C5 = manual dexterity, dynamic balance, and planning difficulties; o C6 = generalized cognitive-motor dysfunction (all scores considerably below average). It is well known that DCD is a heterogeneous condition. However, whenever cognitive processes were lower than average, cognitive-motor relationship was evident in subgroups C1, C4, C5 and C6. Early identification of task-specific cognitive-motor difficulties may be essential for early educational intervention practices in order to anticipate and improve learning, academic and performing difficulties. Copyright © 2016 Elsevier B.V. All rights reserved.

  1. Biomedical signal and image processing.

    Science.gov (United States)

    Cerutti, Sergio; Baselli, Giuseppe; Bianchi, Anna; Caiani, Enrico; Contini, Davide; Cubeddu, Rinaldo; Dercole, Fabio; Rienzo, Luca; Liberati, Diego; Mainardi, Luca; Ravazzani, Paolo; Rinaldi, Sergio; Signorini, Maria; Torricelli, Alessandro

    2011-01-01

    Generally, physiological modeling and biomedical signal processing constitute two important paradigms of biomedical engineering (BME): their fundamental concepts are taught starting from undergraduate studies and are more completely dealt with in the last years of graduate curricula, as well as in Ph.D. courses. Traditionally, these two cultural aspects were separated, with the first one more oriented to physiological issues and how to model them and the second one more dedicated to the development of processing tools or algorithms to enhance useful information from clinical data. A practical consequence was that those who did models did not do signal processing and vice versa. However, in recent years,the need for closer integration between signal processing and modeling of the relevant biological systems emerged very clearly [1], [2]. This is not only true for training purposes(i.e., to properly prepare the new professional members of BME) but also for the development of newly conceived research projects in which the integration between biomedical signal and image processing (BSIP) and modeling plays a crucial role. Just to give simple examples, topics such as brain–computer machine or interfaces,neuroengineering, nonlinear dynamical analysis of the cardiovascular (CV) system,integration of sensory-motor characteristics aimed at the building of advanced prostheses and rehabilitation tools, and wearable devices for vital sign monitoring and others do require an intelligent fusion of modeling and signal processing competences that are certainly peculiar of our discipline of BME.

  2. Review of Biomedical Image Processing

    Directory of Open Access Journals (Sweden)

    Ciaccio Edward J

    2011-11-01

    Full Text Available Abstract This article is a review of the book: 'Biomedical Image Processing', by Thomas M. Deserno, which is published by Springer-Verlag. Salient information that will be useful to decide whether the book is relevant to topics of interest to the reader, and whether it might be suitable as a course textbook, are presented in the review. This includes information about the book details, a summary, the suitability of the text in course and research work, the framework of the book, its specific content, and conclusions.

  3. Image processing with personal computer

    International Nuclear Information System (INIS)

    Hara, Hiroshi; Handa, Madoka; Watanabe, Yoshihiko

    1990-01-01

    The method of automating the judgement works using photographs in radiation nondestructive inspection with a simple type image processor on the market was examined. The software for defect extraction and making binary and the software for automatic judgement were made for trial, and by using the various photographs on which the judgement was already done as the object, the accuracy and the problematic points were tested. According to the state of the objects to be photographed and the condition of inspection, the accuracy of judgement from 100% to 45% was obtained. The criteria for judgement were in conformity with the collection of reference photographs made by Japan Cast Steel Association. In the non-destructive inspection by radiography, the number and size of the defect images in photographs are visually judged, the results are collated with the standard, and the quality is decided. Recently, the technology of image processing with personal computers advanced, therefore by utilizing this technology, the automation of the judgement of photographs was attempted to improve the accuracy, to increase the inspection efficiency and to realize labor saving. (K.I.)

  4. Infrared thermography quantitative image processing

    Science.gov (United States)

    Skouroliakou, A.; Kalatzis, I.; Kalyvas, N.; Grivas, TB

    2017-11-01

    Infrared thermography is an imaging technique that has the ability to provide a map of temperature distribution of an object’s surface. It is considered for a wide range of applications in medicine as well as in non-destructive testing procedures. One of its promising medical applications is in orthopaedics and diseases of the musculoskeletal system where temperature distribution of the body’s surface can contribute to the diagnosis and follow up of certain disorders. Although the thermographic image can give a fairly good visual estimation of distribution homogeneity and temperature pattern differences between two symmetric body parts, it is important to extract a quantitative measurement characterising temperature. Certain approaches use temperature of enantiomorphic anatomical points, or parameters extracted from a Region of Interest (ROI). A number of indices have been developed by researchers to that end. In this study a quantitative approach in thermographic image processing is attempted based on extracting different indices for symmetric ROIs on thermograms of the lower back area of scoliotic patients. The indices are based on first order statistical parameters describing temperature distribution. Analysis and comparison of these indices result in evaluating the temperature distribution pattern of the back trunk expected in healthy, regarding spinal problems, subjects.

  5. Digital image processing mathematical and computational methods

    CERN Document Server

    Blackledge, J M

    2005-01-01

    This authoritative text (the second part of a complete MSc course) provides mathematical methods required to describe images, image formation and different imaging systems, coupled with the principle techniques used for processing digital images. It is based on a course for postgraduates reading physics, electronic engineering, telecommunications engineering, information technology and computer science. This book relates the methods of processing and interpreting digital images to the 'physics' of imaging systems. Case studies reinforce the methods discussed, with examples of current research

  6. Facial affect processing and depression susceptibility: cognitive biases and cognitive neuroscience.

    Science.gov (United States)

    Bistricky, Steven L; Ingram, Rick E; Atchley, Ruth Ann

    2011-11-01

    Facial affect processing is essential to social development and functioning and is particularly relevant to models of depression. Although cognitive and interpersonal theories have long described different pathways to depression, cognitive-interpersonal and evolutionary social risk models of depression focus on the interrelation of interpersonal experience, cognition, and social behavior. We therefore review the burgeoning depressive facial affect processing literature and examine its potential for integrating disciplines, theories, and research. In particular, we evaluate studies in which information processing or cognitive neuroscience paradigms were used to assess facial affect processing in depressed and depression-susceptible populations. Most studies have assessed and supported cognitive models. This research suggests that depressed and depression-vulnerable groups show abnormal facial affect interpretation, attention, and memory, although findings vary based on depression severity, comorbid anxiety, or length of time faces are viewed. Facial affect processing biases appear to correspond with distinct neural activity patterns and increased depressive emotion and thought. Biases typically emerge in depressed moods but are occasionally found in the absence of such moods. Indirect evidence suggests that childhood neglect might cultivate abnormal facial affect processing, which can impede social functioning in ways consistent with cognitive-interpersonal and interpersonal models. However, reviewed studies provide mixed support for the social risk model prediction that depressive states prompt cognitive hypervigilance to social threat information. We recommend prospective interdisciplinary research examining whether facial affect processing abnormalities promote-or are promoted by-depressogenic attachment experiences, negative thinking, and social dysfunction.

  7. Knowledge and cognitive process dimensions of Technology ...

    African Journals Online (AJOL)

    Further research is also needed on the reasons why low cognitive demands are made in the teaching of Technology. .... the NCS (Department of Basic Education, 2011), and the topics ..... In the quantitative phase each lesson objective was classified according .... involves the retrieving (listing) of knowledge from memory (at.

  8. Radiology image orientation processing for workstation display

    Science.gov (United States)

    Chang, Chung-Fu; Hu, Kermit; Wilson, Dennis L.

    1998-06-01

    Radiology images are acquired electronically using phosphor plates that are read in Computed Radiology (CR) readers. An automated radiology image orientation processor (RIOP) for determining the orientation for chest images and for abdomen images has been devised. In addition, the chest images are differentiated as front (AP or PA) or side (Lateral). Using the processing scheme outlined, hospitals will improve the efficiency of quality assurance (QA) technicians who orient images and prepare the images for presentation to the radiologists.

  9. Meaning of cognitive processes for creating artificial intelligence

    OpenAIRE

    Pangrác, Vojtěch

    2011-01-01

    This diploma thesis brings an integral view at cognitive processes connected with artificial intelligence systems, and makes a comparison with the processes observed in nature, including human being. A historical background helps us to look at the whole issue from a certain point of view. The main axis of interest comes after the historical overview and includes the following: environment -- stimulations -- processing -- reflection in the cognitive system -- reaction to stimulation; I balance...

  10. Organizational Change, Leadership and Learning: Culture as Cognitive Process.

    Science.gov (United States)

    Lakomski, Gabriele

    2001-01-01

    Examines the claim that it is necessary to change an organization's culture in order to bring about organizational change. Considers the purported causal relationship between the role of the leader and organizational learning and develops the notion of culture as cognitive process based on research in cultural anthropology and cognitive science.…

  11. Digital Data Processing of Images

    African Journals Online (AJOL)

    be concerned with the image enhancement of scintigrams. Two applications of image ... obtained from scintigraphic equipment, image enhance- ment by computer was ... used as an example. ..... Using video-tape display, areas of interest are ...

  12. Neurobiological correlates of cognitions in fear and anxiety: a cognitive-neurobiological information-processing model.

    Science.gov (United States)

    Hofmann, Stefan G; Ellard, Kristen K; Siegle, Greg J

    2012-01-01

    We review likely neurobiological substrates of cognitions related to fear and anxiety. Cognitive processes are linked to abnormal early activity reflecting hypervigilance in subcortical networks involving the amygdala, hippocampus, and insular cortex, and later recruitment of cortical regulatory resources, including activation of the anterior cingulate cortex and prefrontal cortex to implement avoidant response strategies. Based on this evidence, we present a cognitive-neurobiological information-processing model of fear and anxiety, linking distinct brain structures to specific stages of information processing of perceived threat.

  13. Positive emotion impedes emotional but not cognitive conflict processing.

    Science.gov (United States)

    Zinchenko, Artyom; Obermeier, Christian; Kanske, Philipp; Schröger, Erich; Kotz, Sonja A

    2017-06-01

    Cognitive control enables successful goal-directed behavior by resolving a conflict between opposing action tendencies, while emotional control arises as a consequence of emotional conflict processing such as in irony. While negative emotion facilitates both cognitive and emotional conflict processing, it is unclear how emotional conflict processing is affected by positive emotion (e.g., humor). In 2 EEG experiments, we investigated the role of positive audiovisual target stimuli in cognitive and emotional conflict processing. Participants categorized either spoken vowels (cognitive task) or their emotional valence (emotional task) and ignored the visual stimulus dimension. Behaviorally, a positive target showed no influence on cognitive conflict processing, but impeded emotional conflict processing. In the emotional task, response time conflict costs were higher for positive than for neutral targets. In the EEG, we observed an interaction of emotion by congruence in the P200 and N200 ERP components in emotional but not in cognitive conflict processing. In the emotional conflict task, the P200 and N200 conflict effect was larger for emotional than neutral targets. Thus, our results show that emotion affects conflict processing differently as a function of conflict type and emotional valence. This suggests that there are conflict- and valence-specific mechanisms modulating executive control.

  14. Plant operator performance evaluation based on cognitive process analysis experiment

    International Nuclear Information System (INIS)

    Ujita, H.; Fukuda, M.

    1990-01-01

    This paper reports on an experiment to clarify plant operators' cognitive processes that has been performed, to improve the man-machine interface which supports their diagnoses and decisions. The cognitive processes under abnormal conditions were evaluated by protocol analyses interviews, etc. in the experiment using a plant training simulator. A cognitive process model is represented by a stochastic network, based on Rasmussen's decision making model. Each node of the network corresponds to an element of the cognitive process, such as observation, interpretation, execution, etc. Some observations were obtained as follows, by comparison of Monte Carlo simulation results with the experiment results: A process to reconfirm the plant parameters after execution of a task and feedback paths from this process to the observation and the task definition of next task were observed. The feedback probability average and standard deviation should be determined for each incident type to explain correctly the individual differences in the cognitive processes. The tendency for the operator's cognitive level to change from skill-based to knowledge-based via rule-based behavior was observed during the feedback process

  15. Statistical image processing and multidimensional modeling

    CERN Document Server

    Fieguth, Paul

    2010-01-01

    Images are all around us! The proliferation of low-cost, high-quality imaging devices has led to an explosion in acquired images. When these images are acquired from a microscope, telescope, satellite, or medical imaging device, there is a statistical image processing task: the inference of something - an artery, a road, a DNA marker, an oil spill - from imagery, possibly noisy, blurry, or incomplete. A great many textbooks have been written on image processing. However this book does not so much focus on images, per se, but rather on spatial data sets, with one or more measurements taken over

  16. The radiotherapy affects the cognitive processes

    International Nuclear Information System (INIS)

    Anon.

    2009-01-01

    Researchers from the medical center of the free university of Amsterdam report that the radiotherapy can hinder the cognitive functions of patients affected by cerebral tumors treated after a surgery. Even low dose radiation could contribute in their opinion, to the progressive cognitive decline of patients suffering of low grade gliomas, the most commune cerebral tumor. To get these conclusions, 65 patients, whom half of them received a radiotherapy, had a neurological and psychological evaluation twelve years after their treatment. Results: 53% of patients treated by radiotherapy present disorders of attention, memory, execution and speed of information treatment against 27% of these ones that received an only surgery. The researchers conclude to the necessity to take into account this risk in the choice of treatment, or even to avoid radiotherapy in this precise case. (N.C.)

  17. Cerebral Small Vessel Disease: Cognition, Mood, Daily Functioning, and Imaging Findings from a Small Pilot Sample

    Directory of Open Access Journals (Sweden)

    John G. Baker

    2012-04-01

    Full Text Available Cerebral small vessel disease, a leading cause of cognitive decline, is considered a relatively homogeneous disease process, and it can co-occur with Alzheimer’s disease. Clinical reports of magnetic resonance imaging (MRI/computed tomography and single photon emission computed tomography (SPECT imaging and neuropsychology testing for a small pilot sample of 14 patients are presented to illustrate disease characteristics through findings from structural and functional imaging and cognitive assessment. Participants showed some decreases in executive functioning, attention, processing speed, and memory retrieval, consistent with previous literature. An older subgroup showed lower age-corrected scores at a single time point compared to younger participants. Performance on a computer-administered cognitive measure showed a slight overall decline over a period of 8–28 months. For a case study with mild neuropsychology findings, the MRI report was normal while the SPECT report identified perfusion abnormalities. Future research can test whether advances in imaging analysis allow for identification of cerebral small vessel disease before changes are detected in cognition.

  18. Image Processing and Features Extraction of Fingerprint Images ...

    African Journals Online (AJOL)

    To demonstrate the importance of the image processing of fingerprint images prior to image enrolment or comparison, the set of fingerprint images in databases (a) and (b) of the FVC (Fingerprint Verification Competition) 2000 database were analyzed using a features extraction algorithm. This paper presents the results of ...

  19. Scilab and SIP for Image Processing

    OpenAIRE

    Fabbri, Ricardo; Bruno, Odemir Martinez; Costa, Luciano da Fontoura

    2012-01-01

    This paper is an overview of Image Processing and Analysis using Scilab, a free prototyping environment for numerical calculations similar to Matlab. We demonstrate the capabilities of SIP -- the Scilab Image Processing Toolbox -- which extends Scilab with many functions to read and write images in over 100 major file formats, including PNG, JPEG, BMP, and TIFF. It also provides routines for image filtering, edge detection, blurring, segmentation, shape analysis, and image recognition. Basic ...

  20. Nursing's ways of knowing and dual process theories of cognition.

    Science.gov (United States)

    Paley, John; Cheyne, Helen; Dalgleish, Len; Duncan, Edward A S; Niven, Catherine A

    2007-12-01

    This paper is a comparison of nursing's patterns of knowing with the systems identified by cognitive science, and evaluates claims about the equal-status relation between scientific and non-scientific knowledge. Ever since Carper's seminal paper in 1978, it has been taken for granted in the nursing literature that there are ways of knowing, or patterns of knowing, that are not scientific. This idea has recently been used to argue that the concept of evidence, typically associated with evidence-based practice, is inappropriately restricted because it is identified exclusively with scientific research. The paper reviews literature in psychology which appears to draw a comparable distinction between rule-based, analytical cognitive processes and other forms of cognitive processing which are unconscious, holistic and intuitive. There is a convincing parallel between the 'patterns of knowing' distinction in nursing and the 'cognitive processing' distinction in psychology. However, there is an important difference in the way the relation between different forms of knowing (or cognitive processing) is depicted. In nursing, it is argued that the different patterns of knowing have equal status and weight. In cognitive science, it is suggested that the rule-based, analytical form of cognition has a supervisory and corrective function with respect to the other forms. Scientific reasoning and evidence-based knowledge have epistemological priority over the other forms of nursing knowledge. The implications of this claim for healthcare practice are briefly indicated.

  1. Baseline and cognition activated brain SPECT imaging in depression

    International Nuclear Information System (INIS)

    Zhao Jinhua; Lin Xiangtong; Jiang Kaida; Liu Yongchang; Xu Lianqin

    1998-01-01

    Purpose: To evaluate the regional cerebral blood flow (rCBF) abnormalities through the semiquantitative analysis of the baseline and cognition activated rCBF imaging in unmedicated depressed patients. Methods: 27 depressed patients unmedicated by anti-depressants were enrolled. The diagnosis (depression of moderate degree with somatization) was confirmed by the ICD-10 criteria. 15 age matched normal controls were studied under identical conditions. Baseline and cognition activated 99m Tc-ECD SPECT were performed on 21 of the 27 patients with depression and 13 of the 15 normal controls. Baseline 99m Tc-ECD SPECT alone were performed on the rest 6 patients with depression and 2 normal controls. The cognitive activation is achieved by Wisconsin Card Sorting Test (WCST). 1110 MBq of 99m Tc-ECD was administered by intravenous bolus injection 5 minutes after the onset of the WCST. Semi-quantitative analysis was conducted with the 7th, 8th, 9th, 10th, 11th slices of the transaxial imaging. rCBF ratios of every ROI were calculated using the average tissue activity in the region divided by the maximum activity in the cerebellum. Results: 1) The baseline rCBF of left frontal (0.720) and left temporal lobe (0.720) were decreased significantly in depressed patients comparing with those of the control subjects. 2) The activated rCBF of left frontal lobe (0.719) and left temporal lobe (0.690), left parietal lobe (0.701) were decreased evidently than those of the controls. Conclusions: 1) Hypoperfusions of left frontal and left temporal cortexes were identified in patients with depression. 2) The hypoperfusion of left frontal and left temporal cortexes may be the cause of cognition disorder and depressed mood in patients with depression. 3) Cognition activated brain perfusion imaging is helpful for making a more accurate diagnosis of depression

  2. Cognitive model of image interpretation for artificial intelligence applications

    International Nuclear Information System (INIS)

    Raju, S.

    1988-01-01

    A cognitive model of imaging diagnosis was devised to aid in the development of expert systems that assist in the interpretation of diagnostic images. In this cognitive model, a small set of observations that are strongly predictive of a particular diagnosis lead to a search for other observations that would support this diagnosis but are not necessarily specific for it. Then a set of alternative diagnoses is considered. This is followed by a search for observations that might allow differentiation of the primary diagnostic consideration from the alternatives. The production rules needed to implement this model can be classified into three major categories, each of which have certain general characteristics. Knowledge of these characteristics simplifies the development of these expert systems

  3. [Cognitive mechanisms and self-acceptance of body image].

    Science.gov (United States)

    Anuel, Adriana; Bracho, Angie; Brito, Nereida; Rondón, José Eduardo; Sulbarán, Dimas

    2012-01-01

    This research proposed to investigate the effect of an intervention program to strengthen self-acceptance (positive), and a cognitive intervention program on body image. Specifically, it is based on the idea of prevention of risk factors for eating disorders from the perspective of normalcy in the prevention of body dissatisfaction. We used a 2×2 factorial design with 120 participants of both sexes, aged between 10 and 12 years, selected by stratification. To evaluate the hypothesis, we used two-way analysis of variance. The results concluded that only the cognitive intervention program affected the dependent variable body image, maintaining its statistical significance, which is revealed both in the general two-way ANOVA and when controlling the effect of the covariates, age and sex.

  4. Image processing technology for nuclear facilities

    International Nuclear Information System (INIS)

    Lee, Jong Min; Lee, Yong Beom; Kim, Woong Ki; Park, Soon Young

    1993-05-01

    Digital image processing technique is being actively studied since microprocessors and semiconductor memory devices have been developed in 1960's. Now image processing board for personal computer as well as image processing system for workstation is developed and widely applied to medical science, military, remote inspection, and nuclear industry. Image processing technology which provides computer system with vision ability not only recognizes nonobvious information but processes large information and therefore this technique is applied to various fields like remote measurement, object recognition and decision in adverse environment, and analysis of X-ray penetration image in nuclear facilities. In this report, various applications of image processing to nuclear facilities are examined, and image processing techniques are also analysed with the view of proposing the ideas for future applications. (Author)

  5. Nuclear medicine imaging and data processing

    International Nuclear Information System (INIS)

    Bell, P.R.; Dillon, R.S.

    1978-01-01

    The Oak Ridge Imaging System (ORIS) is a software operating system structure around the Digital Equipment Corporation's PDP-8 minicomputer which provides a complete range of image manipulation procedures. Through its modular design it remains open-ended for easy expansion to meet future needs. Already included in the system are image access routines for use with the rectilinear scanner or gamma camera (both static and flow studies); display hardware design and corresponding software; archival storage provisions; and, most important, many image processing techniques. The image processing capabilities include image defect removal, smoothing, nonlinear bounding, preparation of functional images, and transaxial emission tomography reconstruction from a limited number of views

  6. Eliminating "Hotspots" in Digital Image Processing

    Science.gov (United States)

    Salomon, P. M.

    1984-01-01

    Signals from defective picture elements rejected. Image processing program for use with charge-coupled device (CCD) or other mosaic imager augmented with algorithm that compensates for common type of electronic defect. Algorithm prevents false interpretation of "hotspots". Used for robotics, image enhancement, image analysis and digital television.

  7. Image processing unit with fall-back.

    NARCIS (Netherlands)

    2011-01-01

    An image processing unit ( 100,200,300 ) for computing a sequence of output images on basis of a sequence of input images, comprises: a motion estimation unit ( 102 ) for computing a motion vector field on basis of the input images; a quality measurement unit ( 104 ) for computing a value of a

  8. Some Cognitive Components of the Diagnostic Thinking Process.

    Science.gov (United States)

    Gale, Janet

    1982-01-01

    Identifies 14 cognitive components of the diagnostic thinking process in clinical problem solving. Analyzes the differences between medical students, hospital house officers, and hospital registrars in London, England, on the relative use of such thinking processes. Suggests that diagnostic thinking processes cannot be incorporated into medical…

  9. The cognitive viewpoint on information science and processing information in cognitive psychology - a vision for interdisciplinary

    Directory of Open Access Journals (Sweden)

    Shirley Guimarães Pimenta

    2012-08-01

    Full Text Available The interaction amongst the ‘user’, ‘information’, and ‘text’ is of interest to Information Science although it has deserved insufficient attention in the literature. This issue is addressed by this paper whose main purpose is to contribute to the discussion of theoretical affinity between the cognitive viewpoint in Information Science and the information processing approach in Cognitive Psychology. Firstly, the interdisciplinary nature of Information Science is discussed and justified as a means to deepen and strengthen its theoretical framework. Such interdisciplinarity helps to avoid stagnation and keep pace with other disciplines. Secondly, the discussion takes into consideration the cognitive paradigm, which originates the cognitive viewpoint approach in Information Science. It is highlighted that the cognitive paradigm represented a change in the Social Sciences due to the shift of focus from the object and the signal to the individual. Besides that, it sheds light to the notion of models of worlds, i.e., the systems of categories and concepts that guide the interaction between the individual and his/her environment. Thirdly, the theoretical assumptions of the cognitive viewpoint approach are discussed, with emphasis on the concept of ‘information’, as resulting of cognitive processes and as related to the notion of ‘text’. This approach points out the relevance of understanding the interaction amongst users, information, and text. However, it lacks further development. Using notions which are common to both approaches, some of the gaps can be fulfilled. Finally, the concept of ‘text’, its constituents and structures are presented from the perspective of text comprehension models and according to the information processing approach. As a concluding remark, it is suggested that bringing together the cognitive viewpoint and the information processing approach can be enriching and fruitful to the both Information

  10. Tensors in image processing and computer vision

    CERN Document Server

    De Luis García, Rodrigo; Tao, Dacheng; Li, Xuelong

    2009-01-01

    Tensor signal processing is an emerging field with important applications to computer vision and image processing. This book presents the developments in this branch of signal processing, offering research and discussions by experts in the area. It is suitable for advanced students working in the area of computer vision and image processing.

  11. The cerebellum and cognition: evidence from functional imaging studies.

    Science.gov (United States)

    Stoodley, Catherine J

    2012-06-01

    Evidence for a role of the human cerebellum in cognitive functions comes from anatomical, clinical and neuroimaging data. Functional neuroimaging reveals cerebellar activation during a variety of cognitive tasks, including language, visual-spatial, executive, and working memory processes. It is important to note that overt movement is not a prerequisite for cerebellar activation: the cerebellum is engaged during conditions which either control for motor output or do not involve motor responses. Resting-state functional connectivity data reveal that, in addition to networks underlying motor control, the cerebellum is part of "cognitive" networks with prefrontal and parietal association cortices. Consistent with these findings, regional differences in activation patterns within the cerebellum are evident depending on the task demands, suggesting that the cerebellum can be broadly divided into functional regions based on the patterns of anatomical connectivity between different regions of the cerebellum and sensorimotor and association areas of the cerebral cortex. However, the distinct contribution of the cerebellum to cognitive tasks is not clear. Here, the functional neuroimaging evidence for cerebellar involvement in cognitive functions is reviewed and related to hypotheses as to why the cerebellum is active during such tasks. Identifying the precise role of the cerebellum in cognition-as well as the mechanism by which the cerebellum modulates performance during a wide range of tasks-remains a challenge for future investigations.

  12. Optoelectronic imaging of speckle using image processing method

    Science.gov (United States)

    Wang, Jinjiang; Wang, Pengfei

    2018-01-01

    A detailed image processing of laser speckle interferometry is proposed as an example for the course of postgraduate student. Several image processing methods were used together for dealing with optoelectronic imaging system, such as the partial differential equations (PDEs) are used to reduce the effect of noise, the thresholding segmentation also based on heat equation with PDEs, the central line is extracted based on image skeleton, and the branch is removed automatically, the phase level is calculated by spline interpolation method, and the fringe phase can be unwrapped. Finally, the imaging processing method was used to automatically measure the bubble in rubber with negative pressure which could be used in the tire detection.

  13. Fuzzy image processing and applications with Matlab

    CERN Document Server

    Chaira, Tamalika

    2009-01-01

    In contrast to classical image analysis methods that employ ""crisp"" mathematics, fuzzy set techniques provide an elegant foundation and a set of rich methodologies for diverse image-processing tasks. However, a solid understanding of fuzzy processing requires a firm grasp of essential principles and background knowledge.Fuzzy Image Processing and Applications with MATLAB® presents the integral science and essential mathematics behind this exciting and dynamic branch of image processing, which is becoming increasingly important to applications in areas such as remote sensing, medical imaging,

  14. Energy source perceptions and policy support: Image associations, emotional evaluations, and cognitive beliefs

    International Nuclear Information System (INIS)

    Barnes Truelove, Heather

    2012-01-01

    This paper represents the most in-depth effort conducted to date to assess affective, emotional and cognitive perceptions of coal, natural gas, nuclear, and wind energy and the relationship between these perceptions and support for the energy sources. U.S. residents, recruited from a consumer panel, completed surveys assessing image associations, emotional reactions, and cognitive beliefs about energy sources and support for increased reliance on energy sources and local siting of energy facilities. The content of images produced by participants when evaluating energy sources revealed several interesting findings. Additionally, analysis of the image evaluations, emotions, and beliefs about each energy source showed that coal and nuclear energy were viewed most negatively, with natural gas in the middle, and wind viewed most positively. Importantly, these affective, emotional, and cognitive perceptions explained significant amounts of variance in support for each of the energy sources. Implications for future researchers and policy makers are discussed. - Highlights: ► Image associations, emotions, and beliefs about energy sources were measured. ► A dual-process model of energy support was proposed and tested. ► Coal and nuclear were viewed most negatively and wind was viewed most positively. ► The cognitive-affective model predicted support for each energy source.

  15. How visual cognition influences process model comprehension

    NARCIS (Netherlands)

    Petrusel, Razvan; Mendling, Jan; Reijers, Hajo A.

    2017-01-01

    Process analysts and other professionals extensively use process models to analyze business processes and identify performance improvement opportunities. Therefore, it is important that such models can be easily and properly understood. Previous research has mainly focused on two types of factors

  16. Supporting Multiple Cognitive Processing Styles Using Tailored Support Systems

    International Nuclear Information System (INIS)

    Tuan Q. Tran; Karen M. Feigh; Amy R. Pritchett

    2007-01-01

    According to theories of cognitive processing style or cognitive control mode, human performance is more effective when an individual's cognitive state (e.g., intuition/scramble vs. deliberate/strategic) matches his/her ecological constraints or context (e.g., utilize intuition to strive for a 'good-enough' response instead of deliberating for the 'best' response under high time pressure). Ill-mapping between cognitive state and ecological constraints are believed to lead to degraded task performance. Consequently, incorporating support systems which are designed to specifically address multiple cognitive and functional states e.g., high workload, stress, boredom, and initiate appropriate mitigation strategies (e.g., reduce information load) is essential to reduce plant risk. Utilizing the concept of Cognitive Control Models, this paper will discuss the importance of tailoring support systems to match an operator's cognitive state, and will further discuss the importance of these ecological constraints in selecting and implementing mitigation strategies for safe and effective system performance. An example from the nuclear power plant industry illustrating how a support system might be tailored to support different cognitive states is included

  17. Digital image processing techniques in archaeology

    Digital Repository Service at National Institute of Oceanography (India)

    Santanam, K.; Vaithiyanathan, R.; Tripati, S.

    Digital image processing involves the manipulation and interpretation of digital images with the aid of a computer. This form of remote sensing actually began in the 1960's with a limited number of researchers analysing multispectral scanner data...

  18. Mesh Processing in Medical Image Analysis

    DEFF Research Database (Denmark)

    The following topics are dealt with: mesh processing; medical image analysis; interactive freeform modeling; statistical shape analysis; clinical CT images; statistical surface recovery; automated segmentation; cerebral aneurysms; and real-time particle-based representation....

  19. Enhancement of image contrast in linacgram through image processing

    International Nuclear Information System (INIS)

    Suh, Hyun Suk; Shin, Hyun Kyo; Lee, Re Na

    2000-01-01

    Conventional radiation therapy portal images gives low contrast images. The purpose of this study was to enhance image contrast of a linacgram by developing a low--cost image processing method. Chest linacgram was obtained by irradiating humanoid phantom and scanned using Diagnostic-Pro scanner for image processing. Several types of scan method were used in scanning. These include optical density scan, histogram equalized scan, linear histogram based scan, linear histogram independent scan, linear optical density scan, logarithmic scan, and power square root scan. The histogram distribution of the scanned images were plotted and the ranges of the gray scale were compared among various scan types. The scanned images were then transformed to the gray window by pallette fitting method and the contrast of the reprocessed portal images were evaluated for image improvement. Portal images of patients were also taken at various anatomic sites and the images were processed by Gray Scale Expansion (GSE) method. The patient images were analyzed to examine the feasibility of using the GSE technique in clinic. The histogram distribution showed that minimum and maximum gray scale ranges of 3192 and 21940 were obtained when the image was scanned using logarithmic method and square root method, respectively. Out of 256 gray scale, only 7 to 30% of the steps were used. After expanding the gray scale to full range, contrast of the portal images were improved. Experiment performed with patient image showed that improved identification of organs were achieved by GSE in portal images of knee joint, head and neck, lung, and pelvis. Phantom study demonstrated that the GSE technique improved image contrast of a linacgram. This indicates that the decrease in image quality resulting from the dual exposure, could be improved by expanding the gray scale. As a result, the improved technique will make it possible to compare the digitally reconstructed radiographs (DRR) and simulation image for

  20. A Functional Examination of Intermediate Cognitive Processes.

    Science.gov (United States)

    1986-01-01

    in terms of levels of processing models (e.g., Craik and Lockhart , 1972; Craik and Tulving, 1975). A similarly counter-intuitive result from a novel...NJ.: Erlbaum. Craik ,F.I.M. & Lockhart ,R.S. (1972). Levels of processing : A framework for memory research. Journal of Verbal Learning and Verbal... processes or at least, a recognition of the correspondence betveen these symbols and external events. ( Craik , 1943, p. 50) Craik thus provides a

  1. Image processing for medical diagnosis using CNN

    International Nuclear Information System (INIS)

    Arena, Paolo; Basile, Adriano; Bucolo, Maide; Fortuna, Luigi

    2003-01-01

    Medical diagnosis is one of the most important area in which image processing procedures are usefully applied. Image processing is an important phase in order to improve the accuracy both for diagnosis procedure and for surgical operation. One of these fields is tumor/cancer detection by using Microarray analysis. The research studies in the Cancer Genetics Branch are mainly involved in a range of experiments including the identification of inherited mutations predisposing family members to malignant melanoma, prostate and breast cancer. In bio-medical field the real-time processing is very important, but often image processing is a quite time-consuming phase. Therefore techniques able to speed up the elaboration play an important rule. From this point of view, in this work a novel approach to image processing has been developed. The new idea is to use the Cellular Neural Networks to investigate on diagnostic images, like: Magnetic Resonance Imaging, Computed Tomography, and fluorescent cDNA microarray images

  2. An investigation of cognitive 'branching' processes in major depression.

    Science.gov (United States)

    Walsh, Nicholas D; Seal, Marc L; Williams, Steven C R; Mehta, Mitul A

    2009-11-10

    Patients with depression demonstrate cognitive impairment on a wide range of cognitive tasks, particularly putative tasks of frontal lobe function. Recent models of frontal lobe function have argued that the frontal pole region is involved in cognitive branching, a process requiring holding in mind one goal while performing sub-goal processes. Evidence for this model comes from functional neuroimaging and frontal-pole lesion patients. We have utilised these new concepts to investigate the possibility that patients with depression are impaired at cognitive 'branching'. 11 non-medicated patients with major depression were compared to 11 matched controls in a behavioural study on a task of cognitive 'branching'. In the version employed here, we recorded participant's performance as they learnt to perform the task. This involved participants completing a control condition, followed by a working memory condition, a dual-task condition and finally the branching condition, which integrates processes in the working memory and dual-task conditions. We also measured participants on a number of other cognitive tasks as well as mood-state before and after the branching experiment. Patients took longer to learn the first condition, but performed comparably to controls after six runs of the task. Overall, reaction times decreased with repeated exposure on the task conditions in controls, with this effect attenuated in patients. Importantly, no differences were found between patients and controls on the branching condition. There was, however, a significant change in mood-state with patients increasing in positive affect and decreasing in negative affect after the experiment. We found no clear evidence of a fundamental impairment in anterior prefrontal 'branching processes' in patients with depression. Rather our data argue for a contextual learning impairment underlying cognitive dysfunction in this disorder. Our data suggest that MDD patients are able to perform high

  3. Cognitive Processes in Dissociation: Comment on Giesbrecht et al. (2008)

    OpenAIRE

    Bremner, J. Douglas

    2010-01-01

    In “Cognitive Processes in Dissociation: An Analysis of Core Theoretical Assumptions,” published in Psychological Bulletin, Giesbrecht, Lynn, Lilienfeld, and Merckelbach (2008) have challenged the widely accepted trauma theory of dissociation, which holds that dissociative symptoms are caused by traumatic stress. In doing so the authors outline a series of links between various constructs, such as fantasy proneness, cognitive failures, absorption, suggestibility, altered information-processin...

  4. Hierarchical Categorical Perception in Sensing and Cognitive Processes

    DEFF Research Database (Denmark)

    Bruni, Luis Emilio

    2008-01-01

    This article considers categorical perception (CP) as a crucial process involved in all sort of communication throughout the biological hierarchy, i.e. in all of biosemiosis. Until now, there has been consideration of CP exclusively within the functional cycle of perception-cognition-action and i...... of categorical sensing and perception with the equally hierarchical issues of the "binding problem", "triadic causality", the "emergent interpretant" and the increasing semiotic freedom observed in biological and cognitive systems....

  5. Image processing in diabetic related causes

    CERN Document Server

    Kumar, Amit

    2016-01-01

    This book is a collection of all the experimental results and analysis carried out on medical images of diabetic related causes. The experimental investigations have been carried out on images starting from very basic image processing techniques such as image enhancement to sophisticated image segmentation methods. This book is intended to create an awareness on diabetes and its related causes and image processing methods used to detect and forecast in a very simple way. This book is useful to researchers, Engineers, Medical Doctors and Bioinformatics researchers.

  6. Imaging episodic memory: implications for cognitive theories and phenomena.

    Science.gov (United States)

    Nyberg, L

    1999-01-01

    Functional neuroimaging studies are beginning to identify neuroanatomical correlates of various cognitive functions. This paper presents results relevant to several theories and phenomena of episodic memory, including component processes of episodic retrieval, encoding specificity, inhibition, item versus source memory, encoding-retrieval overlap, and the picture-superiority effect. Overall, by revealing specific activation patterns, the results provide support for existing theoretical views and they add some unique information which may be important to consider in future attempts to develop cognitive theories of episodic memory.

  7. Neural processes underlying cultural differences in cognitive persistence.

    Science.gov (United States)

    Telzer, Eva H; Qu, Yang; Lin, Lynda C

    2017-08-01

    Self-improvement motivation, which occurs when individuals seek to improve upon their competence by gaining new knowledge and improving upon their skills, is critical for cognitive, social, and educational adjustment. While many studies have delineated the neural mechanisms supporting extrinsic motivation induced by monetary rewards, less work has examined the neural processes that support intrinsically motivated behaviors, such as self-improvement motivation. Because cultural groups traditionally vary in terms of their self-improvement motivation, we examined cultural differences in the behavioral and neural processes underlying motivated behaviors during cognitive persistence in the absence of extrinsic rewards. In Study 1, 71 American (47 females, M=19.68 years) and 68 Chinese (38 females, M=19.37 years) students completed a behavioral cognitive control task that required cognitive persistence across time. In Study 2, 14 American and 15 Chinese students completed the same cognitive persistence task during an fMRI scan. Across both studies, American students showed significant declines in cognitive performance across time, whereas Chinese participants demonstrated effective cognitive persistence. These behavioral effects were explained by cultural differences in self-improvement motivation and paralleled by increasing activation and functional coupling between the inferior frontal gyrus (IFG) and ventral striatum (VS) across the task among Chinese participants, neural activation and coupling that remained low in American participants. These findings suggest a potential neural mechanism by which the VS and IFG work in concert to promote cognitive persistence in the absence of extrinsic rewards. Thus, frontostriatal circuitry may be a neurobiological signal representing intrinsic motivation for self-improvement that serves an adaptive function, increasing Chinese students' motivation to engage in cognitive persistence. Copyright © 2017 Elsevier Inc. All rights

  8. Cognitive and Emotion Regulation Change Processes in Cognitive Behavioural Therapy for Social Anxiety Disorder.

    Science.gov (United States)

    O'Toole, Mia S; Mennin, Douglas S; Hougaard, Esben; Zachariae, Robert; Rosenberg, Nicole K

    2015-01-01

    The objective of the study was to investigate variables, derived from both cognitive and emotion regulation conceptualizations of social anxiety disorder (SAD), as possible change processes in cognitive behaviour therapy (CBT) for SAD. Several proposed change processes were investigated: estimated probability, estimated cost, safety behaviours, acceptance of emotions, cognitive reappraisal and expressive suppression. Participants were 50 patients with SAD, receiving a standard manualized CBT program, conducted in groups or individually. All variables were measured pre-therapy, mid-therapy and post-therapy. Lower level mediation models revealed that while a change in most process measures significantly predicted clinical improvement, only changes in estimated probability and cost and acceptance of emotions showed significant indirect effects of CBT for SAD. The results are in accordance with previous studies supporting the mediating role of changes in cognitive distortions in CBT for SAD. In addition, acceptance of emotions may also be a critical component to clinical improvement in SAD during CBT, although more research is needed on which elements of acceptance are most helpful for individuals with SAD. The study's lack of a control condition limits any conclusion regarding the specificity of the findings to CBT. Change in estimated probability and cost, and acceptance of emotions showed an indirect effect of CBT for SAD. Cognitive distortions appear relevant to target with cognitive restructuring techniques. Finding acceptance to have an indirect effect could be interpreted as support for contemporary CBT approaches that include acceptance-based strategies. Copyright © 2014 John Wiley & Sons, Ltd.

  9. Cognitive aging on latent constructs for visual processing capacity

    DEFF Research Database (Denmark)

    Nielsen, Simon; Wilms, Inge Linda

    2015-01-01

    processing speed compared to visual short-term memory (VSTM) capacity (Model 2). These results are consistent with some studies reporting selective ageing effects on processing speed, and inconsistent with other studies reporting ageing effects on both processing speed and VSTM capacity. In the discussion we......We examined the effects of normal ageing on visual cognition in a sample of 112 healthy adults aged 60-75. A testbattery was designed to capture high-level measures of visual working memory and low-level measures of visuospatial attention and memory. To answer questions of how cognitive ageing...

  10. Organization of bubble chamber image processing

    International Nuclear Information System (INIS)

    Gritsaenko, I.A.; Petrovykh, L.P.; Petrovykh, Yu.L.; Fenyuk, A.B.

    1985-01-01

    A programme of bubble chamber image processing is described. The programme is written in FORTRAN, it is developed for the DEC-10 computer and is designed for operation of semi-automation processing-measurement projects PUOS-2 and PUOS-4. Fornalization of the image processing permits to use it for different physical experiments

  11. An Applied Image Processing for Radiographic Testing

    International Nuclear Information System (INIS)

    Ratchason, Surasak; Tuammee, Sopida; Srisroal Anusara

    2005-10-01

    An applied image processing for radiographic testing (RT) is desirable because it decreases time-consuming, decreases the cost of inspection process that need the experienced workers, and improves the inspection quality. This paper presents the primary study of image processing for RT-films that is the welding-film. The proposed approach to determine the defects on weld-images. The BMP image-files are opened and developed by computer program that using Borland C ++ . The software has five main methods that are Histogram, Contrast Enhancement, Edge Detection, Image Segmentation and Image Restoration. Each the main method has the several sub method that are the selected options. The results showed that the effective software can detect defects and the varied method suit for the different radiographic images. Furthermore, improving images are better when two methods are incorporated

  12. Information Processing Approaches to Cognitive Development

    Science.gov (United States)

    1988-07-01

    Craik . F.I.M., & Lockhart , R.S. (1972). Levels of processing : A framework for memory research. Journal of Verbal Learning and Verbal Behavior, 11...task at both levels of performance, then one would, in both cases, postulate systems that had the ability to process symbols at the microscopic level ...821760s and early 70s. (cf. Atkinson & Shiffrin. 1968: Craik & Lockhart . 1972: Norman, Rumelhart, & LNR, 1975). This architecture is comprised of several

  13. Information Processing and Dynamics in Minimally Cognitive Agents

    Science.gov (United States)

    Beer, Randall D.; Williams, Paul L.

    2015-01-01

    There has been considerable debate in the literature about the relative merits of information processing versus dynamical approaches to understanding cognitive processes. In this article, we explore the relationship between these two styles of explanation using a model agent evolved to solve a relational categorization task. Specifically, we…

  14. The Process of Student Cognition in Constructing Mathematical Conjecture

    Science.gov (United States)

    Astawa, I. Wayan Puja; Budayasa, I. Ketut; Juniati, Dwi

    2018-01-01

    This research aims to describe the process of student cognition in constructing mathematical conjecture. Many researchers have studied this process but without giving a detailed explanation of how students understand the information to construct a mathematical conjecture. The researchers focus their analysis on how to construct and prove the…

  15. Image processing on the image with pixel noise bits removed

    Science.gov (United States)

    Chuang, Keh-Shih; Wu, Christine

    1992-06-01

    Our previous studies used statistical methods to assess the noise level in digital images of various radiological modalities. We separated the pixel data into signal bits and noise bits and demonstrated visually that the removal of the noise bits does not affect the image quality. In this paper we apply image enhancement techniques on noise-bits-removed images and demonstrate that the removal of noise bits has no effect on the image property. The image processing techniques used are gray-level look up table transformation, Sobel edge detector, and 3-D surface display. Preliminary results show no noticeable difference between original image and noise bits removed image using look up table operation and Sobel edge enhancement. There is a slight enhancement of the slicing artifact in the 3-D surface display of the noise bits removed image.

  16. Image processing applications: From particle physics to society

    International Nuclear Information System (INIS)

    Sotiropoulou, C.-L.; Citraro, S.; Dell'Orso, M.; Luciano, P.; Gkaitatzis, S.; Giannetti, P.

    2017-01-01

    We present an embedded system for extremely efficient real-time pattern recognition execution, enabling technological advancements with both scientific and social impact. It is a compact, fast, low consumption processing unit (PU) based on a combination of Field Programmable Gate Arrays (FPGAs) and the full custom associative memory chip. The PU has been developed for real time tracking in particle physics experiments, but delivers flexible features for potential application in a wide range of fields. It has been proposed to be used in accelerated pattern matching execution for Magnetic Resonance Fingerprinting (biomedical applications), in real time detection of space debris trails in astronomical images (space applications) and in brain emulation for image processing (cognitive image processing). We illustrate the potentiality of the PU for the new applications.

  17. THE INTERNAL AUDIT AS COGNITIVE PROCESS

    Directory of Open Access Journals (Sweden)

    D. Petrascu

    2016-11-01

    Full Text Available The term AUDIT generally comes from the Latin word "audire" to listen and to inform others, from today's Anglo-Saxon countries, this term has the meaning of a revision of the accounting information and of those of a different nature, realized by an independent professional, in view of expressing an opinion regarding the regularity and honesty of the audited information (1 §tefan Craciun, Audit financiar §i audit intern, The Economic Publishing House, Bucharest, 2004, page 22. In a general register, an audit has the purpose to grant an entity added value by a systematic and methodic approach, evaluating the risk management processes, the control processes and the governing processes, all of which are materialized within an objective and professional report.

  18. Cognitive processes, models and metaphors in decision research

    Directory of Open Access Journals (Sweden)

    Ben Newell

    2008-03-01

    Full Text Available Decision research in psychology has traditionally been influenced by the extit{homo oeconomicus} metaphor with its emphasis on normative models and deviations from the predictions of those models. In contrast, the principal metaphor of cognitive psychology conceptualizes humans as `information processors', employing processes of perception, memory, categorization, problem solving and so on. Many of the processes described in cognitive theories are similar to those involved in decision making, and thus increasing cross-fertilization between the two areas is an important endeavour. A wide range of models and metaphors has been proposed to explain and describe `information processing' and many models have been applied to decision making in ingenious ways. This special issue encourages cross-fertilization between cognitive psychology and decision research by providing an overview of current perspectives in one area that continues to highlight the benefits of the synergistic approach: cognitive modeling of multi-attribute decision making. In this introduction we discuss aspects of the cognitive system that need to be considered when modeling multi-attribute decision making (e.g., automatic versus controlled processing, learning and memory constraints, metacognition and illustrate how such aspects are incorporated into the approaches proposed by contributors to the special issue. We end by discussing the challenges posed by the contrasting and sometimes incompatible assumptions of the models and metaphors.

  19. Understanding the cognitive processes involved in writing to learn.

    Science.gov (United States)

    Arnold, Kathleen M; Umanath, Sharda; Thio, Kara; Reilly, Walter B; McDaniel, Mark A; Marsh, Elizabeth J

    2017-06-01

    Writing is often used as a tool for learning. However, empirical support for the benefits of writing-to-learn is mixed, likely because the literature conflates diverse activities (e.g., summaries, term papers) under the single umbrella of writing-to-learn. Following recent trends in the writing-to-learn literature, the authors focus on the underlying cognitive processes. They draw on the largely independent writing-to-learn and cognitive psychology learning literatures to identify important cognitive processes. The current experiment examines learning from 3 writing tasks (and 1 nonwriting control), with an emphasis on whether or not the tasks engaged retrieval. Tasks that engaged retrieval (essay writing and free recall) led to better final test performance than those that did not (note taking and highlighting). Individual differences in structure building (the ability to construct mental representations of narratives; Gernsbacher, Varner, & Faust, 1990) modified this effect; skilled structure builders benefited more from essay writing and free recall than did less skilled structure builders. Further, more essay-like responses led to better performance, implicating the importance of additional cognitive processes such as reorganization and elaboration. The results highlight how both task instructions and individual differences affect the cognitive processes involved when writing-to-learn, with consequences for the effectiveness of the learning strategy. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  20. Cognitive processing of currency: Euros and Dollars.

    Science.gov (United States)

    Macizo, Pedro; Morales, Luis

    2015-11-01

    In the current study, we evaluated whether the processing of currency was determined by familiarity of people with banknotes. In Experiment 1, participants who used the Euro currency named sequences of Euro banknotes and Dollar banknotes blocked by category or mixed with exemplars of other categories. The participants showed an interference effect in the blocked context with Dollar banknotes but not with Euro banknotes. In Experiment 2, the interference effect was observed with Euro banknotes when participants were not familiar with the Euro currency. These results suggest that the semantic processing of banknotes depends on the participants' familiarity with currency. © 2015 The British Psychological Society.

  1. Experimentally induced distraction impacts cognitive but not emotional processes in think-aloud cognitive assessment

    Directory of Open Access Journals (Sweden)

    Kean J. Hsu

    2014-05-01

    Full Text Available Studies have examined the impact of distraction on basic task performance (e.g., working memory, motor responses, yet research is lacking regarding its impact in the domain of think-aloud cognitive assessment, where the threat to assessment validity is high. The Articulated Thoughts in Simulated Situations think-aloud cognitive assessment paradigm was employed to address this issue. Participants listened to scenarios under three conditions (i.e., while answering trivia questions, playing a visual puzzle game, or with no experimental distractor. Their articulated thoughts were then content-analyzed both by the Linguistic Inquiry and Word Count (LIWC program and by content analysis of emotion and cognitive processes conducted by trained coders. Distraction did not impact indices of emotion but did affect cognitive processes. Specifically, with the LIWC system, the trivia questions distraction condition resulted in significantly higher proportions of insight and causal words, and higher frequencies of non-fluencies (e.g., uh or umm and filler words (e.g., like or you know. Coder-rated content analysis found more disengagement and more misunderstanding particularly in the trivia questions distraction condition. A better understanding of how distraction disrupts the amount and type of cognitive engagement holds important implications for future studies employing cognitive assessment methods.

  2. Cognitive conflict increases processing of negative, task-irrelevant stimuli.

    Science.gov (United States)

    Ligeza, Tomasz S; Wyczesany, Miroslaw

    2017-10-01

    The detection of cognitive conflict is thought to trigger adjustments in executive control. It has been recently shown that cognitive conflict increases processing of stimuli that are relevant to the ongoing task and that these modulations are exerted by the dorsolateral prefrontal cortex (DLPFC). However, it is still unclear whether such control influences are unspecific and might also affect the processing of task-irrelevant stimuli. The aim of the study was to examine if cognitive conflict affects processing of neutral and negative, task-irrelevant pictures. Participants responded to congruent (non-conflict) or to incongruent (conflict-eliciting) trials of a modified flanker task. Each response was followed by a presentation of a neutral or negative picture. The late positive potential (LPP) in response to picture presentation was used to assess the level of picture processing after conflict vs non-conflict trials. Connectivity between the DLPFC and attentional and perceptual areas during picture presentation was analysed to check if the DLPFC might be a source of these modulations. ERP results showed an effect of cognitive conflict only on processing of negative pictures: LPP in response to negative pictures was increased after conflict trials, whereas LPP in response to neutral pictures remained unchanged. Cortical connectivity analysis showed that conflict trials intensified information flow from the DLPFC towards attentional and perceptual regions. Results suggest that cognitive conflict increases processing of task-irrelevant stimuli; however, they must display high biological salience. Increase in cognitive control exerted by the DLPFC over attentional and perceptual regions is a probable mechanism of the effect. Copyright © 2017 Elsevier B.V. All rights reserved.

  3. Matching rendered and real world images by digital image processing

    Science.gov (United States)

    Mitjà, Carles; Bover, Toni; Bigas, Miquel; Escofet, Jaume

    2010-05-01

    Recent advances in computer-generated images (CGI) have been used in commercial and industrial photography providing a broad scope in product advertising. Mixing real world images with those rendered from virtual space software shows a more or less visible mismatching between corresponding image quality performance. Rendered images are produced by software which quality performance is only limited by the resolution output. Real world images are taken with cameras with some amount of image degradation factors as lens residual aberrations, diffraction, sensor low pass anti aliasing filters, color pattern demosaicing, etc. The effect of all those image quality degradation factors can be characterized by the system Point Spread Function (PSF). Because the image is the convolution of the object by the system PSF, its characterization shows the amount of image degradation added to any taken picture. This work explores the use of image processing to degrade the rendered images following the parameters indicated by the real system PSF, attempting to match both virtual and real world image qualities. The system MTF is determined by the slanted edge method both in laboratory conditions and in the real picture environment in order to compare the influence of the working conditions on the device performance; an approximation to the system PSF is derived from the two measurements. The rendered images are filtered through a Gaussian filter obtained from the taking system PSF. Results with and without filtering are shown and compared measuring the contrast achieved in different final image regions.

  4. Brain imaging and cognitive dysfunctions in Huntington's disease

    Science.gov (United States)

    Montoya, Alonso; Price, Bruce H.; Menear, Matthew; Lepage, Martin

    2006-01-01

    Recent decades have seen tremendous growth in our understanding of the cognitive dysfunctions observed in Huntington's disease (HD). Advances in neuroimaging have contributed greatly to this growth. We reviewed the role that structural and functional neuroimaging techniques have played in elucidating the cerebral bases of the cognitive deficits associated with HD. We conducted a computer-based search using PubMed and PsycINFO databases to retrieve studies of patients with HD published between 1965 and December 2004 that reported measures on cognitive tasks and used neuroimaging techniques. Structural neuroimaging has provided important evidence of morphological brain changes in HD. Striatal and cortical atrophy are the most common findings, and they correlate with cognitive deficits in attention, working memory and executive functions. Functional studies have also demonstrated correlations between striatal dysfunction and cognitive performance. Striatal hypoperfusion and decreased glucose utilization correlate with executive dysfunction. Hypometabolism also occurs throughout the cerebral cortex and correlates with performance on recognition memory, language and perceptual tests. Measures of presynaptic and postsynaptic dopamine biochemistry have also correlated with measurements of episodic memory, speed of processing and executive functioning. Aided by the results of numerous neuroimaging studies, it is becoming increasingly clear that cognitive deficits in HD involve abnormal connectivity between the basal ganglia and cortical areas. In the future, neuroimaging techniques may shed the most light on the pathophysiology of HD by defining neurodegenerative disease phenotypes as a valuable tool for knowing when patients become “symptomatic,” having been in a gene-positive presymptomatic state, and as a biomarker in following the disease, thereby providing a prospect for improved patient care. PMID:16496032

  5. Literacy processes cognitive flexibility in learning and teaching

    CERN Document Server

    Cartwright, Kelly B

    2015-01-01

    Reading and writing instruction require individuals--both students and teachers--to flexibly process many kinds of information, from a variety of sources. This is the first book to provide an in-depth examination of cognitive flexibility: how it develops across the lifespan; its role in specific literacy processes, such as phonemic awareness, word recognition, and comprehension; and implications for improving literacy instruction and teacher education. The contributors include leading researchers in literacy, psychology, and cognitive development, who summarize the current state of the science

  6. Applied medical image processing a basic course

    CERN Document Server

    Birkfellner, Wolfgang

    2014-01-01

    A widely used, classroom-tested text, Applied Medical Image Processing: A Basic Course delivers an ideal introduction to image processing in medicine, emphasizing the clinical relevance and special requirements of the field. Avoiding excessive mathematical formalisms, the book presents key principles by implementing algorithms from scratch and using simple MATLAB®/Octave scripts with image data and illustrations on an accompanying CD-ROM or companion website. Organized as a complete textbook, it provides an overview of the physics of medical image processing and discusses image formats and data storage, intensity transforms, filtering of images and applications of the Fourier transform, three-dimensional spatial transforms, volume rendering, image registration, and tomographic reconstruction.

  7. Hormones as Difference Makers in Cognitive and Socioemotional Aging Processes

    Directory of Open Access Journals (Sweden)

    Natalie eEbner

    2015-01-01

    Full Text Available Aging is associated with well-recognized alterations in brain function, some of which are reflected in cognitive decline. While less appreciated, there is also considerable evidence of socioemotional changes later in life, some of which are beneficial. In this review, we examine age-related changes and individual differences in four neuroendocrine systems—cortisol, estrogen, testosterone, and oxytocin—as difference makers in these processes. This suite of interrelated hormonal systems actively coordinates regulatory processes in brain and behavior throughout development, and their level and function fluctuate during the aging process. Despite these facts, their specific impact in cognitive and socioemotional aging has received relatively limited study. It is known that chronically elevated levels of the stress hormone cortisol exert neurotoxic effects on the aging brain with negative impacts on cognition and socioemotional functioning. In contrast, the sex hormones estrogen and testosterone appear to have neuroprotective effects in cognitive aging, but may decrease prosociality. Higher levels of the neuropeptide oxytocin benefit socioemotional functioning, but little is known about the effects of oxytocin on cognition or about age-related changes in the oxytocin system. In this paper, we will review the role of these hormones in the context of cognitive and socioemotional aging. In particular, we address the aforementioned gap in the literature by: 1 examining both singular actions and interrelations of these four hormonal systems; 2 exploring their correlations and causal relationships with aspects of cognitive and socioemotional aging; and 3 considering multilevel internal and external influences on these hormone systems within the framework of explanatory pluralism. We conclude with a discussion of promising future research directions.

  8. Visualization of decision processes using a cognitive architecture

    Science.gov (United States)

    Livingston, Mark A.; Murugesan, Arthi; Brock, Derek; Frost, Wende K.; Perzanowski, Dennis

    2013-01-01

    Cognitive architectures are computational theories of reasoning the human mind engages in as it processes facts and experiences. A cognitive architecture uses declarative and procedural knowledge to represent mental constructs that are involved in decision making. Employing a model of behavioral and perceptual constraints derived from a set of one or more scenarios, the architecture reasons about the most likely consequence(s) of a sequence of events. Reasoning of any complexity and depth involving computational processes, however, is often opaque and challenging to comprehend. Arguably, for decision makers who may need to evaluate or question the results of autonomous reasoning, it would be useful to be able to inspect the steps involved in an interactive, graphical format. When a chain of evidence and constraint-based decision points can be visualized, it becomes easier to explore both how and why a scenario of interest will likely unfold in a particular way. In initial work on a scheme for visualizing cognitively-based decision processes, we focus on generating graphical representations of models run in the Polyscheme cognitive architecture. Our visualization algorithm operates on a modified version of Polyscheme's output, which is accomplished by augmenting models with a simple set of tags. We provide example visualizations and discuss properties of our technique that pose challenges for our representation goals. We conclude with a summary of feedback solicited from domain experts and practitioners in the field of cognitive modeling.

  9. The neural bases of cognitive processes in gambling disorder

    OpenAIRE

    Potenza, Marc N.

    2014-01-01

    Functional imaging is offering powerful new tools to investigate the neurobiology of cognitive functioning in people with and without psychiatric conditions like gambling disorder. Based on similarities between gambling and substance-use disorders in neurocognitive and other domains, gambling disorder has recently been classified in DSM-5 as a behavioral addiction. Despite the advances in understanding, there exist multiple unanswered questions about the pathophysiology underlying gambling di...

  10. Image processing in nondestructive testing

    International Nuclear Information System (INIS)

    Janney, D.H.

    1976-01-01

    In those applications where the principal desire is for higher throughput, the problem often becomes one of automatic feature extraction and mensuration. Classically these problems can be approached by means of either an optical image processor or an analysis in the digital computer. Optical methods have the advantages of low cost and very high speed, but are often inflexible and are sometimes very difficult to implement due to practical problems. Computerized methods can be very flexible, they can use very powerful mathematical techniques, but usually are difficult to implement for very high throughput. Recent technological developments in microprocessors and in electronic analog image analyzers may furnish the key to resolving the shortcomings of the two classical methods of image analysis

  11. How Digital Image Processing Became Really Easy

    Science.gov (United States)

    Cannon, Michael

    1988-02-01

    In the early and mid-1970s, digital image processing was the subject of intense university and corporate research. The research lay along two lines: (1) developing mathematical techniques for improving the appearance of or analyzing the contents of images represented in digital form, and (2) creating cost-effective hardware to carry out these techniques. The research has been very effective, as evidenced by the continued decline of image processing as a research topic, and the rapid increase of commercial companies to market digital image processing software and hardware.

  12. Effects of cognitive behavioral counseling on body Image following mastectomy.

    Science.gov (United States)

    Fadaei, Simin; Janighorban, Mojgan; Mehrabi, Tayebe; Ahmadi, Sayed Ahmadi; Mokaryan, Fariborz; Gukizade, Abbas

    2011-08-01

    Breast cancer is the most common cancer in women. Surgical treatment of breast cancer may cause body image alterations. The purpose of the current study was to examine the effects of cognitive behavioral counseling on body image among Iranian women with primary breast cancer. In this quasi-experimental designed study, 72 patients diagnosed as breast cancer and surgically treated were enrolled in Isfahan, Iran. The patients were entered the study by convenience sampling method and were randomly divided in two groups of intervention (n = 32) and control (n = 40). The intervention group received consultation based on Ellis rational emotive behavior therapy (REBT) method for 6 sessions during 3 weeks. The control group did not receive any consultation Paired t-test was used to compare the changes in groups and independent t-test was conducted to compare two groups. The average values represented as mean ± standard deviation. Before the study, the body image score was not significantly different between the intervention (16 97 ± 5 44) and control (15 95 ± 4 66) groups (t = 0 86, P = 0 395). The body image score was significantly lower in the interven-tion group (9 03 ± 6 11) compared to control group (17 18 ± 5 27) after the intervention (t = -6 07, P influences her breast cancer treatment decision, oncology professionals need to recognize the value of a woman's favorite about appearance and body image. This study emphasizes the importance of offering consultation in breast cancer patients.

  13. Quantitative image processing in fluid mechanics

    Science.gov (United States)

    Hesselink, Lambertus; Helman, James; Ning, Paul

    1992-01-01

    The current status of digital image processing in fluid flow research is reviewed. In particular, attention is given to a comprehensive approach to the extraction of quantitative data from multivariate databases and examples of recent developments. The discussion covers numerical simulations and experiments, data processing, generation and dissemination of knowledge, traditional image processing, hybrid processing, fluid flow vector field topology, and isosurface analysis using Marching Cubes.

  14. Cognitive impairment after traumatic brain injury: a functional magnetic resonance imaging study using the Stroop task

    Energy Technology Data Exchange (ETDEWEB)

    Soeda, Akio; Iwama, Toru [Gifu University School of Medicine, Department of Neurosurgery, Gifu City (Japan); Nakashima, Toshihiko; Okumura, Ayumi; Shinoda, Jun [Kizawa Memorial Hospital, Chubu Medical Center for Prolonged Traumatic Brain Dysfunction, Department of Neurosurgery, Minokamo (Japan); Kuwata, Kazuo [Gifu University School of Medicine, Department of Biochemistry and Biophysics, Gifu (Japan)

    2005-07-01

    The anterior cingulate cortex (ACC) plays a key role in cognition, motor function, and emotion processing. However, little is known about how traumatic brain injury (TBI) affects the ACC system. Our purpose was to compare, by functional magnetic resonance imaging (fMRI) studies, the patterns of cortical activation in patients with cognitive impairment after TBI and those of normal subjects. Cortical activation maps of 11 right-handed healthy control subjects and five TBI patients with cognitive impairment were recorded in response to a Stroop task during a block-designed fMRI experiment. Statistical parametric mapping (SPM99) was used for individual subjects and group analysis. In TBI patients and controls, cortical activation, found in similar regions of the frontal, occipital, and parietal lobes, resembled patterns of activation documented in previous neuroimaging studies of the Stroop task in healthy controls. However, the TBI patients showed a relative decrease in ACC activity compared with the controls. Cognitive impairment in TBI patients seems to be associated with alterations in functional cerebral activity, especially less activation of the ACC. These changes are probably the result of destruction of neural networks after diffuse axonal injury and may reflect cortical disinhibition attributable to disconnection or compensation for an inefficient cognitive process. (orig.)

  15. Cognitive impairment after traumatic brain injury: a functional magnetic resonance imaging study using the Stroop task

    International Nuclear Information System (INIS)

    Soeda, Akio; Iwama, Toru; Nakashima, Toshihiko; Okumura, Ayumi; Shinoda, Jun; Kuwata, Kazuo

    2005-01-01

    The anterior cingulate cortex (ACC) plays a key role in cognition, motor function, and emotion processing. However, little is known about how traumatic brain injury (TBI) affects the ACC system. Our purpose was to compare, by functional magnetic resonance imaging (fMRI) studies, the patterns of cortical activation in patients with cognitive impairment after TBI and those of normal subjects. Cortical activation maps of 11 right-handed healthy control subjects and five TBI patients with cognitive impairment were recorded in response to a Stroop task during a block-designed fMRI experiment. Statistical parametric mapping (SPM99) was used for individual subjects and group analysis. In TBI patients and controls, cortical activation, found in similar regions of the frontal, occipital, and parietal lobes, resembled patterns of activation documented in previous neuroimaging studies of the Stroop task in healthy controls. However, the TBI patients showed a relative decrease in ACC activity compared with the controls. Cognitive impairment in TBI patients seems to be associated with alterations in functional cerebral activity, especially less activation of the ACC. These changes are probably the result of destruction of neural networks after diffuse axonal injury and may reflect cortical disinhibition attributable to disconnection or compensation for an inefficient cognitive process. (orig.)

  16. Image processing techniques for remote sensing data

    Digital Repository Service at National Institute of Oceanography (India)

    RameshKumar, M.R.

    interpretation and for processing of scene data for autonomous machine perception. The technique of digital image processing are used for' automatic character/pattern recognition, industrial robots for product assembly and inspection, military recognizance... and spatial co-ordinates into discrete components. The mathematical concepts involved are the sampling and transform theory. Two dimensional transforms are used for image enhancement, restoration, encoding and description too. The main objective of the image...

  17. Cognitive and metacognitive processes in self-regulation of learning

    Directory of Open Access Journals (Sweden)

    Erika Tomec

    2006-08-01

    Full Text Available The purpose of the present study was to investigate differences among secondary school students in cognitive and metacognitive processes in self-regulated learning (SRL according to year of education, learning program, sex and achievement. Beside this, the autors were interested in the relationship between (metacognitive components of self-regulated learning. The theoretical framework of the research was the four-component model of self-regulated learning by Hofer, Yu and Pintrich (1998. The focus was on the first part of the model which is about cognitive structure and cognitive strategies.Metacognitive awareness inventory (Shraw and Sperling Dennison, 1994 and Cognitive strategies awareness questionnaire (Pečjak, 2000, in Peklaj and Pečjak, 2002 were applied. In a sample of 321 students, differences in perception of importance of cognitive strategies among students attending different grades (1st and 4th, students attending different learning programs, students of different gender and students with different achievements emerged. Students' achievement in the whole sample was related to amount of metacognitive awareness. In the sample of 4-year students and students attending professional secondary schools, students' achievement was additionally related to appraisal of importance elaboration and organizational strategies. Further statistical analyses of relationship between components in SRL showed high positive correlation between cognitive and metacognitive components.

  18. Information processing and dynamics in minimally cognitive agents.

    Science.gov (United States)

    Beer, Randall D; Williams, Paul L

    2015-01-01

    There has been considerable debate in the literature about the relative merits of information processing versus dynamical approaches to understanding cognitive processes. In this article, we explore the relationship between these two styles of explanation using a model agent evolved to solve a relational categorization task. Specifically, we separately analyze the operation of this agent using the mathematical tools of information theory and dynamical systems theory. Information-theoretic analysis reveals how task-relevant information flows through the system to be combined into a categorization decision. Dynamical analysis reveals the key geometrical and temporal interrelationships underlying the categorization decision. Finally, we propose a framework for directly relating these two different styles of explanation and discuss the possible implications of our analysis for some of the ongoing debates in cognitive science. Copyright © 2014 Cognitive Science Society, Inc.

  19. N-3 PUFAs and neuroinflammatory processes in cognitive disorders

    Directory of Open Access Journals (Sweden)

    Leyrolle Quentin

    2016-01-01

    Full Text Available With the ageing population and increased cases of neurodegenerative diseases, there is a crucial need for the development of new nutritional approaches to prevent and delay the onset of cognitive decline. Neuroinflammatory processes contribute to neuronal damage that underpins neurodegenerative disorders. Growing evidence sheds light on the use of dietary n-3 long chain polyunsaturated fatty acids to improve cognitive performances and reduce the neuroinflammatory responses occurring with age and neurodegenerative pathologies. This review will summarise the most recent information related to the impact and mechanisms underlying the neuroinflammatory processes in cognitive disorders. We will also discuss the mechanisms underlying n-3 polyunsaturated fatty acids effect on neuroinflammation and memory decline.

  20. Effects of cognitive training based on metamemory and mental images

    Directory of Open Access Journals (Sweden)

    Thaís Bento Lima-Silva

    Full Text Available Abstract There is scant research evidence regarding training effects among elderly with limited educational experience. Research indicating an association between metamemory and memory performance is based on samples of older adults with at least 12 years of education. Objectives: To test the efficacy of a cognitive training program based on the creation of mental images and changes in specific aspects of metamemory in individuals with 3 to 15 years of education (M=8.38, SD=4.24. Methods: 37 older adults participated in five training sessions (Training Group (TG and 32 control subjects completed only pre and post test assessments (Control Group (CG including the Mini Mental Status Examination (MMSE, the Geriatric Depression Scale (GDS, the Brief Cognitive Screening Battery (BCSB (naming and memorization of 10 pictures, animal category verbal fluency test, the Clock Drawing Test (CDT, the Story subtest from the Rivermead Behavioural Memory Test (RBMT, the Memory Complaint Questionnaire (MAC-Q, and the Picture and Story domains from the Memory Self-Efficacy Questionnaire (MSEQ. Results: The TG showed significant improvement between pre and post tests on the delayed recall of the 10 pictures and in self-efficacy for the memorization of stories. These same changes were not found in the CG . Conclusions: Five-session cognitive training may lead to significant improvements in episodic memory and memory self-efficacy, an aspect of metamemory, in individuals with an average of 8 years of education.

  1. Intelligent medical image processing by simulated annealing

    International Nuclear Information System (INIS)

    Ohyama, Nagaaki

    1992-01-01

    Image processing is being widely used in the medical field and already has become very important, especially when used for image reconstruction purposes. In this paper, it is shown that image processing can be classified into 4 categories; passive, active, intelligent and visual image processing. These 4 classes are explained at first through the use of several examples. The results show that the passive image processing does not give better results than the others. Intelligent image processing, then, is addressed, and the simulated annealing method is introduced. Due to the flexibility of the simulated annealing, formulated intelligence is shown to be easily introduced in an image reconstruction problem. As a practical example, 3D blood vessel reconstruction from a small number of projections, which is insufficient for conventional method to give good reconstruction, is proposed, and computer simulation clearly shows the effectiveness of simulated annealing method. Prior to the conclusion, medical file systems such as IS and C (Image Save and Carry) is pointed out to have potential for formulating knowledge, which is indispensable for intelligent image processing. This paper concludes by summarizing the advantages of simulated annealing. (author)

  2. Dual-Process Theories of Higher Cognition: Advancing the Debate.

    Science.gov (United States)

    Evans, Jonathan St B T; Stanovich, Keith E

    2013-05-01

    Dual-process and dual-system theories in both cognitive and social psychology have been subjected to a number of recently published criticisms. However, they have been attacked as a category, incorrectly assuming there is a generic version that applies to all. We identify and respond to 5 main lines of argument made by such critics. We agree that some of these arguments have force against some of the theories in the literature but believe them to be overstated. We argue that the dual-processing distinction is supported by much recent evidence in cognitive science. Our preferred theoretical approach is one in which rapid autonomous processes (Type 1) are assumed to yield default responses unless intervened on by distinctive higher order reasoning processes (Type 2). What defines the difference is that Type 2 processing supports hypothetical thinking and load heavily on working memory. © The Author(s) 2013.

  3. Impact of negative cognitions about body image on inflammatory status in relation to health.

    Science.gov (United States)

    Černelič-Bizjak, Maša; Jenko-Pražnikar, Zala

    2014-01-01

    Evidence suggests that body dissatisfaction may relate to biological processes and that negative cognitions can influence physical health through the complex pathways linking psychological and biological factors. The present study investigates the relationships between body image satisfaction, inflammation (cytokine levels), aerobic fitness level and obesity in 96 middle-aged men and women (48 normal and 48 overweight). All participants underwent measurements of body satisfaction, body composition, serological measurements of inflammation and aerobic capabilities assessment. Body image dissatisfaction uniquely predicted inflammation biomarkers, C-reactive protein and tumour necrosis factor-α, even when controlled for obesity indicators. Thus, body image dissatisfaction is strongly linked to inflammation processes and may promote the increase in cytokines, representing a relative metabolic risk, independent of most traditional risk factors, such as gender, body mass index and intra-abdominal (waist to hip ratio) adiposity. Results highlight the fact that person's negative cognitions need to be considered in psychologically based interventions and strategies in treatment of obesity, including strategies for health promotion. Results contribute to the knowledge base of the complex pathways in the association between psychological factors and physical illness and some important attempts were made to explain the psychological pathways linking cognitions with inflammation.

  4. New MR imaging observation in HIV-related cognitive impairment (AIDS dementia complex)

    International Nuclear Information System (INIS)

    Ketonen, L.; Kieburtz, K.D.; Zetteimaier, A.; Simon, J.H.; Kido, D.K.

    1989-01-01

    MR findings have been reported on the acquired immunodeficiency syndrome (AIDS) demential complex, but the findings are late relative to clinical signs. This paper reports on a new MR finding observed in patients with human immunodeficiency virus (HIV)-related cognitive impairment studied early in the disease process. Fifty-two patients had a total of 86 MR images. Al images were obtained with a 1.5-T system (protondensity, spin-echo, TR/TE = 2,000/30 [repetition time/echo time, msec]). High-signal lesions were seen in the region of the splenium of the corpus callosum and in the crura of the fornices. The lesions demonstrated no contrast enhancement with Gd-DTPA. Pathologic examination was performed in four patients. The fornix-subcallosal abnormality may have relevance to the memory dysfunction in patients with HIV-related cognitive impairment

  5. Influence of empathetic pain processing on cognition in schizophrenia.

    Science.gov (United States)

    Hu, Kesong; Lijffijt, Marijn; Beauchaine, Theodore P; Fan, Zhiwei; Shi, Hui; He, Shuchang

    2015-10-01

    Deficits in both empathy and cognition have been reported widely in patients with schizophrenia. However, little is known about how these deficits interact among such patients. In the present study, we used pain portraying pictures preceding a color-word Stroop task to investigate the effect of empathetic pain observation on cognition among patients with schizophrenia. Twenty patients with schizophrenia and twenty healthy controls were included. The control group showed increased Stroop facilitation and decreased interference during the empathetic pain condition compared with the non-empathetic condition. Although patients with schizophrenia exhibited deficits in cognition, they demonstrated a similar empathy effect to controls on Stroop facilitation, but a somewhat larger empathy effect on Stroop interference (a more decreased effect). In particular, the groups did not differ in either automatic or controlled processing during the non-empathetic condition, suggesting general rather than specific cognitive deficits in schizophrenia. Together, we interpret our findings in terms of two opposing effects of empathy on cognition in schizophrenia, with possible neuromodulatory mechanism. Whereas prior studies showed empathy to be impaired, our outcomes indicate that at least some components of empathetic pain processing are preserved in such patients.

  6. Analysis of Variance in Statistical Image Processing

    Science.gov (United States)

    Kurz, Ludwik; Hafed Benteftifa, M.

    1997-04-01

    A key problem in practical image processing is the detection of specific features in a noisy image. Analysis of variance (ANOVA) techniques can be very effective in such situations, and this book gives a detailed account of the use of ANOVA in statistical image processing. The book begins by describing the statistical representation of images in the various ANOVA models. The authors present a number of computationally efficient algorithms and techniques to deal with such problems as line, edge, and object detection, as well as image restoration and enhancement. By describing the basic principles of these techniques, and showing their use in specific situations, the book will facilitate the design of new algorithms for particular applications. It will be of great interest to graduate students and engineers in the field of image processing and pattern recognition.

  7. Cognitive processes in alcohol binges: A review and research agenda

    NARCIS (Netherlands)

    Field, M.; Schoenmakers, T.; Wiers, R.W.

    2008-01-01

    Alcohol abuse is associated with a cluster of long-term changes in cognitive processes, as predicted by contemporary models of addiction. In this paper we review evidence which suggests that similar changes may occur during an alcohol binge, and as such they may play an important role in explaining

  8. Cognitive processes in alcohol binges: a review and research agenda

    NARCIS (Netherlands)

    Field, M.; Schoenmakers, T.M.; Wiers, R.W.H.J.

    2008-01-01

    Alcohol abuse is associated with a cluster of long-term changes in cognitive processes, as predicted by contemporary models of addiction. In this paper we review evidence which suggests that similar changes may occur during an alcohol binge, and as such they may play an important role in explaining

  9. Developmental Dynamics of Emotion and Cognition Processes in Preschoolers

    Science.gov (United States)

    Blankson, A. Nayena; O'Brien, Marion; Leerkes, Esther M.; Marcovitch, Stuart; Calkins, Susan D.; Weaver, Jennifer Miner

    2013-01-01

    Dynamic relations during the preschool years across processes of control and understanding in the domains of emotion and cognition were examined. Participants were 263 children (42% non-White) and their mothers who were seen first when the children were 3 years old and again when they were 4. Results indicated dynamic dependence among the…

  10. Big Questions Facing Vocational Psychology: A Cognitive Information Processing Perspective

    Science.gov (United States)

    Reardon, Robert C.; Lenz, Janet G.; Sampson, James P., Jr.; Peterson, Gary W.

    2011-01-01

    This article draws upon the authors' experience in developing cognitive information processing theory in order to examine three important questions facing vocational psychology and assessment: (a) Where should new knowledge for vocational psychology come from? (b) How do career theories and research find their way into practice? and (c) What is…

  11. Eye Contact Modulates Cognitive Processing Differently in Children with Autism

    Science.gov (United States)

    Falck-Ytter, Terje; Carlström, Christoffer; Johansson, Martin

    2015-01-01

    In humans, effortful cognitive processing frequently takes place during social interaction, with eye contact being an important component. This study shows that the effect of eye contact on memory for nonsocial information is different in children with typical development than in children with autism, a disorder of social communication. Direct…

  12. Cognitive Process as a Basis for Intelligent Retrieval Systems Design.

    Science.gov (United States)

    Chen, Hsinchun; Dhar, Vasant

    1991-01-01

    Two studies of the cognitive processes involved in online document-based information retrieval were conducted. These studies led to the development of five computational models of online document retrieval which were incorporated into the design of an "intelligent" document-based retrieval system. Both the system and the broader implications of…

  13. Cognitive Processes in Dissociation: Comment on Giesbrecht et al. (2008)

    Science.gov (United States)

    Bremner, J. Douglas

    2010-01-01

    In their recent review "Cognitive Processes in Dissociation: An Analysis of Core Theoretical Assumptions," published in "Psychological Bulletin", Giesbrecht, Lynn, Lilienfeld, and Merckelbach (2008) have challenged the widely accepted trauma theory of dissociation, which holds that dissociative symptoms are caused by traumatic stress. In doing so,…

  14. On Dual Processing and Heuristic Approaches to Moral Cognition

    Science.gov (United States)

    Lapsley, Daniel K.; Hill, Patrick L.

    2008-01-01

    We examine the implications of dual-processing theories of cognition for the moral domain, with particular emphasis upon "System 1" theories: the Social Intuitionist Model (Haidt), moral heuristics (Sunstein), fast-and-frugal moral heuristics (Gigerenzer), schema accessibility (Lapsley & Narvaez) and moral expertise (Narvaez). We argue that these…

  15. Working memory span in mild cognitive impairment. Influence of processing speed and cognitive reserve.

    Science.gov (United States)

    Facal, David; Juncos-Rabadán, Onésimo; Pereiro, Arturo X; Lojo-Seoane, Cristina

    2014-04-01

    Mild cognitive impairment (MCI) often includes episodic memory impairment, but can also involve other types of cognitive decline. Although previous studies have shown poorer performance of MCI patients in working memory (WM) span tasks, different MCI subgroups were not studied. In the present exploratory study, 145 participants underwent extensive cognitive evaluation, which included three different WM span tasks, and were classified into the following groups: multiple-domain amnestic MCI (mda-MCI), single-domain amnestic MCI (sda-MCI), and controls. General linear model was conducted by considering the WM span tasks as the within-subject factor; the group (mda-MCI, sda-MCI, and controls) as the inter-subject factor; and processing speed, vocabulary and age as covariates. Multiple linear regression models were also used to test the influence of processing speed, vocabulary, and other cognitive reserve (CR) proxies. Results indicate different levels of impairment of WM, with more severe impairment in mda-MCI patients. The differences were still present when processing resources and CR were controlled. Between-group differences can be understood as a manifestation of the greater severity and widespread memory impairment in mda-MCI patients and may contribute to a better understanding of continuum from normal controls to mda-MCI patients. Processing speed and CR have a limited influence on WM scores, reducing but not removing differences between groups.

  16. Stable image acquisition for mobile image processing applications

    Science.gov (United States)

    Henning, Kai-Fabian; Fritze, Alexander; Gillich, Eugen; Mönks, Uwe; Lohweg, Volker

    2015-02-01

    Today, mobile devices (smartphones, tablets, etc.) are widespread and of high importance for their users. Their performance as well as versatility increases over time. This leads to the opportunity to use such devices for more specific tasks like image processing in an industrial context. For the analysis of images requirements like image quality (blur, illumination, etc.) as well as a defined relative position of the object to be inspected are crucial. Since mobile devices are handheld and used in constantly changing environments the challenge is to fulfill these requirements. We present an approach to overcome the obstacles and stabilize the image capturing process such that image analysis becomes significantly improved on mobile devices. Therefore, image processing methods are combined with sensor fusion concepts. The approach consists of three main parts. First, pose estimation methods are used to guide a user moving the device to a defined position. Second, the sensors data and the pose information are combined for relative motion estimation. Finally, the image capturing process is automated. It is triggered depending on the alignment of the device and the object as well as the image quality that can be achieved under consideration of motion and environmental effects.

  17. Change Processes in Residential Cognitive and Interpersonal Psychotherapy for Social Phobia: A Process-Outcome Study

    Science.gov (United States)

    Hoffart, Asle; Borge, Finn-Magnus; Sexton, Harold; Clark, David M.

    2009-01-01

    The purpose of this study was to test cognitive and interpersonal models for improving social phobia. Eighty patients with social phobia were randomized to 10-week residential cognitive (RCT) or residential interpersonal psychotherapy (RIPT). They completed process measures every Thursday and a sub-outcome measure every Monday. The ratings were…

  18. Cellular automata in image processing and geometry

    CERN Document Server

    Adamatzky, Andrew; Sun, Xianfang

    2014-01-01

    The book presents findings, views and ideas on what exact problems of image processing, pattern recognition and generation can be efficiently solved by cellular automata architectures. This volume provides a convenient collection in this area, in which publications are otherwise widely scattered throughout the literature. The topics covered include image compression and resizing; skeletonization, erosion and dilation; convex hull computation, edge detection and segmentation; forgery detection and content based retrieval; and pattern generation. The book advances the theory of image processing, pattern recognition and generation as well as the design of efficient algorithms and hardware for parallel image processing and analysis. It is aimed at computer scientists, software programmers, electronic engineers, mathematicians and physicists, and at everyone who studies or develops cellular automaton algorithms and tools for image processing and analysis, or develops novel architectures and implementations of mass...

  19. ARTIP: Automated Radio Telescope Image Processing Pipeline

    Science.gov (United States)

    Sharma, Ravi; Gyanchandani, Dolly; Kulkarni, Sarang; Gupta, Neeraj; Pathak, Vineet; Pande, Arti; Joshi, Unmesh

    2018-02-01

    The Automated Radio Telescope Image Processing Pipeline (ARTIP) automates the entire process of flagging, calibrating, and imaging for radio-interferometric data. ARTIP starts with raw data, i.e. a measurement set and goes through multiple stages, such as flux calibration, bandpass calibration, phase calibration, and imaging to generate continuum and spectral line images. Each stage can also be run independently. The pipeline provides continuous feedback to the user through various messages, charts and logs. It is written using standard python libraries and the CASA package. The pipeline can deal with datasets with multiple spectral windows and also multiple target sources which may have arbitrary combinations of flux/bandpass/phase calibrators.

  20. An investigation of cognitive 'branching' processes in major depression

    Directory of Open Access Journals (Sweden)

    Williams Steven CR

    2009-11-01

    Full Text Available Abstract Background Patients with depression demonstrate cognitive impairment on a wide range of cognitive tasks, particularly putative tasks of frontal lobe function. Recent models of frontal lobe function have argued that the frontal pole region is involved in cognitive branching, a process requiring holding in mind one goal while performing sub-goal processes. Evidence for this model comes from functional neuroimaging and frontal-pole lesion patients. We have utilised these new concepts to investigate the possibility that patients with depression are impaired at cognitive 'branching'. Methods 11 non-medicated patients with major depression were compared to 11 matched controls in a behavioural study on a task of cognitive 'branching'. In the version employed here, we recorded participant's performance as they learnt to perform the task. This involved participants completing a control condition, followed by a working memory condition, a dual-task condition and finally the branching condition, which integrates processes in the working memory and dual-task conditions. We also measured participants on a number of other cognitive tasks as well as mood-state before and after the branching experiment. Results Patients took longer to learn the first condition, but performed comparably to controls after six runs of the task. Overall, reaction times decreased with repeated exposure on the task conditions in controls, with this effect attenuated in patients. Importantly, no differences were found between patients and controls on the branching condition. There was, however, a significant change in mood-state with patients increasing in positive affect and decreasing in negative affect after the experiment. Conclusion We found no clear evidence of a fundamental impairment in anterior prefrontal 'branching processes' in patients with depression. Rather our data argue for a contextual learning impairment underlying cognitive dysfunction in this disorder. Our

  1. Commentary: cognitive-affective mechanisms and processes in autobiographical memory.

    Science.gov (United States)

    Conway, Martin A

    2003-03-01

    This commentary highlights some of the interesting points to emerge from the preceding papers about the self, social, and directive functions of autobiographical memory. Additionally some cognitive functions are also considered and especially the way in which autobiographical memory supports, constrains, and maintains the goals of the self. Directions for future research into the self, social, directive, and cognitive-affective functions and processes of autobiographical memory are reviewed. Emphasis is placed on future research into the function of autobiographical memory in representations of attachment.

  2. Effects of cognitive behavioral counseling on body Image following mastectomy

    Directory of Open Access Journals (Sweden)

    Simin Fadaei

    2011-01-01

    Full Text Available Background: Breast cancer is the most common cancer in women. Surgical treatment of breast cancer may cause body image alterations. The purpose of the current study was to examine the effects of cognitive behavioral counseling on body image among Iranian women with primary breast cancer. Methods: In this quasi-experimental designed study, 72 patients diagnosed as breast cancer and surgically treated were enrolled in Isfahan, Iran. The patients were entered the study by convenience sampling method and were randomly di-vided in two groups of intervention (n = 32 and control (n = 40. The intervention group received consultation based on Ellis rational emotive behavior therapy (REBT method for 6 sessions during 3 weeks. The control group did not re-ceive any consultation Paired t-test was used to compare the changes in groups and independent t-test was conducted to compare two groups. The average values represented as mean ± standard deviation. Results: Before the study, the body image score was not significantly different between the intervention (16 97 ± 5 44 and control (15 95 ± 4 66 groups (t = 0 86, P = 0 395. The body image score was significantly lower in the interven-tion group (9 03 ± 6 11 compared to control group (17 18 ± 5 27 after the intervention (t = -6 07, P < 0 001. Conclusions: Since a woman′s body image influences her breast cancer treatment decision, oncology professionals need to recognize the value of a woman′s favorite about appearance and body image. This study emphasizes the impor-tance of offering consultation in breast cancer patients.

  3. On some applications of diffusion processes for image processing

    International Nuclear Information System (INIS)

    Morfu, S.

    2009-01-01

    We propose a new algorithm inspired by the properties of diffusion processes for image filtering. We show that purely nonlinear diffusion processes ruled by Fisher equation allows contrast enhancement and noise filtering, but involves a blurry image. By contrast, anisotropic diffusion, described by Perona and Malik algorithm, allows noise filtering and preserves the edges. We show that combining the properties of anisotropic diffusion with those of nonlinear diffusion provides a better processing tool which enables noise filtering, contrast enhancement and edge preserving.

  4. Cognitive processing of orientation discrimination in anisometropic amblyopia.

    Directory of Open Access Journals (Sweden)

    Jianglan Wang

    Full Text Available Cognition is very important in our daily life. However, amblyopia has abnormal visual cognition. Physiological changes of the brain during processes of cognition could be reflected with ERPs. So the purpose of this study was to investigate the speed and the capacity of resource allocation in visual cognitive processing in orientation discrimination task during monocular and binocular viewing conditions of amblyopia and normal control as well as the corresponding eyes of the two groups with ERPs. We also sought to investigate whether the speed and the capacity of resource allocation in visual cognitive processing vary with target stimuli at different spatial frequencies (3, 6 and 9 cpd in amblyopia and normal control as well as between the corresponding eyes of the two groups. Fifteen mild to moderate anisometropic amblyopes and ten normal controls were recruited. Three-stimulus oddball paradigms of three different spatial frequency orientation discrimination tasks were used in monocular and binocular conditions in amblyopes and normal controls to elicit event-related potentials (ERPs. Accuracy (ACC, reaction time (RT, the latency of novelty P300 and P3b, and the amplitude of novelty P300 and P3b were measured. Results showed that RT was longer in the amblyopic eye than in both eyes of amblyopia and non-dominant eye in control. Novelty P300 amplitude was largest in the amblyopic eye, followed by the fellow eye, and smallest in both eyes of amblyopia. Novelty P300 amplitude was larger in the amblyopic eye than non-dominant eye and was larger in fellow eye than dominant eye. P3b latency was longer in the amblyopic eye than in the fellow eye, both eyes of amblyopia and non-dominant eye of control. P3b latency was not associated with RT in amblyopia. Neural responses of the amblyopic eye are abnormal at the middle and late stages of cognitive processing, indicating that the amblyopic eye needs to spend more time or integrate more resources to process

  5. The Groningen image processing system

    International Nuclear Information System (INIS)

    Allen, R.J.; Ekers, R.D.; Terlouw, J.P.

    1985-01-01

    This paper describes an interactive, integrated software and hardware computer system for the reduction and analysis of astronomical images. A short historical introduction is presented before some examples of the astonomical data currently handled by the system are shown. A description is given of the present hardware and software structure. The system is illustrated by describing its appearance to the user, to the applications programmer, and to the system manager. Some quantitative information on the size and cost of the system is given, and its good and bad features are discussed

  6. Process perspective on image quality evaluation

    Science.gov (United States)

    Leisti, Tuomas; Halonen, Raisa; Kokkonen, Anna; Weckman, Hanna; Mettänen, Marja; Lensu, Lasse; Ritala, Risto; Oittinen, Pirkko; Nyman, Göte

    2008-01-01

    The psychological complexity of multivariate image quality evaluation makes it difficult to develop general image quality metrics. Quality evaluation includes several mental processes and ignoring these processes and the use of a few test images can lead to biased results. By using a qualitative/quantitative (Interpretation Based Quality, IBQ) methodology, we examined the process of pair-wise comparison in a setting, where the quality of the images printed by laser printer on different paper grades was evaluated. Test image consisted of a picture of a table covered with several objects. Three other images were also used, photographs of a woman, cityscape and countryside. In addition to the pair-wise comparisons, observers (N=10) were interviewed about the subjective quality attributes they used in making their quality decisions. An examination of the individual pair-wise comparisons revealed serious inconsistencies in observers' evaluations on the test image content, but not on other contexts. The qualitative analysis showed that this inconsistency was due to the observers' focus of attention. The lack of easily recognizable context in the test image may have contributed to this inconsistency. To obtain reliable knowledge of the effect of image context or attention on subjective image quality, a qualitative methodology is needed.

  7. Multispectral image enhancement processing for microsat-borne imager

    Science.gov (United States)

    Sun, Jianying; Tan, Zheng; Lv, Qunbo; Pei, Linlin

    2017-10-01

    With the rapid development of remote sensing imaging technology, the micro satellite, one kind of tiny spacecraft, appears during the past few years. A good many studies contribute to dwarfing satellites for imaging purpose. Generally speaking, micro satellites weigh less than 100 kilograms, even less than 50 kilograms, which are slightly larger or smaller than the common miniature refrigerators. However, the optical system design is hard to be perfect due to the satellite room and weight limitation. In most cases, the unprocessed data captured by the imager on the microsatellite cannot meet the application need. Spatial resolution is the key problem. As for remote sensing applications, the higher spatial resolution of images we gain, the wider fields we can apply them. Consequently, how to utilize super resolution (SR) and image fusion to enhance the quality of imagery deserves studying. Our team, the Key Laboratory of Computational Optical Imaging Technology, Academy Opto-Electronics, is devoted to designing high-performance microsat-borne imagers and high-efficiency image processing algorithms. This paper addresses a multispectral image enhancement framework for space-borne imagery, jointing the pan-sharpening and super resolution techniques to deal with the spatial resolution shortcoming of microsatellites. We test the remote sensing images acquired by CX6-02 satellite and give the SR performance. The experiments illustrate the proposed approach provides high-quality images.

  8. The process of clinical assessment: cognitions of the evaluator

    Directory of Open Access Journals (Sweden)

    Carmelo Ibáñez Aguirre

    2013-08-01

    Full Text Available The cognitive paradigm of the past few decades opens several new possibilities for psychological evaluation.  The objective of this essay is to emphasize the possibilities related to the quality of self-evaluation, specifically professional self-assessment, meaning a critical analysis of one’s own evaluation process. In this essay, metacognition activities and strategies are examined, as are the ways in which these activities and strategies relate to metacognition and cognitive skills. The intent of this theoretical essay is to offer answers to the clinical evaluator’s professional experience. The results indicate that the clinical professional must consider strategies to improve metacognition and cognitive skills through reflection, self-analysis and self-criticism to improve the quality and efficiency of their work.

  9. Imaging process and VIP engagement

    Directory of Open Access Journals (Sweden)

    Starčević Slađana

    2007-01-01

    Full Text Available It's often quoted that celebrity endorsement advertising has been recognized as "an ubiquitous feature of the modern marketing". The researches have shown that this kind of engagement has been producing significantly more favorable reactions of consumers, that is, a higher level of an attention for the advertising messages, a better recall of the message and a brand name, more favorable evaluation and purchasing intentions of the brand, in regard to engagement of the non-celebrity endorsers. A positive influence on a firm's profitability and prices of stocks has also been shown. Therefore marketers leaded by the belief that celebrities represent the effective ambassadors in building of positive brand image or company image and influence an improvement of the competitive position, invest enormous amounts of money for signing the contracts with them. However, this strategy doesn't guarantee success in any case, because it's necessary to take into account many factors. This paper summarizes the results of previous researches in this field and also the recommendations for a more effective use of this kind of advertising.

  10. Cognitive, Emotional, and Social Processes in Psychosis: Refining Cognitive Behavioral Therapy for Persistent Positive Symptoms

    Science.gov (United States)

    Kuipers, Elizabeth; Garety, Philippa; Fowler, David; Freeman, Daniel; Dunn, Graham; Bebbington, Paul

    2006-01-01

    Psychosis used to be thought of as essentially a biological condition unamenable to psychological interventions. However, more recent research has shown that positive symptoms such as delusions and hallucinations are on a continuum with normality and therefore might also be susceptible to adaptations of the cognitive behavioral therapies found useful for anxiety and depression. In the context of a model of cognitive, emotional, and social processes in psychosis, the latest evidence for the putative psychological mechanisms that elicit and maintain symptoms is reviewed. There is now good support for emotional processes in psychosis, for the role of cognitive processes including reasoning biases, for the central role of appraisal, and for the effects of the social environment, including stress and trauma. We have also used virtual environments to test our hypotheses. These developments have improved our understanding of symptom dimensions such as distress and conviction and also provide a rationale for interventions, which have some evidence of efficacy. Therapeutic approaches are described as follows: a collaborative therapeutic relationship, managing dysphoria, helping service users reappraise their beliefs to reduce distress, working on negative schemas, managing and reducing stressful environments if possible, compensating for reasoning biases by using disconfirmation strategies, and considering the full range of evidence in order to reduce high conviction. Theoretical ideas supported by experimental evidence can inform the development of cognitive behavior therapy for persistent positive symptoms of psychosis. PMID:16885206

  11. Design for embedded image processing on FPGAs

    CERN Document Server

    Bailey, Donald G

    2011-01-01

    "Introductory material will consider the problem of embedded image processing, and how some of the issues may be solved using parallel hardware solutions. Field programmable gate arrays (FPGAs) are introduced as a technology that provides flexible, fine-grained hardware that can readily exploit parallelism within many image processing algorithms. A brief review of FPGA programming languages provides the link between a software mindset normally associated with image processing algorithms, and the hardware mindset required for efficient utilization of a parallel hardware design. The bulk of the book will focus on the design process, and in particular how designing an FPGA implementation differs from a conventional software implementation. Particular attention is given to the techniques for mapping an algorithm onto an FPGA implementation, considering timing, memory bandwidth and resource constraints, and efficient hardware computational techniques. Extensive coverage will be given of a range of image processing...

  12. Crack Length Detection by Digital Image Processing

    DEFF Research Database (Denmark)

    Lyngbye, Janus; Brincker, Rune

    1990-01-01

    It is described how digital image processing is used for measuring the length of fatigue cracks. The system is installed in a Personal Computer equipped with image processing hardware and performs automated measuring on plane metal specimens used in fatigue testing. Normally one can not achieve...... a resolution better then that of the image processing equipment. To overcome this problem an extrapolation technique is used resulting in a better resolution. The system was tested on a specimen loaded with different loads. The error σa was less than 0.031 mm, which is of the same size as human measuring...

  13. Crack Detection by Digital Image Processing

    DEFF Research Database (Denmark)

    Lyngbye, Janus; Brincker, Rune

    It is described how digital image processing is used for measuring the length of fatigue cracks. The system is installed in a Personal, Computer equipped with image processing hardware and performs automated measuring on plane metal specimens used in fatigue testing. Normally one can not achieve...... a resolution better than that of the image processing equipment. To overcome this problem an extrapolation technique is used resulting in a better resolution. The system was tested on a specimen loaded with different loads. The error σa was less than 0.031 mm, which is of the same size as human measuring...

  14. Algorithms for image processing and computer vision

    CERN Document Server

    Parker, J R

    2010-01-01

    A cookbook of algorithms for common image processing applications Thanks to advances in computer hardware and software, algorithms have been developed that support sophisticated image processing without requiring an extensive background in mathematics. This bestselling book has been fully updated with the newest of these, including 2D vision methods in content-based searches and the use of graphics cards as image processing computational aids. It's an ideal reference for software engineers and developers, advanced programmers, graphics programmers, scientists, and other specialists wh

  15. Image processing and analysis software development

    International Nuclear Information System (INIS)

    Shahnaz, R.

    1999-01-01

    The work presented in this project is aimed at developing a software 'IMAGE GALLERY' to investigate various image processing and analysis techniques. The work was divided into two parts namely the image processing techniques and pattern recognition, which further comprised of character and face recognition. Various image enhancement techniques including negative imaging, contrast stretching, compression of dynamic, neon, diffuse, emboss etc. have been studied. Segmentation techniques including point detection, line detection, edge detection have been studied. Also some of the smoothing and sharpening filters have been investigated. All these imaging techniques have been implemented in a window based computer program written in Visual Basic Neural network techniques based on Perception model have been applied for face and character recognition. (author)

  16. COGNITIVE SCIENCE DAN COGNITIVE DEVELOPMENT DALAM PEMROSESAN INFORMASI (INFORMATION PROCESSING PADAANAK

    Directory of Open Access Journals (Sweden)

    Ellen Prima

    2017-03-01

    Full Text Available Cognitive science is a science which studies how human mental processes to influence one’s behavior. Principal major issue that needs to be known in the understanding of cognitive science and their development is related to how the initial state of cognitive science itself, the mind is adapted, the development process starting from the concrete to the abstract, the conceptual nature of the change, the difference between learning and development, format representation of the underlying changes in development, the role of implicit and explicit cognitions in the development, the role of the association and the rules in the development, the universal development, cognitive domain and how to influence the development of brain structure. There are three difference in the cognitive domain of the most common sense that domain as a module, as the domain of expertise, and domain as a model of mind.   Ilmu kognitif adalah suatu pengetahuan yang mempelajari tentang bagaimana proses mental manusia dalam mempengaruhi perilaku seseorang. Pokok pembahasan utama yang perlu diketahui dalam memahami ilmu kognitif dan perkembangannya yaitu terkait dengan bagaimana keadaan awal dari ilmu kognitif itu sendiri, pikiran yang teradaptasi, proses perkembangan mulai dari hal yang kongkrit sampai dengan abstrak, sifat konseptual dalam perubahan, perbedaan antara belajar dan pengembangan, format representasi yang mendasari perubahan dalam perkembangan, peran kognisi implisit dan eksplisit dalam perkembangan, peran asosiasi dan aturan dalam perkembangan, perkembangan secara universal, domain kognitif dan bagaimana struktur otak mempengaruhi perkembangan. Ada tiga perbedaan domain kognitif dari indera yang paling umum yaitu domain sebagai modul, domain sebagai bidang keahlian, dan domain sebagai model pikiran.

  17. Signal and image processing in medical applications

    CERN Document Server

    Kumar, Amit; Rahim, B Abdul; Kumar, D Sravan

    2016-01-01

    This book highlights recent findings on and analyses conducted on signals and images in the area of medicine. The experimental investigations involve a variety of signals and images and their methodologies range from very basic to sophisticated methods. The book explains how signal and image processing methods can be used to detect and forecast abnormalities in an easy-to-follow manner, offering a valuable resource for researchers, engineers, physicians and bioinformatics researchers alike.

  18. MR imaging of abnormal synovial processes

    International Nuclear Information System (INIS)

    Quinn, S.F.; Sanchez, R.; Murray, W.T.; Silbiger, M.L.; Ogden, J.; Cochran, C.

    1987-01-01

    MR imaging can directly image abnormal synovium. The authors reviewed over 50 cases with abnormal synovial processes. The abnormalities include Baker cysts, semimembranous bursitis, chronic shoulder bursitis, peroneal tendon ganglion cyst, periarticular abscesses, thickened synovium from rheumatoid and septic arthritis, and synovial hypertrophy secondary to Legg-Calve-Perthes disease. MR imaging has proved invaluable in identifying abnormal synovium, defining the extent and, to a limited degree, characterizing its makeup

  19. Earth Observation Services (Image Processing Software)

    Science.gov (United States)

    1992-01-01

    San Diego State University and Environmental Systems Research Institute, with other agencies, have applied satellite imaging and image processing techniques to geographic information systems (GIS) updating. The resulting images display land use and are used by a regional planning agency for applications like mapping vegetation distribution and preserving wildlife habitats. The EOCAP program provides government co-funding to encourage private investment in, and to broaden the use of NASA-developed technology for analyzing information about Earth and ocean resources.

  20. Morphology and probability in image processing

    International Nuclear Information System (INIS)

    Fabbri, A.G.

    1985-01-01

    The author presents an analysis of some concepts which relate morphological attributes of digital objects to statistically meaningful measures. Some elementary transformations of binary images are described and examples of applications are drawn from the geological and image analysis domains. Some of the morphological models applicablle in astronomy are discussed. It is shown that the development of new spatially oriented computers leads to more extensive applications of image processing in the geosciences

  1. Image processing with a cellular nonlinear network

    International Nuclear Information System (INIS)

    Morfu, S.

    2005-01-01

    A cellular nonlinear network (CNN) based on uncoupled nonlinear oscillators is proposed for image processing purposes. It is shown theoretically and numerically that the contrast of an image loaded at the nodes of the CNN is strongly enhanced, even if this one is initially weak. An image inversion can be also obtained without reconfiguration of the network whereas a gray levels extraction can be performed with an additional threshold filtering. Lastly, an electronic implementation of this CNN is presented

  2. Selections from 2017: Image Processing with AstroImageJ

    Science.gov (United States)

    Kohler, Susanna

    2017-12-01

    Editors note:In these last two weeks of 2017, well be looking at a few selections that we havent yet discussed on AAS Nova from among the most-downloaded paperspublished in AAS journals this year. The usual posting schedule will resume in January.AstroImageJ: Image Processing and Photometric Extraction for Ultra-Precise Astronomical Light CurvesPublished January2017The AIJ image display. A wide range of astronomy specific image display options and image analysis tools are available from the menus, quick access icons, and interactive histogram. [Collins et al. 2017]Main takeaway:AstroImageJ is a new integrated software package presented in a publication led byKaren Collins(Vanderbilt University,Fisk University, andUniversity of Louisville). Itenables new users even at the level of undergraduate student, high school student, or amateur astronomer to quickly start processing, modeling, and plotting astronomical image data.Why its interesting:Science doesnt just happen the momenta telescope captures a picture of a distantobject. Instead, astronomical images must firstbe carefully processed to clean up thedata, and this data must then be systematically analyzed to learn about the objects within it. AstroImageJ as a GUI-driven, easily installed, public-domain tool is a uniquelyaccessible tool for thisprocessing and analysis, allowing even non-specialist users to explore and visualizeastronomical data.Some features ofAstroImageJ:(as reported by Astrobites)Image calibration:generate master flat, dark, and bias framesImage arithmetic:combineimages viasubtraction, addition, division, multiplication, etc.Stack editing:easily perform operations on a series of imagesImage stabilization and image alignment featuresPrecise coordinate converters:calculate Heliocentric and Barycentric Julian DatesWCS coordinates:determine precisely where atelescope was pointed for an image by PlateSolving using Astronomy.netMacro and plugin support:write your own macrosMulti-aperture photometry

  3. A gamma cammera image processing system

    International Nuclear Information System (INIS)

    Chen Weihua; Mei Jufang; Jiang Wenchuan; Guo Zhenxiang

    1987-01-01

    A microcomputer based gamma camera image processing system has been introduced. Comparing with other systems, the feature of this system is that an inexpensive microcomputer has been combined with specially developed hardware, such as, data acquisition controller, data processor and dynamic display controller, ect. Thus the process of picture processing has been speeded up and the function expense ratio of the system raised

  4. Mapping spatial patterns with morphological image processing

    Science.gov (United States)

    Peter Vogt; Kurt H. Riitters; Christine Estreguil; Jacek Kozak; Timothy G. Wade; James D. Wickham

    2006-01-01

    We use morphological image processing for classifying spatial patterns at the pixel level on binary land-cover maps. Land-cover pattern is classified as 'perforated,' 'edge,' 'patch,' and 'core' with higher spatial precision and thematic accuracy compared to a previous approach based on image convolution, while retaining the...

  5. Examination of cognitive fatigue in multiple sclerosis using functional magnetic resonance imaging and diffusion tensor imaging.

    Science.gov (United States)

    Genova, Helen M; Rajagopalan, Venkateswaran; Deluca, John; Das, Abhijit; Binder, Allison; Arjunan, Aparna; Chiaravalloti, Nancy; Wylie, Glenn

    2013-01-01

    The present study investigated the neural correlates of cognitive fatigue in Multiple Sclerosis (MS), looking specifically at the relationship between self-reported fatigue and objective measures of cognitive fatigue. In Experiment 1, functional magnetic resonance imaging (fMRI) was used to examine where in the brain BOLD activity covaried with "state" fatigue, assessed during performance of a task designed to induce cognitive fatigue while in the scanner. In Experiment 2, diffusion tensor imaging (DTI) was used to examine where in the brain white matter damage correlated with increased "trait" fatigue in individuals with MS, assessed by the Fatigue Severity Scale (FSS) completed outside the scanning session. During the cognitively fatiguing task, the MS group had increased brain activity associated with fatigue in the caudate as compared with HCs. DTI findings revealed that reduced fractional anisotropy in the anterior internal capsule was associated with increased self-reported fatigue on the FSS. Results are discussed in terms of identifying a "fatigue-network" in MS.

  6. Examination of cognitive fatigue in multiple sclerosis using functional magnetic resonance imaging and diffusion tensor imaging.

    Directory of Open Access Journals (Sweden)

    Helen M Genova

    Full Text Available The present study investigated the neural correlates of cognitive fatigue in Multiple Sclerosis (MS, looking specifically at the relationship between self-reported fatigue and objective measures of cognitive fatigue. In Experiment 1, functional magnetic resonance imaging (fMRI was used to examine where in the brain BOLD activity covaried with "state" fatigue, assessed during performance of a task designed to induce cognitive fatigue while in the scanner. In Experiment 2, diffusion tensor imaging (DTI was used to examine where in the brain white matter damage correlated with increased "trait" fatigue in individuals with MS, assessed by the Fatigue Severity Scale (FSS completed outside the scanning session. During the cognitively fatiguing task, the MS group had increased brain activity associated with fatigue in the caudate as compared with HCs. DTI findings revealed that reduced fractional anisotropy in the anterior internal capsule was associated with increased self-reported fatigue on the FSS. Results are discussed in terms of identifying a "fatigue-network" in MS.

  7. Brain magnetic resonance imaging correlates of impaired cognition in patients with type 2 diabetes.

    NARCIS (Netherlands)

    Manschot, S.M.; Brands, A.M.; Grond, J. van der; Kessels, R.P.C.; Algra, A.; Kappelle, L.J.; Biessels, G.J.

    2006-01-01

    The structural correlates of impaired cognition in type 2 diabetes are unclear. The present study compared cognition and brain magnetic resonance imaging (MRI) between type 2 diabetic patients and nondiabetic control subjects and assessed the relationship between cognition and MRI findings and blood

  8. Digital image processing in art conservation

    Czech Academy of Sciences Publication Activity Database

    Zitová, Barbara; Flusser, Jan

    č. 53 (2003), s. 44-45 ISSN 0926-4981 Institutional research plan: CEZ:AV0Z1075907 Keywords : art conservation * digital image processing * change detection Subject RIV: JD - Computer Applications, Robotics

  9. Dictionary of computer vision and image processing

    National Research Council Canada - National Science Library

    Fisher, R. B

    2014-01-01

    ... been identified for inclusion since the current edition was published. Revised to include an additional 1000 new terms to reflect current updates, which includes a significantly increased focus on image processing terms, as well as machine learning terms...

  10. Advanced Secure Optical Image Processing for Communications

    Science.gov (United States)

    Al Falou, Ayman

    2018-04-01

    New image processing tools and data-processing network systems have considerably increased the volume of transmitted information such as 2D and 3D images with high resolution. Thus, more complex networks and long processing times become necessary, and high image quality and transmission speeds are requested for an increasing number of applications. To satisfy these two requests, several either numerical or optical solutions were offered separately. This book explores both alternatives and describes research works that are converging towards optical/numerical hybrid solutions for high volume signal and image processing and transmission. Without being limited to hybrid approaches, the latter are particularly investigated in this book in the purpose of combining the advantages of both techniques. Additionally, pure numerical or optical solutions are also considered since they emphasize the advantages of one of the two approaches separately.

  11. Imaging partons in exclusive scattering processes

    Energy Technology Data Exchange (ETDEWEB)

    Diehl, Markus

    2012-06-15

    The spatial distribution of partons in the proton can be probed in suitable exclusive scattering processes. I report on recent performance estimates for parton imaging at a proposed Electron-Ion Collider.

  12. Neural Substrates for Processing Task-Irrelevant Sad Images in Adolescents

    Science.gov (United States)

    Wang, Lihong; Huettel, Scott; De Bellis, Michael D.

    2008-01-01

    Neural systems related to cognitive and emotional processing were examined in adolescents using event-related functional magnetic resonance imaging (fMRI). Ten healthy adolescents performed an emotional oddball task. Subjects detected infrequent circles (targets) within a continual stream of phase-scrambled images (standards). Sad and neutral…

  13. Fragmentation measurement using image processing

    Directory of Open Access Journals (Sweden)

    Farhang Sereshki

    2016-12-01

    Full Text Available In this research, first of all, the existing problems in fragmentation measurement are reviewed for the sake of its fast and reliable evaluation. Then, the available methods used for evaluation of blast results are mentioned. The produced errors especially in recognizing the rock fragments in computer-aided methods, and also, the importance of determination of their sizes in the image analysis methods are described. After reviewing the previous work done, an algorithm is proposed for the automated determination of rock particles’ boundary in the Matlab software. This method can determinate automatically the particles boundary in the minimum time. The results of proposed method are compared with those of Split Desktop and GoldSize software in two automated and manual states. Comparing the curves extracted from different methods reveals that the proposed approach is accurately applicable in measuring the size distribution of laboratory samples, while the manual determination of boundaries in the conventional software is very time-consuming, and the results of automated netting of fragments are very different with the real value due to the error in separation of the objects.

  14. On Processing Hexagonally Sampled Images

    Science.gov (United States)

    2011-07-01

    A. Approved for public release, distribution unlimited. (96ABW-2011-0325) Neuromorphic Infrared Sensor (NIFS) 31 DISTRIBUTION A. Approved...J ••• • Drawn chip size Focal plane size Focal plane resolution Pixel type Pixel pit ch Post -pixel circuitry Interface Process Chip ...analog out 12-bit command bus in two 6-bit words 8-bit digital out Optional 3 input chip select Optional analog out Alternat ive 12 bit input

  15. Processing of space images and geologic interpretation

    Energy Technology Data Exchange (ETDEWEB)

    Yudin, V S

    1981-01-01

    Using data for standard sections, a correlation was established between natural formations in geologic/geophysical dimensions and the form they take in the imaging. With computer processing, important data can be derived from the image. Use of the above correlations has allowed to make a number of preliminary classifications of tectonic structures, and to determine certain ongoing processes in the given section. The derived data may be used for search of useful minerals.

  16. Study on Processing Method of Image Shadow

    Directory of Open Access Journals (Sweden)

    Wang Bo

    2014-07-01

    Full Text Available In order to effectively remove disturbance of shadow and enhance robustness of information processing of computer visual image, this paper makes study on inspection and removal of image shadow. It makes study the continual removal algorithm of shadow based on integration, the illumination surface and texture, it respectively introduces their work principles and realization method, it can effectively carrying processing for shadow by test.

  17. The cognitive processing of the allomorphy in Serbian

    Directory of Open Access Journals (Sweden)

    Jovanović Tamara

    2008-01-01

    Full Text Available In this work, we explored cognitive status of suffix allomorphy of the masculine nouns in instrumental singular in Serbian language (eg. mišom-mišem; pužom-pužem. Allomorphy represents distinct variations in form of the morpheme which does not influence it’s function and meaning (cf. Lyons, 1968. Despite it’s frequent appearance in speech and language production, it has rarely been a subject of psycholinguistic explorations. First goal of this research was to determine whether the cognitive processing of allomorphic nouns has it’s specificities and second goal was to create the base for making and testing hypothesis regarding morphological and/or phonological factors that influence suffix alternation in forming of instrumental singular of masculine nouns. We conducted visual lexical decision experiment and applied a questionnaire created for the needs of investigating allomorphy in language production. Results showed that at least two processes influence cognitive processing of masculine nouns in instrumental singular: (a certain morpho-phonological restrictions that influence appearance of the suffix-em, and (b allomorphy - variations in suffix in instrumental singular. In addition, the findings indicate that allomorphy could be the consequence of the tendency to use more frequent suffix (-om, that eases the processing, and blocks the influence of the morpho-phonological restrictions.

  18. Early skin tumor detection from microscopic images through image processing

    International Nuclear Information System (INIS)

    Siddiqi, A.A.; Narejo, G.B.; Khan, A.M.

    2017-01-01

    The research is done to provide appropriate detection technique for skin tumor detection. The work is done by using the image processing toolbox of MATLAB. Skin tumors are unwanted skin growth with different causes and varying extent of malignant cells. It is a syndrome in which skin cells mislay the ability to divide and grow normally. Early detection of tumor is the most important factor affecting the endurance of a patient. Studying the pattern of the skin cells is the fundamental problem in medical image analysis. The study of skin tumor has been of great interest to the researchers. DIP (Digital Image Processing) allows the use of much more complex algorithms for image processing, and hence, can offer both more sophisticated performance at simple task, and the implementation of methods which would be impossibly by analog means. It allows much wider range of algorithms to be applied to the input data and can avoid problems such as build up of noise and signal distortion during processing. The study shows that few works has been done on cellular scale for the images of skin. This research allows few checks for the early detection of skin tumor using microscopic images after testing and observing various algorithms. After analytical evaluation the result has been observed that the proposed checks are time efficient techniques and appropriate for the tumor detection. The algorithm applied provides promising results in lesser time with accuracy. The GUI (Graphical User Interface) that is generated for the algorithm makes the system user friendly. (author)

  19. Positive affect improves working memory: implications for controlled cognitive processing.

    Science.gov (United States)

    Yang, Hwajin; Yang, Sujin; Isen, Alice M

    2013-01-01

    This study examined the effects of positive affect on working memory (WM) and short-term memory (STM). Given that WM involves both storage and controlled processing and that STM primarily involves storage processing, we hypothesised that if positive affect facilitates controlled processing, it should improve WM more than STM. The results demonstrated that positive affect, compared with neutral affect, significantly enhanced WM, as measured by the operation span task. The influence of positive affect on STM, however, was weaker. These results suggest that positive affect enhances WM, a task that involves controlled processing, not just storage processing. Additional analyses of recall and processing times and accuracy further suggest that improved WM under positive affect is not attributable to motivational differences, but results instead from improved controlled cognitive processing.

  20. Corner-point criterion for assessing nonlinear image processing imagers

    Science.gov (United States)

    Landeau, Stéphane; Pigois, Laurent; Foing, Jean-Paul; Deshors, Gilles; Swiathy, Greggory

    2017-10-01

    Range performance modeling of optronics imagers attempts to characterize the ability to resolve details in the image. Today, digital image processing is systematically used in conjunction with the optoelectronic system to correct its defects or to exploit tiny detection signals to increase performance. In order to characterize these processing having adaptive and non-linear properties, it becomes necessary to stimulate the imagers with test patterns whose properties are similar to the actual scene image ones, in terms of dynamic range, contours, texture and singular points. This paper presents an approach based on a Corner-Point (CP) resolution criterion, derived from the Probability of Correct Resolution (PCR) of binary fractal patterns. The fundamental principle lies in the respectful perception of the CP direction of one pixel minority value among the majority value of a 2×2 pixels block. The evaluation procedure considers the actual image as its multi-resolution CP transformation, taking the role of Ground Truth (GT). After a spatial registration between the degraded image and the original one, the degradation is statistically measured by comparing the GT with the degraded image CP transformation, in terms of localized PCR at the region of interest. The paper defines this CP criterion and presents the developed evaluation techniques, such as the measurement of the number of CP resolved on the target, the transformation CP and its inverse transform that make it possible to reconstruct an image of the perceived CPs. Then, this criterion is compared with the standard Johnson criterion, in the case of a linear blur and noise degradation. The evaluation of an imaging system integrating an image display and a visual perception is considered, by proposing an analysis scheme combining two methods: a CP measurement for the highly non-linear part (imaging) with real signature test target and conventional methods for the more linear part (displaying). The application to

  1. Rotation Covariant Image Processing for Biomedical Applications

    Directory of Open Access Journals (Sweden)

    Henrik Skibbe

    2013-01-01

    Full Text Available With the advent of novel biomedical 3D image acquisition techniques, the efficient and reliable analysis of volumetric images has become more and more important. The amount of data is enormous and demands an automated processing. The applications are manifold, ranging from image enhancement, image reconstruction, and image description to object/feature detection and high-level contextual feature extraction. In most scenarios, it is expected that geometric transformations alter the output in a mathematically well-defined manner. In this paper we emphasis on 3D translations and rotations. Many algorithms rely on intensity or low-order tensorial-like descriptions to fulfill this demand. This paper proposes a general mathematical framework based on mathematical concepts and theories transferred from mathematical physics and harmonic analysis into the domain of image analysis and pattern recognition. Based on two basic operations, spherical tensor differentiation and spherical tensor multiplication, we show how to design a variety of 3D image processing methods in an efficient way. The framework has already been applied to several biomedical applications ranging from feature and object detection tasks to image enhancement and image restoration techniques. In this paper, the proposed methods are applied on a variety of different 3D data modalities stemming from medical and biological sciences.

  2. Fingerprint image enhancement by differential hysteresis processing.

    Science.gov (United States)

    Blotta, Eduardo; Moler, Emilce

    2004-05-10

    A new method to enhance defective fingerprints images through image digital processing tools is presented in this work. When the fingerprints have been taken without any care, blurred and in some cases mostly illegible, as in the case presented here, their classification and comparison becomes nearly impossible. A combination of spatial domain filters, including a technique called differential hysteresis processing (DHP), is applied to improve these kind of images. This set of filtering methods proved to be satisfactory in a wide range of cases by uncovering hidden details that helped to identify persons. Dactyloscopy experts from Policia Federal Argentina and the EAAF have validated these results.

  3. Image processing system for flow pattern measurements

    International Nuclear Information System (INIS)

    Ushijima, Satoru; Miyanaga, Yoichi; Takeda, Hirofumi

    1989-01-01

    This paper describes the development and application of an image processing system for measurements of flow patterns occuring in natural circulation water flows. In this method, the motions of particles scattered in the flow are visualized by a laser light slit and they are recorded on normal video tapes. These image data are converted to digital data with an image processor and then transfered to a large computer. The center points and pathlines of the particle images are numerically analized, and velocity vectors are obtained with these results. In this image processing system, velocity vectors in a vertical plane are measured simultaneously, so that the two dimensional behaviors of various eddies, with low velocity and complicated flow patterns usually observed in natural circulation flows, can be determined almost quantitatively. The measured flow patterns, which were obtained from natural circulation flow experiments, agreed with photographs of the particle movements, and the validity of this measuring system was confirmed in this study. (author)

  4. Image processing for HTS SQUID probe microscope

    International Nuclear Information System (INIS)

    Hayashi, T.; Koetitz, R.; Itozaki, H.; Ishikawa, T.; Kawabe, U.

    2005-01-01

    An HTS SQUID probe microscope has been developed using a high-permeability needle to enable high spatial resolution measurement of samples in air even at room temperature. Image processing techniques have also been developed to improve the magnetic field images obtained from the microscope. Artifacts in the data occur due to electromagnetic interference from electric power lines, line drift and flux trapping. The electromagnetic interference could successfully be removed by eliminating the noise peaks from the power spectrum of fast Fourier transforms of line scans of the image. The drift between lines was removed by interpolating the mean field value of each scan line. Artifacts in line scans occurring due to flux trapping or unexpected noise were removed by the detection of a sharp drift and interpolation using the line data of neighboring lines. Highly detailed magnetic field images were obtained from the HTS SQUID probe microscope by the application of these image processing techniques

  5. The Dark Energy Survey Image Processing Pipeline

    Energy Technology Data Exchange (ETDEWEB)

    Morganson, E.; et al.

    2018-01-09

    The Dark Energy Survey (DES) is a five-year optical imaging campaign with the goal of understanding the origin of cosmic acceleration. DES performs a 5000 square degree survey of the southern sky in five optical bands (g,r,i,z,Y) to a depth of ~24th magnitude. Contemporaneously, DES performs a deep, time-domain survey in four optical bands (g,r,i,z) over 27 square degrees. DES exposures are processed nightly with an evolving data reduction pipeline and evaluated for image quality to determine if they need to be retaken. Difference imaging and transient source detection are also performed in the time domain component nightly. On a bi-annual basis, DES exposures are reprocessed with a refined pipeline and coadded to maximize imaging depth. Here we describe the DES image processing pipeline in support of DES science, as a reference for users of archival DES data, and as a guide for future astronomical surveys.

  6. Behavioral and social cognitive processes in preschool children's social dominance.

    Science.gov (United States)

    Pellegrini, Anthony D; Van Ryzin, Mark J; Roseth, Cary; Bohn-Gettler, Catherine; Dupuis, Danielle; Hickey, Meghan; Peshkam, Annie

    2011-01-01

    This longitudinal, naturalistic study addressed behavioral and social cognitive processes implicated in preschool children's social dominance. In the first objective, we examined the degree to which peer aggression, affiliation, and postaggression reconciliation predicted social dominance across a school year. Consistent with predictions, all three predicted dominance early in the year while only affiliation predicted dominance later in the year, suggesting that aggression, affiliation, and reconciliation were used to establish social dominance where affiliation was used to maintain it. In the second, exploratory, objective we tested the relative importance of social dominance and reconciliation (the Machiavellian and Vygotskian intelligence hypotheses, respectively) in predicting theory of mind/false belief. Results indicated that social dominance accounted for significant variance, beyond that related to reconciliation and affiliation, in predicting theory of mind/false belief status. Results are discussed in terms of specific behavioral and social cognitive processes employed in establishing and maintaining social dominance. © 2011 Wiley-Liss, Inc.

  7. Brain's tumor image processing using shearlet transform

    Science.gov (United States)

    Cadena, Luis; Espinosa, Nikolai; Cadena, Franklin; Korneeva, Anna; Kruglyakov, Alexey; Legalov, Alexander; Romanenko, Alexey; Zotin, Alexander

    2017-09-01

    Brain tumor detection is well known research area for medical and computer scientists. In last decades there has been much research done on tumor detection, segmentation, and classification. Medical imaging plays a central role in the diagnosis of brain tumors and nowadays uses methods non-invasive, high-resolution techniques, especially magnetic resonance imaging and computed tomography scans. Edge detection is a fundamental tool in image processing, particularly in the areas of feature detection and feature extraction, which aim at identifying points in a digital image at which the image has discontinuities. Shearlets is the most successful frameworks for the efficient representation of multidimensional data, capturing edges and other anisotropic features which frequently dominate multidimensional phenomena. The paper proposes an improved brain tumor detection method by automatically detecting tumor location in MR images, its features are extracted by new shearlet transform.

  8. Posttraumatic Stress and Cognitive Processes in Patients with Burns

    OpenAIRE

    Sveen, Josefin

    2011-01-01

    A severe burn is one of the most traumatic injuries a person can experience. Posttraumatic stress disorder (PTSD) is relatively common after burns, and can be devastating for the individual’s possibilities for recovery. The principal aims were to gain knowledge regarding posttraumatic stress symptoms and cognitive processes after burn and to evaluate methods for assessing symptoms of PTSD up to one year after burn. The psychometric properties of a Swedish version of the Impact of Event Scale-...

  9. Computational models of music perception and cognition I: The perceptual and cognitive processing chain

    Science.gov (United States)

    Purwins, Hendrik; Herrera, Perfecto; Grachten, Maarten; Hazan, Amaury; Marxer, Ricard; Serra, Xavier

    2008-09-01

    We present a review on perception and cognition models designed for or applicable to music. An emphasis is put on computational implementations. We include findings from different disciplines: neuroscience, psychology, cognitive science, artificial intelligence, and musicology. The article summarizes the methodology that these disciplines use to approach the phenomena of music understanding, the localization of musical processes in the brain, and the flow of cognitive operations involved in turning physical signals into musical symbols, going from the transducers to the memory systems of the brain. We discuss formal models developed to emulate, explain and predict phenomena involved in early auditory processing, pitch processing, grouping, source separation, and music structure computation. We cover generic computational architectures of attention, memory, and expectation that can be instantiated and tuned to deal with specific musical phenomena. Criteria for the evaluation of such models are presented and discussed. Thereby, we lay out the general framework that provides the basis for the discussion of domain-specific music models in Part II.

  10. Processing approaches to cognition: the impetus from the levels-of-processing framework.

    Science.gov (United States)

    Roediger, Henry L; Gallo, David A; Geraci, Lisa

    2002-01-01

    Processing approaches to cognition have a long history, from act psychology to the present, but perhaps their greatest boost was given by the success and dominance of the levels-of-processing framework. We review the history of processing approaches, and explore the influence of the levels-of-processing approach, the procedural approach advocated by Paul Kolers, and the transfer-appropriate processing framework. Processing approaches emphasise the procedures of mind and the idea that memory storage can be usefully conceptualised as residing in the same neural units that originally processed information at the time of encoding. Processing approaches emphasise the unity and interrelatedness of cognitive processes and maintain that they can be dissected into separate faculties only by neglecting the richness of mental life. We end by pointing to future directions for processing approaches.

  11. Cognitive processing speed in older adults: relationship with white matter integrity.

    Directory of Open Access Journals (Sweden)

    Geoffrey A Kerchner

    Full Text Available Cognitive processing slows with age. We sought to determine the importance of white matter integrity, assessed by diffusion tensor imaging (DTI, at influencing cognitive processing speed among normal older adults, assessed using a novel battery of computerized, non-verbal, choice reaction time tasks. We studied 131 cognitively normal adults aged 55-87 using a cross-sectional design. Each participant underwent our test battery, as well as MRI with DTI. We carried out cross-subject comparisons using tract-based spatial statistics. As expected, reaction time slowed significantly with age. In diffuse areas of frontal and parietal white matter, especially the anterior corpus callosum, fractional anisotropy values correlated negatively with reaction time. The genu and body of the corpus callosum, superior longitudinal fasciculus, and inferior fronto-occipital fasciculus were among the areas most involved. This relationship was not explained by gray or white matter atrophy or by white matter lesion volume. In a statistical mediation analysis, loss of white matter integrity mediated the relationship between age and cognitive processing speed.

  12. Architecture Of High Speed Image Processing System

    Science.gov (United States)

    Konishi, Toshio; Hayashi, Hiroshi; Ohki, Tohru

    1988-01-01

    One of architectures for a high speed image processing system which corresponds to a new algorithm for a shape understanding is proposed. And the hardware system which is based on the archtecture was developed. Consideration points of the architecture are mainly that using processors should match with the processing sequence of the target image and that the developed system should be used practically in an industry. As the result, it was possible to perform each processing at a speed of 80 nano-seconds a pixel.

  13. Twofold processing for denoising ultrasound medical images.

    Science.gov (United States)

    Kishore, P V V; Kumar, K V V; Kumar, D Anil; Prasad, M V D; Goutham, E N D; Rahul, R; Krishna, C B S Vamsi; Sandeep, Y

    2015-01-01

    Ultrasound medical (US) imaging non-invasively pictures inside of a human body for disease diagnostics. Speckle noise attacks ultrasound images degrading their visual quality. A twofold processing algorithm is proposed in this work to reduce this multiplicative speckle noise. First fold used block based thresholding, both hard (BHT) and soft (BST), on pixels in wavelet domain with 8, 16, 32 and 64 non-overlapping block sizes. This first fold process is a better denoising method for reducing speckle and also inducing object of interest blurring. The second fold process initiates to restore object boundaries and texture with adaptive wavelet fusion. The degraded object restoration in block thresholded US image is carried through wavelet coefficient fusion of object in original US mage and block thresholded US image. Fusion rules and wavelet decomposition levels are made adaptive for each block using gradient histograms with normalized differential mean (NDF) to introduce highest level of contrast between the denoised pixels and the object pixels in the resultant image. Thus the proposed twofold methods are named as adaptive NDF block fusion with hard and soft thresholding (ANBF-HT and ANBF-ST). The results indicate visual quality improvement to an interesting level with the proposed twofold processing, where the first fold removes noise and second fold restores object properties. Peak signal to noise ratio (PSNR), normalized cross correlation coefficient (NCC), edge strength (ES), image quality Index (IQI) and structural similarity index (SSIM), measure the quantitative quality of the twofold processing technique. Validation of the proposed method is done by comparing with anisotropic diffusion (AD), total variational filtering (TVF) and empirical mode decomposition (EMD) for enhancement of US images. The US images are provided by AMMA hospital radiology labs at Vijayawada, India.

  14. JIP: Java image processing on the Internet

    Science.gov (United States)

    Wang, Dongyan; Lin, Bo; Zhang, Jun

    1998-12-01

    In this paper, we present JIP - Java Image Processing on the Internet, a new Internet based application for remote education and software presentation. JIP offers an integrate learning environment on the Internet where remote users not only can share static HTML documents and lectures notes, but also can run and reuse dynamic distributed software components, without having the source code or any extra work of software compilation, installation and configuration. By implementing a platform-independent distributed computational model, local computational resources are consumed instead of the resources on a central server. As an extended Java applet, JIP allows users to selected local image files on their computers or specify any image on the Internet using an URL as input. Multimedia lectures such as streaming video/audio and digital images are integrated into JIP and intelligently associated with specific image processing functions. Watching demonstrations an practicing the functions with user-selected input data dramatically encourages leaning interest, while promoting the understanding of image processing theory. The JIP framework can be easily applied to other subjects in education or software presentation, such as digital signal processing, business, mathematics, physics, or other areas such as employee training and charged software consumption.

  15. Image exploitation and dissemination prototype of distributed image processing

    International Nuclear Information System (INIS)

    Batool, N.; Huqqani, A.A.; Mahmood, A.

    2003-05-01

    Image processing applications requirements can be best met by using the distributed environment. This report presents to draw inferences by utilizing the existed LAN resources under the distributed computing environment using Java and web technology for extensive processing to make it truly system independent. Although the environment has been tested using image processing applications, its design and architecture is truly general and modular so that it can be used for other applications as well, which require distributed processing. Images originating from server are fed to the workers along with the desired operations to be performed on them. The Server distributes the task among the Workers who carry out the required operations and send back the results. This application has been implemented using the Remote Method Invocation (RMl) feature of Java. Java RMI allows an object running in one Java Virtual Machine (JVM) to invoke methods on another JVM thus providing remote communication between programs written in the Java programming language. RMI can therefore be used to develop distributed applications [1]. We undertook this project to gain a better understanding of distributed systems concepts and its uses for resource hungry jobs. The image processing application is developed under this environment

  16. High level cognitive information processing in neural networks

    Science.gov (United States)

    Barnden, John A.; Fields, Christopher A.

    1992-01-01

    Two related research efforts were addressed: (1) high-level connectionist cognitive modeling; and (2) local neural circuit modeling. The goals of the first effort were to develop connectionist models of high-level cognitive processes such as problem solving or natural language understanding, and to understand the computational requirements of such models. The goals of the second effort were to develop biologically-realistic model of local neural circuits, and to understand the computational behavior of such models. In keeping with the nature of NASA's Innovative Research Program, all the work conducted under the grant was highly innovative. For instance, the following ideas, all summarized, are contributions to the study of connectionist/neural networks: (1) the temporal-winner-take-all, relative-position encoding, and pattern-similarity association techniques; (2) the importation of logical combinators into connection; (3) the use of analogy-based reasoning as a bridge across the gap between the traditional symbolic paradigm and the connectionist paradigm; and (4) the application of connectionism to the domain of belief representation/reasoning. The work on local neural circuit modeling also departs significantly from the work of related researchers. In particular, its concentration on low-level neural phenomena that could support high-level cognitive processing is unusual within the area of biological local circuit modeling, and also serves to expand the horizons of the artificial neural net field.

  17. Employing image processing techniques for cancer detection using microarray images.

    Science.gov (United States)

    Dehghan Khalilabad, Nastaran; Hassanpour, Hamid

    2017-02-01

    Microarray technology is a powerful genomic tool for simultaneously studying and analyzing the behavior of thousands of genes. The analysis of images obtained from this technology plays a critical role in the detection and treatment of diseases. The aim of the current study is to develop an automated system for analyzing data from microarray images in order to detect cancerous cases. The proposed system consists of three main phases, namely image processing, data mining, and the detection of the disease. The image processing phase performs operations such as refining image rotation, gridding (locating genes) and extracting raw data from images the data mining includes normalizing the extracted data and selecting the more effective genes. Finally, via the extracted data, cancerous cell is recognized. To evaluate the performance of the proposed system, microarray database is employed which includes Breast cancer, Myeloid Leukemia and Lymphomas from the Stanford Microarray Database. The results indicate that the proposed system is able to identify the type of cancer from the data set with an accuracy of 95.45%, 94.11%, and 100%, respectively. Copyright © 2017 Elsevier Ltd. All rights reserved.

  18. Document Examination: Applications of Image Processing Systems.

    Science.gov (United States)

    Kopainsky, B

    1989-12-01

    Dealing with images is a familiar business for an expert in questioned documents: microscopic, photographic, infrared, and other optical techniques generate images containing the information he or she is looking for. A recent method for extracting most of this information is digital image processing, ranging from the simple contrast and contour enhancement to the advanced restoration of blurred texts. When combined with a sophisticated physical imaging system, an image pricessing system has proven to be a powerful and fast tool for routine non-destructive scanning of suspect documents. This article reviews frequent applications, comprising techniques to increase legibility, two-dimensional spectroscopy (ink discrimination, alterations, erased entries, etc.), comparison techniques (stamps, typescript letters, photo substitution), and densitometry. Computerized comparison of handwriting is not included. Copyright © 1989 Central Police University.

  19. Traffic analysis and control using image processing

    Science.gov (United States)

    Senthilkumar, K.; Ellappan, Vijayan; Arun, A. R.

    2017-11-01

    This paper shows the work on traffic analysis and control till date. It shows an approach to regulate traffic the use of image processing and MATLAB systems. This concept uses computational images that are to be compared with original images of the street taken in order to determine the traffic level percentage and set the timing for the traffic signal accordingly which are used to reduce the traffic stoppage on traffic lights. They concept proposes to solve real life scenarios in the streets, thus enriching the traffic lights by adding image receivers like HD cameras and image processors. The input is then imported into MATLAB to be used. as a method for calculating the traffic on roads. Their results would be computed in order to adjust the traffic light timings on a particular street, and also with respect to other similar proposals but with the added value of solving a real, big instance.

  20. Fundamental concepts of digital image processing

    Energy Technology Data Exchange (ETDEWEB)

    Twogood, R.E.

    1983-03-01

    The field of a digital-image processing has experienced dramatic growth and increasingly widespread applicability in recent years. Fortunately, advances in computer technology have kept pace with the rapid growth in volume of image data in these and other applications. Digital image processing has become economical in many fields of research and in industrial and military applications. While each application has requirements unique from the others, all are concerned with faster, cheaper, more accurate, and more extensive computation. The trend is toward real-time and interactive operations, where the user of the system obtains preliminary results within a short enough time that the next decision can be made by the human processor without loss of concentration on the task at hand. An example of this is the obtaining of two-dimensional (2-D) computer-aided tomography (CAT) images. A medical decision might be made while the patient is still under observation rather than days later.

  1. Fundamental Concepts of Digital Image Processing

    Science.gov (United States)

    Twogood, R. E.

    1983-03-01

    The field of a digital-image processing has experienced dramatic growth and increasingly widespread applicability in recent years. Fortunately, advances in computer technology have kept pace with the rapid growth in volume of image data in these and other applications. Digital image processing has become economical in many fields of research and in industrial and military applications. While each application has requirements unique from the others, all are concerned with faster, cheaper, more accurate, and more extensive computation. The trend is toward real-time and interactive operations, where the user of the system obtains preliminary results within a short enough time that the next decision can be made by the human processor without loss of concentration on the task at hand. An example of this is the obtaining of two-dimensional (2-D) computer-aided tomography (CAT) images. A medical decision might be made while the patient is still under observation rather than days later.

  2. Parallel asynchronous systems and image processing algorithms

    Science.gov (United States)

    Coon, D. D.; Perera, A. G. U.

    1989-01-01

    A new hardware approach to implementation of image processing algorithms is described. The approach is based on silicon devices which would permit an independent analog processing channel to be dedicated to evey pixel. A laminar architecture consisting of a stack of planar arrays of the device would form a two-dimensional array processor with a 2-D array of inputs located directly behind a focal plane detector array. A 2-D image data stream would propagate in neuronlike asynchronous pulse coded form through the laminar processor. Such systems would integrate image acquisition and image processing. Acquisition and processing would be performed concurrently as in natural vision systems. The research is aimed at implementation of algorithms, such as the intensity dependent summation algorithm and pyramid processing structures, which are motivated by the operation of natural vision systems. Implementation of natural vision algorithms would benefit from the use of neuronlike information coding and the laminar, 2-D parallel, vision system type architecture. Besides providing a neural network framework for implementation of natural vision algorithms, a 2-D parallel approach could eliminate the serial bottleneck of conventional processing systems. Conversion to serial format would occur only after raw intensity data has been substantially processed. An interesting challenge arises from the fact that the mathematical formulation of natural vision algorithms does not specify the means of implementation, so that hardware implementation poses intriguing questions involving vision science.

  3. Cognitive processes in criminal profile construction: a preliminary study.

    Science.gov (United States)

    Kocsis, Richard N; Middledorp, Jenny; Try, Andrew C

    2005-12-01

    This study undertook an empirically based examination of the cognitive processes associated with the accurate construction of a criminal psychological profile. This was accomplished by comparing the abilities of profilers and nonprofilers in two simulated profiling exercises that measured both profile accuracy and an individual's performance on various tests of memory and comprehension related to the case materials presented in each exercise. The results of these experiments suggest that an incremental relationship exists between comprehension of the case materials and accuracy of the profiles generated. In addition, the findings provide some tentative indications that the comprehension of case material in a narrative (i.e., written) format is an integral cognitive function to proficient profiling.

  4. Evolution in Mind: Evolutionary Dynamics, Cognitive Processes, and Bayesian Inference.

    Science.gov (United States)

    Suchow, Jordan W; Bourgin, David D; Griffiths, Thomas L

    2017-07-01

    Evolutionary theory describes the dynamics of population change in settings affected by reproduction, selection, mutation, and drift. In the context of human cognition, evolutionary theory is most often invoked to explain the origins of capacities such as language, metacognition, and spatial reasoning, framing them as functional adaptations to an ancestral environment. However, evolutionary theory is useful for understanding the mind in a second way: as a mathematical framework for describing evolving populations of thoughts, ideas, and memories within a single mind. In fact, deep correspondences exist between the mathematics of evolution and of learning, with perhaps the deepest being an equivalence between certain evolutionary dynamics and Bayesian inference. This equivalence permits reinterpretation of evolutionary processes as algorithms for Bayesian inference and has relevance for understanding diverse cognitive capacities, including memory and creativity. Copyright © 2017 Elsevier Ltd. All rights reserved.

  5. Bioinformation processing a primer on computational cognitive science

    CERN Document Server

    Peterson, James K

    2016-01-01

    This book shows how mathematics, computer science and science can be usefully and seamlessly intertwined. It begins with a general model of cognitive processes in a network of computational nodes, such as neurons, using a variety of tools from mathematics, computational science and neurobiology. It then moves on to solve the diffusion model from a low-level random walk point of view. It also demonstrates how this idea can be used in a new approach to solving the cable equation, in order to better understand the neural computation approximations. It introduces specialized data for emotional content, which allows a brain model to be built using MatLab tools, and also highlights a simple model of cognitive dysfunction.

  6. Cognitive components of regularity processing in the auditory domain.

    Directory of Open Access Journals (Sweden)

    Stefan Koelsch

    Full Text Available BACKGROUND: Music-syntactic irregularities often co-occur with the processing of physical irregularities. In this study we constructed chord-sequences such that perceived differences in the cognitive processing between regular and irregular chords could not be due to the sensory processing of acoustic factors like pitch repetition or pitch commonality (the major component of 'sensory dissonance'. METHODOLOGY/PRINCIPAL FINDINGS: Two groups of subjects (musicians and nonmusicians were investigated with electroencephalography (EEG. Irregular chords elicited an early right anterior negativity (ERAN in the event-related brain potentials (ERPs. The ERAN had a latency of around 180 ms after the onset of the music-syntactically irregular chords, and had maximum amplitude values over right anterior electrode sites. CONCLUSIONS/SIGNIFICANCE: Because irregular chords were hardly detectable based on acoustical factors (such as pitch repetition and sensory dissonance, this ERAN effect reflects for the most part cognitive (not sensory components of regularity-based, music-syntactic processing. Our study represents a methodological advance compared to previous ERP-studies investigating the neural processing of music-syntactically irregular chords.

  7. Cognitive load disrupts implicit theory-of-mind processing.

    Science.gov (United States)

    Schneider, Dana; Lam, Rebecca; Bayliss, Andrew P; Dux, Paul E

    2012-08-01

    Eye movements in Sally-Anne false-belief tasks appear to reflect the ability to implicitly monitor the mental states of other individuals (theory of mind, or ToM). It has recently been proposed that an early-developing, efficient, and automatically operating ToM system subserves this ability. Surprisingly absent from the literature, however, is an empirical test of the influence of domain-general executive processing resources on this implicit ToM system. In the study reported here, a dual-task method was employed to investigate the impact of executive load on eye movements in an implicit Sally-Anne false-belief task. Under no-load conditions, adult participants displayed eye movement behavior consistent with implicit belief processing, whereas evidence for belief processing was absent for participants under cognitive load. These findings indicate that the cognitive system responsible for implicitly tracking beliefs draws at least minimally on executive processing resources. Thus, even the most low-level processing of beliefs appears to reflect a capacity-limited operation.

  8. The number processing and calculation system: evidence from cognitive neuropsychology.

    Science.gov (United States)

    Salguero-Alcañiz, M P; Alameda-Bailén, J R

    2015-04-01

    Cognitive neuropsychology focuses on the concepts of dissociation and double dissociation. The performance of number processing and calculation tasks by patients with acquired brain injury can be used to characterise the way in which the healthy cognitive system manipulates number symbols and quantities. The objective of this study is to determine the components of the numerical processing and calculation system. Participants consisted of 6 patients with acquired brain injuries in different cerebral localisations. We used Batería de evaluación del procesamiento numérico y el cálculo, a battery assessing number processing and calculation. Data was analysed using the difference in proportions test. Quantitative numerical knowledge is independent from number transcoding, qualitative numerical knowledge, and calculation. Recodification is independent from qualitative numerical knowledge and calculation. Quantitative numerical knowledge and calculation are also independent functions. The number processing and calculation system comprises at least 4 components that operate independently: quantitative numerical knowledge, number transcoding, qualitative numerical knowledge, and calculation. Therefore, each one may be damaged selectively without affecting the functioning of another. According to the main models of number processing and calculation, each component has different characteristics and cerebral localisations. Copyright © 2013 Sociedad Española de Neurología. Published by Elsevier Espana. All rights reserved.

  9. Image processing of angiograms: A pilot study

    Science.gov (United States)

    Larsen, L. E.; Evans, R. A.; Roehm, J. O., Jr.

    1974-01-01

    The technology transfer application this report describes is the result of a pilot study of image-processing methods applied to the image enhancement, coding, and analysis of arteriograms. Angiography is a subspecialty of radiology that employs the introduction of media with high X-ray absorption into arteries in order to study vessel pathology as well as to infer disease of the organs supplied by the vessel in question.

  10. PCB Fault Detection Using Image Processing

    Science.gov (United States)

    Nayak, Jithendra P. R.; Anitha, K.; Parameshachari, B. D., Dr.; Banu, Reshma, Dr.; Rashmi, P.

    2017-08-01

    The importance of the Printed Circuit Board inspection process has been magnified by requirements of the modern manufacturing environment where delivery of 100% defect free PCBs is the expectation. To meet such expectations, identifying various defects and their types becomes the first step. In this PCB inspection system the inspection algorithm mainly focuses on the defect detection using the natural images. Many practical issues like tilt of the images, bad light conditions, height at which images are taken etc. are to be considered to ensure good quality of the image which can then be used for defect detection. Printed circuit board (PCB) fabrication is a multidisciplinary process, and etching is the most critical part in the PCB manufacturing process. The main objective of Etching process is to remove the exposed unwanted copper other than the required circuit pattern. In order to minimize scrap caused by the wrongly etched PCB panel, inspection has to be done in early stage. However, all of the inspections are done after the etching process where any defective PCB found is no longer useful and is simply thrown away. Since etching process costs 0% of the entire PCB fabrication, it is uneconomical to simply discard the defective PCBs. In this paper a method to identify the defects in natural PCB images and associated practical issues are addressed using Software tools and some of the major types of single layer PCB defects are Pattern Cut, Pin hole, Pattern Short, Nick etc., Therefore the defects should be identified before the etching process so that the PCB would be reprocessed. In the present approach expected to improve the efficiency of the system in detecting the defects even in low quality images

  11. Mathematical foundations of image processing and analysis

    CERN Document Server

    Pinoli, Jean-Charles

    2014-01-01

    Mathematical Imaging is currently a rapidly growing field in applied mathematics, with an increasing need for theoretical mathematics. This book, the second of two volumes, emphasizes the role of mathematics as a rigorous basis for imaging sciences. It provides a comprehensive and convenient overview of the key mathematical concepts, notions, tools and frameworks involved in the various fields of gray-tone and binary image processing and analysis, by proposing a large, but coherent, set of symbols and notations, a complete list of subjects and a detailed bibliography. It establishes a bridg

  12. Three-dimensional image signals: processing methods

    Science.gov (United States)

    Schiopu, Paul; Manea, Adrian; Craciun, Anca-Ileana; Craciun, Alexandru

    2010-11-01

    Over the years extensive studies have been carried out to apply coherent optics methods in real-time processing, communications and transmission image. This is especially true when a large amount of information needs to be processed, e.g., in high-resolution imaging. The recent progress in data-processing networks and communication systems has considerably increased the capacity of information exchange. We describe the results of literature investigation research of processing methods for the signals of the three-dimensional images. All commercially available 3D technologies today are based on stereoscopic viewing. 3D technology was once the exclusive domain of skilled computer-graphics developers with high-end machines and software. The images capture from the advanced 3D digital camera can be displayed onto screen of the 3D digital viewer with/ without special glasses. For this is needed considerable processing power and memory to create and render the complex mix of colors, textures, and virtual lighting and perspective necessary to make figures appear three-dimensional. Also, using a standard digital camera and a technique called phase-shift interferometry we can capture "digital holograms." These are holograms that can be stored on computer and transmitted over conventional networks. We present some research methods to process "digital holograms" for the Internet transmission and results.

  13. Affective and cognitive processes and the development and maintenance of anxiety and its disorders.

    NARCIS (Netherlands)

    Prins, P.J.M.; Silverman, W.K.; Treffers, P.D.A.

    2001-01-01

    Presents a selective review of research related to cognitive hypotheses and models of childhood anxiety. The cognitive behavioral approach and the information processing approach to childhood anxiety are explored. Cognitive developmental aspects of anxiety-related cognition, the typical patterns of

  14. Authoritarianism, cognitive rigidity, and the processing of ambiguous visual information.

    Science.gov (United States)

    Duncan, Lauren E; Peterson, Bill E

    2014-01-01

    Intolerance of ambiguity and cognitive rigidity are unifying aspects of authoritarianism as defined by Adorno, Frenkel-Brunswik, Levinson, and Sanford (1982/1950), who hypothesized that authoritarians view the world in absolute terms (e.g., good or evil). Past studies have documented the relationship between authoritarianism and intolerance of ambiguity and rigidity. Frenkel-Brunswik (1949) hypothesized that this desire for absolutism was rooted in perceptual processes. We present a study with three samples that directly tests the relationship between right wing authoritarianism (RWA) and the processing of ideologically neutral but ambiguous visual stimuli. As hypothesized, in all three samples we found that RWA was related to the slower processing of visual information that required participants to recategorize objects. In a fourth sample, RWA was unrelated to speed of processing visual information that did not require recategorization. Overall, results suggest a relationship between RWA and rigidity in categorization.

  15. REMOTE SENSING IMAGE QUALITY ASSESSMENT EXPERIMENT WITH POST-PROCESSING

    Directory of Open Access Journals (Sweden)

    W. Jiang

    2018-04-01

    Full Text Available This paper briefly describes the post-processing influence assessment experiment, the experiment includes three steps: the physical simulation, image processing, and image quality assessment. The physical simulation models sampled imaging system in laboratory, the imaging system parameters are tested, the digital image serving as image processing input are produced by this imaging system with the same imaging system parameters. The gathered optical sampled images with the tested imaging parameters are processed by 3 digital image processes, including calibration pre-processing, lossy compression with different compression ratio and image post-processing with different core. Image quality assessment method used is just noticeable difference (JND subject assessment based on ISO20462, through subject assessment of the gathered and processing images, the influence of different imaging parameters and post-processing to image quality can be found. The six JND subject assessment experimental data can be validated each other. Main conclusions include: image post-processing can improve image quality; image post-processing can improve image quality even with lossy compression, image quality with higher compression ratio improves less than lower ratio; with our image post-processing method, image quality is better, when camera MTF being within a small range.

  16. Dual Systems Competence [Image Omitted] Procedural Processing: A Relational Developmental Systems Approach to Reasoning

    Science.gov (United States)

    Ricco, Robert B.; Overton, Willis F.

    2011-01-01

    Many current psychological models of reasoning minimize the role of deductive processes in human thought. In the present paper, we argue that deduction is an important part of ordinary cognition and we propose that a dual systems Competence [image omitted] Procedural processing model conceptualized within relational developmental systems theory…

  17. Localized atrophy of the thalamus and slowed cognitive processing speed in MS patients.

    Science.gov (United States)

    Bergsland, Niels; Zivadinov, Robert; Dwyer, Michael G; Weinstock-Guttman, Bianca; Benedict, Ralph Hb

    2016-09-01

    Deep gray matter (DGM) atrophy is common in multiple sclerosis (MS), but no studies have investigated surface-based structure changes over time with respect to healthy controls (HCs). Moreover, the relationship between cognition and the spatio-temporal evolution of DGM atrophy is poorly understood. To explore DGM structural differences between MS and HCs over time in relation to neuropsychological (NP) outcomes. The participants were 44 relapsing-remitting and 20 secondary progressive MS patients and 22 HCs. All were scanned using 3T magnetic resonance imaging (MRI) at baseline and 3-year follow-up. NP examination emphasized consensus standard tests of processing speed and memory. We performed both volumetric and shape analysis of DGM structures and assessed their relationships with cognition. Compared to HCs, MS patients presented with significantly smaller DGM volumes. For the thalamus and caudate, differences in shape were mostly localized along the lateral ventricles. NP outcomes were related to both volume and shape of the DGM structures. Over 3 years, decreased cognitive processing speed was related to localized atrophy on the anterior and superior surface of the left thalamus. These findings highlight the role of atrophy in the anterior nucleus of the thalamus and its relation to cognitive decline in MS. © The Author(s), 2015.

  18. Practical image and video processing using MATLAB

    CERN Document Server

    Marques, Oge

    2011-01-01

    "The book provides a practical introduction to the most important topics in image and video processing using MATLAB (and its Image Processing Toolbox) as a tool to demonstrate the most important techniques and algorithms. The contents are presented in a clear, technically accurate, objective way, with just enough mathematical detail. Most of the chapters are supported by figures, examples, illustrative problems, MATLAB scripts, suggestions for further reading, bibliographical references, useful Web sites, and exercises and computer projects to extend the understanding of their contents"--

  19. Penn State astronomical image processing system

    International Nuclear Information System (INIS)

    Truax, R.J.; Nousek, J.A.; Feigelson, E.D.; Lonsdale, C.J.

    1987-01-01

    The needs of modern astronomy for image processing set demanding standards in simultaneously requiring fast computation speed, high-quality graphic display, large data storage, and interactive response. An innovative image processing system was designed, integrated, and used; it is based on a supermicro architecture which is tailored specifically for astronomy, which provides a highly cost-effective alternative to the traditional minicomputer installation. The paper describes the design rationale, equipment selection, and software developed to allow other astronomers with similar needs to benefit from the present experience. 9 references

  20. Chronic Effects of Boxing: Diffusion Tensor Imaging and Cognitive Findings.

    Science.gov (United States)

    Wilde, Elisabeth A; Hunter, Jill V; Li, Xiaoqi; Amador, Cristian; Hanten, Gerri; Newsome, Mary R; Wu, Trevor C; McCauley, Stephen R; Vogt, Gregory S; Chu, Zili David; Biekman, Brian; Levin, Harvey S

    2016-04-01

    We used magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI) to evaluate the effects of boxing on brain structure and cognition in 10 boxers (8 retired, 2 active; mean age = 45.7 years; standard deviation [SD] = 9.71) and 9 participants (mean age = 43.44; SD = 9.11) in noncombative sports. Evans Index (maximum width of the anterior horns of the lateral ventricles/maximal width of the internal diameter of the skull) was significantly larger in the boxers (F = 4.52; p = 0.050; Cohen's f = 0.531). Word list recall was impaired in the boxers (F(1,14) = 10.70; p = 0.006; f = 0.84), whereas implicit memory measured by faster reaction time (RT) to a repeating sequence of numbers than to a random sequence was preserved (t = 2.52; p boxing had the most consistent, negative correlations with FA, ranging from -0.65 for the right ventral striatum to -0.92 for the right cerebral peduncle. Years of boxing was negatively related to the number of words consistently recalled over trials (r = -0.74; p = 0.02), delayed recall (r = -0.83; p = 0.003), and serial RT (r = 0.66; p = 0.05). We conclude that microstructural integrity of white matter tracts is related to declarative memory and response speed in boxers and to the extent of boxing exposure. Implications for chronic traumatic encephalopathy are discussed.

  1. White matter correlates of cognitive domains in normal aging with diffusion tensor imaging

    Directory of Open Access Journals (Sweden)

    Efrat eSasson

    2013-03-01

    Full Text Available The ability to perform complex as well as simple cognitive tasks engages a network of brain regions that is mediated by the white matter fiber bundles connecting them. Different cognitive tasks employ distinctive white matter fiber bundles. The temporal lobe and its projections subserve a variety of key functions known to deteriorate during aging. In a cohort of 52 healthy subjects (ages 25-82 years, we performed voxel-wise regression analysis correlating performance in higher-order cognitive domains (executive function, information processing speed, and memory with white matter integrity, as measured by diffusion tensor imaging (DTI fiber tracking in the temporal lobe projections (uncinate fasciculus (UF, fornix, cingulum, inferior longitudinal fasciculus (ILF, and superior longitudinal fasciculus (SLF. The fiber tracts were spatially registered and statistical parametric maps were produced to spatially localize the significant correlations. Results showed that performance in the executive function domain is correlated with DTI parameters in the left SLF and right UF; performance in the information processing speed domain is correlated with fractional anisotropy (FA in the left cingulum, left fornix, right and left ILF and SLF; and the memory domain shows significant correlations with DTI parameters in the right fornix, right cingulum, left ILF, left SLF and right UF. These findings suggest that DTI tractography enables anatomical definition of region of interest for correlation of behavioral parameters with diffusion indices, and functionality can be correlated with white matter integrity.

  2. Comparing the Cognitive Process of Circular Causality in Two Patients with Strokes through Qualitative Analysis.

    Science.gov (United States)

    Derakhshanrad, Seyed Alireza; Piven, Emily; Ghoochani, Bahareh Zeynalzadeh

    2017-10-01

    Walter J. Freeman pioneered the neurodynamic model of brain activity when he described the brain dynamics for cognitive information transfer as the process of circular causality at intention, meaning, and perception (IMP) levels. This view contributed substantially to establishment of the Intention, Meaning, and Perception Model of Neuro-occupation in occupational therapy. As described by the model, IMP levels are three components of the brain dynamics system, with nonlinear connections that enable cognitive function to be processed in a circular causality fashion, known as Cognitive Process of Circular Causality (CPCC). Although considerable research has been devoted to study the brain dynamics by sophisticated computerized imaging techniques, less attention has been paid to study it through investigating the adaptation process of thoughts and behaviors. To explore how CPCC manifested thinking and behavioral patterns, a qualitative case study was conducted on two matched female participants with strokes, who were of comparable ages, affected sides, and other characteristics, except for their resilience and motivational behaviors. CPCC was compared by matrix analysis between two participants, using content analysis with pre-determined categories. Different patterns of thinking and behavior may have happened, due to disparate regulation of CPCC between two participants.

  3. Image processing of early gastric cancer cases

    International Nuclear Information System (INIS)

    Inamoto, Kazuo; Umeda, Tokuo; Inamura, Kiyonari

    1992-01-01

    Computer image processing was used to enhance gastric lesions in order to improve the detection of stomach cancer. Digitization was performed in 25 cases of early gastric cancer that had been confirmed surgically and pathologically. The image processing consisted of grey scale transformation, edge enhancement (Sobel operator), and high-pass filtering (unsharp masking). Grey scale transformation improved image quality for the detection of gastric lesions. The Sobel operator enhanced linear and curved margins, and consequently, suppressed the rest. High-pass filtering with unsharp masking was superior to visualization of the texture pattern on the mucosa. Eight of 10 small lesions (less than 2.0 cm) were successfully demonstrated. However, the detection of two lesions in the antrum, was difficult even with the aid of image enhancement. In the other 15 lesions (more than 2.0 cm), the tumor surface pattern and margin between the tumor and non-pathological mucosa were clearly visualized. Image processing was considered to contribute to the detection of small early gastric cancer lesions by enhancing the pathological lesions. (author)

  4. Flame analysis using image processing techniques

    Science.gov (United States)

    Her Jie, Albert Chang; Zamli, Ahmad Faizal Ahmad; Zulazlan Shah Zulkifli, Ahmad; Yee, Joanne Lim Mun; Lim, Mooktzeng

    2018-04-01

    This paper presents image processing techniques with the use of fuzzy logic and neural network approach to perform flame analysis. Flame diagnostic is important in the industry to extract relevant information from flame images. Experiment test is carried out in a model industrial burner with different flow rates. Flame features such as luminous and spectral parameters are extracted using image processing and Fast Fourier Transform (FFT). Flame images are acquired using FLIR infrared camera. Non-linearities such as thermal acoustic oscillations and background noise affect the stability of flame. Flame velocity is one of the important characteristics that determines stability of flame. In this paper, an image processing method is proposed to determine flame velocity. Power spectral density (PSD) graph is a good tool for vibration analysis where flame stability can be approximated. However, a more intelligent diagnostic system is needed to automatically determine flame stability. In this paper, flame features of different flow rates are compared and analyzed. The selected flame features are used as inputs to the proposed fuzzy inference system to determine flame stability. Neural network is used to test the performance of the fuzzy inference system.

  5. The neural bases of cognitive processes in gambling disorder.

    Science.gov (United States)

    Potenza, Marc N

    2014-08-01

    Functional imaging is offering powerful new tools to investigate the neurobiology of cognitive functioning in people with and without psychiatric conditions like gambling disorder. Based on similarities between gambling and substance-use disorders in neurocognitive and other domains, gambling disorder has recently been classified in the Diagnostic and Statistical Manual of Mental Disorders (5th edn) (DSM-5) as a behavioral addiction. Despite the advances in understanding, there exist multiple unanswered questions about the pathophysiology underlying gambling disorder and the promise for translating the neurobiological understanding into treatment advances remains largely unrealized. Here we review the neurocognitive underpinnings of gambling disorder with a view to improving prevention, treatment, and policy efforts. Copyright © 2014 Elsevier Ltd. All rights reserved.

  6. [Chang of cognitions and feelings during the process of procrastination].

    Science.gov (United States)

    Kohama, Shun

    2010-10-01

    This study investigated change of cognitions and feelings before, during, and after the process of procrastination. A questionnaire was administered to 358 undergraduate students asking them to recall and rate their experience of procrastinating. The results revealed that negative feelings which take place during procrastination interfere with task performance. Planning before procrastination is associated with positive feelings after procrastination, and these positive feelings assist task performance. Optimistic thinking is positively related to both positive and negative feelings; the former take place during procrastination, and the latter take place after procrastination.

  7. Image processing of integrated video image obtained with a charged-particle imaging video monitor system

    International Nuclear Information System (INIS)

    Iida, Takao; Nakajima, Takehiro

    1988-01-01

    A new type of charged-particle imaging video monitor system was constructed for video imaging of the distributions of alpha-emitting and low-energy beta-emitting nuclides. The system can display not only the scintillation image due to radiation on the video monitor but also the integrated video image becoming gradually clearer on another video monitor. The distortion of the image is about 5% and the spatial resolution is about 2 line pairs (lp)mm -1 . The integrated image is transferred to a personal computer and image processing is performed qualitatively and quantitatively. (author)

  8. Intensity-dependent point spread image processing

    International Nuclear Information System (INIS)

    Cornsweet, T.N.; Yellott, J.I.

    1984-01-01

    There is ample anatomical, physiological and psychophysical evidence that the mammilian retina contains networks that mediate interactions among neighboring receptors, resulting in intersecting transformations between input images and their corresponding neural output patterns. The almost universally accepted view is that the principal form of interaction involves lateral inhibition, resulting in an output pattern that is the convolution of the input with a ''Mexican hat'' or difference-of-Gaussians spread function, having a positive center and a negative surround. A closely related process is widely applied in digital image processing, and in photography as ''unsharp masking''. The authors show that a simple and fundamentally different process, involving no inhibitory or subtractive terms can also account for the physiological and psychophysical findings that have been attributed to lateral inhibition. This process also results in a number of fundamental effects that occur in mammalian vision and that would be of considerable significance in robotic vision, but which cannot be explained by lateral inhibitory interaction

  9. Image processing in radiology. Current applications

    International Nuclear Information System (INIS)

    Neri, E.; Caramella, D.; Bartolozzi, C.

    2008-01-01

    Few fields have witnessed such impressive advances as image processing in radiology. The progress achieved has revolutionized diagnosis and greatly facilitated treatment selection and accurate planning of procedures. This book, written by leading experts from many countries, provides a comprehensive and up-to-date description of how to use 2D and 3D processing tools in clinical radiology. The first section covers a wide range of technical aspects in an informative way. This is followed by the main section, in which the principal clinical applications are described and discussed in depth. To complete the picture, a third section focuses on various special topics. The book will be invaluable to radiologists of any subspecialty who work with CT and MRI and would like to exploit the advantages of image processing techniques. It also addresses the needs of radiographers who cooperate with clinical radiologists and should improve their ability to generate the appropriate 2D and 3D processing. (orig.)

  10. Emotion and persuasion: cognitive and meta-cognitive processes impact attitudes.

    Science.gov (United States)

    Petty, Richard E; Briñol, Pablo

    2015-01-01

    This article addresses the multiple ways in which emotions can influence attitudes and persuasion via primary and secondary (meta-) cognition. Using the elaboration likelihood model of persuasion as a guide, we review evidence for five fundamental processes that occur at different points along the elaboration continuum. When the extent of thinking is constrained to be low, emotions influence attitudes by relatively simple processes that lead them to change in a manner consistent with the valence of the emotion. When thinking is constrained to be high, emotions can serve as arguments in favour of a proposal if they are relevant to the merits of the advocacy or they can bias thinking if the emotion precedes the message. If thinking is high and emotions become salient after thinking, they can lead people to rely or not rely on the thoughts generated either because the emotion leads people to like or dislike their thoughts (affective validation) or feel more confident or doubtful in their thoughts (cognitive validation). When thinking is unconstrained, emotions influence the extent of thinking about the persuasive communication. Although prior theories have addressed one or more of these fundamental processes, no other approach has integrated them into one framework.

  11. Post-processing of digital images.

    Science.gov (United States)

    Perrone, Luca; Politi, Marco; Foschi, Raffaella; Masini, Valentina; Reale, Francesca; Costantini, Alessandro Maria; Marano, Pasquale

    2003-01-01

    Post-processing of bi- and three-dimensional images plays a major role for clinicians and surgeons in both diagnosis and therapy. The new spiral (single and multislice) CT and MRI machines have allowed better quality of images. With the associated development of hardware and software, post-processing has become indispensable in many radiologic applications in order to address precise clinical questions. In particular, in CT the acquisition technique is fundamental and should be targeted and optimized to obtain good image reconstruction. Multiplanar reconstructions ensure simple, immediate display of sections along different planes. Three-dimensional reconstructions include numerous procedures: multiplanar techniques as maximum intensity projections (MIP); surface rendering techniques as the Shaded Surface Display (SSD); volume techniques as the Volume Rendering Technique; techniques of virtual endoscopy. In surgery computer-aided techniques as the neuronavigator, which with information provided by neuroimaging helps the neurosurgeon in simulating and performing the operation, are extremely interesting.

  12. Speckle pattern processing by digital image correlation

    Directory of Open Access Journals (Sweden)

    Gubarev Fedor

    2016-01-01

    Full Text Available Testing the method of speckle pattern processing based on the digital image correlation is carried out in the current work. Three the most widely used formulas of the correlation coefficient are tested. To determine the accuracy of the speckle pattern processing, test speckle patterns with known displacement are used. The optimal size of a speckle pattern template used for determination of correlation and corresponding the speckle pattern displacement is also considered in the work.

  13. Digital image processing in neutron radiography

    International Nuclear Information System (INIS)

    Koerner, S.

    2000-11-01

    Neutron radiography is a method for the visualization of the macroscopic inner-structure and material distributions of various samples. The basic experimental arrangement consists of a neutron source, a collimator functioning as beam formatting assembly and of a plane position sensitive integrating detector. The object is placed between the collimator exit and the detector, which records a two dimensional image. This image contains information about the composition and structure of the sample-interior, as a result of the interaction of neutrons by penetrating matter. Due to rapid developments of detector and computer technology as well as deployments in the field of digital image processing, new technologies are nowadays available which have the potential to improve the performance of neutron radiographic investigations enormously. Therefore, the aim of this work was to develop a state-of-the art digital imaging device, suitable for the two neutron radiography stations located at the 250 kW TRIGA Mark II reactor at the Atominstitut der Oesterreichischen Universitaeten and furthermore, to identify and develop two and three dimensional digital image processing methods suitable for neutron radiographic and tomographic applications, and to implement and optimize them within data processing strategies. The first step was the development of a new imaging device fulfilling the requirements of a high reproducibility, easy handling, high spatial resolution, a large dynamic range, high efficiency and a good linearity. The detector output should be inherently digitized. The key components of the detector system selected on the basis of these requirements consist of a neutron sensitive scintillator screen, a CCD-camera and a mirror to reflect the light emitted by the scintillator to the CCD-camera. This detector design enables to place the camera out of the direct neutron beam. The whole assembly is placed in a light shielded aluminum box. The camera is controlled by a

  14. Digital image processing in neutron radiography

    International Nuclear Information System (INIS)

    Koerner, S.

    2000-11-01

    Neutron radiography is a method for the visualization of the macroscopic inner-structure and material distributions of various materials. The basic experimental arrangement consists of a neutron source, a collimator functioning as beam formatting assembly and of a plane position sensitive integrating detector. The object is placed between the collimator exit and the detector, which records a two dimensional image. This image contains information about the composition and structure of the sample-interior, as a result of the interaction of neutrons by penetrating matter. Due to rapid developments of detector and computer technology as well as deployments in the field of digital image processing, new technologies are nowadays available which have the potential to improve the performance of neutron radiographic investigations enormously. Therefore, the aim of this work was to develop a state-of-the art digital imaging device, suitable for the two neutron radiography stations located at the 250 kW TRIGA Mark II reactor at the Atominstitut der Oesterreichischen Universitaeten and furthermore, to identify and develop two and three dimensional digital image processing methods suitable for neutron radiographic and tomographic applications, and to implement and optimize them within data processing strategies. The first step was the development of a new imaging device fulfilling the requirements of a high reproducibility, easy handling, high spatial resolution, a large dynamic range, high efficiency and a good linearity. The detector output should be inherently digitized. The key components of the detector system selected on the basis of these requirements consist of a neutron sensitive scintillator screen, a CCD-camera and a mirror to reflect the light emitted by the scintillator to the CCD-camera. This detector design enables to place the camera out of the direct neutron beam. The whole assembly is placed in a light shielded aluminum box. The camera is controlled by a

  15. Optimisation in signal and image processing

    CERN Document Server

    Siarry, Patrick

    2010-01-01

    This book describes the optimization methods most commonly encountered in signal and image processing: artificial evolution and Parisian approach; wavelets and fractals; information criteria; training and quadratic programming; Bayesian formalism; probabilistic modeling; Markovian approach; hidden Markov models; and metaheuristics (genetic algorithms, ant colony algorithms, cross-entropy, particle swarm optimization, estimation of distribution algorithms, and artificial immune systems).

  16. Process for making lyophilized radiographic imaging kit

    International Nuclear Information System (INIS)

    Grogg, T.W.; Bates, P.E.; Bugaj, J.E.

    1985-01-01

    A process for making a lyophilized composition useful for skeletal imaging whereby an aqueous solution containing an ascorbate, gentisate, or reductate stabilizer is contacted with tin metal or an alloy containing tin and, thereafter, lyophilized. Preferably, such compositions also comprise a tissue-specific carrier and a stannous compound. It is particularly preferred to incorporate stannous oxide as a coating on the tin metal

  17. Limiting liability via high resolution image processing

    Energy Technology Data Exchange (ETDEWEB)

    Greenwade, L.E.; Overlin, T.K.

    1996-12-31

    The utilization of high resolution image processing allows forensic analysts and visualization scientists to assist detectives by enhancing field photographs, and by providing the tools and training to increase the quality and usability of field photos. Through the use of digitized photographs and computerized enhancement software, field evidence can be obtained and processed as `evidence ready`, even in poor lighting and shadowed conditions or darkened rooms. These images, which are most often unusable when taken with standard camera equipment, can be shot in the worst of photographic condition and be processed as usable evidence. Visualization scientists have taken the use of digital photographic image processing and moved the process of crime scene photos into the technology age. The use of high resolution technology will assist law enforcement in making better use of crime scene photography and positive identification of prints. Valuable court room and investigation time can be saved and better served by this accurate, performance based process. Inconclusive evidence does not lead to convictions. Enhancement of the photographic capability helps solve one major problem with crime scene photos, that if taken with standard equipment and without the benefit of enhancement software would be inconclusive, thus allowing guilty parties to be set free due to lack of evidence.

  18. Image processing analysis of traditional Gestalt vision experiments

    Science.gov (United States)

    McCann, John J.

    2002-06-01

    In the late 19th century, the Gestalt Psychology rebelled against the popular new science of Psychophysics. The Gestalt revolution used many fascinating visual examples to illustrate that the whole is greater than the sum of all the parts. Color constancy was an important example. The physical interpretation of sensations and their quantification by JNDs and Weber fractions were met with innumerable examples in which two 'identical' physical stimuli did not look the same. The fact that large changes in the color of the illumination failed to change color appearance in real scenes demanded something more than quantifying the psychophysical response of a single pixel. The debates continues today with proponents of both physical, pixel-based colorimetry and perceptual, image- based cognitive interpretations. Modern instrumentation has made colorimetric pixel measurement universal. As well, new examples of unconscious inference continue to be reported in the literature. Image processing provides a new way of analyzing familiar Gestalt displays. Since the pioneering experiments by Fergus Campbell and Land, we know that human vision has independent spatial channels and independent color channels. Color matching data from color constancy experiments agrees with spatial comparison analysis. In this analysis, simple spatial processes can explain the different appearances of 'identical' stimuli by analyzing the multiresolution spatial properties of their surrounds. Benary's Cross, White's Effect, the Checkerboard Illusion and the Dungeon Illusion can all be understood by the analysis of their low-spatial-frequency components. Just as with color constancy, these Gestalt images are most simply described by the analysis of spatial components. Simple spatial mechanisms account for the appearance of 'identical' stimuli in complex scenes. It does not require complex, cognitive processes to calculate appearances in familiar Gestalt experiments.

  19. Examining Cognitive Processes and Drinking Urge in PTSD

    Science.gov (United States)

    Bachrach, Rachel L.; Wardell, Jeffrey D.; Coffey, Scott F.

    2018-01-01

    Despite their centrality to learning theories, strikingly little attention has been paid to the role of cognitions in efforts to understand associations between posttraumatic stress disorder (PTSD) and alcohol drinking. In the present study, we sought to examine information processing pathways for trauma and alcohol information, and the effects of posttraumatic stress and trauma cue exposure on these pathways. Participants were college students (N = 232; 49% female; Mage = 19.56,SD = 1.44) categorized into three diagnostic groups based on current PTSD status determined by structured clinical interview. These students then were exposed to a personalized trauma or neutral cue script, followed by a Stroop task modified to include trauma, alcohol, and contrast words. Indices of mood and urge to drink alcohol were administered throughout the task. Findings revealed that those with PTSD who were exposed to the personalized trauma cue showed a general response slowing across all stimuli types on the Stroop task. Intriguingly, this slowing effect was significantly associated with urge to drink alcohol for only those PTSD participants who were exposed to the trauma cues. In contrast, we did not find support for the hypothesis that trauma cues would lead to attention bias to trauma and alcohol specific Stroop stimuli among participants with PTSD, nor did slower RT for specific word types predict unique variance in urge to drink alcohol. Findings suggest that individual (PTSD) and environmental (cue) circumstances may work conjointly to precipitate changes in cognitive processing - changes that may have implications for drinking motivation. Given the importance of cognition in the etiology of both PTSD and drinking, this is a mechanism that warrants further investigation. PMID:28073047

  20. Study of functional brain imaging for bilingual language cognition

    International Nuclear Information System (INIS)

    Sun Da

    2008-01-01

    Bilingual and multilingual brain studies of language recognition is an interdisciplinary subject which needs to identify different levels involved in the neural representation of languages, such as neuroanatomical, neurofunctional, biochemical, psychological and linguistic levels. Furthermore, specific factor's such as age, manner of acquisition and environmental factors seem to affect the neural representation. Functional brain imaging, such as PET, SPECT and functional MRI can explore the neurolinguistics representation of bilingualism in the brain in subjects, and elucidate the neuronal mechanisms of bilingual language processing. Functional imaging methods show differences in the pattern of cerebral activation associated with a second language compared with the subject's native language. It shows that verbal memory processing in two unrelated languages is mediated by a common neural system with some distinct cortical areas. The different patterns of activation differ according to the language used. It also could be ascribed either to age of acquisition or to proficiency level. And attained proficiency is more important than age of acquisition as a determinant of the cortical representation of the second language. The study used PET and SPECT shows that sign and spoken language seem to be localized in the same brain areas, and elicit similar regional cerebral blood flow patterns. But for sign language perception, the functional anatomy overlaps that of language processing contain both auditory and visual components. And the sign language is dependent on spatial information too. (authors)

  1. Image processing in digital chest radiography

    International Nuclear Information System (INIS)

    Manninen, H.; Partanen, K.; Lehtovirta, J.; Matsi, P.; Soimakallio, S.

    1992-01-01

    The usefulness of digital image processing of chest radiographs was evaluated in a clinical study. In 54 patients, chest radiographs in the posteroanterior projection were obtained by both 14 inch digital image intensifier equipment and the conventional screen-film technique. The digital radiographs (512x512 image format) viewed on a 625 line monitor were processed in 3 different ways: 1.standard display; 2.digital edge enhancement for the standard display; 3.inverse intensity display. The radiographs were interpreted independently by 3 radiologists. Diagnoses were confirmed by CT, follow-up radiographs and clinical records. Chest abnormalities of the films analyzed included 21 primary lung tumors, 44 pulmonary nodules, 16 cases with mediastinal disease, 17 with pneumonia /atelectasis. Interstitial lung disease, pleural plaques, and pulmonary emphysema were found in 30, 18 and 19 cases respectively. Sensitivity of conventional radiography when averaged overall findings was better than that of digital techniques (P<0.001). Differences in diagnostic accuracy measured by sensitivity and specificity between the 3 digital display modes were small. Standard image display showed better sensitivity for pulmonary nodules (0.74 vs 0.66; P<0.05) but poorer specificity for pulmonary emphysema (0.85 vs 0.93; P<0.05) compared with inverse intensity display. It is concluded that when using 512x512 image format, the routine use of digital edge enhancement and tone reversal at digital chest radiographs is not warranted. (author). 12 refs.; 4 figs.; 2 tabs

  2. Processing Infrared Images For Fire Management Applications

    Science.gov (United States)

    Warren, John R.; Pratt, William K.

    1981-12-01

    The USDA Forest Service has used airborne infrared systems for forest fire detection and mapping for many years. The transfer of the images from plane to ground and the transposition of fire spots and perimeters to maps has been performed manually. A new system has been developed which uses digital image processing, transmission, and storage. Interactive graphics, high resolution color display, calculations, and computer model compatibility are featured in the system. Images are acquired by an IR line scanner and converted to 1024 x 1024 x 8 bit frames for transmission to the ground at a 1.544 M bit rate over a 14.7 GHZ carrier. Individual frames are received and stored, then transferred to a solid state memory to refresh the display at a conventional 30 frames per second rate. Line length and area calculations, false color assignment, X-Y scaling, and image enhancement are available. Fire spread can be calculated for display and fire perimeters plotted on maps. The performance requirements, basic system, and image processing will be described.

  3. Fast image processing on parallel hardware

    International Nuclear Information System (INIS)

    Bittner, U.

    1988-01-01

    Current digital imaging modalities in the medical field incorporate parallel hardware which is heavily used in the stage of image formation like the CT/MR image reconstruction or in the DSA real time subtraction. In order to image post-processing as efficient as image acquisition, new software approaches have to be found which take full advantage of the parallel hardware architecture. This paper describes the implementation of two-dimensional median filter which can serve as an example for the development of such an algorithm. The algorithm is analyzed by viewing it as a complete parallel sort of the k pixel values in the chosen window which leads to a generalization to rank order operators and other closely related filters reported in literature. A section about the theoretical base of the algorithm gives hints for how to characterize operations suitable for implementations on pipeline processors and the way to find the appropriate algorithms. Finally some results that computation time and usefulness of medial filtering in radiographic imaging are given

  4. [Digital thoracic radiology: devices, image processing, limits].

    Science.gov (United States)

    Frija, J; de Géry, S; Lallouet, F; Guermazi, A; Zagdanski, A M; De Kerviler, E

    2001-09-01

    In a first part, the different techniques of digital thoracic radiography are described. Since computed radiography with phosphore plates are the most commercialized it is more emphasized. But the other detectors are also described, as the drum coated with selenium and the direct digital radiography with selenium detectors. The other detectors are also studied in particular indirect flat panels detectors and the system with four high resolution CCD cameras. In a second step the most important image processing are discussed: the gradation curves, the unsharp mask processing, the system MUSICA, the dynamic range compression or reduction, the soustraction with dual energy. In the last part the advantages and the drawbacks of computed thoracic radiography are emphasized. The most important are the almost constant good quality of the pictures and the possibilities of image processing.

  5. Image schemas and mimetic schemas in cognitive linguistics and gesture studies

    NARCIS (Netherlands)

    Cienki, A.J.

    2013-01-01

    Image schemas have been a fundamental construct in cognitive linguistics, providing grounds for psychological, philosophical, as well as linguistic research. Given the focus in cognitive linguistics on embodied experience as a fundamental basis for language structure and meaning, the employment of

  6. Conversion Discriminative Analysis on Mild Cognitive Impairment Using Multiple Cortical Features from MR Images

    NARCIS (Netherlands)

    Guo, Shengwen; Lai, Chunren; Wu, Congling; Cen, Guiyin; Hariharan, A.; Vijayakumari, Anupa A.; Aarabi, Mohammad Hadi; Aballi, John; Nour, Abd Elazeim Abd Alla Mohamed; Abdelaziz, Mohammed; Abdolalizadeh, AmirHussein; Abdollahi, Mahsa; Abdul Aziz, Siti Aishah; Salam, Amritha Abdul; Abdulaziz, Nidhal; Abdulkadir, Ahmed; Abdullah, Sachal; Abdullah, Osama; Abrigo, Jill; Adachi, Noriaki; Adamson, Christopher; Adduru, Viraj; Adel, Tameem; Aderghal, Karim; Ades-Aron, Benjamin; Adeyosoye, Michael; Adlard, Paul; Srinivasa, Ag; Aganj, Iman; Agarwal, Ayush; Agarwal, Anupam; Agarwal, Anchit; Aguero, Cinthya; Aguiar, Pablo; Ahdidan, Jamila; Ahmad, Fayyaz; Ahmad, Rziwan; Ahmadi, Hessam; Ahmed, Nisar; Sid, Farid Ahmed; Ai, Edward; Ai, Qing; Aicha, Benyahia; Aitharaju, Sai; Aiyer, Aditya; Akkus, Zeynettin; Akodad, Sanae; Akramifard, Hamid; Aksman, Leon; Aktas, Said; Al-Janabi, Omar; Al-Nuaimi, Ali; AlAila, BahaaEddin; Alakwaa, Fadhl; Alam, Saruar; Alam, Fakhre; Alam Zaidi, Syed Farhan; Alan, Wiener; Alansari, Mukhtar; Alareqi, Ebrahim; Alberdi, Ane; Albsoul, Mohammad; Alderson, Thomas; Aleem, Hassan; Alex, Aishwarya; Alexander, Jacob; Alexopoulos, Panagiotis; Alfoldi, Jessica; Ali, Ayesha; Ali, Imdad; Alimoradian, Shirin; Aljabar, Paul; Aljabbouli, Hasan; Aljovic, Almir; Allen, Genevera; Alliende, Luz Maria; Almaguel, Frankis; Almgren, Hannes; Montes, Carmen Alonso; Alowaisheq, Tasneem; Alryalat, Saif Aldeen; Alsado, Majd; Alsaedi, Abdalrahman; Alshehri, Haifa; Altaf, Tooba; Altendahl, Marie; Altmann, Andre; Alvand, Ashkan; Filho, Manoel Alves; Alzubi, Raid; Amaral, Robert; Ambatipudi, Mythri; Amernath, Remya; Amlien, Inge; Amoroso, Nicola; Amri, Hakima; Anastasiou, Athanasios; Anbarasi, Jani; Anbarjafari, Gholamreza; Anderson, Wes; Anderson, Jeff; Anderson, Valerie; Anderson, Loretta; Andonov, Jovan; Andova, Vesna; Andreopoulou, Irene; Andrews, K. Abigail; Andrews, Cameron; Angeles, Michel; Anne-Laure, Aziz; Ansari, Ghulam Jillani; Ansari, Sharaf; Anstey, Kaarin; Antunes, Augusto; Aoshuang, Zhang; Aouf, Mazin; Aow Yong, Li Yew; Aporntewan, Chatchawit; Apostolova, Liana; Appiah, Frank; Apsvalka, Dace; Arab, Abazar; Araque Caballero, Miguel Ángel; Arbabyazd, Mohammad; Arbelaez, Pablo; Archer, Kellie; Ardekani, Babak; Aretouli, Eleni; Arfanakis, Konstantinos; Arisi, Ivan; Armentrout, Steven; Arnold, Matthias; Arnold, Steven; Arslan, Salim; Artacho-Perula, Emilio; Arthofer, Christoph; Aruchamy, Srinivasan; Arya, Zobair; Pizarro, Carlos Asensio; Ashford, Wes; Ashraf, Azhaar; Askland, Kathleen; Aslaksen, Per; Aslakson, Eric; Aso, Toshihiko; Astphan, Michele; Ataloglou, Dimitrios; Atay, Meltem; Athanas, Argus; Atri, Roozbeh; Au, April; Aurich, Maike; Avants, Brian; Awasthi, Niharika; Awate, Suyash; Ayaz, Aymen; Son, Yesim Aydin; Aydogan, Dogu Baran; Ayhan, Murat; Ayton, Scott; Aziz, Adel; Azmi, Mohd Hafrizal; Ba, Maowen; Bach, Kevin; Badea, Alexandra; Bag, Asim; Bagewadi, Shweta; Bai, Xiangqi; Bai, Zilong; Bai, Haoli; Baird, Geoffrey; Baiwen, Zhang; Baker, Elizabeth; Baker, John; Bakker, Arnold; Ball, Erika; Ballén Galindo, Miguel Ángel; Banaei, Amin; Bandyopadhyay, Dipankar; Bang, Ki Hun; Bangen, Katherine; Banks, Sarah; Banning, Leonie; Bao, Wan Yun; Barakat, Rita; Barbará, Eduardo; Barber, Philip; Barber, Robert; de Araujo, Flavia Roberta Barbosa; Barnes, Josephine; Barredo, Jennifer; Barret, Olivier; Barrett, Matthew; Barsamian, Barsam; Barsky, Andrey; Bartel, Fabian; Bartoszewicz, Jakub; Bartram-Shaw, David; Barwood, Caroline; Basavaraj, Suryakanth; Basavaraj, Arshitha; Basiouny, Ahmed; Baskaran, Bhuvaneshwari; Basu, Arindam; Baths, Veeky; Bathula, Deepti; Batmanghelich, Nematollah Kayhan; Bauer, Roman; Bauer, Corinna; Bawa, Vanshika; Bayley, Peter; Bayram, Ali; Bazi, Yakoub; Beach, Thomas; Beaudoin, Kristin; Beaulieu, Christian; Becker, Cassiano; Beckett, Laurel; Bedding, Alun; Beer, Simone; Beer, Joanne; Beg, Mirza Faisal; Behfar, Qumars; Behjat, Hamed; Behjat, Hamid; Behseta, Sam; Bekris, Lynn; Suresh, Mahanand Belathur; Belichenko, Nadia; Bellio, Maura; Belyaev, Mikhail; Bemiller, Shane; Ahmed, Olfa Ben; Ben Bouallègue, Fayçal; Benedikt, Michael; Benge, Jared; Benitez, Andreana; Benlloch, Jose María; Benn, Marianne; Benyoussef, El Mehdi; Bergeron, David; Bermudez, Elaine; Bessadok, Alaa; Betzel, Richard; Bezuidenhoudt, Mauritz; Bhagwat, Nikhil; Bhalerao, Shailesh; Bhandari, Anindya; Bhasin, Harsh; Bhati, Radhika; Bhatkoti, Pushkar; Bhatt, Priya; Bhattacharjee, Debotosh; Bhattacharyya, Sudeepa; Bi, Rui; Bi, Jinbo; Bi, Harvy; Biancardi, Alberto; Bidart, Rene; Bilgel, Murat; Billiet, Thibo; Binczyk, Franciszek; Bingsheng, Huang; Bird, Christopher; Bischof, Gérard; Bishnoi, Ram; Biswas, Shameek; Bjelke, David; Black, Sandra; Blackwood, Jennifer; Blaese, Elise; Blair, James; Blanchard, Gilles; Bloom, Toby; Blujus, Jenna; Blusztajn, Jan Krzysztof; Bo, Wu; Bo, Jun; Boda, Ravi; Boellaard, Ronald; Bogorodzki, Piotr; Bokde, Arun; Bolhasani, Ehsan; Bonakdarpour, Borna; Bonazzoli, Matthew; Bône, Alexandre; Borkowsky, Jennifer; Borrajo, Danielle; Bos, Isabelle; Bosco, Paolo; Bott, Nicholas; Rodrigues, Renato Botter Maio Lopes; Boughanmi, Amani; Bougias, Haralabos; Boulier, Thomas; Bourgeat, Pierrick; Bouyagoub, Samira; Bowes, Mike; Boyes, Richard; Bozoki, Andrea; Bradshaw, Tyler; Pereira, Joana Braga; Brahami, Yoann; Brambati, Simona Maria; Bras, Jose; Braskie, Meredith; Brecheisen, Ralph; Bregman, Noa; Brewer, James; Briassouli, Alexia; Brickman, Adam; Bridges, Robert; Brihmat, Nabila; Brinkmann, Benjamin; Britschgi, Markus; Broers, Thomas; Bron, Esther; Brown, Jesse; Brown, Matthew; Brown, Abel; Brown, Maria; Brunberg, James; Bu, Tao; Bubbico, Giovanna; Bubenik, Peter; Bubu, Omonigho; Buchanan, Daniel; Buchholz, Hans-Georg; Buchsbaum, Bradley; Buck, Katharina; Buckley, Rachel; Budgeon, Charley; Buhl, Derek; Sánchez, Manuel Buitrago; Bundela, Saurabh; Burciu, Irina; Burgos, Ninon; Burke, Shanna; Burn, Katherine; Burns, Jeffrey; Burns, Gully; Burzykowski, Tomasz; Bush, Sammie; Buss, Stephanie; Butcher, Bradley; Butt, Victoria; Buxbaum, Joseph; Sandeep, C. S.; Cabrera, Cristóbal; Cahyaningrum, Winda; Cai, Zhen-Nao; Cai, Siqi; Cai, Erik; Cajka, Tomas; Calamia, Matthew; Caligiuri, Maria Eugenia; Calixte, Christopher; Calon, Frederic; Cameron, Briana; Campbell, Roy; Lopez, Jose Antonio Campos; Cao, Hongliu; Cao, Jiguo; Cao, Guanqun; Cao, Bo; Capizzano, Aristides; Capon, Daniel; Carmasin, Jeremy; Carmichael, Owen; Carr, Sarah; Carrier, Jason; Carter, Greg; Carvalho, Luis; Carvalho, Janessa; Carvalho, Carolina; Casamitjana, Adrià; Casanova, Ramon; Casas, Josep R.; Cash, David; Castelluccio, Pete; Castiglioni, Isabella; Caswell, Carrie; Cattell, Liam; Cauda, Franco; Cepeda, Ileana; Çevik, Alper; Cha, Jungho; Chakrabarti, Shreya; Chakraborty, Shouvik; Chammam, Takwa; Chan, Christina; Chand, Ganesh; Chang, Catie; Chang, Yu-Ming; Chang, Rui; Chang, Hyunggi; Chang, Yu-Chuan; Chang, Ki Jung; Chang, Che-Wei; Chantrel, Steeve; Chao, Justin; Chao, Linda; Chapleau, Marianne; Charil, Arnaud; Chatterjee, Pratishtha; Chatterjee, Sambit; Chaudhry, Zainab; Chauhan, Harmanpreet; Chehade, Abdallah; Chekuri, Omkar; Cheloshkina, Kseniia; Chen, Jianhong; Chen, Gang; Chen, Geng; Chen, Ting-Huei; Chen, Yin Jie; Chen, Xi; Chen, Tzu-Chieh; Chen, Guojun; Chen, Shuzhong; Chen, Jerome; Chen, Fang; Chen, Kaifeng; Chen, Gennan; Chen, Jason; Chen, Guanhua; Chen, Ying-Hsiang; Chen, Ming-Hui; Chen, Chenbingyao; Chen, S. Y.; Chen, Hsu-Hsin; Chen, Xing; Chen, Kewei; Chen, Yuhan; Chen, Hugo; Chen, Rong; Chen, Ing-jou; Chen, Jun; Chen, Jean; Chen, Bo; Cheng, Danni; Cheng, Hewei; Cheng, Yong; Cheng, Yang; Cheng, Zhang; Cheng, Wai Ho; Chenhall, Tanya; Chepkoech, Joy-Loi; Cherukuri, Venkateswararao; Chhibber, Aparna; Chi, Haoyuan; Chi, Chih-Lin; Chiang, Gloria; Chiesa, Patrizia; Childress, Daniel Micah; Chilukuri, Yogitha; Fatt, Cherise Chin; Chincarini, Andrea; Ching, Christopher; Chiotis, Konstantinos; Cho, Soo Hyun; Cho, Yongrae; Cho, Sooyun; Choi, Jun-Sik; Choi, Hongyoon; Choi, Yeoreum; Choi, Sophia; Choi, Jaesik; Choi, Euna; Choo, I. L. Han; Chopra, Vishal; Chougrad, Hiba; Chouraki, Vincent; Christini, Amanda; Chu, Yufang; Chuang, Tzu-Chao; Chuanji, Luo; Chuanjian, Yu; Chun, Marvin; Chun, Sung; Chung, Ai; Chung, Yu-Min; Chung, Jung-Che; Chung, Ai Wern; Chung, Jaeeun; Chyzhyk, Darya; Ciarleglio, Adam; Cioli, Claudia; Cittanti, Corrado; Cives, Ana; Clark, Marissa; Clayton, David; Clement, Mark; Clifft, Daniel; Climer, Sharlee; Clouston, Sean; Clunie, David; Cohen, Phoebe; Cohen, Taco; Cole, Michael; Cole, James; Colletti, Patrick; Collingwood, Joanna; Comley, Robert; Conklin, Bryan; Conner, Lindsay; Conover, Joanne; Contardo-Berning, Ivona; Conway, Ronan; Copani, Agata; Coppola, Giovanni; Corbett, Syl; Corlier, Fabian; Correia, Rui; Cosman, Joshua; Costantino, Sebastian; Coubard, Olivier; Coulson, Elizabeth; Couser, Elizabeth; Cox, Kris; Coyle, Patrick; Cozzi, Brian; Craddock, Cameron; Crawford, Karen; Creese, Byron; Cribben, Ivor; Crisostomo-Wynne, Theodore; Crossley, Nicolas; Croteau, Etienne; Cruchaga, Carlos; Cuajungco, Math; Cui, Jing; Cui, Sue; Cullen, Nicholas; Cuneo, Daniel; Cutanda, Vicente; Cynader, Max; Binu, D.; D'Avossa, Giovanni; Dai, Tian; Dai, Peng; Dai, Hui; Davied Hong, Daivied Hong; Dakovic, Marko; Dalca, Adrian; Damiani, Stefano; Dammak, Mouna; Damoiseaux, Jessica; Dan, Zou; Dang, Xuan Hong; Dang, Shilpa; Daniel, Zinkert; Danjou, Fabrice; Darby, Eveleen; Darby, Ryan; Dardzinska, Agnieszka; Darst, Burcu; Darvesh, Sultan; Das, Kalyan; Das, Devsmita; Das, Sandhitsu; Das, Dulumani; Datta, Shounak; Dauvillier, Jérôme; Davatzikos, Christos; Davidson, Ian; de Boer, Renske; de Bruijne, Marleen; de Buhan, Maya; de Jager, Philip; de La Concha Vega, Nuño; de Lange, Siemon; de Luis Garcia, Rodrigo; de Marco, Matteo; de Sitter, Alexandra; Dean, Scott; Decarli, Charles; Decker, Summer; del Gaizo, John; Demir, Zeynep; Denby, Charles; Deng, Yanjia; Deng, Wanyu; Denisova, Kristina; Denney, William; Depue, Brendan; DeRamus, Thomas; Desikan, Rahul; Desplats, Paula; Desrosiers, Christian; Devadas, Vivek; Devanarayan, Viswanath; Devarajan, Sridharan; Devenyi, Gabriel; Dezhina, Zalina; Dhami, Devendra; Dharsee, Moyez; Dhillon, Permesh; Di, Xin; Di Mauro, Nicola; Diah, Kimberly; Diamond, Sara; Diaz-Asper, Catherine; Diciotti, Stefano; Dickerson, Bradford; Dickie, David Alexander; Dickinson, Philip; Dicks, Ellen; Diedrich, Karl; Dieumegarde, Louis; Dill, Vanderson; Dilliott, Allison; Ding, Zhaohua; Ding, Shanshan; Ding, Yanhui; Ding, Xiuhua; Ding, Xuemei; Dinov, Ivo; Dinu, Valentin; Diouf, Ibrahima; Dmitriev, Phillip; Dobromyslin, Vitaly; Dodge, Hiroko; Dolui, Sudipto; Dona, Olga; Dondelinger, Frank; Dong, Wen; Dong, Hao-Ming; Kehoe, Patricio Donnelly; Donohue, Michael; Dore, Vincent; Dougherty, Chase; Doughty, Mitchell; Dowling, N. Maritza; Doyle, Senan; Doyle, Andrew; Dragan, Matthew; Draganski, Bogdan; Draghici, Sorin; Dragomir, Andrei; Drake, Derek; Drake, Erin; Drd, Shilpa; Dronkers, Nina; Drozdowski, Madelyn; Du, Changde; Du, Yuhui; Du, Lei; Du, Guangwei; Du, Xingqi; Duan, Fang; Duan, Yuzhuo; Duan, Kuaikuai; Duchesne, Simon; Duggento, Andrea; Dukart, Juergen; Dumont, Matthieu; Dunn, Ruth; Duong, Vu; Duraisamy, Baskar; Duran, Tugce; Durrleman, Stanley; Dutta, Joyita; Dyrba, Martin; Dyvorne, Hadrien; R, Amulya E.; Eads, Jennifer; Eastman, Jennifer; Eaton, Susan; Edlund, Christopher; Edmonds, Emily; Edmondson, Mackenzie; Ehsan, Fatima; El-Gabalawy, Fady; Elander, Annie; Elango, Vidhya E.; Eldeeb, Ghaidaa; Elgamal, Fatmaelzahraa; Rodrigues, Yuri Elias; Elman, Jeremy; Elrakaiby, Nada; Emahazion, Tesfai; Emami, Behnaz; Embrechts, Jurriën; Emran Khan Emon, Mohammad Asif; Emrani, Saba; Emrani, Asieh; Emri, Miklós; Engelhardt, Barbara; Engle, Bob; Epstein, Noam; Er, Fusun; Erhardt, Erik; Eriksson, Oscar; Omay, Zeynep Erson; Escudero, Javier; Eshleman, Jason; Eskildsen, Simon; Espinosa, Luis; Essex, Ryan; Esteban, Oscar; Estrada, Karol; Ethell, Douglas; Ethridge, Kimberly; Ettehadi, Seyedrohollah; Eva, Bouguen; Evenden, Dave; Evtikheeve, Rina; Ewert, Siobhan; Fague, Scot; Fahmi, Rachid; Faizal, Sherin; Falahati, Farshad; Fan, Li; Fan, Zhen; Fan, Yong; Fan, Maohua; Fan, Yonghui; Fan, Sili; Fan, Ruzong; Fang, Chen; Fang, Xiaoling; Fanjul-Vélez, Félix; Fanti, Alessandro; Far, Bab; Farah, Martha; Farahani, Naemeh; Farahibozorg, Seyedehrezvan; Farahnak, Farhood; Farajpour, Maryam; Fardo, David; Farkhani, Sadaf; Farnsworth, Bryn; Farooq, Hamza; Farooq, Ammarah; Farouk, Yasmeen; Farrar, Danielle; Farrer, Lindsay; Fatemehh, Fatemeh; Fatemizadeh, Emad; Fatfat, Kim; Fatima, Shizza; Faux, Noel; Favan-Niven, Anne; Favary, Clélia; Fazlollahi, Amir; Fei, Gao; Feingold, Franklin; Feizi, Soheil; Félix, Eloy; Femminella, Grazia Daniela; Feng, Zijun; Feng, Ao; Feng, Brad; Feng, Xinyang; Feragen, Aasa; Fereidouni, Marzieh; Fernandes, Miguel; Fernández, Víctor; Ferrari, Ricardo; Ferraris, Sebastiano; Ferreira, Francisco; Ferreira, Luiz Kobuti; Ferreira, Hugo; Fiecas, Mark; Fieremans, Els; Fiford, Cassidy; Figurski, Michal; Filippi, Massimo; Filshtein, Teresa; Findley, Caleigh; Finger, Elizabeth; Firth, Nicholas; Fischer, Christopher; Fischer, Florian; Fitall, Simon; Fleet, Blair; Fleishman, Greg; Flokas, Lambros; Flores, Alberto; Focke, Niels; Fok, Wai Yan; Foldi, Nancy; Fôlego, Guilherme; Forero, Aura; Fornage, Myriam; Fos Guarinos, Belén; Founshtein, Gregory; Franc, Benjamin; Francois, Clement; Franke, Katja; Fraser, Mark; Frasier, Mark; Frederick, Blaise; Freitas, Fernandho; Escalin, Frency Jj; Freudenberg-Hua, Yun; Friedman, Brad; Friedmann, Theodore; Friedrich, Christoph M.; Frings, Lars; Frisoni, Giovanni; Fritzsche, Klaus; Frolov, Alexander; Frost, Robert; Fu, Ling; Fu, Zening; Fudao, Ke; Fuentes, Emmanuel; Fujishima, Motonobu; Fujiwara, Ken; Fukami, Tadanori; Funk, Cory; Furcila, Diana; Fuselier, Jessica; Nagarjuna Reddy, G.; Gaasterland, Terry; Gabelle, Audrey; Gahm, Jin; Gaiteri, Chris; Gajawelli, Niharika; Galantino, Alexis; Galarza Hernández, Javier; Galasko, Douglas; Galea, Liisa; Galisot, Gaetan; Sánchez, Antonio Javier Gallego; Gallins, Paul; Gamberger, Dragan; Gan, Hong Seng; Gan, Gavin; Ganapathi, Subha; Gancayco, Christina; Gangishetti, Umesh; Ganzetti, Marco; Gao, Fei; Gao, Jingjing; Gao, Linlin; Gao, Tianxiang; Gao, Yuanyuan; Gao, Xiaohong; Garani, Ranjini; Garbarino, Sara; Garcia, Ivan; Garcia, Xiadnai; Garcia, Jorge; Garcia, Tanya; Garcia Arias, Hernan Felipe; de La Garza, Angel Garcia; Gaig, Mireia Garcia; Novoa, Jorge Garcia; Valero, Mar Garcia; Garcia-Ojalvo, Jord; García-Polo, Pablo; Garg, Rahul; Garg, Gaurav; Garg, Divya; Garibotto, Valentina; Garvey, Matthew; Garza-Villarreal, Eduardo; Gaubert, Malo; Gauthier, Serge; Gavett, Brandon; Gavidia, Giovana; Gavtash, Barzin; Gawryluk, Jodie; Gbah, Messon; Ge, Tian; Geerts, Hugo; Geisser, Niklaus; Geng, Junxian; Gentili, Claudio; Gess, Felix; Ghaderi, Halleh; Ghahari, Shabnam; Ghanbari, Yaghoob; Ghazi-Saidi, Ladan; Ghodrati, Mojgan; Ghorbani, Behnaz; Ghoreishiamiri, Reyhaneh; Ghosal, Sayan; Ghosh, Sukanta; Ghosh, Saheb; Ghosh, Sreya; Ghoshal, Ankur; Giannicola, Galetta; Gibert, Karina; Gibson, Gary; Gieschke, Ronald; Gil Valencia, Jorge Mario; Gillen, Daniel; Giordani, Alessandro; Giraldo, Diana; Gispert, Juan D.; Gitelman, Darren; Giuffrida, Mario Valerio; Madhu, G. K.; Glass, Jesse; Glazier, Brad; Gleason, Carey; Glerean, Enrico; Glozman, Tanya; Godbey, Michael; Goettlich, Martin; Gogoi, Minakshi; Gola, Kelly; Golbabaei, Soroosh; Golden, Daniel; Goldstein, Felicia; Gomes, Carlos; de Olivera, Ramon Gomes Durães; Gomez, Isabel; Gomez Gonzalez, Juan Pablo; Gomez-Verdejo, Vanessa; Gong, Weikang; Gong, Enhao; Gong, Kuang; Gonneaud, Julie; Gonzalez, Clio; Gonzalez, Evelio; Gonzalez, Gerardo; Moreira, Eduardo Gonzalez; Goodman, James; Gopinath, Srinath; Gopu, Anusharani; Gordon, Brian; Gordon, David; Gordon, Mark; Gorriz, Juan Manuel; Gors, Dorothy; Göttler, Jens; Gounari, Xanthippi; Goyal, Devendra; Graf, John; Graff, Ariel; Graham, Leah; Graham, Jinko; Grajski, Kamil; Grami, Maziyar; Grand'Maison, Marilyn; Grant, Kiran; Grassi, Elena; Gray, Katherine; Grecchi, Elisabetta; Green, Robert; Green, Elaine; Greenberg, Jonathan; Greening, Steven; Greenwood, Bryson; Gregori, Johannes; Gregory, Michael; Greicius, Michael; Greve, Douglas; Griffin, Jason; Grill, Joshua; Grodner, Kelsey; Grolmusz, Vince; Groot, Perry; Groothuis, Irme; Gross, Alden; Grundstad, Arne; Grundy, Edward; Grzegorczyk, Tomasz; Nandith, G. S.; Gu, David; Gu, Jiena; Gu, Yun; Gu, Ginam; Guan, Sheng; Guan, Yuanfang; Guennel, Tobias; Guerin, Laurent; Guerrero, Ricardo; Guerrier, Laura; Guevara, Pamela; Guggari, Shankru; Roy, Abhijit Guha; Guidotti, Roberto; Guillon, Jérémy; Gulcher, Jeff; Gulia, Sarita; Gumedze, Freedom; Gunawardena, Nishan; Gunn, Roger; Guo, Michael; Guo, Xiao; Guo, Xingzhi; Guo, Yi; Kai, Zhang Guo; Zhao, Ma Guo; Gupta, Navin; Gupta, Anubha; Gupta, Ishaan; Guren, Onan; Gurnani, Ashita; Gurol, Mahmut Edip; Guzman, Gloria; Gyy, Gyy; Rajanna, Vanamala H.; Ha, Seongwook; Haacke, Ewart; Haaksma, Miriam; Habadi, Maryam; Habeck, Christian; Habes, Mohamad; Hackspiel Zarate, Maria Mercedes; Hadimani, Ravi; Hahn, William; Hahn, Tim; Haight, Thaddeus; Hair, Nicole; Haixing, Wang; Hajarolasvadi, Noushin; Hajjar, Ihab; Hajjo, Rima; Halchenko, Yaroslav; Hall, Anette; Hallock, Kevin; Hamdi, Shah Muhammad; Hameed, Farhan; Hamidian, Hajar; Han, Dong; Han, Yang; Han, Hio-Been; Han, Qingchang; Han, Beomsoo; Han, Duke; Han, Shizhong; Han, Xiaoxia; Han, Peipei; Han, Joo Yoon; Han, Dong-Sig; Handsaker, Robert; Hanna-Pladdy, Brenda; Hanseeuw, Bernard; Hansson, Björn; Hao, Yang; Hao, Jhon; Happ, Clara; Harischandra, Dilshan; Haritaoglu, Esin; Harris, Richard; Harris, Breanna; Hart, Brian; Hartzell, James; Harvey, Danielle; Hashimoto, Tsuyoshi; Hasooni, Hossein; Hassan, Moaied; Hassan, Mehdi; Hassanzadeh, Hamid Reza; Hassanzadeh, Oktie; Hatton, Sean; Hawchar, Jinan; Hayashi, Toshihiro; Hayashi, Norio; Hayes, Jasmeet; Hayete, Boris; Haynor, David; He, Linchen; He, Yan; He, Yao; He, Huiguang; Heegaard, Niels; Hefny, Mohamed; Heil, Julius; Heindel, William; Henderson, Samuel; Henf, Judith; Henriquez, Claudio; Herholz, Karl; Hermessi, Haithem; Hernandez, Monica; Herrera, Luis; Hibar, Derrek; Hidane, Moncef; Higuchi, Satomi; Hind, Jade; Hives, Florent; Hoang, Mimi; Hobel, Zachary; Hoffman, John; Hofmeister, Jeremy; Hohman, Timothy; Holder, Daniel; Holguin, Jess; Holmes, Robin; Hong, John; Hongliang, Zou; Hongyu, Guo; Hopkins, Paul; Hor, Soheil; Hornbeck, Russ; Horng, Andy; Horton, Wesley; Hosny, Khalid; Hosseini, Eghbal; Hosseini, Hadi; Hosseini, Zahra; Asl, Ehsan Hosseini; Hou, Beibei; Houghton, Richard; Houghton, Katherine; Householder, Erin; Howlett, James; Hsiao, John; Hsiao, Ing-Tsung; Hsu, Chih-Chin; Hu, Xixi; Hu, Lingjing; Hu, Nan; Hu, Kun; Hu, Tao; Hu, Li; Hu, Xiaolan; Hua, Fei; Huang, Marissa; Huang, Qi; Huang, Michelle; Huang, Chao; Huang, JunMing; Huang, Xingyuan; Huang, Yuhan; Huang, Sing-Hang; Huang, Shuai; Huang, Peiyu; Huang, Chun-Chao; Huang, Zhiyue; Huang, Meiyan; Huang, Zhiwen; Hubrich, Markus; Huestis, Michael; Huey, Edward; Hufton, Andrew; Huijbers, Willem; Huisman, Sjoerd; Hung, Joe; Hunsaker, Naomi; Hunt, Fostor; Huppertz, Hans-Jürgen; Huser, Vojtech; Hussain, Lal; Hutchison, R. Matthew; Hutton, Alexandre; Huyck, Els; Hwang, Jihye; Hyun, JungMoon; Iakovakis, Dimitris; Ibañez, Victoria; Ide, Kayoko; Igarashi, Takuma; Iglesias, Juan Eugenio; Muñoz, Laura Igual; Iidaka, Tetsuya; Ikeuchi, Takeshi; Ikhena, John; Ikuta, Toshikazu; Im, Hyung-Jun; Insausti, Ana; Insel, Philip; Invernizzi, Azzurra; Iosif, Ana-Maria; Ip, Nancy; Irizarry, Sierra; Irmak, Emrah; Irwin, David; Isaza, Mariano; Ishii, Makoto; Ishii, Kenji; Islam, Jyoti; Israel, Ariel; Isufi, Elvin; Ito, Kaori; Ito, Masato; Izquierdo, Walter; Alphin, J.; Akhila, J. A.; Jaberzadeh, Amir; Jackowiak, Edward; Jackson, Eric; Jackson, Chris; Jackson, Jonathan; Jacob, Samson; Jacobsen, Nina; Jacobsen, Jörn; Jacquemont, Thomas; Jacques, Nerline; Jaeger, Ralf; Jafari, Tahere; Jafari-Khouzani, Kourosh; Jagadish, Akshay Kumar; Jagtap, Priti; Jagust, William; Jahr, Joseph; Jain, Shubhankar; Jain, Shubham; Jaiswal, Ayush; Jaiswal, Akshay; Jait, Amine; Jakkoju, Chetan; Jakobsson, Andreas; James, Olga; James, Oliver; Jamlai, Maedeh; Jammeh, Emmanuel; Janardhana, Lajavanthi; Jang, Jinseong; Jang, Jae-Won; Jang, Jinhee; Jang, Hyesue; Janghel, Rekh Ram; Jawahar, Shasvat; Jean, Kharne; Jean-Baptiste, Schiratti; Jedynak, Bruno; Jefferson, Angela; Jennings, Danna; Jennings, Dominique; Jeon, Seun; Jeong, Yong; Jester, Charles; Jethwa, Ketan; Jha, Debesh; Ji, Gong-Jun; Ji, Chong; Ji, Jin; Jia, Bowen; Jiacheng, Lee; Jiajia, Guo; Jian, Weijian; Jiang, Shan; Jiang, Chunxiang; Jianhua, Gao; Jiao, Zhuqing; Jiao, Zeyu; Jiao, Du; Jimenez Alaniz, Juan Ramon; Gomez, Carolina Jimenez; Jiménez-Huete, Adolfo; Jimura, Koji; Jin, Yan; Jin, Zhu; Jogia, Jigar; Johansson, Per; John, Kimberley; Johnsen, Stian; Johnson, Leonard; Johnson, Sterling; Johnson, Kent; Johnston, Jane; Johnston, Stephen; Jomeiri, Alireza; Jonas, Katherine; Jones, Richard; Jones-Davis, Dorothy; Jönsson, Linus; Joseph, Jane; Joshi, Himanshu; Joshi, Shantanu; Joshi, Abhinay; Joyce, Katherine; Juengling, Freimut; Jung, Youngjin; Junker, Viv; Junwei, Ding; Jyothi, Singaraju; Jyotiyana, Monika; Sarthaj, K.; Kachouane, Mouloud; Kadian, Amit; Kaewaramsri, Yothin; Kaicheng, Li; Kaiser, Marcus; Kakinami, Lisa; Kalra, Sanjay; Kam, Hye Jin; Kamarudin, Nur Shazwani; Kaminker, Josh; Kandel, Benjamin; Kandiah, Nagaendran; Kaneko, Tomoki; Kang, Yun Seok; Kang, Ju Hee; Kang, Hakmook; Kang, Jian; Kansal, Anuraag; Kaouache, Mohammed; Kaplan, Adam; Kottaram, Akhil Karazhma; Karim, Faizan; Karimi-Mostowfi, Nicki; Karjoo, Mahboobe; Karlin, Daniel; Karp, Juliana; Karray, Chiheb; Kartsonis, Nick; Karu, Naama; Kasa, Jaya; Kasiri, Keyvan; Katako, Audrey; Kato, Ryo; Katsonis, Panagiotis; Katti, Hkkatti; Kaur, Prabhjot; Kauwe, John; Kawaguchi, Atsushi; Kazemi, Samaneh; Kazemi, Yosra; Rijan, K. C.; Kechin, Andrey; Kelkhoff, Douglas; Kelleher, Thomas; Kellner-Weldon, Frauke; Kennion, Oliver; Kerr, Daniel; Kesler, Shelli; Kesselman, Carl; Kessler, Daniel; Keuken, Max; Keyvanfard, Farzaneh; Khademi, April; Khajehnejad, Moein; Khan, Wasim; Khan, Tabrej; Khan, Hikmat; Khan, Anzalee; Khan, Samreen; Khanmohammadi, Sina; Khasanova, Tatiana; Khazaee, Ali; Khazan, Lenny; Kherif, Ferath; Khl, Aym; KHlif, Mohamed Salah; Khondoker, Mizanur; Khoo, Sok Kean; Khosrowabadi, Reza; Khurshid, Kiran; Kianfard, Reihaneh; Kida, Satoshi; Kiddle, Steven; Kikuchi, Masashi; Killiany, Ron; Kim, Jeongchul; Kim, Jong Hun; Kim, Hyunwoo; Kim, Jongin; Kim, Yeo Jin; Kim, Jung-Jae; Kim, Hang-Rai; Kim, Jaeyeol; Kim, Ki Hwan; Kim, Joseph; Kim, Younghoon; Kim, Mijung; Kim, Jeongsik; Kim, Bohyun; Kim, Taehyun; Kim, Heeyoung; Kim, Seonjik; Kim, Nakyoung; Kim, Byeongnam; Kim, ChanMi; Kim, Jeonghun; Kim, Seong Yoon; Kim, Sunhee; Kingery, Lisle; Kinnunen, Kirsi; Kinomes, Marie; Kirchner, Jan Hendrik; Caldwell, Jessica Kirkland; Kirwan, Brock; Kitamura, Chiemi; Kitty, Kitty; Kiviat, David; Kiyasova, Vera; Klein, Richard; Klein, Alison; Klein, Gregory; Klein, Jan; Kleinman, Aaron; Kling, Mitchel; Klinger, Joern; Klinger, Rebecca; Klink, Katharina; Kocaturk, Mustafa; Koch, Philipp Johannes; Kochova, Elena; Koenig, Loren; Koh, Natalie; Köhler, Jens Erik; Koikkalainen, Juha; Koini, Marisa; Kolachalama, Vijaya; Koncz, Rebecca; Kong, Xiang-Zhen; Kong, Vincent; Kong, Xiangzhen; Kong, Dehan; Kong, Linglong; Konukoglu, Ender; Kopeinigg, Daniel; Kopera, Krzysztof; Koppers, Simon; Korb, Matheus; Korfiatis, Panagiotis; Korolev, Igor; Korolev, Sergey; Korostyshevskiy, Valeriy; Koshiya, Heena; Kost, James; Kotari, Vikas; Koutra, Danai; Koychev, Ivan; Kruthika, K. R.; Krahnke, Tillmann; Krause, Matthew; Kraybill, Matt; Kriebel, Martin; Hari Krishna, M.; Krohn, Stephan; Kruggel, Frithjof; Kuceyeski, Amy; Kuhl, Donald; Kulshreshtha, Devang; Kumar, Santosh; Kumar, Sambath; Kumar, Kuldeep; Kumar, Anil; Kumar, Abhishek; Kumar, A.; Kumar, Saurabh; Kumar, Ashwani; Kumar, Ambar; Kumar, Dinesh; Kumar, Rishab; Kumarasinghe, Janaka; Kundu, Suprateek; Kung, Te-Han; Kuo, Li-Wei; Kuo, Phillip; Channappa, Usha Kuppe; Kuriakose, Elmy; Kurian, P.; Kwan, Kenneth; Kwasigroch, Arkadiusz; Kwon, Young Hye; Kyeong, Sunghyon; Fleur, Claire La; Wungo, Supriyadi La; Labbe, Tomas; Lacombe, Daniel; Lad, Meher; Lahoti, Geet; Lai, Ying Liang; Lai, Catherine; Lai, Dongbing; Laird, Dillon; Lakatos, Anita; Lam, Alice; Lama, Ramesh; Lambert, Christian; Landau, Susan; Landman, Bennett; Landre, Victor; Lane, Elizabeth; Lange, Catharina; Langenieux, Alexandre; Lareau, Caleb; Larson, Katelyn; Latif, Ghazanfar; Lauber, Ross; Lawliet, Z. H.; Lawrence, Emma; Lazar, Anca; Le, Ngan; Le, Thi Khuyen; Le, Matthieu; Guen, Yann Le; Scouiller, Stephanie Le; Leandrou, Stephanos; Leatherday, Christopher; Leavitt, Mackenzie; Ledbetter, Christina; Lee, Hyekyoung; Lee, Wook; Lee, Annie; Lee, Jaehong; Lee, Dongyoung; Lee, Joel; Lee, Song-Ting; Lee, Kuo-Jung; Lee, Subin; Lee, Jaeho; Lee, Catherine; Lee, Gyungtae; Lee, Suzee; Lee, Erik; Lee, Yunseong; Lee, Sang-Gil; Lee, Seonjoo; Lee, Peng Jung; Lee, Hyunna; Lee, Cheng-Hsien; Lee, Hengtong; Lee, Mi Ri; Lee, Ilgu; Lee, Qixiang; Lefterov, Iliya; Leger, Charlie; Lehallier, Benoit; Lei, B.; Lei, Shi; Lei, Hongxing; Lei, Haoyun; Leong, Tze Yun; Leong, Sharlene; Leoutsakos, Jeannie-Marie; Lepore, Natasha; Lerch, Ondrej; Leung, Yip Sang; Leung, Yuk Yee; Leung, Shuyu; Leung, Hoi-Chung; Leung, Ming-Ying; Levakov, Gidon; Levine, Abraham; Li, Chawn; Li, Miranda; Li, Huijie; Li, Junning; Li, Xiaofeng; Li, Yi; Li, Jinchao; Li, Tianhong; Li, Yongming; Li, Xiangrui; Li, Tieqiang; Li, Yan; Li, Fuhai; Li, Feijiang; Li, Shuyang; Li, Zhi; Li, Xing; Li, Rongjian; Li, Rui; Li, Y. U.; Li, Kang; Li, Zhenzhen; Li, Qingqin; Li, Wenjun; Li, Yang; Li, Jialu; Li, Guangyu; Li, Michelle; Li, Yibai; Li, Yupeng; Li, Tao; Li, Zhujun; Li, Yafen; Li, Muwei; Li, Xuan; Li, Yi-Ju; Li, Cen Sing; Li, X. W.; Li, Yingjie; Li, Lin; Li, Yihan Jessie; Li, Yaqing; Li, Xiantao; Li, Xingfeng; Li, Chenxi; Li, Chao; Li, Jicong; Li, Jiewei; Li, Tengfei; Li, Wei; Li, Xinzhong; Li, Nannan; Li, Chunfei; Li, Yeshu; Liang, Chen; Liang, Nanying; Liang, Jingjing; Liang, Shengxiang; Liang, Xiaoyun; Liang, Xia; Liang, Ying; Liberman, Sofia; Libon, David; Liébana, Sergio; Liedes, Hilkka; Lim, Wee Keong; Lim, Yen Ying; Lin, Yenching; Lin, Katherine; Lin, Ming; Lin, Ai-Ling; Lin, Ching-Heng; Lin, Bing; Lin, Lin; Lin, Jyh-Miin; Lin, W. M.; Lin, Chien-Tong; Lin, Liyan; Lin, Jing; Lindberg, Olof; Linesch, Paul; Linn, Kristin; Lippert, Christoph; Litovka, Nikita; Little, Graham; Liu, Man-Yun; Liu, Jin; Liu, Chin-Fu; Liu, Zhaowen; Liu, Eulanca; Liu, Weixiang; Liu, K. E.; Liu, Hao Chen; Liu, Jia; Liu, Richann; Liu, Dongbo; Liu, Victor; Liu, Wenjie; Liu, Tao; Liu, Xiaoli; Liu, Yong; Liu, Lin; Liu, Dan; Liu, Xiuwen; Liu, Mengmeng; Liu, Chia-Shang; Liu, Ying; Liu, Yan; Liu, Xueqing; Liu, Han; Liu, Chien-Liang; Liu, Sidong; Liu, Jundong; Liu, Yang; Liu, Tianming; Liu, Tingshan; Liu, Ning; Liu, Lan; Liuyu, Liuyu; Lizarraga, Gabriel; Llido, Jerome; Lobach, Iryna; Lockhart, Samuel; Loft, Henrik; Lohr, Kelly; Lon, Hoi Kei; Lone, Kashif Javed; Long, Ziyi; Long, Xiaojing; Longo, Frank; Alves, Isadora Lopes; Lopez, Guadalupe; Lorenzi, Marco; Lotan, Eyal; Louie, Gregory; Louis, Maxime; Loukas, Andreas; Love, Seth; Lowe, Deborah; Lu, Bin; Lu, Chia-Feng; Lu, Zixiang; Lu, Lijun; Lu, Pascal; Lu, Shen; Lu, Qing; Lu, Zheshen; Lu, Chuan; Lu, Patty; Lu, Hangquan; Lu, Bo; Luktuke, Yadnyesh; Luo, Wei; Luo, Suhuai; Luo, Sheng; Luo, Shaojun; Luo, Peggy; Luo, Shan; Luo, Weidong; Luo, Liao; Luo, Xiao; Lupton, Michelle; Lutz, Michael; Lv, Eric; Lyu, Juan; Angshul, M.; Radha, M. R.; Dinesh, M. S.; Ma, Xiangyu; Ma, Chao; Ma, Li; Ma, Yu; Ma, Qianli; MacArthur, Daniel; Macey, Paul; Mach, Eric; MacPhee, Imola; Madadi, Mahboubeh; Madan, Christopher; Madan, Bharat; Madero, Giovanny; Madhavan, Radhika; Madhyastha, Tara; Maeno, Nobuhisa; Magsood, Hamzah; Mah, Linda; Mahdavi, Shirin; Mahdavi, Asef; Mahmoud, Abeer; Mahmoud, Hentati; Mahmoud, Kariman; Mahmoudi, Ahmad; Dehkordi, Siamak Mahmoudian; Mahor, Monika; Mahseredjian, Taleen; Mai, Cha; Maia, Rui; Maiti, Taps; Maj, Carlo; Maji, Pradipta; Majidpour, Jafar; Makhlouf, Laouchedi; Makino, Satoshi; Makrievski, Stefan; Makse, Hernan; Malagi, Archana; Malakhova, Katerina; Malamon, John; Malashenkova, Irina; Malchano, Zach; Maleki-Balajoo, Somayeh; Malik, Sadia; Malik, Tamoor; Mallik, Abhirup; Malm, Tarja; Malpas, Charles; Malpica, Norberto; Malviya, Meenakshi; Mamandi, A.; Manandhar, Abinash; Mandal, Pravat; Mandali, Alekhya; Mane, Prajakta; Manning, Emily; Manoufali, Mohamed; Manser, Paul; Mantini, Dante; Mantri, Ninad; Manyakov, Nikolay; Manzak, Dİlek; Mao, Shuai; Maoyu, Tian; Maple Grødem, Jodi; Maravilla, Kenneth; Marco, Simonetti; Marcus, Daniel; Margetis, John; Margolin, Richard; Mariano, Laura; Marinescu, Razvan Valentin; Markett, Sebastian; Markiewicz, Pawel; Marnane, Michael; Maroof, Asif; Marple, Laura; Marques, Cristiane; Marrakchi, Linda; Marshall, Gad; Märtens, Kaspar; Mårtensson, Gustav; Marti, Cristian; Martin, Harold; Martinaud, Olivier; Martinez, Victor; Martinez, Oliver; Martinez, Jesus; Martinez, Carlos; Abadías, Neus Martinez; Torteya, Antonio Martinez; Martini, Jean-Baptiste; Martins, Samuel; Masciotra, Viviane; Masmoudi, Ahmed; Masny, Aliaksandr; Shah, Pir Masoom; Massaro, Tyler; Masumoto, Jun; Matan, Cristy; Mate, Karen; Mateus, Pedro; Mather, Mara; Mather, Karen; Mathew, Jesia; Mathias, Samuel; Mathiyalagan, Tamilalaghan; Matloff, Will; Matsubara, Keisuke; Matsubara, Takashi; Matsuda, Yukihisa; Matthews, Dawn; Mattis, Paul; May, Patrick; Mayburd, Anatoly; Mayo, Chantel; Mayordomo, Elvira; Mbuyi, Gaylord; McCallum, Colleen; McCann, Bryony; McCollough, Todd; McCormick, Shannon; McCurdy, Sean; McDonald, Carrie; McEligot, Archana; McEvoy, Linda; McGeown, William; McGinnis, Scott; McHugh, Thomas; McIntosh, Elissa; McIntosh, Randy; McKenzie, Andrew; McLaren, Donald; McMillan, Corey; McMillan, Alan; McPherson, Brent; McRae-McKee, Kevin; Zaini, Muhammad Hafiz Md; Meadowcroft, Mark; Mecca, Adam; Meda, Shashwath; Medikonda, Venkata Srinu; Meeker, Karin; Megherbi, Thinhinane; Mehmood, Anum; Mehrtash, Alireza; Meiberth, Dix; Meier, Dominik; Meijerman, Antoine; Mejia, Jose; Mekkayil, Lasitha; Meles, Sanne; Melie-Garcia, Lester; Melo, Hans; Melrose, Rebecca; Melzer, Corina; Mendes, Aline; Leon, Ricardo Antonio Mendoza; Gonzalez, Manuel Menendez; Meng, Dewen; Meng, Xianglai; Meng, Guilin; Mengel, David; Menon, Ramesh; Menon, Ravi; Mercado, Flavio; Messick, Viviana; Meyer, Pierre-Francois; Meyer, Carsten; Mezher, Adam; Mi, Liang; Miao, Hongyu; Michailovich, Oleg; Michels, Lars; Mickael, Guedj; Mikhail, Mark; Mikhno, Arthur; Milana, Diletta; Miller, Rachel; Miller, Brendan; Millikin, Colleen; Min, Byung Wook; Minadakis, George; Minghui, Hu; Chinh, Truong Minh; Minkova, Lora; Miranda, Michelle; Misevic, Dusan; Mishra, Amit; Mishra, Chetan; Mishra, Shiwangi; Mishra, Ashutosh; Mishra, Krishna; Misquitta, Karen; Mitchell, Brian; Mithawala, Keyur; Mitnitski, Arnold; Mitra, Sinjini; Mittal, Gaurav; Mittner, Matthias; Miyapuram, Krishna Prasad; Mlalazi, Rebaone; Mo, Daojun; Moghekar, Abhay; Moguilner, Sebastian; Moh, Heba; Mohabir, Mark; Mohajer, Bahram; Mohamed, Moataz; Mohammadi, Sadeq; Mohammadi-Nejad, Ali-Reza; Mohammady, Saed; Taqi, Arwa Mohammed; Mohan, Kishore Kumar; Mohy-Ud-Din, Hassan; Moitra, Dipanjan; Mojaradi, Mehdi; Mojtabavi, Alireza; Molina, Helena; Mollon, Jennifer; Molteni, Erika; Montajabi, Mohaddeseh; Montal, Victor; Montazami, Aram; Monté-Rubio, Gemma; Montembeault, Maxime; Montero-Odasso, Manuel; Montillo, Albert; Moon, Byung-Seung; Moon, Chan; Moon, Chooza; Moore, Archer; Morabito, Francesco C.; Moradi, Masoud; Moraes, Renato; Ballesteros, Orlando Morales; Morales-Henriquez, Daniela; Moratal, David; Moreno, Herman; Morihara, Ryuta; Mormino, Elizabeth; Morris, Jeffrey; Mortamet, Bénédicte; Morton, John; Moscato, Pablo; Rial, Alexis Moscoso; Mossa, Abdela Ahmed; Mottaghi, Setare; Mouelhi, Aymen; Moussavi, Arezou; Moustafa, Ahmed; Mowrey, Wenzhu; Mtetwa, Lungile; Muehlboeck, Sebastian; Mueller, Susanne; Mueller-Sarnowski, Felix; Mufidah, Ratna; Mukherjee, Rik; Mukherjee, Shubhabrata; Müller, Christian; Müller, Hans-Peter; Mullins, Paul; Mullins, Roger; Muncy, Nathan; Munir, Akhtar; Munirathinam, Ramesh; Munoz, David; Munro, Catherine; Muranevici, Gabriela; Rendon, Santiago Murillo; Murilo, Robson; Murphy, Sonya; Muscio, Cristina; Musso, Gabriel; Mustafa, Yasser; Myall, Daniel; Gayathri, N.; Nabavi, Shahab; Nabeel, Eman; Nagele, Robert; Naghshbandi, Hane; Naik, Shruti; Najmitabrizi, Neda; Nakawah, Mohammad Obadah; Nalls, Mike; Namboori, Krishnan; Nancy, Annie; Napolitano, Giulio; Narayan, Manjari; Narkhede, Atul; Naseri, Mahsa; Nasrallah, Ilya; Nasrallah, Fatima; Nassif, Rana; Nath, Sruthi R.; Nathoo, Farouk; Nation, Daniel; Naughton, Brian; Nault, Larry; Nautiyal, Deeksha; Nayak, Deepak Ranjan; Naz, Mufassra; Nazemian, Shayan; Nazeri, Arash; Neckoska, Emilija; Neelamegam, Malinee; Nehary, Ebrahim; Nelson, Peter; Nelson, Linda; Nematzadeh, Hosein; Nerur, Shubha; Nesteruk, Thomas; Neu, Scott; Ng, Yen-Bee; Nguyen, Tin; Nguyen, Thanh; Nguyen, Harrison; Nguyen, Nghi; Trung, Hieu Nguyen; Ni, Lucy; Nian, Yongjian; Nichols, Thomas; Nicodemus, Kristin; Nie, Yunlong; Nielsen, Casper; Nikolov, Robert; Nila, Jessica; Nishioka, Christopher; Njeh, Ines; Njie, Emalick; Nobakht, Samaneh; Noble, Andrew; Noda, Art; Noroozi, Ali; Norton, Derek; Nosarti, Chiara; Nosheny, Rachel; Notsu, Akifumi; Novak, Gerald; Nozadi, Seyed Hossein; Nu, Fen; Nudelman, Kelly; Nunes, Adonay; Nunes, Ana; Núñez, Christian; Nuno, Michelle; Nuriel, Tal; Nygaard, Haakon; Nyquist, Paul; O'Bott, Jacob; O'Charoen, Sirimon; O'Neill, William; O'Rawe, Jonathan; Obrzut, Grzegorz; Och, Ganzorig; Odaibo, David; Odry, Benjamin; Oehmichen, Axel; Ofori, Edward; Ogunsanmi, Abdulfatai; Oguz, Kaya; Oh, Jungsu; Oh, Minyoung; Oh, Hwamee; Ohigashi, Hironori; Oishi, Kenichi; Oishi, Naoya; Okhravi, Hamid; Okonkwo, Ozioma; Okyay, Savaş; Oliveira, Cyrill; Oliveira, João; Oliveira, Francisco; Oliver, Ruth; Olmos, Salvador; Olszowy, Wiktor; Oltra-Cucarella, Javier; Önen, Zehra; Ong, Rowena; Onoda, Keiichi; Onyike, Chiadi; Operto, Grégory; Oppedal, Ketil; Orejuela, Juan; Orhon, Atila; Orozco, Max; Ortuño, Juan; Osadebey, Michael; Osborn, Joseph; Osoba, Osonde; Ostadrahimi, Hamid; Ostovari, Parisa; Otis, Sarah; Overgaard, Shauna; Owen, Catrin Elin; Oxtoby, Neil; Öziç, Muhammet Üsame; Ozkaya, Gorkem; Okur, Ozlem Ozmen; Ozsolak, Fatih; Ozyildirim, Melis; Pa, Judy; Pacheco, Joe; Pack, Gary; Padilla, Daniel; Cerezo, Berizohar Padilla; Padovese, Bruno; Pae, Chongwon; Pagano, Gennaro; Pahuja, Gunjan; Pai, Shraddha; Pajavand, Shahryar; Pajula, Juha; Pak, Kyoungjune; Pakzad, Ashkan; Palaniappan, Mathiyalagan; Palanisamy, Sindhu; Palmqvist, Sebastian; Palsson, Frosti; Pan, Dan; Pan, Tiffany; Pan, Yuqing; Pan, Wei; Pan, Sun; Pan, Hongliang; Pan, Xiaoxi; Pandey, Lokesh; Pang, Qiaoyu; Pangilinan, Erin; Pannetier, Nicolas; Panpan, Xu; Panyavaraporn, Jantana; Pardini, Matteo; Paredes, José; Parikh, Jignesh; Park, Seongbeom; Park, Young Ho; Park, Min Tae; Park, Hyunjin; Park, Sejin; Park, JongSeong; Park, DooHyun; Park, Ji Eun; Park, Yuhyun; Park, Jiyong; Parker, Jason; Parker, Richard; Parodi, Alice; Bautista, Yohn Jairo Parra; Parrish, Marcus; Parthiban, Preethy; Pascariello, Guido; Pascual, Belen; Paskov, Hristo; Pasquini, Lorenzo; Tantaleán, Julio Sergio Eduardo Pastor; Pastur, Lucas; Patel, Raihaan; Patel, Sejal; Paterson, Ross; Paton, Bryan; Patriarche, Julia; Patriat, Rémi; Pattichis, Constantinos; Paul, Debashis; Pawar, Kuldeep; Pawlak, Mikolaj; Paz, Rotem; Pedroto, Maria; Pelekanos, Matthew; Péléraux, Annick; Peng, Dan; Peng, Jing; Pengfei, Tian; Perani, Daniela; Peraza, Luis; Pereira, Fabricio; Pereira, Francisco; Perkins, Diana; Perneczky, Robert; Persad, Umesh; Peter, Jessica; Peters, Mette; Peters, Ruth; Pether, Mark; Petrella, Jeffrey; Petrenko, Roman; Petrone, Paula; Petrov, Dmitry; Pezzatini, Daniele; Pfenning, Andreas; Pham, Chi-Tuan; Philipson, Pete; Phillips, Jeffrey; Phillips, Nicole; Phophalia, Ashish; Phuah, Chia-Ling; Pichai, Shanthi; Pichardo, Cesar; Binette, Alexa Pichet; Pietras, Olga; Pietrzyk, Mariusz; Pike, Kerryn; Pillai, Jagan; Piludu, Francesca; Pineda, Joanna; Ping, He; Pirraglia, Elizabeth; Pither, Richard; Piyush, Ranjan; Pizzi, Nick; Gonzalez, Luis Fernando Planella; Plassard, Andrew; Platero, Carlos; Plocharski, Maciej; Podhorski, Adam; Poggiali, Davide; Poghosyan, Mher; Pohl, Kilian; Poirier, Judes; Polakow, Jean Jacques; Politis, Marios; Poljak, Anne; Poloni, Katia Maria; Poole, Victoria; Poppenk, Jordan; Porsteinsson, Anton; Portelius, Erik; Posta, Filippo; Posthuma, Danielle; Potashman, Michele; Poulin, Stephane; Pourmennati, Bahar; Prahlad, Tejas; Pranav, Lee; Prasanth, Isaac; Prashar, Ajay; Prescott, Jeff; Prevedello, Luciano; Previtali, Fabio; Pricer, James; Prichard, James; Prince, Jerry; Prins, Samantha; Pritchard, Christopher; Priya, Priya; Priya, Anandh; Priyanka, Ahana; Properzi, Michael; Prosser, Angus; Proust-Lima, Cécile; Pruessner, Jens; Pu, Jian; Punjabi, Arjun; Punugu, Venkatapavani Pallavi; Puri, Dilip; Renjini, Anurenjan Purushothaman; Pyeon, DoYeong; Qader, Abu; Qi, Zeyao; Qi, Baihong; Qian, Xiaoning; Qian, Long; Qiao, Ju; Qiao, Jocelin; Qiaoli, Zhang; Qin, Hongsen; Qin, Wang; Qin, Tian; Qin, Yuanyuan; Qin, Qinxiaotie; Qin, Qiao; Qing, Zhao; Qiongling, Li; Qiu, Yu; Qiu, Wendy; Qiu, Deqiang; Qiu, Yingwei; Quadrelli, Scott; Qualls, Jake; Quan, Li; Quarg, Peter; Qureshi, Adnan; Anand, R.; Chitra, R.; Balaji, R.; Madhusudhan, R. N.; Raamana, Pradeep Reddy; Rabbia, Michael; Rabin, Laura; Radke, David; Pc, Muhammed Raees; Rafeiean, Mahsa; Raha, Oindrila; Rahimi, Amir; Arashloo, Shervin Rahimzadeh; Rai, Vipin; Rajamanickam, Karunanithi; Rajan, Surya; Rajapakse, Jagath; Rajaram, Sampath; Rajendran, Rajeswari; Rakovski, Cyril; Ramalhosa, Ivo; Raman, Fabio; Ramasamy, Ellankavi; Ramasangu, Hariharan; Ramirez, Alfredo; Ramos Pérez, Ana Victoria; Rana, Rahul; Rane, Swati; Rao, Anil; Rao, Vikram; Rashidi, Arash; Rasoanaivo, Oly; Rassem, Taha; Rastgoo, Hossein; Rath, Daniel; Ratnarajah, Nagulan; Ravikirthi, Prabhasa; Ravipati, Kaushik; RaviPrakash, Harish; Rawdha, Bousseta; Ray, Meredith; Ray, Debashree; Ray, Nilanjan; Ray, Dipankar; Ray, Soumi; Rebbah, Sana; Redding, Morgan; Regnerus, Bouke; Rehn, Patrick; Rehouma, Rokaya; Reid, Robert; Reimer, Alyssa; Reiss, Philip; Reitz, Christiane; Rekabi, Maryam; Rekik, Islem; Ren, Xuhua; Ren, Fujia; Ren, Xiaowei; Ren, Weijie; Renehan, William; Rennert, Lior; Rey, Samuel; Reyes, Pablo; Reza, Rifat; Rezaee, Khosro; Rhinn, Herve; Lorenzo, Pablo Ribalta; Ribeiro, Adèle Helena; Richards, John; Richards, Burt; Richards, Todd; Richardson, Hamish; Richiardi, Jonas; Richter, Nils; Ridge, Perry; Ridgway, Gerard; Ridha, Basil; Ried, Janina; Riedel, Brandalyn; Riphagen, Joost; Ritter, Kerstin; Rivaz, Hassan; Rivers-Auty, Jack; Allah, Mina Rizk; Rizzi, Massimo; Roalf, David; Robb, Catherine; Roberson, Erik; Robieson, Weining; Rocca-Serra, Philippe; Rodrigues, Marcos Antonio; Rodriguez, Alain; Aguiar, Güise Lorenzo Rodríguez; Rodriguez-Sanchez, Antonio; Rodriguez-Vieitez, Elena; Roes, Meighen; Rogalski, Emily; Rogers, James; Rogers, Baxter; Rohani, Hosna; Rollins, Carin; Rollo, Jenny; Romanillos, Adrian; Romero, Marcelo; Romero, Klaus; Rominger, Axel; Rondina, Jane; Ronquillo, Jeremiah; Roohparvar, Sanaz; Rosand, Jonathan; Rose, Gregory; Roshchupkin, Gennady; Rosoce, Jeremy; Ross, David; Ross, Joel; Ross, Owen; Rossi, Stephanie; Roussarie, Jean-Pierre; Roy, Arkaprava; Roy, Snehashis; Ruble, Cara; Rubright, Jonathan; Rudovic, Ognjen; Ruggiero, Denise; Rui, Qiao; Ruiz, Pablo; Rullmann, Michael; Rusmevichientong, Pimbucha; Russell, Rolf; Rutten, Julie; Saadatmand-Tarzjan, Mahdi; Saba, Valiallah; Sabuncu, Mert; Sacuiu, Simona; Sampathkumar, Srihari Sadhu; Sadikhov, Shamil; Saeedi, Sarah; Saf, Naz; Safapur, Alireza; Safi, Asad; Saint-Aubert, Laure; Saito, Noboru; Saito, Naomi; Sakata, Muneyuki; Frigerio, Carlo Sala; Sala-Llonch, Roser; Salah, Zainab; Salamanca, Luis; Salat, David; Salehzade, Mahdi; Salter, Hugh; Samatova, Nagiza; Sampat, Mehul; Gonzalez, Jorge Samper; Samtani, Mahesh; Samuel, Pearl; Bohorquez, Sandra Sanabria; Sanbao, Cheng; Sanchez, Iñigo; Sánchez, Irina; Sandella, Nick; Sanderlin, Ashley Hannah; Sanders, Elizabeth; Sankar, Tejas; Sanroma, Gerard; Sanson, Horacio; Santamaria, Mar; de Lourdes, Daniella; de Andrade, Luna Santana; Santhanam, Prasanna; Ribeiro, Andre Santos; Sardi, Pablo; Sardina, Davide; Saremi, Arvin; Sarica, Alessia; Sarnowski, Chloé; Sarraf, Saman; Saslow, Adam; Sato, Takayuki; Sato, Joao; Sattler, Sophia; Savic, Milos; Saxon, Jillian; Saya, Boson; Saykin, Andrew; Sbeiti, Elia; Scarapicchia, Vanessa; Scelsi, Marzia Antonella; Schaerer, Joel; Scharre, Douglas; Scherr, Martin; Schevenels, Klara; Schibler, Tony; Schiller, Florian; Schirmer, Markus; Schmansky, Nick; Schmidt, Marco; Schmidt, Paul; Schmitz, Taylor; Schmuker, Michael; Schneider, Anja; Schneider, Reinhard; Schoemaker, Dorothee; Schöll, Michael; Schouten, Tijn; Schramm, Hauke; Schreiber, Frank; Schultz, Timothy; Schultz, Aaron; Schürmann, Heike; Schwab, Patrick; Schwartz, Pamela; Schwarz, Adam; Schwarz, Christopher; Schwarzbauer, Christian; Scott, Julia; Scott, F. Jeffrey; Scott, David; Scussel, Artur; Seale, William; Seamons, John; Seemiller, Joseph; Sekine, Tetsuro; Selnes, Per; Sembritzki, Klaus; Senanayake, Vijitha; Seneca, Nicholas; Senjem, Matthew; Filho, Antonio Carlos Senra; Sensi, Stefano; Seo, Eun Hyun; Seo, Kangwon; Seong, Sibaek; Sepeta, Leigh; Seraji-Bozorgzad, Navid; Serra-Cayuela, Arnau; Seshadri, Sudha; Sgouros, Nicholas; Sha, Miao; Shackman, Alexander; Shafee, Rebecca; Shah, Rupali; Shah, Hitul; Shahid, Mohammad; Shahparian, Nastaran; Shakeri, Mahsa; Shams, Sara; Shams, Ali; Baboli, Aref Shams; Shamul, Naomi; Shan, Guogen; Shang, Yuan; Shao, Rui; Shao, Hanyu; Shao, Xiaozhe; Shaoxun, Yuan; Noghabi, Hossein Sharifi; Sharlene, Newman; Sharma, Avinash; Sharma, Ankita; Sharma, Aman; Shaw, Leslie; Shaw, Saurabh; Shcherbinin, Sergey; Sheline, Yvette; Shen, Li; Shen, Yanhe; Shen, Qian; Sherriff, Ian; Shi, Xin; Shi, Lei; Shi, Yonggang; Shi, Yue; Shi, Yupan; Shi, Jie; Shi, Feng; Shiban, Nisreen; Shields, Trevor; Shiiba, Takuro; Shiino, Akihiko; Shin, Peter; Shin, Hoo Chang; Shin, Daniel; Shine, James; Shinohara, Russell; Shirakashi, Yoshitomo; Shirali, Ramin; Shirer, William; Shiva, Karthik; Shmuel, Amir; Shojaei, Zahra; Shojaei, Samane; Shokouhi, Sepideh; Short, Jennifer; Shu, Qing; Shu, Ziyu; Shu, Hao; Shu, Xinghui; Shukla, Rahul; Sibilia, Francesca; Sikka, Apoorva; Rincón, Santiago Smith Silva; Silveira, Margarida; Simon, Howard; Simonneau, Michel; Simonovsky, Martin; Singanamalli, Asha; Singh, TirathaRaj; Singh, Ambuj; Singh, Satya; Singlelob, John; Sinha, Sampada; Sipko, Maciej; Sistla, Kamala; Sivera, Raphael; Skillbäck, Tobias; Skocik, Michael; Slade, Emily; Smisek, Miroslav; Smith, Louise; Smith, Emily; Smith, Elliot; Smith, Lidia; de Lima, John Wesley Soares; Soemedi, Rachel; Sohail, Aamir; Soheili-Nezhad, Sourena; Sokolow, Sophie; Sokurenko, Maria; Soldan, Anja; Soman, Salil; Sone, Je Yeong; Song, Joonyoung; Song, Xiaowei; Soni, Ameet; Soni, Priyank; Sonkar, Gaurav; Sonmez, Ege; Sonpatki, Pranali; Sorooshyari, Siamak; Diaz, Roberto Carlos Sotero; Sotolongo-Grau, Oscar; Sou, Ka Lon; Soursou, Georgia; Spampinato, Maria Vittoria; Spedding, Alexander; Spenger, Christian; Spiegel, Jonathan; Spiegel, RenÃ; Spies, Lothar; Spiro, Oliver; Spooner, Annette; Springate, Beth; Spronk, Marjolein; Squillario, Margherita; Sreenivasan, Karthik; Srikanth, Velandai; Srinivasan, Sneha; Srivastava, Mashrin; Srivastava, Anant; Srivatsa, Shantanu; Stage, Eddie; Stanley-Olson, Alexis; Steenland, Nelson; Steffener, Jason; Steyvers, Mark; Stickel, Ariana; Stone, David; Storkey, Amos; Storrs, Judd; Straminsky, Axel; Strittmatter, Stephen; Su, Yi; Sudmann-Day, Matthew; Sudre, Carole; Sudsanguan, Salintip; Sugishita, Morihiro; Suh, Devin; Suk, Heung-Il; Sulimov, Pavel; Sullivan, Margot; Sullivan, Kenneth; Sullivan, Jenna; Sumbaly, Ronak; Sun, Liyan; Sun, Xinwei; Sun, Haoran; Sun, Chung-Kai; Sun, Yongcong; Sun, Yu; Sun, Mingjie; Sun, Qian; Sun, Zeyu; Sun, Liang; Sun, Xiaoyan; Sun, Wei; Sundaramoorthy, Karthik Prakash; Sundaresan, Mali; Sunderland, John; Sundermann, Erin; Sunkishala, Raja; Surampudi, Govinda; Surampudi Venkata, Suresh Kumar; Surendran, Neha; Suresh, Adarsh; Suryavanshi, Priya; Susi, Gianluca; Suthaharan, Praveen; Sutphen, Courtney; Swati, Zar Nawab Khan; Sweet, Robert; Swinford, Cecily; Syaifullah, Ali Haidar; Szoeke, Cassandra; Sørensen, Lauge; Cuenco, Karen T.; Jafari, Hossein Tabatabaei; Tadayon, Ehsan; Taebi, Yasaman; Tahaei, Marzieh S.; Tahmasebi, Amir; Tai, Leon; Takahashi, Ryoji; Takahashi, Ryuichi; Takahashi, Hideyuki; Takao, Hidemasa; Takeuchi, Tomoko; Talib, Sophie; Taljan, Kyle; Tam, Angela; Tam, Roger; Tamang, Kishan; Tan, Chin Hong; Tan, Luqiao; Tan, Lin; Tan, Tian Swee; Tancredi, Daniel; Tanenbaum, Aaron; Tang, Yucong; Tang, Xiaoying; Tang, Chuangao; Tang, Cheng; Tang, Lingkai; Tang, Min; Tang, Hao; Tanigaki, Kenji; Tanoori, Betsabeh; Tansey, Wesley; Tantiwetchayanon, Khajonsak; Tanveer, M.; Tao, Qiushan; Tao, Chong; Tarawneh, Rawan; Tarnow, Eugen; Tartaglia, Maria Carmela; Tasaki, Shinya; Taswell, Koby; Taswell, Carl; Tatsuoka, Curtis; Taylan, Pakize; Taylor, Jonathan; Taylor, Brad; Tayubi, Iftikhar; Tchistiakova, Ekaterina; tee, Yee Kai; Teipel, Stefan; Temizer, Leyla; Kate, Mara Ten; Tenbergen, Carlijn; Tenenbaum, Jessica; Teng, Zi; Teng, Yuan-Ching; Teng, Edmond; Termenon, Maite; Terry, Eloise; Thaker, Ashesh; Theobald, Chuck; Thiel, Taylor; Thiele, Ines; Thiele, Frank; Thierry, Jean Pierre; Thirunavu, Vineeth; Thomas, Chris; Thomas, Kelsey; Thomas, Anoop Jacob; Thomas, Benjamin; Thomas, Ronald; Thomas, Adam; Thomopoulos, Sophia; Thompson, Gerard; Thompson, Jeff; Thompson, Will; Thompson, Paul; Thung, Kimhan; Tian, Sijia; Tierney, Mary; Tilquin, Florian; Tingay, Karen; Tirrell, Lee; Tirumalai, Sindhuja; Tobis, Jonathan; Todkari, Suhasini; Tohka, Jussi; Tokuda, Takahiko; Toledo, Juan B.; Toledo, Jon; Tolonen, Antti; Tombari, Federico; Tomiyama, Tetsuro; Tomola, Lauren; Tong, Yunjie; Tong, Liz; Tong, Li; Tong, Xiaoran; Torgerson, Carinna; Toro, Roberto; Torok, Levente; Toschi, Nicola; Tosto, Giuseppe; Tosun, Duygu; Tourandaz, Morteza; Toussaint, Paule; Towhidi, Sasan Maximilian; Towler, Stephen; Toyama, Teruhide; Tractenberg, Rochelle E.; Tran, Thao; Tran, Daniel; Trapani, Benjamin; Tremolizzo, Lucio; Tripathi, Shashi; Trittschuh, Emily; Trivedi, Ashish; Trojacanec, Katarina; Truong, Dennis; Tsanas, Athanasios; Tse, Kai-Hei; Tsoy, Elena; Tu, Yanshuai; Tubeleviciute-Aydin, Agne; Tubi, Meral; Tucholka, Alan; Tufail, Ahsan; Tumati, Shankar; Tuo, Shouheng; Tuovinen, Timo; Tustison, Nicholas; Tutunji, Rayyan; Tward, Daniel; Tyagi, Gaurav; Tzioras, Nikolaos; Raghavendra, U.; Uberti, Daniela; Uchiyama, Yoshikazu; Ueki, Masao; Ulug, Aziz; Umek, Robert; University, Northwestern; de Almeida, Sofia Urioste Y. Nunes; Urrutia, Leandro; Usama, Ahmed; Ustun, Ali Alp; Uus, Alena; Uyar, Muharrem Umit; Visalatchi, V.; Rajinikanth, V.; Vafaei, Amin; Vairre, Darlene; Vaishnavi, Sanjeev; Vaithinathan, Krishnakumar; Vakorin, Vasily; Hernández, Maria Valdés; van Bokhoven, Pieter; Deerlin, Vivianna Van; van der Brug, Marcel; Dijk, Koene Van; van Duijn, Cornelia; van Erp, Theo; van Hooren, Roy; Leemput, Koen Van; van Loenhoud, Anita; Schependom, Jeroen Van; van Velden, Floris; van Westen, Danielle; Vandekar, Simon; Vandijck, Manu; Vanhoutte, Matthieu; Vannini, Patrizia; Vansteenkiste, Elias; Varatharajah, Yogatheesan; Vardarajan, Badri; Varey, Stephen; Vargas, Hernan; Varkey, Julia; Varma, Susheel; Varma, Vijay; Varma, Sudhr; Vasanthakumar, Aparna; Vashi, Tejal; Vasilchuk, Kseniia; Vassileva, Albena; Vatsalan, Dinusha; Vb, Nastaran; Veeramacheneni, Teja; Veeranah, Darvesh; Vejdani, Kaveh; Veldsman, Michele; Velgos, Stefanie; Veloso, Adriano; Vemuri, Prashanthi; Venero, Cesar; Venkataraman, Ashwin; Venkatasubramanian, Palamadai; Venkatraghavan, Vikram; Venugopal, Vinisha; Venugopalan, Janani; Verbeeck, Rudi; Verbel, David; Verbist, Bie; Verdoliva, Luisa; Verma, Ajay Kumar; Verma, Tarun; Verma, Ishan; Veronese, Mattia; Grabovetsky, Alejandro Vicente; Victor, Jonathan; Vieira, Domingos; Vijayaraj, Vinesh Raja; Vikas, Vinutha; Vilaplana, Veronica; Vilaplana, Eduard; Villar, José Ramón; Vincent, Fabrice; Vinkler, Mojmir; Viswanath, Satish; Viswanathan, Srikrishnan; Vitek, Michael; Viti, Mario; Vladutu, Liviu; Vlock, Daniel; Voineskos, Aristotle; Vora, Anvi; Vos, Stephanie; Voyle, Nicola; Vrenken, Hugo; Vu, Tien Duong; Vucetic, Zivjena; Vuksanovic, Vesna; Wachinger, Christian; Wada, Masataka; Wade, Sara; Wagstyl, Konrad; Wahba, Grace; Waldorf, Johannes; Walker, Douglas; Moore, Kim Poki Walker; Walsh, Dominic; Wan, Lin; Wang, Di; Wang, Jane-Ling; Wang, Yongmao; Wang, Huaming; Wang, Miao; Wang, Zi-Rui; Wang, Zheyu; Wang, Z. E.; Wang, Lucy; Wang, Bin; Wang, Lei; Wang, Jason; Wang, Cathy; Wang, Jing; Wang, Xiuyuan; Wang, Dai; Wang, Lingyu; Wang, Jianjia; Wang, Yuan; Wang, Yujiang; Wang, Ming-Liang; Wang, De; Wang, Ling; Wang, Liangliang; Wang, Jianxin; Wang, Zhanyu; Wang, William Shi-Yuan; Wang, HuiFu; Wang, Weixin; Wang, Zhenxun; Wang, Wei; Wang, Junwen; Wang, Yipei; Wang, Shanshan; Wang, Yinying; Wang, Chengjia; Wang, Yuanjia; Wang, Kerry; Wang, Li-San; Wang, Kangcheng; Wang, Rui; Wang, Kai; Wang, Qian; Wang, Xinying; Wang, Xinglong; Wang, Jeff; Wang, Tianyi; Wang, Honglang; Wang, Xuekuan; Wang, Yongxiang; Wang, Hong; Wang, Silun; Waring, Stephen; Warren, David; Wasule, Vijay; Watanabe, Yoshiyuki; Wearn, Alfie; Wee, Chong-Yaw; Wegmayr, Viktor; Wehenkel, Marie; Wei, Rizhen; Wei, Zheng; Wei, Penghu; Wei, Yongbin; Wei, Guohui; Wei, Changshuai; Weichart, Emily; Weiler, Marina; Weise, Christopher; Weisong, Zhong; Weisshuhn, Philip; Weizheng, Yan; Wen, Canhong; Wen, Junhao; Wen, Wei; Wen, Zhenfu; Wen, Hao; Wenzel, Fabian; Werhane, Madeleine; Westaway, Shawn; Westlye, Lars T.; Westman, Eric; Whardana, Adithya; Whitcher, Brandon; Whittington, Alexander; Wicks, Stephen; Wiens, Jenna; Wildsmith, Kristin; Wilhelmsen, Kirk; Wilkinson, Andrea; Willette, Auriel; Williams, Kristin; Williams, Robert; Williams, Rebecca; Wilman, Alan; Wilmot, Beth; Wilson, Lorraine; Win, Juliet; Windpass, F. C.; Wink, Alle Meije; Winter, Nils; Winzeck, Stefan; Wirth, Miranka; Wishart, Heather; Wisniewski, Gary; Wiste, Heather; Wolpe, Noham; Wolz, Robin; Wong, Stephen; Wong, Swee Seong; Wong, Tak-Lam; Woo, Jongwook; Woo, Taekang; Woo, Young; Wood, Levi; Worth, Andrew; Wrenn, Jesse; Wright, Paul; Wu, Guorong; Wu, Lynn; Wu, Shawn; Wu, Menglin; Wu, Ruige; Wu, Shaoju; Wu, Chong; Wu, Juhao; Wu, Liyun; Wu, Yu-Te; Wu, Yuankai; Wu, Helen; Xia, Weiming; Xiang, Xu; Xiangmao, Kong; Xiao, Yiming; Xiao, Jie; Xiao, Y. U.; Xiaoxi, Ji; Xiaoya, Zhu; Xiaoying, Qi; Xie, Yuchen; Xie, Zhiyong; Xie, Lei; Xie, Xiancheng; Xin, Huang; Xingyi, Huang; Xiong, Yuanpeng; Xiong, Momiao; Xu, Yongchao; Xu, XiaoYing; Xu, Qiqi; Xu, Lijun; Xu, Hewen; Xu, Yunlong; Xu, Zhilei; Xu, Ziliang; Xu, Jiayuan; Xu, Yadong; Xu, Lu; Xu, Shuoyu; Xue, Fei; Xuesong, Yang; Xz, Zarric; Yadav, Rishi; Yaish, Aviv; Yakushev, Igor; Yamada, Shigeki; Yamamoto, Utako; Yamashita, Alexandre; Yamashita, Fumio; Yan, Li; Yan, Yu; Yan, Jianhua; Yan, Shiju; Yan, Chao-Gan; Yan, Qingyu; Yan, Jingwen; Yan, Chen; Yan, Meng; Yang, Meng; Yang, Bin; Yang, Jiarui; Yang, Zhi; Yang, Xianfeng; Yang, Sli; Yang, Liang; Yang, Robert; Yang, Aleex; Yang, Hyungjeong; Yang, ChengHao; Yang, Haiwei; Yang, Jhih-Ying; Yang, Xu; Yangyang, Xia; Yao, Xufeng; Yaping, Wang; Yaqiong, Bi; Yared, Surafael; Yashin, Anatoliy; Yassine, Hussein; Yau, Tat; Yavorsky, Christian; Ye, Chang; Ye, Byoung Seok; Ye, Joy; Ye, Yongkai; Ye, Yuting; Ye, Wu; Yelampalli, Praveen Kumar Reddy; Thomas Yeo, B. T.; Yi, Zhao; Yi, Wang; Yi, Yuan; Yijing, Ruan; Yilmaz, Zeynep; Yin, Baocai; Yin, Tang-Kai; Ying, Li; Yingjiang, Wu; Yiyun, Yu; Yoichiro, Sato; Yokoyama, Jennifer; Yong, Zhang; Yonghong, Shi; Yonghu, Guo; Yongqi, Huang; Yoo, Inwan; Yoon, So Hoon; Yoon, Jee Seok; Yoon, Seung-Yong; Yoshida, Hisako; Yoshio, Kiyofumi; You, Jia; You, You; You, Xiaozhen; Young, Alexandra; Yu, Peng; Yu, Jaemin; Yu, Lin; Yu, Sui; Yu, Philip S.; Yu, Guan; Yu, Fengli; Yu, Jiaxin; Yu, Shaode; Yu, Suizhi; Yu, Donghyeon; Yuan, Yue; Yuan, Shaofeng; Yuan, Shuai; Yuanyuan, Chen; Yue, Ye; Yue, Cynthia; Yunaiyama, Daisuke; YushaoChen, YushaoChen; Yushkevich, Paul; Yx, W.; Zafeiris, Dimitrios; Zagorchev, Lyubomir; Zalocusky, Kelly; Zamorano, Francisco; Zandifar, Azar; Zanella, Laura; Zang, Yufeng; Zanke, Brent; Zaranek, Alexander Wait; Zawaideh, Mazen; Zawawi, Nour; Zee, Jarcy; Zeighami, Yashar; Zeitzer, Jamie; Zemla, Jeffrey; Zeng, Qi; Zeng, Fan; Zeng, Donglin; Zeng, Wei; Zeng, Yingying; Ženko, Bernard; Zereshki, Ehsan; Zeskind, Benjamin; Zhan, Justin; Zhang, Chenghui; Zhang, Yixuan; Zhang, Xiong; Zhang, Li; Zhang, Zhi; Zhang, Jianlun; Zhang, Jing; Zhang, Jianwei; Zhang, Yufei; Zhang, Sai; Zhang, Shan; Zhang, Xiaoling; Zhang, Changle; Zhang, Qingtian; Zhang, Fan; Zhang, Xiangliang; Zhang, Linda; Zhang, Yingteng; Zhang, Jianhua; Zhang, Xiaoqun; Zhang, Ziwei; Zhang, Ping; Zhang, Tuo; Zhang, Bin; Zhang, Hong; Zhang, Yuping; Zhang, Zhan; Zhang, Yu; Zhang, Jie; Zhang, Lijun; Zhang, ChengZhi; Zhang, Jian; Zhang, Peng; Zhang, Zhengjun; Zhang, Wen; Zhang, Guishan; Zhang, Xixue; Zhang, Tianhao; Zhangyi, Zhangyi; Zhao, Wenting; Zhao, Xuewu; Zhao, Peng; Zhao, Yifei; Zhao, Xing-Ming; Zhao, Di; Zhao, Qian; Zhao, Yang; Zhao, Lu; Zheng, Lijuan; Zheng, Kaiping; Zheng, Weihao; Zheng, Du; Zheng, Muhua; Zheng, Qiang; Zheng, Bichen; Zheng, Lihong; Zhong, Wenxuan; Zhong, Yujia; Zhou, Tian; Zhou, Jiayin; Zhou, Zhen; Zhou, Yongxia; Zhou, Lixin; Zhou, Bowei; Zhou, Juan; Zhou, Qixin; Zhou, Levi; Zhou, Fengfeng; Zhou, Jiayu; Zhou, Luping; Zhou, Yun; Zhou, Yingjie; Zhou, Ying; Zhou, Frankie; Zhu, Zonghai; Zhu, Xiaoya; Zhu, Xiaolu; Zhu, Shanfeng; Zhu, David; Zhu, Hongxiao; Zhu, Lida; Zhu, Xiaofeng; Zhuxin, Jin; Zigon, Robert; Zille, Pascal; Zimmer, Eduardo; Zimmer, Jennifer; Zimmerman, Earl; Zimmerman, Karl; Zimmermann, Joelle; Zipperer, Erin; Zito, Giancarlo; Zou, Yang; Zuo, Maria; Zywiec, Andrew

    2017-01-01

    Neuroimaging measurements derived from magnetic resonance imaging provide important information required for detecting changes related to the progression of mild cognitive impairment (MCI). Cortical features and changes play a crucial role in revealing unique anatomical patterns of brain regions,

  7. Imaging the neural effects of cognitive bias modification training

    NARCIS (Netherlands)

    Wiers, C.E.; Wiers, R.W.

    Cognitive bias modification (CBM) was first developed as an experimental tool to examine the causal role of cognitive biases, and later developed into complementary interventions in experimental psychopathology research. CBM involves the "re-training" of implicit biases by means of multiple trials

  8. ARMA processing for NDE ultrasonic imaging

    International Nuclear Information System (INIS)

    Pao, Y.H.; El-Sherbini, A.

    1984-01-01

    This chapter describes a new method for acoustic image reconstruction for an active multiple sensor system operating in the reflection mode in the Fresnel region. The method is based on the use of an ARMA model for the reconstruction process. Algorithms for estimating the model parameters are presented and computer simulation results are shown. The AR coefficients are obtained independently of the MA coefficients. It is shown that when the ARMA reconstruction method is augmented with the multifrequency approach, it can provide a three-dimensional reconstructed image with high lateral and range resolutions, high signal to noise ratio and reduced sidelobe levels. The proposed ARMA reconstruction method results in high quality images and better performance than that obtainable with conventional methods. The advantages of the method are very high lateral resolution with a limited number of sensors, reduced sidelobes level, and high signal to noise ratio

  9. MIDAS - ESO's new image processing system

    Science.gov (United States)

    Banse, K.; Crane, P.; Grosbol, P.; Middleburg, F.; Ounnas, C.; Ponz, D.; Waldthausen, H.

    1983-03-01

    The Munich Image Data Analysis System (MIDAS) is an image processing system whose heart is a pair of VAX 11/780 computers linked together via DECnet. One of these computers, VAX-A, is equipped with 3.5 Mbytes of memory, 1.2 Gbytes of disk storage, and two tape drives with 800/1600 bpi density. The other computer, VAX-B, has 4.0 Mbytes of memory, 688 Mbytes of disk storage, and one tape drive with 1600/6250 bpi density. MIDAS is a command-driven system geared toward the interactive user. The type and number of parameters in a command depends on the unique parameter invoked. MIDAS is a highly modular system that provides building blocks for the undertaking of more sophisticated applications. Presently, 175 commands are available. These include the modification of the color-lookup table interactively, to enhance various image features, and the interactive extraction of subimages.

  10. Illuminating magma shearing processes via synchrotron imaging

    Science.gov (United States)

    Lavallée, Yan; Cai, Biao; Coats, Rebecca; Kendrick, Jackie E.; von Aulock, Felix W.; Wallace, Paul A.; Le Gall, Nolwenn; Godinho, Jose; Dobson, Katherine; Atwood, Robert; Holness, Marian; Lee, Peter D.

    2017-04-01

    Our understanding of geomaterial behaviour and processes has long fallen short due to inaccessibility into material as "something" happens. In volcanology, research strategies have increasingly sought to illuminate the subsurface of materials at all scales, from the use of muon tomography to image the inside of volcanoes to the use of seismic tomography to image magmatic bodies in the crust, and most recently, we have added synchrotron-based x-ray tomography to image the inside of material as we test it under controlled conditions. Here, we will explore some of the novel findings made on the evolution of magma during shearing. These will include observations and discussions of magma flow and failure as well as petrological reaction kinetics.

  11. Effect of Cognitive Processing Therapy and Holographic Reprocessing on Reduction of Posttraumatic Cognitions in Students Exposed to Trauma

    Directory of Open Access Journals (Sweden)

    Parviz molavi

    2011-10-01

    Full Text Available "nObjective: This research was conducted to examine the effect of cognitive processing therapy and holographic reprocessing on the reduction of posttraumatic cognitions in students exposed to trauma. "nMethod: This was an experimental study with spread pretest-posttest randomized groups design. Statistical society of this research consisted of male freshman, junior and senior high school students of Uremia (N=10286. Utilizing Traumatic Events Screening Inventory, and SCL-90 R on 1000 randomly selected high school students, 129 students were recognized as having experienced traumatic events. Of the subjects, 60 were selected randomly. Then, clinical interview was conducted, and the selected sample was randomly assigned in to three groups of cognitive processing therapy, holographic reprocessing and control. These groups responded to Posttraumatic Cognitions Inventory in pretest and post test. Differences of pre-post test scores were analyzed using one way ANOVA and Scheffe test. "nResults: The results demonstrated significant differences between the three groups in total score of the Posttraumatic Cognition Inventory. Difference was also observed in negative cognitions on self and self-blame dimensions. Furthermore, these two therapeutic methods were equally effective in the reduction of posttraumatic cognitions.   "nConclusion: It appears that cognitive processing therapy and holographic reprocessing which had been originally developed and tested for sexually assaulted females, can also be applied for the victims of other traumatic events, particularly  adolescents.

  12. Neural predictors and mechanisms of cognitive behavioral therapy on threat processing in social anxiety disorder.

    Science.gov (United States)

    Klumpp, Heide; Fitzgerald, Daniel A; Phan, K Luan

    2013-08-01

    Cognitive behavioral therapy (CBT) is "gold standard" psychotherapy for social anxiety disorder (SAD). Cognitive models posit that preferential processing of threat mediates excessive forms of anxiety, which is supported by exaggerated amygdala, insula, and cortical reactivity to threatening socio-emotional signals in SAD. However, little is known about neural predictors of CBT success or the mechanisms by which CBT exerts its therapeutic effects. Functional magnetic resonance imaging (fMRI) was conducted during responses to social signals of threat (fearful/angry faces) against positive signals (happy faces) in 14 patients with SAD before and after 12 weeks of CBT. For comparison, 14 healthy control (HC) participants also underwent two fMRI scans, 12 weeks apart. Whole-brain voxel-wise analyses showed therapeutic success was predicted by enhanced pre-treatment activation to threatening faces in higher-order visual (superior and middle temporal gyrus), cognitive, and emotion processing areas (dorsal anterior cingulate cortex, dorsomedial prefrontal cortex). Moreover, a group by time interaction was revealed in prefrontal regions (dorsomedial, medial gyrus) and insula. The interaction was driven by relatively greater activity during threat processing in SAD, which significantly reduced after CBT but did not significantly predict response to CBT. Therefore, pre-treatment cortical hyperactivity to social threat signals may serve as a prognostic indicator of CBT success in SAD. Collectively, CBT-related brain changes involved a reduction in activity in insula, prefrontal, and extrastriate regions. Results are consistent with cognitive models, which associate decreases in threat processing bias with recovery. Copyright © 2013 Elsevier Inc. All rights reserved.

  13. Bridging consciousness and cognition in memory and perception: evidence for both state and strength processes.

    Science.gov (United States)

    Aly, Mariam; Yonelinas, Andrew P

    2012-01-01

    Subjective experience indicates that mental states are discrete, in the sense that memories and perceptions readily come to mind in some cases, but are entirely unavailable to awareness in others. However, a long history of psychophysical research has indicated that the discrete nature of mental states is largely epiphenomenal and that mental processes vary continuously in strength. We used a novel combination of behavioral methodologies to examine the processes underlying perception of complex images: (1) analysis of receiver operating characteristics (ROCs), (2) a modification of the change-detection flicker paradigm, and (3) subjective reports of conscious experience. These methods yielded converging results showing that perceptual judgments reflect the combined, yet functionally independent, contributions of two processes available to conscious experience: a state process of conscious perception and a strength process of knowing; processes that correspond to recollection and familiarity in long-term memory. In addition, insights from the perception experiments led to the discovery of a new recollection phenomenon in a long-term memory change detection paradigm. The apparent incompatibility between subjective experience and theories of cognition can be understood within a unified state-strength framework that links consciousness to cognition across the domains of perception and memory.

  14. The cognitive processing of film and musical soundtracks.

    Science.gov (United States)

    Boltz, Marilyn G

    2004-10-01

    Previous research has demonstrated that musical soundtracks can influence the interpretation, emotional impact, and remembering of film information. The intent here was to examine how music is encoded into the cognitive system and subsequently represented relative to its accompanying visual action. In Experiment 1, participants viewed a set of music/film clips that were either congruent or incongruent in their emotional affects. Selective attending was also systematically manipulated by instructing viewers to attend to and remember the music, film, or both in tandem. The results from tune recognition, film recall, and paired discrimination tasks collectively revealed that mood-congruent pairs lead to a joint encoding of music/film information as well as an integrated memory code. Incongruent pairs, on the other hand, result in an independent encoding in which a given dimension, music or film, is only remembered well if it was selectively attended to at the time of encoding. Experiment 2 extended these findings by showing that tunes from mood-congruent pairs are better recognized when cued by their original scenes, while those from incongruent pairs are better remembered in the absence of scene information. These findings both support and extend the "Congruence Associationist Model" (A. J. Cohen, 2001), which addresses those cognitive mechanisms involved in the processing of music/film information.

  15. Cholinergic modulation of cognitive processing: insights drawn from computational models

    Directory of Open Access Journals (Sweden)

    Ehren L Newman

    2012-06-01

    Full Text Available Acetylcholine plays an important role in cognitive function, as shown by pharmacological manipulations that impact working memory, attention, episodic memory and spatial memory function. Acetylcholine also shows striking modulatory influences on the cellular physiology of hippocampal and cortical neurons. Modeling of neural circuits provides a framework for understanding how the cognitive functions may arise from the influence of acetylcholine on neural and network dynamics. We review the influences of cholinergic manipulations on behavioral performance in working memory, attention, episodic memory and spatial memory tasks, the physiological effects of acetylcholine on neural and circuit dynamics, and the computational models that provide insight into the functional relationships between the physiology and behavior. Specifically, we discuss the important role of acetylcholine in governing mechanisms of active maintenance in working memory tasks and in regulating network dynamics important for effective processing of stimuli in attention and episodic memory tasks. We also propose that theta rhythm play a crucial role as an intermediary between the physiological influences of acetylcholine and behavior in episodic and spatial memory tasks. We conclude with a synthesis of the existing modeling work and highlight future directions that are likely to be rewarding given the existing state of the literature for both empiricists and modelers.

  16. Instructional Style, Cognitive Processing, and Achievement Behavior Patterns of Schoolchildren

    Directory of Open Access Journals (Sweden)

    Atasi Mohanty

    2015-03-01

    Full Text Available The objective of the study was to examine the performance characteristics and differences between English and Oriya medium school children on various cognitive processing, reading, academic achievement, and teacher perception measures. The sample consists of 243 schoolchildren, 120 from Grade IV and 123 from Grade VII from three different schools of Cuttack city in Orissa, India. The children were individually administered the Figure-Copying, Raven’s Progressive Matrices, Matching Familiar Figure Task, Serial Recall, Digit-Span, Wechsler’s Intelligence Scale for Children, Block Design, Cloze Reading Comprehension, and Oral Reading tasks. Classroom Achievement scores on different subjects and the teachers’ ratings about their students were also taken. Results revealed that children reading in English medium schools outperformed their Oriya medium counterparts in some cognitive measures such as Figure Copying, MFFT, RPM, and Digit-Span tasks irrespective of levels. However, the children studying in Oriya medium schools scored higher in Reading Comprehension task and commit less error compared with their English medium counterparts. However, in case of academic achievement measures at primary level, the Oriya medium children performed better in social science, whereas the English medium students excelled in first language and mathematics. The teachers of Oriya medium schools also rated their children better in general conduct, motivation, and effort in schoolwork, whereas, at the secondary level, there was no difference between these two groups in academic achievement or teacher perception measures.

  17. Developmental lead exposure has mixed effects on butterfly cognitive processes.

    Science.gov (United States)

    Philips, Kinsey H; Kobiela, Megan E; Snell-Rood, Emilie C

    2017-01-01

    While the effects of lead pollution have been well studied in vertebrates, it is unclear to what extent lead may negatively affect insect cognition. Lead pollution in soils can elevate lead in plant tissues, suggesting it could negatively affect neural development of insect herbivores. We used the cabbage white butterfly (Pieris rapae) as a model system to study the effect of lead pollution on insect cognitive processes, which play an important role in how insects locate and handle resources. Cabbage white butterfly larvae were reared on a 4-ppm lead diet, a concentration representative of vegetation in polluted sites; we measured eye size and performance on a foraging assay in adults. Relative to controls, lead-reared butterflies did not differ in time or ability to search for a food reward associated with a less preferred color. Indeed, lead-treated butterflies were more likely to participate in the behavioral assay itself. Lead exposure did not negatively affect survival or body size, and it actually sped up development time. The effects of lead on relative eye size varied with sex: lead tended to reduce eye size in males, but increase eye size in females. These results suggest that low levels of lead pollution may have mixed effects on butterfly vision, but only minimal impacts on performance in foraging tasks, although follow-up work is needed to test whether this result is specific to cabbage whites, which are often associated with disturbed areas.

  18. Cognitive Representations and Cognitive Processing of Team-Specific Tactics in Soccer

    Science.gov (United States)

    Lex, Heiko; Essig, Kai; Knoblauch, Andreas; Schack, Thomas

    2015-01-01

    Two core elements for the coordination of different actions in sport are tactical information and knowledge about tactical situations. The current study describes two experiments to learn about the memory structure and the cognitive processing of tactical information. Experiment 1 investigated the storage and structuring of team-specific tactics in humans’ long-term memory with regard to different expertise levels. Experiment 2 investigated tactical decision-making skills and the corresponding gaze behavior, in presenting participants the identical match situations in a reaction time task. The results showed that more experienced soccer players, in contrast to less experienced soccer players, possess a functionally organized cognitive representation of team-specific tactics in soccer. Moreover, the more experienced soccer players reacted faster in tactical decisions, because they needed less fixations of similar duration as compared to less experienced soccer players. Combined, these experiments offer evidence that a functionally organized memory structure leads to a reaction time and a perceptual advantage in tactical decision-making in soccer. The discussion emphasizes theoretical and applied implications of the current results of the study. PMID:25714486

  19. Cognitive representations and cognitive processing of team-specific tactics in soccer.

    Directory of Open Access Journals (Sweden)

    Heiko Lex

    Full Text Available Two core elements for the coordination of different actions in sport are tactical information and knowledge about tactical situations. The current study describes two experiments to learn about the memory structure and the cognitive processing of tactical information. Experiment 1 investigated the storage and structuring of team-specific tactics in humans' long-term memory with regard to different expertise levels. Experiment 2 investigated tactical decision-making skills and the corresponding gaze behavior, in presenting participants the identical match situations in a reaction time task. The results showed that more experienced soccer players, in contrast to less experienced soccer players, possess a functionally organized cognitive representation of team-specific tactics in soccer. Moreover, the more experienced soccer players reacted faster in tactical decisions, because they needed less fixations of similar duration as compared to less experienced soccer players. Combined, these experiments offer evidence that a functionally organized memory structure leads to a reaction time and a perceptual advantage in tactical decision-making in soccer. The discussion emphasizes theoretical and applied implications of the current results of the study.

  20. Cognitive representations and cognitive processing of team-specific tactics in soccer.

    Science.gov (United States)

    Lex, Heiko; Essig, Kai; Knoblauch, Andreas; Schack, Thomas

    2015-01-01

    Two core elements for the coordination of different actions in sport are tactical information and knowledge about tactical situations. The current study describes two experiments to learn about the memory structure and the cognitive processing of tactical information. Experiment 1 investigated the storage and structuring of team-specific tactics in humans' long-term memory with regard to different expertise levels. Experiment 2 investigated tactical decision-making skills and the corresponding gaze behavior, in presenting participants the identical match situations in a reaction time task. The results showed that more experienced soccer players, in contrast to less experienced soccer players, possess a functionally organized cognitive representation of team-specific tactics in soccer. Moreover, the more experienced soccer players reacted faster in tactical decisions, because they needed less fixations of similar duration as compared to less experienced soccer players. Combined, these experiments offer evidence that a functionally organized memory structure leads to a reaction time and a perceptual advantage in tactical decision-making in soccer. The discussion emphasizes theoretical and applied implications of the current results of the study.

  1. Cognitive diffusion model with user-oriented context-to-text recognition for learning to promote high level cognitive processes

    Directory of Open Access Journals (Sweden)

    Wu-Yuin Hwang

    2014-03-01

    Full Text Available There is a large number of studies on how to promote students’ cognitive processes and learning achievements through various learning activities supported by advanced learning technologies. However, not many of them focus on applying the knowledge that students learn in school to solve authentic daily life problems. This study aims to propose a cognitive diffusion model called User-oriented Context-to-Text Recognition for Learning (U-CTRL to facilitate and improve students’ learning and cognitive processes from lower levels (i.e., Remember and Understand to higher levels (i.e., Apply and above through an innovative approach, called User-Oriented Context-to-Text Recognition for Learning (U-CTRL. With U-CTRL, students participate in learning activities in which they capture the learning context that can be scanned and recognized by a computer application as text. Furthermore, this study proposes the use of an innovative model, called Cognitive Diffusion Model, to investigate the diffusion and transition of students’ cognitive processes in different learning stages including pre-schooling, after-schooling, crossing the chasm, and higher cognitive processing. Finally, two cases are presented to demonstrate how the U-CTRL approach can be used to facilitate student cognition in their learning of English and Natural science.

  2. General emotion processing in social anxiety disorder: neural issues of cognitive control.

    Science.gov (United States)

    Brühl, Annette Beatrix; Herwig, Uwe; Delsignore, Aba; Jäncke, Lutz; Rufer, Michael

    2013-05-30

    Anxiety disorders are characterized by deficient emotion regulation prior to and in anxiety-evoking situations. Patients with social anxiety disorder (SAD) have increased brain activation also during the anticipation and perception of non-specific emotional stimuli pointing to biased general emotion processing. In the current study we addressed the neural correlates of emotion regulation by cognitive control during the anticipation and perception of non-specific emotional stimuli in patients with SAD. Thirty-two patients with SAD underwent functional magnetic resonance imaging during the announced anticipation and perception of emotional stimuli. Half of them were trained and instructed to apply reality-checking as a control strategy, the others anticipated and perceived the stimuli. Reality checking significantly (pperception of negative emotional stimuli. The medial prefrontal cortex was comparably active in both groups (p>0.50). The results suggest that cognitive control in patients with SAD influences emotion processing structures, supporting the usefulness of emotion regulation training in the psychotherapy of SAD. In contrast to studies in healthy subjects, cognitive control was not associated with increased activation of prefrontal regions in SAD. This points to possibly disturbed general emotion regulating circuits in SAD. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

  3. Grid Portal for Image and Video Processing

    International Nuclear Information System (INIS)

    Dinitrovski, I.; Kakasevski, G.; Buckovska, A.; Loskovska, S.

    2007-01-01

    Users are typically best served by G rid Portals . G rid Portals a re web servers that allow the user to configure or run a class of applications. The server is then given the task of authentication of the user with the Grid and invocation of the required grid services to launch the user's application. PHP is a widely-used general-purpose scripting language that is especially suited for Web development and can be embedded into HTML. PHP is powerful and modern server-side scripting language producing HTML or XML output which easily can be accessed by everyone via web interface (with the browser of your choice) and can execute shell scripts on the server side. The aim of our work is development of Grid portal for image and video processing. The shell scripts contains gLite and globus commands for obtaining proxy certificate, job submission, data management etc. Using this technique we can easily create web interface to the Grid infrastructure. The image and video processing algorithms are implemented in C++ language using various image processing libraries. (Author)

  4. Relationship between individual differences in speech processing and cognitive functions.

    Science.gov (United States)

    Ou, Jinghua; Law, Sam-Po; Fung, Roxana

    2015-12-01

    A growing body of research has suggested that cognitive abilities may play a role in individual differences in speech processing. The present study took advantage of a widespread linguistic phenomenon of sound change to systematically assess the relationships between speech processing and various components of attention and working memory in the auditory and visual modalities among typically developed Cantonese-speaking individuals. The individual variations in speech processing are captured in an ongoing sound change-tone merging in Hong Kong Cantonese, in which typically developed native speakers are reported to lose the distinctions between some tonal contrasts in perception and/or production. Three groups of participants were recruited, with a first group of good perception and production, a second group of good perception but poor production, and a third group of good production but poor perception. Our findings revealed that modality-independent abilities of attentional switching/control and working memory might contribute to individual differences in patterns of speech perception and production as well as discrimination latencies among typically developed speakers. The findings not only have the potential to generalize to speech processing in other languages, but also broaden our understanding of the omnipresent phenomenon of language change in all languages.

  5. Image quality and dose differences caused by vendor-specific image processing of neonatal radiographs

    International Nuclear Information System (INIS)

    Sensakovic, William F.; O'Dell, M.C.; Letter, Haley; Kohler, Nathan; Rop, Baiywo; Cook, Jane; Logsdon, Gregory; Varich, Laura

    2016-01-01

    Image processing plays an important role in optimizing image quality and radiation dose in projection radiography. Unfortunately commercial algorithms are black boxes that are often left at or near vendor default settings rather than being optimized. We hypothesize that different commercial image-processing systems, when left at or near default settings, create significant differences in image quality. We further hypothesize that image-quality differences can be exploited to produce images of equivalent quality but lower radiation dose. We used a portable radiography system to acquire images on a neonatal chest phantom and recorded the entrance surface air kerma (ESAK). We applied two image-processing systems (Optima XR220amx, by GE Healthcare, Waukesha, WI; and MUSICA"2 by Agfa HealthCare, Mortsel, Belgium) to the images. Seven observers (attending pediatric radiologists and radiology residents) independently assessed image quality using two methods: rating and matching. Image-quality ratings were independently assessed by each observer on a 10-point scale. Matching consisted of each observer matching GE-processed images and Agfa-processed images with equivalent image quality. A total of 210 rating tasks and 42 matching tasks were performed and effective dose was estimated. Median Agfa-processed image-quality ratings were higher than GE-processed ratings. Non-diagnostic ratings were seen over a wider range of doses for GE-processed images than for Agfa-processed images. During matching tasks, observers matched image quality between GE-processed images and Agfa-processed images acquired at a lower effective dose (11 ± 9 μSv; P < 0.0001). Image-processing methods significantly impact perceived image quality. These image-quality differences can be exploited to alter protocols and produce images of equivalent image quality but lower doses. Those purchasing projection radiography systems or third-party image-processing software should be aware that image processing

  6. Image quality and dose differences caused by vendor-specific image processing of neonatal radiographs

    Energy Technology Data Exchange (ETDEWEB)

    Sensakovic, William F.; O' Dell, M.C.; Letter, Haley; Kohler, Nathan; Rop, Baiywo; Cook, Jane; Logsdon, Gregory; Varich, Laura [Florida Hospital, Imaging Administration, Orlando, FL (United States)

    2016-10-15

    Image processing plays an important role in optimizing image quality and radiation dose in projection radiography. Unfortunately commercial algorithms are black boxes that are often left at or near vendor default settings rather than being optimized. We hypothesize that different commercial image-processing systems, when left at or near default settings, create significant differences in image quality. We further hypothesize that image-quality differences can be exploited to produce images of equivalent quality but lower radiation dose. We used a portable radiography system to acquire images on a neonatal chest phantom and recorded the entrance surface air kerma (ESAK). We applied two image-processing systems (Optima XR220amx, by GE Healthcare, Waukesha, WI; and MUSICA{sup 2} by Agfa HealthCare, Mortsel, Belgium) to the images. Seven observers (attending pediatric radiologists and radiology residents) independently assessed image quality using two methods: rating and matching. Image-quality ratings were independently assessed by each observer on a 10-point scale. Matching consisted of each observer matching GE-processed images and Agfa-processed images with equivalent image quality. A total of 210 rating tasks and 42 matching tasks were performed and effective dose was estimated. Median Agfa-processed image-quality ratings were higher than GE-processed ratings. Non-diagnostic ratings were seen over a wider range of doses for GE-processed images than for Agfa-processed images. During matching tasks, observers matched image quality between GE-processed images and Agfa-processed images acquired at a lower effective dose (11 ± 9 μSv; P < 0.0001). Image-processing methods significantly impact perceived image quality. These image-quality differences can be exploited to alter protocols and produce images of equivalent image quality but lower doses. Those purchasing projection radiography systems or third-party image-processing software should be aware that image

  7. Menstrual cycle influence on cognitive function and emotion processing - from the reproductive perspective

    Directory of Open Access Journals (Sweden)

    Inger Sundström Sundström Poromaa

    2014-11-01

    Full Text Available The menstrual cycle has attracted research interest ever since the 1930s. For many researchers the menstrual cycle is an excellent model of ovarian steroid influence on emotion, behavior, and cognition. Over the past years methodological improvements in menstrual cycle studies have been noted, and this review summarizes the findings of methodologically sound menstrual cycle studies in healthy women. Whereas the predominant hypotheses of the cognitive field state that sexually dimorphic cognitive skills that favor men are improved during menstrual cycle phases with low estrogen and that cognitive skills that favor women are improved during cycle phases with increased estrogen and/or progesterone, this review has not found sufficient evidence to support any of these hypotheses. Mental rotation has gained specific interest in this aspect, but a meta-analysis yielded a standardized mean difference in error rate of 1.61 (95% CI -0.35 – 3.57, suggesting, at present, no favor of an early follicular phase improvement in mental rotation performance. Besides the sexually dimorphic cognitive skills, studies exploring menstrual cycle effects on tasks that probe prefrontal cortex function, for instance verbal or spatial working memory, have also been reviewed. While studies thus far are few, results at hand suggest improved performance at times of high estradiol levels. Menstrual cycle studies on emotional processing, on the other hand, tap into the emotional disorders of the luteal phase, and may be of relevance for women with premenstrual disorders. Although evidence at present is limited, it is suggested that emotion recognition, consolidation of emotional memories, and fear extinction is modulated by the menstrual cycle in women. With the use of functional magnetic resonance imaging, several studies report changes in brain reactivity across the menstrual cycle, most notably increased amygdala reactivity in the luteal phase.

  8. Automated synthesis of image processing procedures using AI planning techniques

    Science.gov (United States)

    Chien, Steve; Mortensen, Helen

    1994-01-01

    This paper describes the Multimission VICAR (Video Image Communication and Retrieval) Planner (MVP) (Chien 1994) system, which uses artificial intelligence planning techniques (Iwasaki & Friedland, 1985, Pemberthy & Weld, 1992, Stefik, 1981) to automatically construct executable complex image processing procedures (using models of the smaller constituent image processing subprograms) in response to image processing requests made to the JPL Multimission Image Processing Laboratory (MIPL). The MVP system allows the user to specify the image processing requirements in terms of the various types of correction required. Given this information, MVP derives unspecified required processing steps and determines appropriate image processing programs and parameters to achieve the specified image processing goals. This information is output as an executable image processing program which can then be executed to fill the processing request.

  9. Cognitive control processes in paranoia: the impact of threat induction on strategic cognition and self-focused attention.

    Science.gov (United States)

    Flower, Laura; Newman-Taylor, Katherine; Stopa, Lusia

    2015-01-01

    Current clinical models emphasize certain cognitive processes in the maintenance of distressing paranoia. While a number of these processes have been examined in detail, the role of strategic cognition and self-focused attention remain under-researched. This study examined the deployment of cognitive strategies and self-focused attention in people with non-clinical paranoia. An experimental design was used to examine the impact of a threat activation task on these processes, in participants with high and low non-clinical paranoia. Twenty-eight people were recruited to each group, and completed measures of anxiety, paranoid cognition, strategic cognition and self-focused attention. The threat activation task was effective in increasing anxiety in people with high and low non-clinical paranoia. The high paranoia group experienced more paranoid cognitions following threat activation. This group also reported greater use of thought suppression, punishment and worry, and less use of social control strategies when under threat. No differences were found between the groups on measures of self-focused attention. This study shows that the threat activation task increased anxiety in people with high non-clinical paranoia, leading to increased paranoid thinking. The use of strategic cognition following threat activation varied dependent on level of non-clinical paranoia. If these differences are replicated in clinical groups, the strategies may be implicated in the maintenance of distressing psychosis, and may therefore be a valuable target for therapeutic intervention.

  10. Journey into the Problem-Solving Process: Cognitive Functions in a PBL Environment

    Science.gov (United States)

    Chua, B. L.; Tan, O. S.; Liu, W. C.

    2016-01-01

    In a PBL environment, learning results from learners engaging in cognitive processes pivotal in the understanding or resolution of the problem. Using Tan's cognitive function disc, this study examines the learner's perceived cognitive functions at each stage of PBL, as facilitated by the PBL schema. The results suggest that these learners…

  11. Imprecise Arithmetic for Low Power Image Processing

    DEFF Research Database (Denmark)

    Albicocco, Pietro; Cardarilli, Gian Carlo; Nannarelli, Alberto

    2012-01-01

    Sometimes reducing the precision of a numerical processor, by introducing errors, can lead to significant performance (delay, area and power dissipation) improvements without compromising the overall quality of the processing. In this work, we show how to perform the two basic operations, additio...... and multiplication, in an imprecise manner by simplifying the hardware implementation. With the proposed ”sloppy” operations, we obtain a reduction in delay, area and power dissipation, and the error introduced is still acceptable for applications such as image processing.......Sometimes reducing the precision of a numerical processor, by introducing errors, can lead to significant performance (delay, area and power dissipation) improvements without compromising the overall quality of the processing. In this work, we show how to perform the two basic operations, addition...

  12. Mapping Common Aphasia Assessments to Underlying Cognitive Processes and Their Neural Substrates.

    Science.gov (United States)

    Lacey, Elizabeth H; Skipper-Kallal, Laura M; Xing, Shihui; Fama, Mackenzie E; Turkeltaub, Peter E

    2017-05-01

    Understanding the relationships between clinical tests, the processes they measure, and the brain networks underlying them, is critical in order for clinicians to move beyond aphasia syndrome classification toward specification of individual language process impairments. To understand the cognitive, language, and neuroanatomical factors underlying scores of commonly used aphasia tests. Twenty-five behavioral tests were administered to a group of 38 chronic left hemisphere stroke survivors and a high-resolution magnetic resonance image was obtained. Test scores were entered into a principal components analysis to extract the latent variables (factors) measured by the tests. Multivariate lesion-symptom mapping was used to localize lesions associated with the factor scores. The principal components analysis yielded 4 dissociable factors, which we labeled Word Finding/Fluency, Comprehension, Phonology/Working Memory Capacity, and Executive Function. While many tests loaded onto the factors in predictable ways, some relied heavily on factors not commonly associated with the tests. Lesion symptom mapping demonstrated discrete brain structures associated with each factor, including frontal, temporal, and parietal areas extending beyond the classical language network. Specific functions mapped onto brain anatomy largely in correspondence with modern neural models of language processing. An extensive clinical aphasia assessment identifies 4 independent language functions, relying on discrete parts of the left middle cerebral artery territory. A better understanding of the processes underlying cognitive tests and the link between lesion and behavior may lead to improved aphasia diagnosis, and may yield treatments better targeted to an individual's specific pattern of deficits and preserved abilities.

  13. Cognitive Behavior Therapy with Body Image Exposure for Bulimia Nervosa: A Case Example

    Science.gov (United States)

    Delinsky, Sherrie S.; Wilson, G. Terence

    2010-01-01

    Cognitive behavior therapy (CBT) is an effective treatment for bulimia nervosa (BN). However, among patients with BN, symptom improvement is more pronounced for behavioral eating symptoms (i.e., bingeing and purging) than for body image disturbance, and the persistence of body image disturbance is associated with relapse. The need for more…

  14. Advanced Color Image Processing and Analysis

    CERN Document Server

    2013-01-01

    This volume does much more than survey modern advanced color processing. Starting with a historical perspective on ways we have classified color, it sets out the latest numerical techniques for analyzing and processing colors, the leading edge in our search to accurately record and print what we see. The human eye perceives only a fraction of available light wavelengths, yet we live in a multicolor world of myriad shining hues. Colors rich in metaphorical associations make us “purple with rage” or “green with envy” and cause us to “see red.” Defining colors has been the work of centuries, culminating in today’s complex mathematical coding that nonetheless remains a work in progress: only recently have we possessed the computing capacity to process the algebraic matrices that reproduce color more accurately. With chapters on dihedral color and image spectrometers, this book provides technicians and researchers with the knowledge they need to grasp the intricacies of today’s color imaging.

  15. A content review of cognitive process measures used in pain research within adult populations.

    Science.gov (United States)

    Day, M A; Lang, C P; Newton-John, T R O; Ehde, D M; Jensen, M P

    2017-01-01

    Previous research suggests that measures of cognitive process may be confounded by the inclusion of items that also assess cognitive content. The primary aims of this content review were to: (1) identify the domains of cognitive processes assessed by measures used in pain research; and (2) determine if pain-specific cognitive process measures with adequate psychometric properties exist. PsychInfo, CINAHL, PsycArticles, MEDLINE, and Academic Search Complete databases were searched to identify the measures of cognitive process used in pain research. Identified measures were double coded and the measure's items were rated as: (1) cognitive content; (2) cognitive process; (3) behavioural/social; and/or (4) emotional coping/responses to pain. A total of 319 scales were identified; of these, 29 were coded as providing an un-confounded assessment of cognitive process, and 12 were pain-specific. The cognitive process domains assessed in these measures are Absorption, Dissociation, Reappraisal, Distraction/Suppression, Acceptance, Rumination, Non-Judgment, and Enhancement. Pain-specific, un-confounded measures were identified for: Dissociation, Reappraisal, Distraction/Suppression, and Acceptance. Psychometric properties of all 319 scales are reported in supplementary material. To understand the importance of cognitive processes in influencing pain outcomes as well as explaining the efficacy of pain treatments, valid and pain-specific cognitive process measures that are not confounded with non-process domains (e.g., cognitive content) are needed. The findings of this content review suggest that future research focused on developing cognitive process measures is critical in order to advance our understanding of the mechanisms that underlie effective pain treatment. Many cognitive process measures used in pain research contain a 'mix' of items that assess cognitive process, cognitive content, and behavioural/emotional responses. Databases searched: PsychInfo, CINAHL, Psyc

  16. Digital signal and image processing using Matlab

    CERN Document Server

    Blanchet , Gérard

    2015-01-01

    The most important theoretical aspects of Image and Signal Processing (ISP) for both deterministic and random signals, the theory being supported by exercises and computer simulations relating to real applications.   More than 200 programs and functions are provided in the MATLAB® language, with useful comments and guidance, to enable numerical experiments to be carried out, thus allowing readers to develop a deeper understanding of both the theoretical and practical aspects of this subject.  Following on from the first volume, this second installation takes a more practical stance, provi

  17. Feature extraction & image processing for computer vision

    CERN Document Server

    Nixon, Mark

    2012-01-01

    This book is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, ""The main strength of the proposed book is the exemplar code of the algorithms."" Fully updated with the latest developments in feature extraction, including expanded tutorials and new techniques, this new edition contains extensive new material on Haar wavelets, Viola-Jones, bilateral filt

  18. Digital signal and image processing using MATLAB

    CERN Document Server

    Blanchet , Gérard

    2014-01-01

    This fully revised and updated second edition presents the most important theoretical aspects of Image and Signal Processing (ISP) for both deterministic and random signals. The theory is supported by exercises and computer simulations relating to real applications. More than 200 programs and functions are provided in the MATLABÒ language, with useful comments and guidance, to enable numerical experiments to be carried out, thus allowing readers to develop a deeper understanding of both the theoretical and practical aspects of this subject. This fully revised new edition updates : - the

  19. Cognitive Risk Factors for Specific Learning Disorder: Processing Speed, Temporal Processing, and Working Memory.

    Science.gov (United States)

    Moll, Kristina; Göbel, Silke M; Gooch, Debbie; Landerl, Karin; Snowling, Margaret J

    2016-01-01

    High comorbidity rates between reading disorder (RD) and mathematics disorder (MD) indicate that, although the cognitive core deficits underlying these disorders are distinct, additional domain-general risk factors might be shared between the disorders. Three domain-general cognitive abilities were investigated in children with RD and MD: processing speed, temporal processing, and working memory. Since attention problems frequently co-occur with learning disorders, the study examined whether these three factors, which are known to be associated with attention problems, account for the comorbidity between these disorders. The sample comprised 99 primary school children in four groups: children with RD, children with MD, children with both disorders (RD+MD), and typically developing children (TD controls). Measures of processing speed, temporal processing, and memory were analyzed in a series of ANCOVAs including attention ratings as covariate. All three risk factors were associated with poor attention. After controlling for attention, associations with RD and MD differed: Although deficits in verbal memory were associated with both RD and MD, reduced processing speed was related to RD, but not MD; and the association with RD was restricted to processing speed for familiar nameable symbols. In contrast, impairments in temporal processing and visuospatial memory were associated with MD, but not RD. © Hammill Institute on Disabilities 2014.

  20. Image processing in 60Co container inspection system

    International Nuclear Information System (INIS)

    Wu Zhifang; Zhou Liye; Wang Liqiang; Liu Ximing

    1999-01-01

    The authors analyzes the features of 60 Co container inspection image, the design of several special processing methods for container image and some normal processing methods for two-dimensional digital image, including gray enhancement, pseudo-enhancement, space filter, edge enhancement, geometry process, etc. It gives out the way to carry out the above mentioned process in Windows 95 or Win NT. It discusses some ways to improve the image processing speed on microcomputer and good results were obtained

  1. Image processing to optimize wave energy converters

    Science.gov (United States)

    Bailey, Kyle Marc-Anthony

    The world is turning to renewable energies as a means of ensuring the planet's future and well-being. There have been a few attempts in the past to utilize wave power as a means of generating electricity through the use of Wave Energy Converters (WEC), but only recently are they becoming a focal point in the renewable energy field. Over the past few years there has been a global drive to advance the efficiency of WEC. Placing a mechanical device either onshore or offshore that captures the energy within ocean surface waves to drive a mechanical device is how wave power is produced. This paper seeks to provide a novel and innovative way to estimate ocean wave frequency through the use of image processing. This will be achieved by applying a complex modulated lapped orthogonal transform filter bank to satellite images of ocean waves. The complex modulated lapped orthogonal transform filterbank provides an equal subband decomposition of the Nyquist bounded discrete time Fourier Transform spectrum. The maximum energy of the 2D complex modulated lapped transform subband is used to determine the horizontal and vertical frequency, which subsequently can be used to determine the wave frequency in the direction of the WEC by a simple trigonometric scaling. The robustness of the proposed method is provided by the applications to simulated and real satellite images where the frequency is known.

  2. Processing computed tomography images by using personal computer

    International Nuclear Information System (INIS)

    Seto, Kazuhiko; Fujishiro, Kazuo; Seki, Hirofumi; Yamamoto, Tetsuo.

    1994-01-01

    Processing of CT images was attempted by using a popular personal computer. The program for image-processing was made with C compiler. The original images, acquired with CT scanner (TCT-60A, Toshiba), were transferred to the computer by 8-inch flexible diskette. Many fundamental image-processing, such as displaying image to the monitor, calculating CT value and drawing the profile curve. The result showed that a popular personal computer had ability to process CT images. It seemed that 8-inch flexible diskette was still useful medium of transferring image data. (author)

  3. Low level image processing techniques using the pipeline image processing engine in the flight telerobotic servicer

    Science.gov (United States)

    Nashman, Marilyn; Chaconas, Karen J.

    1988-01-01

    The sensory processing system for the NASA/NBS Standard Reference Model (NASREM) for telerobotic control is described. This control system architecture was adopted by NASA of the Flight Telerobotic Servicer. The control system is hierarchically designed and consists of three parallel systems: task decomposition, world modeling, and sensory processing. The Sensory Processing System is examined, and in particular the image processing hardware and software used to extract features at low levels of sensory processing for tasks representative of those envisioned for the Space Station such as assembly and maintenance are described.

  4. Neural correlates of emotion?cognition interactions: A review of evidence from brain imaging investigations

    OpenAIRE

    Dolcos, Florin; Iordan, Alexandru D.; Dolcos, Sanda

    2011-01-01

    Complex dynamic behaviour involves reciprocal influences between emotion and cognition. On the one hand, emotion is a ?double-edged sword? that may affect various aspects of our cognition and behaviour, by enhancing or hindering them and exerting both transient and long-term influences. On the other hand, emotion processing is also susceptible to cognitive influences, typically exerted in the form of emotion regulation. Noteworthy, both of these reciprocal influences are subjective to individ...

  5. Cognitive-Behavioral Body Image Therapy for Body Dysmorphic Disorder.

    Science.gov (United States)

    Rosen, James C.; And Others

    1995-01-01

    Randomly assigned 54 body dysmorphic disorder (BDD) subjects to cognitive behavior therapy or no treatment. BDD symptoms were significantly decreased in therapy subjects and the disorder was eliminated in 82 percent of cases at posttreatment and 77 percent at follow-up. Subjects' overall psychological symptoms and self-esteem also improved. (RJM)

  6. Digital image processing an algorithmic approach with Matlab

    CERN Document Server

    Qidwai, Uvais

    2009-01-01

    Introduction to Image Processing and the MATLAB EnvironmentIntroduction Digital Image Definitions: Theoretical Account Image Properties MATLAB Algorithmic Account MATLAB CodeImage Acquisition, Types, and File I/OImage Acquisition Image Types and File I/O Basics of Color Images Other Color Spaces Algorithmic Account MATLAB CodeImage ArithmeticIntroduction Operator Basics Theoretical TreatmentAlgorithmic Treatment Coding ExamplesAffine and Logical Operations, Distortions, and Noise in ImagesIntroduction Affine Operations Logical Operators Noise in Images Distortions in ImagesAlgorithmic Account

  7. A report on digital image processing and analysis

    International Nuclear Information System (INIS)

    Singh, B.; Alex, J.; Haridasan, G.

    1989-01-01

    This report presents developments in software, connected with digital image processing and analysis in the Centre. In image processing, one resorts to either alteration of grey level values so as to enhance features in the image or resorts to transform domain operations for restoration or filtering. Typical transform domain operations like Karhunen-Loeve transforms are statistical in nature and are used for a good registration of images or template - matching. Image analysis procedures segment grey level images into images contained within selectable windows, for the purpose of estimating geometrical features in the image, like area, perimeter, projections etc. In short, in image processing both the input and output are images, whereas in image analyses, the input is an image whereas the output is a set of numbers and graphs. (author). 19 refs

  8. Information processing speed as a mediator between psychosocial stress and global cognition in older adults.

    Science.gov (United States)

    Foong, Hui F; Hamid, Tengku A; Ibrahim, Rahimah; Haron, Sharifah A

    2018-01-01

    The link between psychosocial stress and cognitive function is complex, and previous studies have indicated that it may be mediated by processing speed. Therefore, the main aim of this study was to examine whether processing speed mediates the association between psychosocial stress and global cognition in older adults. Moreover, the moderating role of gender in this model is examined as well. The study included 2322 community-dwelling older adults in Malaysia who were randomly selected through a multistage proportional cluster random sampling technique. Global cognition construct was measured by the Mini-Mental State Examination and Montreal Cognitive Assessment; psychosocial stress construct was measured by perceived stress, depression, loneliness, and neuroticism; and processing speed was assessed by the Digit Symbol Substitution Test. Structural equation modelling was used to analyze the mediation and moderation tests. Processing speed was found to partially mediate the relationship between psychosocial stress and global cognition (β in the direct model = -0.15, P cognition was found to be significant in men only, whereas the association between processing speed and global cognition was significant in men and women. Psychosocial stress may increase the likelihood that older adults will experience poor processing capacity, which could reduce their higher level cognition. Results indicate that there is a need to develop processing capacity intervention programmes for psychologically distressed older adults to prevent them from suffering cognitive decline. © 2018 Japanese Psychogeriatric Society.

  9. Individual differences in drivers' cognitive processing of road safety messages.

    Science.gov (United States)

    Kaye, Sherrie-Anne; White, Melanie J; Lewis, Ioni M

    2013-01-01

    acceptance measures. As predicted, the degree of initial processing of the content of the social gain-framed message mediated the relationship between the reward sensitive trait and message effectiveness. Initial processing of the physical loss-framed message partially mediated the relationship between the punishment sensitive trait and both message effectiveness and behavioural intention ratings. These results show that reward sensitivity and punishment sensitivity traits influence cognitive processing of gain-framed and loss-framed message content, respectively, and subsequently, message effectiveness and behavioural intention ratings. Specifically, a range of road safety messages (i.e., gain-frame and loss-frame messages) could be designed which align with the processing biases associated with personality and which would target those individuals who are sensitive to rewards and those who are sensitive to punishments. Copyright © 2012 Elsevier Ltd. All rights reserved.

  10. Predictive information processing in music cognition. A critical review.

    Science.gov (United States)

    Rohrmeier, Martin A; Koelsch, Stefan

    2012-02-01

    Expectation and prediction constitute central mechanisms in the perception and cognition of music, which have been explored in theoretical and empirical accounts. We review the scope and limits of theoretical accounts of musical prediction with respect to feature-based and temporal prediction. While the concept of prediction is unproblematic for basic single-stream features such as melody, it is not straight-forward for polyphonic structures or higher-order features such as formal predictions. Behavioural results based on explicit and implicit (priming) paradigms provide evidence of priming in various domains that may reflect predictive behaviour. Computational learning models, including symbolic (fragment-based), probabilistic/graphical, or connectionist approaches, provide well-specified predictive models of specific features and feature combinations. While models match some experimental results, full-fledged music prediction cannot yet be modelled. Neuroscientific results regarding the early right-anterior negativity (ERAN) and mismatch negativity (MMN) reflect expectancy violations on different levels of processing complexity, and provide some neural evidence for different predictive mechanisms. At present, the combinations of neural and computational modelling methodologies are at early stages and require further research. Copyright © 2012 Elsevier B.V. All rights reserved.

  11. Medication adherence as a learning process: insights from cognitive psychology.

    Science.gov (United States)

    Rottman, Benjamin Margolin; Marcum, Zachary A; Thorpe, Carolyn T; Gellad, Walid F

    2017-03-01

    Non-adherence to medications is one of the largest contributors to sub-optimal health outcomes. Many theories of adherence include a 'value-expectancy' component in which a patient decides to take a medication partly based on expectations about whether it is effective, necessary, and tolerable. We propose reconceptualising this common theme as a kind of 'causal learning' - the patient learns whether a medication is effective, necessary, and tolerable, from experience with the medication. We apply cognitive psychology theories of how people learn cause-effect relations to elaborate this causal-learning challenge. First, expectations and impressions about a medication and beliefs about how a medication works, such as delay of onset, can shape a patient's perceived experience with the medication. Second, beliefs about medications propagate both 'top-down' and 'bottom-up', from experiences with specific medications to general beliefs about medications and vice versa. Third, non-adherence can interfere with learning about a medication, because beliefs, adherence, and experience with a medication are connected in a cyclic learning problem. We propose that by conceptualising non-adherence as a causal-learning process, clinicians can more effectively address a patient's misconceptions and biases, helping the patient develop more accurate impressions of the medication.

  12. Variational PDE Models in Image Processing

    National Research Council Canada - National Science Library

    Chan, Tony F; Shen, Jianhong; Vese, Luminita

    2002-01-01

    .... These include astronomy and aerospace exploration, medical imaging, molecular imaging, computer graphics, human and machine vision, telecommunication, auto-piloting, surveillance video, and biometric...

  13. Cognitive impairment and computer tomography image in patients with arterial hypertension -preliminary results

    International Nuclear Information System (INIS)

    Yaneva-Sirakova, T.; Tarnovska-Kadreva, R.; Traykov, L.; Zlatareva, D.

    2012-01-01

    Arterial hypertension is the leading risk factor for cognitive impairment, but it is developed only in some of the patients with pour control. On the other hand, not all of the patents with white matter changes have cognitive deficit. There may be a variety of reasons for this: the accuracy of methods for blood pressure measurement, the specific brain localization or some other reason. Here are the preliminary results of a study (or the potential correlation between self-measured, office-, ambulatory monitored blood pressure, central aortic blood pressure, minimal cognitive impairment and the specific brain image on contrast computer tomography. We expect to answer, the question whether central aortic or self-measured blood pressure have the leading role for the development of cognitive impairment in the presence of a specific neuroimaging finding, as well as what is the prerequisite for the clinical manifestation of cognitive dysfunction in patients with computer tomographic pathology. (authors)

  14. The Imaging and Cognition Genetics Conference 2011, ICG 2011: A meeting of minds

    Directory of Open Access Journals (Sweden)

    Stephanie eLe Hellard

    2012-05-01

    Full Text Available In June 2011, seventy researchers from the disciplines of cognitive science, genetics, psychology, psychiatry, neurobiology and computer science gathered in Os, Norway, for the first Imaging and Cognition Genetics meeting. The aim of the conference was to discuss progress, enhance collaboration and maximise resource sharing within this new field. Here we summarise some of the major themes that emerged from ICG 2011.

  15. Application of Java technology in radiation image processing

    International Nuclear Information System (INIS)

    Cheng Weifeng; Li Zheng; Chen Zhiqiang; Zhang Li; Gao Wenhuan

    2002-01-01

    The acquisition and processing of radiation image plays an important role in modern application of civil nuclear technology. The author analyzes the rationale of Java image processing technology which includes Java AWT, Java 2D and JAI. In order to demonstrate applicability of Java technology in field of image processing, examples of application of JAI technology in processing of radiation images of large container have been given

  16. Explicit and implicit cognition: a preliminary test of a dual-process theory of cognitive vulnerability to depression.

    Science.gov (United States)

    Haeffel, Gerald J; Abramson, Lyn Y; Brazy, Paige C; Shah, James Y; Teachman, Bethany A; Nosek, Brian A

    2007-06-01

    Two studies were conducted to test a dual-process theory of cognitive vulnerability to depression. According to this theory, implicit and explicit cognitive processes have differential effects on depressive reactions to stressful life events. Implicit processes are hypothesized to be critical in determining an individual's immediate affective reaction to stress whereas explicit cognitions are thought to be more involved in long-term depressive reactions. Consistent with hypotheses, the results of study 1 (cross-sectional; N=237) showed that implicit, but not explicit, cognitions predicted immediate affective reactions to a lab stressor. Study 2 (longitudinal; N=251) also supported the dual-process model of cognitive vulnerability to depression. Results showed that both the implicit and explicit measures interacted with life stress to predict prospective changes in depressive symptoms, respectively. However, when both implicit and explicit predictors were entered into a regression equation simultaneously, only the explicit measure interacted with stress to remain a unique predictor of depressive symptoms over the five-week prospective interval.

  17. Influential Cognitive Processes on Framing Biases in Aging

    Directory of Open Access Journals (Sweden)

    Alison M. Perez

    2018-05-01

    Full Text Available Factors that contribute to overcoming decision-making biases in later life pose an important investigational question given the increasing older adult population. Limited empirical evidence exists and the literature remains equivocal of whether increasing age is associated with elevated susceptibility to decision-making biases such as framing effects. Research into the individual differences contributing to decision-making ability may offer better understanding of the influence of age in decision-making ability. Changes in cognition underlying decision-making have been shown with increased age and may contribute to individual variability in decision-making abilities. This study had three aims; (1 to understand the influence of age on susceptibility to decision-making biases as measured by framing effects across a large, continuous age range; (2 to examine influence of cognitive abilities that change with age; and (3 to understand the influence of individual factors such as gender and education on susceptibility to framing effects. 200 individuals (28–79 years of age were tested on a large battery of cognitive measures in the domains of executive function, memory and complex attention. Findings from this study demonstrated that cognitive abilities such as strategic control and delayed memory better predicted susceptibility to framing biases than age. The current findings demonstrate that age may not be as influential a factor in decision-making as cognitive ability and cognitive reserve. These findings motivate future studies to better characterize cognitive ability to determine decision-making susceptibilities in aging populations.

  18. Influential Cognitive Processes on Framing Biases in Aging.

    Science.gov (United States)

    Perez, Alison M; Spence, Jeffrey Scott; Kiel, L D; Venza, Erin E; Chapman, Sandra B

    2018-01-01

    Factors that contribute to overcoming decision-making biases in later life pose an important investigational question given the increasing older adult population. Limited empirical evidence exists and the literature remains equivocal of whether increasing age is associated with elevated susceptibility to decision-making biases such as framing effects. Research into the individual differences contributing to decision-making ability may offer better understanding of the influence of age in decision-making ability. Changes in cognition underlying decision-making have been shown with increased age and may contribute to individual variability in decision-making abilities. This study had three aims; (1) to understand the influence of age on susceptibility to decision-making biases as measured by framing effects across a large, continuous age range; (2) to examine influence of cognitive abilities that change with age; and (3) to understand the influence of individual factors such as gender and education on susceptibility to framing effects. 200 individuals (28-79 years of age) were tested on a large battery of cognitive measures in the domains of executive function, memory and complex attention. Findings from this study demonstrated that cognitive abilities such as strategic control and delayed memory better predicted susceptibility to framing biases than age. The current findings demonstrate that age may not be as influential a factor in decision-making as cognitive ability and cognitive reserve. These findings motivate future studies to better characterize cognitive ability to determine decision-making susceptibilities in aging populations.

  19. Influential Cognitive Processes on Framing Biases in Aging

    Science.gov (United States)

    Perez, Alison M.; Spence, Jeffrey Scott; Kiel, L. D.; Venza, Erin E.; Chapman, Sandra B.

    2018-01-01

    Factors that contribute to overcoming decision-making biases in later life pose an important investigational question given the increasing older adult population. Limited empirical evidence exists and the literature remains equivocal of whether increasing age is associated with elevated susceptibility to decision-making biases such as framing effects. Research into the individual differences contributing to decision-making ability may offer better understanding of the influence of age in decision-making ability. Changes in cognition underlying decision-making have been shown with increased age and may contribute to individual variability in decision-making abilities. This study had three aims; (1) to understand the influence of age on susceptibility to decision-making biases as measured by framing effects across a large, continuous age range; (2) to examine influence of cognitive abilities that change with age; and (3) to understand the influence of individual factors such as gender and education on susceptibility to framing effects. 200 individuals (28–79 years of age) were tested on a large battery of cognitive measures in the domains of executive function, memory and complex attention. Findings from this study demonstrated that cognitive abilities such as strategic control and delayed memory better predicted susceptibility to framing biases than age. The current findings demonstrate that age may not be as influential a factor in decision-making as cognitive ability and cognitive reserve. These findings motivate future studies to better characterize cognitive ability to determine decision-making susceptibilities in aging populations. PMID:29867641

  20. Engagement with the auditory processing system during targeted auditory cognitive training mediates changes in cognitive outcomes in individuals with schizophrenia.

    Science.gov (United States)

    Biagianti, Bruno; Fisher, Melissa; Neilands, Torsten B; Loewy, Rachel; Vinogradov, Sophia

    2016-11-01

    Individuals with schizophrenia who engage in targeted cognitive training (TCT) of the auditory system show generalized cognitive improvements. The high degree of variability in cognitive gains maybe due to individual differences in the level of engagement of the underlying neural system target. 131 individuals with schizophrenia underwent 40 hours of TCT. We identified target engagement of auditory system processing efficiency by modeling subject-specific trajectories of auditory processing speed (APS) over time. Lowess analysis, mixed models repeated measures analysis, and latent growth curve modeling were used to examine whether APS trajectories were moderated by age and illness duration, and mediated improvements in cognitive outcome measures. We observed significant improvements in APS from baseline to 20 hours of training (initial change), followed by a flat APS trajectory (plateau) at subsequent time-points. Participants showed interindividual variability in the steepness of the initial APS change and in the APS plateau achieved and sustained between 20 and 40 hours. We found that participants who achieved the fastest APS plateau, showed the greatest transfer effects to untrained cognitive domains. There is a significant association between an individual's ability to generate and sustain auditory processing efficiency and their degree of cognitive improvement after TCT, independent of baseline neurocognition. APS plateau may therefore represent a behavioral measure of target engagement mediating treatment response. Future studies should examine the optimal plateau of auditory processing efficiency required to induce significant cognitive improvements, in the context of interindividual differences in neural plasticity and sensory system efficiency that characterize schizophrenia. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

  1. Cognitive functions, electroencephalographic and diffusion tensor imaging changes in children with active idiopathic epilepsy.

    Science.gov (United States)

    A Yassine, Imane; M Eldeeb, Waleed; A Gad, Khaled; A Ashour, Yossri; A Yassine, Inas; O Hosny, Ahmed

    2018-07-01

    Neurocognitive impairment represents one of the most common comorbidities occurring in children with idiopathic epilepsy. Diagnosis of the idiopathic form of epilepsy requires the absence of any macrostructural abnormality in the conventional MRI. Though changes can be seen at the microstructural level imaged using advanced techniques such as the Diffusion Tensor Imaging (DTI). The aim of this work is to study the correlation between the microstructural white matter DTI findings, the electroencephalographic changes and the cognitive dysfunction in children with active idiopathic epilepsy. A comparative cross-sectional study, included 60 children with epilepsy based on the Stanford-Binet 5th Edition Scores was conducted. Patients were equally assigned to normal cognitive function or cognitive dysfunction groups. The history of the epileptic condition was gathered via personal interviews. All patients underwent brain Electroencephalography (EEG) and DTI, which was analyzed using FSL. The Fractional Anisotropy (FA) was significantly higher whereas the Mean Diffusivity (MD) was significantly lower in the normal cognitive function group than in the cognitive dysfunction group. This altered microstructure was related to the degree of the cognitive performance of the studied children with epilepsy. The microstructural alterations of the neural fibers in children with epilepsy and cognitive dysfunction were significantly related to the younger age of onset of epilepsy, the poor control of the clinical seizures, and the use of multiple antiepileptic medications. Children with epilepsy and normal cognitive functions differ in white matter integrity, measured using DTI, compared with children with cognitive dysfunction. These changes have important cognitive consequences. Copyright © 2018 Elsevier Inc. All rights reserved.

  2. Cognitive components of rural tourism destination images: The case of Lake Plastiras, Greece

    DEFF Research Database (Denmark)

    Kokkali, Panagiota; Koutsouris, Alex; Chrysochou, Polymeros

    2009-01-01

    This paper aims at exploring issues related to rural tourism destination image (TDI) focusing on the cognitive component. By means of empirical research addressing tourists visiting the Lake Plastiras area, Central Greece, factors comprising the cognitive component of the area's TDI were identified...... of these factors; (3) visitors can be classified in four clusters according to the cognitive factors; (4) tourists' clusters differ in terms of age, education and income as well as number of visits and perception of the area's attractiveness. Such findings point towards the need of both a new strategy for the area...

  3. A concise introduction to image processing using C++

    CERN Document Server

    Wang, Meiqing

    2008-01-01

    Image recognition has become an increasingly dynamic field with new and emerging civil and military applications in security, exploration, and robotics. Written by experts in fractal-based image and video compression, A Concise Introduction to Image Processing using C++ strengthens your knowledge of fundamentals principles in image acquisition, conservation, processing, and manipulation, allowing you to easily apply these techniques in real-world problems. The book presents state-of-the-art image processing methodology, including current industrial practices for image compression, image de-noi

  4. Differentiating Processes of Control and Understanding in the Early Development of Emotion and Cognition

    Science.gov (United States)

    Blankson, A. Nayena; O'Brien, Marion; Leerkes, Esther M.; Marcovitch, Stuart; Calkins, Susan D.

    2012-01-01

    In this study, we examined the hypothesis that preschoolers' performance on emotion and cognitive tasks is organized into discrete processes of control and understanding within the domains of emotion and cognition. Additionally, we examined the relations among component processes using mother report, behavioral observation, and physiological…

  5. Circadian Rhythms in Cognitive Processes: Implications for School Learning

    Science.gov (United States)

    Valdez, Pablo; Ramírez, Candelaria; García, Aída

    2014-01-01

    Circadian variations have been found in cognitive processes, such as attention, working memory, and executive functions, which may explain oscillations in the performance of many tasks. These cognitive processes improve during the day and decrease during the night and early hours of the morning. Sleep deprivation further decreases these cognitive…

  6. Development of cognitive processing and judgments of knowledge in medical students : Analysis of progress test results

    NARCIS (Netherlands)

    Cecilio-Fernandes, Dario; Kerdijk, Wouter; Jaarsma, A. D. (Debbie) C.; Tio, Rene A.

    2016-01-01

    BACKGROUND: Beside acquiring knowledge, medical students should also develop the ability to apply and reflect on it, requiring higher-order cognitive processing. Ideally, students should have reached higher-order cognitive processing when they enter the clinical program. Whether this is the case, is

  7. Effects of image processing on the detective quantum efficiency

    Science.gov (United States)

    Park, Hye-Suk; Kim, Hee-Joung; Cho, Hyo-Min; Lee, Chang-Lae; Lee, Seung-Wan; Choi, Yu-Na

    2010-04-01

    Digital radiography has gained popularity in many areas of clinical practice. This transition brings interest in advancing the methodologies for image quality characterization. However, as the methodologies for such characterizations have not been standardized, the results of these studies cannot be directly compared. The primary objective of this study was to standardize methodologies for image quality characterization. The secondary objective was to evaluate affected factors to Modulation transfer function (MTF), noise power spectrum (NPS), and detective quantum efficiency (DQE) according to image processing algorithm. Image performance parameters such as MTF, NPS, and DQE were evaluated using the international electro-technical commission (IEC 62220-1)-defined RQA5 radiographic techniques. Computed radiography (CR) images of hand posterior-anterior (PA) for measuring signal to noise ratio (SNR), slit image for measuring MTF, white image for measuring NPS were obtained and various Multi-Scale Image Contrast Amplification (MUSICA) parameters were applied to each of acquired images. In results, all of modified images were considerably influence on evaluating SNR, MTF, NPS, and DQE. Modified images by the post-processing had higher DQE than the MUSICA=0 image. This suggests that MUSICA values, as a post-processing, have an affect on the image when it is evaluating for image quality. In conclusion, the control parameters of image processing could be accounted for evaluating characterization of image quality in same way. The results of this study could be guided as a baseline to evaluate imaging systems and their imaging characteristics by measuring MTF, NPS, and DQE.

  8. Image processing system for videotape review

    International Nuclear Information System (INIS)

    Bettendroffer, E.

    1988-01-01

    In a nuclear plant, the areas in which fissile materials are stored or handled, have to be monitored continuously. One method of surveillance is to record pictures of TV cameras with determined time intervals on special video recorders. The 'time lapse' recorded tape is played back at normal speed and an inspector checks visually the pictures. This method requires much manpower and an automated method would be useful. The present report describes an automatic reviewing method based on an image processing system; the system detects scene changes in the picture sequence and stores the reduced data set on a separate video tape. The resulting reduction of reviewing time by inspector is important for surveillance data with few movements

  9. Cognitive Task Analysis of the Battalion Level Visualization Process

    National Research Council Canada - National Science Library

    Leedom, Dennis K; McElroy, William; Shadrick, Scott B; Lickteig, Carl; Pokorny, Robet A; Haynes, Jacqueline A; Bell, James

    2007-01-01

    ... position or as a battalion Operations Officer or Executive Officer. Bases on findings from the cognitive task analysis, 11 skill areas were identified as potential focal points for future training development...

  10. Negative attention bias and processing deficits during the cognitive reappraisal of unpleasant emotions in HIV+ women.

    Science.gov (United States)

    McIntosh, Roger C; Tartar, Jaime L; Widmayer, Susan; Rosselli, Monica

    2015-01-01

    Deficits in emotional processing may be attributed to HIV disease or comorbid psychiatric disorders. Electrocortical markers of emotional attention, i.e., amplitude of the P2 and late positive potential (LPP), were compared between 26 HIV+ women and 25 healthy controls during an emotional regulation paradigm. HIV+ women showed early attention bias to negative stimuli indexed by greater P2 amplitude. In contrast, compared with the passive viewing of unpleasant images, HIV+ women demonstrated attenuation of the early and late LPP during positive reappraisal. This interaction remained significant after adjusting for individual differences in apathy, anxiety, and depression. Post hoc analyses implicated time since HIV diagnosis with LPP attenuation during positive reappraisal. Advancing HIV disease may disrupt neural generators associated with the cognitive reappraisal of emotions independent of psychiatric function.

  11. Perceptual category learning and visual processing: An exercise in computational cognitive neuroscience.

    Science.gov (United States)

    Cantwell, George; Riesenhuber, Maximilian; Roeder, Jessica L; Ashby, F Gregory

    2017-05-01

    The field of computational cognitive neuroscience (CCN) builds and tests neurobiologically detailed computational models that account for both behavioral and neuroscience data. This article leverages a key advantage of CCN-namely, that it should be possible to interface different CCN models in a plug-and-play fashion-to produce a new and biologically detailed model of perceptual category learning. The new model was created from two existing CCN models: the HMAX model of visual object processing and the COVIS model of category learning. Using bitmap images as inputs and by adjusting only a couple of learning-rate parameters, the new HMAX/COVIS model provides impressively good fits to human category-learning data from two qualitatively different experiments that used different types of category structures and different types of visual stimuli. Overall, the model provides a comprehensive neural and behavioral account of basal ganglia-mediated learning. Copyright © 2017 Elsevier Ltd. All rights reserved.

  12. Cognitive Processes and Learner Strategies in the Acquisition of Motor Skills

    Science.gov (United States)

    1978-12-01

    children: Capacity or processing deficits? Memory and Cognition, 1976, 4, 559-S72. Craik , F. I. M., & Lockhart , R. S. Levels of processing : A framework...learning and memory research. In F. I. M. Craik & L. S. Cermak (Eds.), Levels of processing and theories of memory. Hillsdale, N. J.: Erlbaum, 1978...functions. Cognitive activities are described at a highly theoretical (technical) level as well as in a pragmatic manner. Differences in processing

  13. Computational models of music perception and cognition II: Domain-specific music processing

    Science.gov (United States)

    Purwins, Hendrik; Grachten, Maarten; Herrera, Perfecto; Hazan, Amaury; Marxer, Ricard; Serra, Xavier

    2008-09-01

    In Part I [Purwins H, Herrera P, Grachten M, Hazan A, Marxer R, Serra X. Computational models of music perception and cognition I: The perceptual and cognitive processing chain. Physics of Life Reviews 2008, in press, doi:10.1016/j.plrev.2008.03.004], we addressed the study of cognitive processes that underlie auditory perception of music, and their neural correlates. The aim of the present paper is to summarize empirical findings from music cognition research that are relevant to three prominent music theoretic domains: rhythm, melody, and tonality. Attention is paid to how cognitive processes like category formation, stimulus grouping, and expectation can account for the music theoretic key concepts in these domains, such as beat, meter, voice, consonance. We give an overview of computational models that have been proposed in the literature for a variety of music processing tasks related to rhythm, melody, and tonality. Although the present state-of-the-art in computational modeling of music cognition definitely provides valuable resources for testing specific hypotheses and theories, we observe the need for models that integrate the various aspects of music perception and cognition into a single framework. Such models should be able to account for aspects that until now have only rarely been addressed in computational models of music cognition, like the active nature of perception and the development of cognitive capacities from infancy to adulthood.

  14. Spot restoration for GPR image post-processing

    Science.gov (United States)

    Paglieroni, David W; Beer, N. Reginald

    2014-05-20

    A method and system for detecting the presence of subsurface objects within a medium is provided. In some embodiments, the imaging and detection system operates in a multistatic mode to collect radar return signals generated by an array of transceiver antenna pairs that is positioned across the surface and that travels down the surface. The imaging and detection system pre-processes the return signal to suppress certain undesirable effects. The imaging and detection system then generates synthetic aperture radar images from real aperture radar images generated from the pre-processed return signal. The imaging and detection system then post-processes the synthetic aperture radar images to improve detection of subsurface objects. The imaging and detection system identifies peaks in the energy levels of the post-processed image frame, which indicates the presence of a subsurface object.

  15. Endemic Images and the Desensitization Process.

    Science.gov (United States)

    Saigh, Philip A.; Antoun, Fouad T.

    1984-01-01

    Examined the effects of endemic images on levels of anxiety and achievement of 48 high school students. Results suggested that a combination of endemic images and study skills training was as effective as desensitization plus study skills training. Includes the endemic image questionnaire. (JAC)

  16. Image analysis for ophthalmological diagnosis image processing of Corvis ST images using Matlab

    CERN Document Server

    Koprowski, Robert

    2016-01-01

    This monograph focuses on the use of analysis and processing methods for images from the Corvis® ST tonometer. The presented analysis is associated with the quantitative, repeatable and fully automatic evaluation of the response of the eye, eyeball and cornea to an air-puff. All the described algorithms were practically implemented in MATLAB®. The monograph also describes and provides the full source code designed to perform the discussed calculations. As a result, this monograph is intended for scientists, graduate students and students of computer science and bioengineering as well as doctors wishing to expand their knowledge of modern diagnostic methods assisted by various image analysis and processing methods.

  17. Image quality and dose differences caused by vendor-specific image processing of neonatal radiographs.

    Science.gov (United States)

    Sensakovic, William F; O'Dell, M Cody; Letter, Haley; Kohler, Nathan; Rop, Baiywo; Cook, Jane; Logsdon, Gregory; Varich, Laura

    2016-10-01

    Image processing plays an important role in optimizing image quality and radiation dose in projection radiography. Unfortunately commercial algorithms are black boxes that are often left at or near vendor default settings rather than being optimized. We hypothesize that different commercial image-processing systems, when left at or near default settings, create significant differences in image quality. We further hypothesize that image-quality differences can be exploited to produce images of equivalent quality but lower radiation dose. We used a portable radiography system to acquire images on a neonatal chest phantom and recorded the entrance surface air kerma (ESAK). We applied two image-processing systems (Optima XR220amx, by GE Healthcare, Waukesha, WI; and MUSICA(2) by Agfa HealthCare, Mortsel, Belgium) to the images. Seven observers (attending pediatric radiologists and radiology residents) independently assessed image quality using two methods: rating and matching. Image-quality ratings were independently assessed by each observer on a 10-point scale. Matching consisted of each observer matching GE-processed images and Agfa-processed images with equivalent image quality. A total of 210 rating tasks and 42 matching tasks were performed and effective dose was estimated. Median Agfa-processed image-quality ratings were higher than GE-processed ratings. Non-diagnostic ratings were seen over a wider range of doses for GE-processed images than for Agfa-processed images. During matching tasks, observers matched image quality between GE-processed images and Agfa-processed images acquired at a lower effective dose (11 ± 9 μSv; P < 0.0001). Image-processing methods significantly impact perceived image quality. These image-quality differences can be exploited to alter protocols and produce images of equivalent image quality but lower doses. Those purchasing projection radiography systems or third-party image-processing software should be aware that image

  18. Development of a Standardized Approach to Disclosing Amyloid Imaging Research Results in Mild Cognitive Impairment

    OpenAIRE

    Lingler, Jennifer H.; Butters, Meryl A.; Gentry, Amanda L.; Hu, Lu; Hunsaker, Amanda E.; Klunk, William E.; Mattos, Meghan K.; Parker, Lisa A.; Roberts, J. Scott; Schulz, Richard

    2016-01-01

    The increased use of PET amyloid imaging in clinical research has sparked numerous concerns about whether and how to return such research test results to study participants. Chief among these is the question of how best to disclose amyloid imaging research results to individuals who have cognitive symptoms that could impede comprehension of the information conveyed. We systematically developed and evaluated informational materials for use in pre-test counseling and post-test...

  19. Quaternion Fourier transforms for signal and image processing

    CERN Document Server

    Ell, Todd A; Sangwine, Stephen J

    2014-01-01

    Based on updates to signal and image processing technology made in the last two decades, this text examines the most recent research results pertaining to Quaternion Fourier Transforms. QFT is a central component of processing color images and complex valued signals. The book's attention to mathematical concepts, imaging applications, and Matlab compatibility render it an irreplaceable resource for students, scientists, researchers, and engineers.

  20. Cognitive Processes in Discourse Comprehension: Passive Processes, Reader-Initiated Processes, and Evolving Mental Representations

    Science.gov (United States)

    van den Broek, Paul; Helder, Anne

    2017-01-01

    As readers move through a text, they engage in various types of processes that, if all goes well, result in a mental representation that captures their interpretation of the text. With each new text segment the reader engages in passive and, at times, reader-initiated processes. These processes are strongly influenced by the readers'…

  1. Hybrid imaging: Instrumentation and Data Processing

    Science.gov (United States)

    Cal-Gonzalez, Jacobo; Rausch, Ivo; Shiyam Sundar, Lalith K.; Lassen, Martin L.; Muzik, Otto; Moser, Ewald; Papp, Laszlo; Beyer, Thomas

    2018-05-01

    State-of-the-art patient management frequently requires the use of non-invasive imaging methods to assess the anatomy, function or molecular-biological conditions of patients or study subjects. Such imaging methods can be singular, providing either anatomical or molecular information, or they can be combined, thus, providing "anato-metabolic" information. Hybrid imaging denotes image acquisitions on systems that physically combine complementary imaging modalities for an improved diagnostic accuracy and confidence as well as for increased patient comfort. The physical combination of formerly independent imaging modalities was driven by leading innovators in the field of clinical research and benefited from technological advances that permitted the operation of PET and MR in close physical proximity, for example. This review covers milestones of the development of various hybrid imaging systems for use in clinical practice and small-animal research. Special attention is given to technological advances that helped the adoption of hybrid imaging, as well as to introducing methodological concepts that benefit from the availability of complementary anatomical and biological information, such as new types of image reconstruction and data correction schemes. The ultimate goal of hybrid imaging is to provide useful, complementary and quantitative information during patient work-up. Hybrid imaging also opens the door to multi-parametric assessment of diseases, which will help us better understand the causes of various diseases that currently contribute to a large fraction of healthcare costs.

  2. Hybrid Imaging: Instrumentation and Data Processing

    Directory of Open Access Journals (Sweden)

    Jacobo Cal-Gonzalez

    2018-05-01

    Full Text Available State-of-the-art patient management frequently requires the use of non-invasive imaging methods to assess the anatomy, function or molecular-biological conditions of patients or study subjects. Such imaging methods can be singular, providing either anatomical or molecular information, or they can be combined, thus, providing “anato-metabolic” information. Hybrid imaging denotes image acquisitions on systems that physically combine complementary imaging modalities for an improved diagnostic accuracy and confidence as well as for increased patient comfort. The physical combination of formerly independent imaging modalities was driven by leading innovators in the field of clinical research and benefited from technological advances that permitted the operation of PET and MR in close physical proximity, for example. This review covers milestones of the development of various hybrid imaging systems for use in clinical practice and small-animal research. Special attention is given to technological advances that helped the adoption of hybrid imaging, as well as to introducing methodological concepts that benefit from the availability of complementary anatomical and biological information, such as new types of image reconstruction and data correction schemes. The ultimate goal of hybrid imaging is to provide useful, complementary and quantitative information during patient work-up. Hybrid imaging also opens the door to multi-parametric assessment of diseases, which will help us better understand the causes of various diseases that currently contribute to a large fraction of healthcare costs.

  3. Comparative study of image restoration techniques in forensic image processing

    Science.gov (United States)

    Bijhold, Jurrien; Kuijper, Arjan; Westhuis, Jaap-Harm

    1997-02-01

    In this work we investigated the forensic applicability of some state-of-the-art image restoration techniques for digitized video-images and photographs: classical Wiener filtering, constrained maximum entropy, and some variants of constrained minimum total variation. Basic concepts and experimental results are discussed. Because all methods appeared to produce different results, a discussion is given of which method is the most suitable, depending on the image objects that are questioned, prior knowledge and type of blur and noise. Constrained minimum total variation methods produced the best results for test images with simulated noise and blur. In cases where images are the most substantial part of the evidence, constrained maximum entropy might be more suitable, because its theoretical basis predicts a restoration result that shows the most likely pixel values, given all the prior knowledge used during restoration.

  4. Analysis of operators' diagnosis tasks based on cognitive process

    International Nuclear Information System (INIS)

    Zhou Yong; Zhang Li

    2012-01-01

    Diagnosis tasks in nuclear power plants characterized as high-dynamic uncertainties are complex reasoning tasks. Diagnosis errors are the main causes for the error of commission. Firstly, based on mental model theory and perception/action cycle theory, a cognitive model for analyzing operators' diagnosis tasks is proposed. Then, the model is used to investigate a trip event which occurred at crystal river nuclear power plant. The application demonstrates typical cognitive bias and mistakes which operators may make when performing diagnosis tasks. They mainly include the strong confirmation tendency, difficulty to produce complete hypothesis sets, group mindset, non-systematic errors in hypothesis testing, and etc. (authors)

  5. A Document Imaging Technique for Implementing Electronic Loan Approval Process

    Directory of Open Access Journals (Sweden)

    J. Manikandan

    2015-04-01

    Full Text Available The image processing is one of the leading technologies of computer applications. Image processing is a type of signal processing, the input for image processor is an image or video frame and the output will be an image or subset of image [1]. Computer graphics and computer vision process uses an image processing techniques. Image processing systems are used in various environments like medical fields, computer-aided design (CAD, research fields, crime investigation fields and military fields. In this paper, we proposed a document image processing technique, for establishing electronic loan approval process (E-LAP [2]. Loan approval process has been tedious process, the E-LAP system attempts to reduce the complexity of loan approval process. Customers have to login to fill the loan application form online with all details and submit the form. The loan department then processes the submitted form and then sends an acknowledgement mail via the E-LAP to the requested customer with the details about list of documents required for the loan approval process [3]. The approaching customer can upload the scanned copies of all required documents. All this interaction between customer and bank take place using an E-LAP system.

  6. Information Seeking Behavior in Digital Image Collections: A Cognitive Approach

    Science.gov (United States)

    Matusiak, Krystyna K.

    2006-01-01

    Presents the results of a qualitative study that focuses on search patterns of college students and community users interacting with a digital image collection. The study finds a distinct difference between the two groups of users and examines the role of mental models in information seeking behavior in digital libraries.

  7. Effects of a process-based cognitive training intervention for patients with stress-related exhaustion.

    Science.gov (United States)

    Gavelin, Hanna Malmberg; Boraxbekk, Carl-Johan; Stenlund, Therese; Järvholm, Lisbeth Slunga; Neely, Anna Stigsdotter

    2015-01-01

    Stress-related exhaustion has been linked to a pattern of selective cognitive impairments, mainly affecting executive functioning, attention and episodic memory. Little is known about potential treatments of these cognitive deficits. The purpose of this study was to evaluate the effects of a process-based cognitive training intervention, designed to target the specific cognitive impairments associated with stress-related exhaustion. To this end, patients diagnosed with exhaustion disorder (ED) were randomized to either a multimodal stress rehabilitation program with the addition of a process-based cognitive training intervention (training group, n = 27) or a treatment-as-usual control condition, consisting of multimodal stress rehabilitation with no additional training (control group, n = 32). Treatment effects were evaluated through an extensive cognitive test battery, assessing both near and far transfer effects, as well as self-report forms regarding subjective cognitive complaints and burnout levels. Results showed pronounced training-related improvements on the criterion updating task (p effects to updating (p = 0.01) and episodic memory (p = 0.04). Also, the trained group reported less subjective memory complaints (p = 0.02) and levels of burnout decreased for both groups, but more so for the trained group (p = 0.04), following the intervention. These findings suggest that process-based cognitive training may be a viable method to address the cognitive impairments associated with ED.

  8. Cognitive dysfunction and functional magnetic resonance imaging in systemic lupus erythematosus.

    Science.gov (United States)

    Barraclough, M; Elliott, R; McKie, S; Parker, B; Bruce, I N

    2015-10-01

    Cognitive dysfunction is a common aspect of systemic lupus erythematosus (SLE) and is increasingly reported as a problem by patients. In many cases the exact cause is unclear. Limited correlations between specific autoantibodies or structural brain abnormalities and cognitive dysfunction in SLE have been reported. It may be that the most appropriate biomarkers have yet to be found. Functional magnetic resonance imaging (fMRI) is a technique used in many other conditions and provides sensitive measures of brain functionality during cognitive tasks. It is now beginning to be employed in SLE studies. These studies have shown that patients with SLE often perform similarly to healthy controls in terms of behavioural measures on cognitive tasks. However, SLE patients appear to employ compensatory brain mechanisms, such as increased response in fronto-parietal regions, to maintain adequate cognitive performance. As there have been only a few studies using fMRI in SLE to investigate cognitive dysfunction, many questions remain unanswered. Further research could, however, help to identify biomarkers for cognitive dysfunction in SLE. © The Author(s) 2015.

  9. Caffeine and cognition in functional magnetic resonance imaging.

    Science.gov (United States)

    Koppelstaetter, Florian; Poeppel, Thorsten D; Siedentopf, Christian M; Ischebeck, Anja; Kolbitsch, Christian; Mottaghy, Felix M; Felber, Stephan R; Jaschke, Werner R; Krause, Bernd J

    2010-01-01

    Caffeine has been consumed since ancient times due to its beneficial effects on attention, psychomotor function, and memory. Caffeine exerts its action mainly through an antagonism of cerebral adenosine receptors, although there are important secondary effects on other neurotransmitter systems. Recently, functional MRI (fMRI) entered the field of neuropharmacology to explore the intracerebral sites and mechanisms of action of pharmacological agents. However, as caffeine possesses vasoconstrictive properties it may interfere with the mechanisms underlying the functional contrast in fMRI. Yet, only a limited number of studies dealt with the effect of caffeine on measures in fMRI. Even fewer neuroimaging studies examined the effects that caffeine exerts on cognition: Portas and colleagues used fMRI in an attentional task under different levels of arousal (sleep deprivation or caffeine administration), concluding that the thalamus is involved in mediating the interaction of attention and arousal. Bendlin and colleagues found caffeine to stabilize the extent of neuronal activation in repetitive word stem completion, counteracting the general task practice effect. Recently, Koppelstaetter and colleagues assessed the effect of caffeine on verbal working memory demonstrating a modulatory effect of caffeine on brain regions (medial frontopolar and anterior cingulate cortex) that have been associated with attentional and executive functions. This review surveys and discusses neuroimaging findings on 1) how caffeine affects the contrast underlying fMRI techniques, particularly the blood oxygen level dependent contrast (BOLD fMRI), and 2) how caffeine operates on neuronal activity underlying cognition, to understand the effect of caffeine on behavior and its neurobiological underpinnings.

  10. Individual differences in cognitive processing of interdependency information. The influence of social values on the cognitive processing of information in interdependency situations and the reflection on the temporal aspects of decision-making.

    NARCIS (Netherlands)

    Dehue, Francine Marie Jean

    1993-01-01

    The present thesis describes research on the influence of social values on the cognitive processing of information underlying decisions in interdependency situations. The research is based on the assumption that the cognitive processes are reflected in decision times. ... Zie: Summary

  11. Brain insulin signaling: a key component of cognitive processes and a potential basis for cognitive impairment in type 2 diabetes

    Science.gov (United States)

    McNay, Ewan C.; Recknagel, Andrew K.

    2011-01-01

    Understanding of the role of insulin in the brain has gradually expanded, from initial conceptions of the brain as insulin-insensitive through identification of a role in regulation of feeding to recent demonstration of insulin as a key component of hippocampal memory processes. Conversely, systemic insulin resistance such as that seen in type 2 diabetes is associated with a range of cogntive and neural deficits. Here we review the evidence for insulin as a cognitive and neural modulator, including potential effector mechanisms, and examine the impact that type 2 diabetes has on these mechanisms in order to identify likely bases for the cognitive impairments seen in type 2 diabetic patients. PMID:21907815

  12. Multivariate analysis of correlation between electrophysiological and hemodynamic responses during cognitive processing

    Science.gov (United States)

    Kujala, Jan; Sudre, Gustavo; Vartiainen, Johanna; Liljeström, Mia; Mitchell, Tom; Salmelin, Riitta

    2014-01-01

    Animal and human studies have frequently shown that in primary sensory and motor regions the BOLD signal correlates positively with high-frequency and negatively with low-frequency neuronal activity. However, recent evidence suggests that this relationship may also vary across cortical areas. Detailed knowledge of the possible spectral diversity between electrophysiological and hemodynamic responses across the human cortex would be essential for neural-level interpretation of fMRI data and for informative multimodal combination of electromagnetic and hemodynamic imaging data, especially in cognitive tasks. We applied multivariate partial least squares correlation analysis to MEG–fMRI data recorded in a reading paradigm to determine the correlation patterns between the data types, at once, across the cortex. Our results revealed heterogeneous patterns of high-frequency correlation between MEG and fMRI responses, with marked dissociation between lower and higher order cortical regions. The low-frequency range showed substantial variance, with negative and positive correlations manifesting at different frequencies across cortical regions. These findings demonstrate the complexity of the neurophysiological counterparts of hemodynamic fluctuations in cognitive processing. PMID:24518260

  13. Passion’s Slave? : Conscious and Unconscious Cognitive Processes in Alcohol and Drug Abuse

    NARCIS (Netherlands)

    Wiers, R.W.; Field, M.; Stacy, A.W.; Sher, K.J.

    2016-01-01

    This chapter reviews the literature on cognitive processes in substance use disorders from a dual-process perspective. In dual-process models, behavior is viewed as the joint outcome of "impulsive" and "reflective" processes. Reflective processes rely on a single limited capacity mechanism and can

  14. Current status on image processing in medical fields in Japan

    International Nuclear Information System (INIS)

    Atsumi, Kazuhiko

    1979-01-01

    Information on medical images are classified in the two patterns. 1) off-line images on films-x-ray films, cell image, chromosome image etc. 2) on-line images detected through sensors, RI image, ultrasonic image, thermogram etc. These images are divided into three characteristic, two dimensional three dimensional and dynamic images. The research on medical image processing have been reported in several meeting in Japan and many fields on images have been studied on RI, thermogram, x-ray film, x-ray-TV image, cancer cell, blood cell, bacteria, chromosome, ultrasonics, and vascular image. Processing on TI image useful and easy because of their digital displays. Software on smoothing, restoration (iterative approximation), fourier transformation, differentiation and subtration. Image on stomach and chest x-ray films have been processed automatically utilizing computer system. Computed Tomography apparatuses have been already developed in Japan and automated screening instruments on cancer cells and recently on blood cells classification have been also developed. Acoustical holography imaging and moire topography have been also studied in Japan. (author)

  15. Fake currency detection using image processing

    Science.gov (United States)

    Agasti, Tushar; Burand, Gajanan; Wade, Pratik; Chitra, P.

    2017-11-01

    The advancement of color printing technology has increased the rate of fake currency note printing and duplicating the notes on a very large scale. Few years back, the printing could be done in a print house, but now anyone can print a currency note with maximum accuracy using a simple laser printer. As a result the issue of fake notes instead of the genuine ones has been increased very largely. India has been unfortunately cursed with the problems like corruption and black money. And counterfeit of currency notes is also a big problem to it. This leads to design of a system that detects the fake currency note in a less time and in a more efficient manner. The proposed system gives an approach to verify the Indian currency notes. Verification of currency note is done by the concepts of image processing. This article describes extraction of various features of Indian currency notes. MATLAB software is used to extract the features of the note. The proposed system has got advantages like simplicity and high performance speed. The result will predict whether the currency note is fake or not.

  16. Viewpoints on Medical Image Processing: From Science to Application.

    Science.gov (United States)

    Deserno Né Lehmann, Thomas M; Handels, Heinz; Maier-Hein Né Fritzsche, Klaus H; Mersmann, Sven; Palm, Christoph; Tolxdorff, Thomas; Wagenknecht, Gudrun; Wittenberg, Thomas

    2013-05-01

    Medical image processing provides core innovation for medical imaging. This paper is focused on recent developments from science to applications analyzing the past fifteen years of history of the proceedings of the German annual meeting on medical image processing (BVM). Furthermore, some members of the program committee present their personal points of views: (i) multi-modality for imaging and diagnosis, (ii) analysis of diffusion-weighted imaging, (iii) model-based image analysis, (iv) registration of section images, (v) from images to information in digital endoscopy, and (vi) virtual reality and robotics. Medical imaging and medical image computing is seen as field of rapid development with clear trends to integrated applications in diagnostics, treatment planning and treatment.

  17. Developments in medical image processing and computational vision

    CERN Document Server

    Jorge, Renato

    2015-01-01

    This book presents novel and advanced topics in Medical Image Processing and Computational Vision in order to solidify knowledge in the related fields and define their key stakeholders. It contains extended versions of selected papers presented in VipIMAGE 2013 – IV International ECCOMAS Thematic Conference on Computational Vision and Medical Image, which took place in Funchal, Madeira, Portugal, 14-16 October 2013.  The twenty-two chapters were written by invited experts of international recognition and address important issues in medical image processing and computational vision, including: 3D vision, 3D visualization, colour quantisation, continuum mechanics, data fusion, data mining, face recognition, GPU parallelisation, image acquisition and reconstruction, image and video analysis, image clustering, image registration, image restoring, image segmentation, machine learning, modelling and simulation, object detection, object recognition, object tracking, optical flow, pattern recognition, pose estimat...

  18. Viewpoints on Medical Image Processing: From Science to Application

    Science.gov (United States)

    Deserno (né Lehmann), Thomas M.; Handels, Heinz; Maier-Hein (né Fritzsche), Klaus H.; Mersmann, Sven; Palm, Christoph; Tolxdorff, Thomas; Wagenknecht, Gudrun; Wittenberg, Thomas

    2013-01-01

    Medical image processing provides core innovation for medical imaging. This paper is focused on recent developments from science to applications analyzing the past fifteen years of history of the proceedings of the German annual meeting on medical image processing (BVM). Furthermore, some members of the program committee present their personal points of views: (i) multi-modality for imaging and diagnosis, (ii) analysis of diffusion-weighted imaging, (iii) model-based image analysis, (iv) registration of section images, (v) from images to information in digital endoscopy, and (vi) virtual reality and robotics. Medical imaging and medical image computing is seen as field of rapid development with clear trends to integrated applications in diagnostics, treatment planning and treatment. PMID:24078804

  19. Story Processing Ability in Cognitively Healthy Younger and Older Adults

    Science.gov (United States)

    Wright, Heather Harris; Capilouto, Gilson J.; Srinivasan, Cidambi; Fergadiotis, Gerasimos

    2011-01-01

    Purpose: The purpose of the study was to examine the relationships among measures of comprehension and production for stories depicted in wordless pictures books and measures of memory and attention for 2 age groups. Method: Sixty cognitively healthy adults participated. They consisted of two groups--young adults (20-29 years of age) and older…

  20. Conceptual Transformation and Cognitive Processes in Origami Paper Folding

    Science.gov (United States)

    Tenbrink, Thora; Taylor, Holly A.

    2015-01-01

    Research on problem solving typically does not address tasks that involve following detailed and/or illustrated step-by-step instructions. Such tasks are not seen as cognitively challenging problems to be solved. In this paper, we challenge this assumption by analyzing verbal protocols collected during an Origami folding task. Participants…

  1. Short-Term Limb Immobilization Affects Cognitive Motor Processes

    Science.gov (United States)

    Toussaint, Lucette; Meugnot, Aurore

    2013-01-01

    We examined the effects of a brief period of limb immobilization on the cognitive level of action control. A splint placed on the participants' left hand was used as a means of immobilization. We used a hand mental rotation task to investigate the immobilization-induced effects on motor imagery performance (Experiments 1 and 2) and a number mental…

  2. Exploring Flipped Classroom Effects on Second Language Learners' Cognitive Processing

    Science.gov (United States)

    Kim, Jeong-eun; Park, Hyunjin; Jang, Mijung; Nam, Hosung

    2017-01-01

    This study investigated the cognitive effects of the flipped classroom approach in a content-based instructional context by comparing second language learners' discourse in flipped vs. traditional classrooms in terms of (1) participation rate, (2) content of comments, (3) reasoning skills, and (4) interactional patterns. Learners in two intact…

  3. Automatic detection of NIL defects using microscopy and image processing

    KAUST Repository

    Pietroy, David; Gereige, Issam; Gourgon, Cé cile

    2013-01-01

    patterns, sticking. In this paper, microscopic imaging combined to a specific processing algorithm is used to detect numerically defects in printed patterns. Results obtained for 1D and 2D imprinted gratings with different microscopic image magnifications

  4. Assessing cognitive processes related to insomnia: A review and measurement guide for Harvey's cognitive model for the maintenance of insomnia.

    Science.gov (United States)

    Hiller, Rachel M; Johnston, Anna; Dohnt, Hayley; Lovato, Nicole; Gradisar, Michael

    2015-10-01

    Cognitive processes play an important role in the maintenance, and treatment of sleep difficulties, including insomnia. In 2002, a comprehensive model was proposed by Harvey. Since its inception the model has received >300 citations, and provided researchers and clinicians with a framework for understanding and treating insomnia. The aim of this review is two-fold. First, we review the current literature investigating each factor proposed in Harvey's cognitive model of insomnia. Second, we summarise the psychometric properties of key measures used to assess the model's factors and mechanisms. From these aims, we demonstrate both strengths and limitations of the current knowledge of appropriate measurements associated with the model. This review aims to stimulate and guide future research in this area; and provide an understanding of the resources available to measure, target, and resolve cognitive factors that may maintain chronic insomnia. Copyright © 2014 Elsevier Ltd. All rights reserved.

  5. Insights into numerical cognition: considering eye-fixations in number processing and arithmetic.

    Science.gov (United States)

    Mock, J; Huber, S; Klein, E; Moeller, K

    2016-05-01

    Considering eye-fixation behavior is standard in reading research to investigate underlying cognitive processes. However, in numerical cognition research eye-tracking is used less often and less systematically. Nevertheless, we identified over 40 studies on this topic from the last 40 years with an increase of eye-tracking studies on numerical cognition during the last decade. Here, we review and discuss these empirical studies to evaluate the added value of eye-tracking for the investigation of number processing. Our literature review revealed that the way eye-fixation behavior is considered in numerical cognition research ranges from investigating basic perceptual aspects of processing non-symbolic and symbolic numbers, over assessing the common representational space of numbers and space, to evaluating the influence of characteristics of the base-10 place-value structure of Arabic numbers and executive control on number processing. Apart from basic results such as reading times of numbers increasing with their magnitude, studies revealed that number processing can influence domain-general processes such as attention shifting-but also the other way round. Domain-general processes such as cognitive control were found to affect number processing. In summary, eye-fixation behavior allows for new insights into both domain-specific and domain-general processes involved in number processing. Based thereon, a processing model of the temporal dynamics of numerical cognition is postulated, which distinguishes an early stage of stimulus-driven bottom-up processing from later more top-down controlled stages. Furthermore, perspectives for eye-tracking research in numerical cognition are discussed to emphasize the potential of this methodology for advancing our understanding of numerical cognition.

  6. Applying pause analysis to explore cognitive processes in the copying of sentences by second language users

    OpenAIRE

    Zulkifli, Putri Afzan Maria Binti

    2013-01-01

    Pause analysis is a method that investigates processes of writing by measuring the amount of time between pen strokes. It provides the field of second language studies with a means to explore the cognitive processes underpinning the nature of writing. This study examined the potential of using free handwritten copying of sentences as a means of investigating components of the cognitive processes of adults who have English as their Second Language (ESL).\\ud \\ud A series of one pilot and three ...

  7. Pittsburgh compound-B PET white matter imaging and cognitive function in late multiple sclerosis.

    Science.gov (United States)

    Zeydan, Burcu; Lowe, Val J; Schwarz, Christopher G; Przybelski, Scott A; Tosakulwong, Nirubol; Zuk, Samantha M; Senjem, Matthew L; Gunter, Jeffrey L; Roberts, Rosebud O; Mielke, Michelle M; Benarroch, Eduardo E; Rodriguez, Moses; Machulda, Mary M; Lesnick, Timothy G; Knopman, David S; Petersen, Ronald C; Jack, Clifford R; Kantarci, Kejal; Kantarci, Orhun H

    2018-05-01

    There is growing interest in white matter (WM) imaging with positron emission tomography (PET). We studied the association of cognitive function in late multiple sclerosis (MS) with cortical and WM Pittsburgh compound-B PET (PiB-PET) binding. In the population-based Mayo Clinic Study of Aging, 24 of 4869 participants had MS (12 underwent PiB-PET). Controls were age and sex matched (5:1). We used automated or semi-automated processing for quantitative image analyses and conditional logistic regression for group differences. MS patients had lower memory ( p = 0.03) and language ( p = 0.02) performance; smaller thalamic volumes ( p = 0.003); and thinner temporal ( p = 0.001) and frontal ( p = 0.045) cortices on magnetic resonance imaging (MRI) than controls. There was no difference in global cortical PiB standardized uptake value ratios between MS and controls ( p = 0.35). PiB uptake was lower in areas of WM hyperintensities compared to normal-appearing white matter (NAWM) in MS ( p = 0.0002). Reduced PiB uptake in both the areas of WM hyperintensities ( r = 0.65; p = 0.02) and NAWM ( r = 0.69; p = 0.01) was associated with decreased visuospatial performance in MS. PiB uptake in the cortex in late MS is not different from normal age-matched controls. PiB uptake in the WM in late MS may be a marker of the large network structures' integrity such as those involved in visuospatial performance.

  8. Heuristic and Analytic Processing: Age Trends and Associations with Cognitive Ability and Cognitive Styles.

    Science.gov (United States)

    Kokis, Judite V.; Macpherson, Robyn; Toplak, Maggie E.; West, Richard F.; Stanovich, Keith E.

    2002-01-01

    Examined developmental and individual differences in tendencies to favor analytic over heuristic responses in three tasks (inductive reasoning, deduction under belief bias conditions, probabilistic reasoning) in children varying in age and cognitive ability. Found significant increases in analytic responding with development on first two tasks.…

  9. Social Information Processing as a Mediator between Cognitive Schemas and Aggressive Behavior in Adolescents

    Science.gov (United States)

    Calvete, Esther; Orue, Izaskun

    2012-01-01

    This longitudinal investigation assessed whether cognitive schemas of justification of violence, mistrust, and narcissism predicted social information processing (SIP), and SIP in turn predicted aggressive behavior in adolescents. A total of 650 adolescents completed measures of cognitive schemas at Time 1, SIP in ambiguous social scenarios at…

  10. Reviewing the Role of Cognitive Load, Expertise Level, Motivation, and Unconscious Processing in Working Memory Performance

    Science.gov (United States)

    Kuldas, Seffetullah; Hashim, Shahabuddin; Ismail, Hairul Nizam; Abu Bakar, Zainudin

    2015-01-01

    Human cognitive capacity is unavailable for conscious processing of every amount of instructional messages. Aligning an instructional design with learner expertise level would allow better use of available working memory capacity in a cognitive learning task. Motivating students to learn consciously is also an essential determinant of the capacity…

  11. A Dual Coding Model of Processing Chinese as a Second Language: A Cognitive-Load Approach

    Science.gov (United States)

    Sham, Diana Po Lan

    2002-01-01

    The research was conducted in Sydney and Hong Kong using students, from grades 5 to 9, whose first language or teaching medium was English, learning to read Chinese as second language. According to cognitive load theory, the processing of single Chinese characters accompanied by pictures should impose extraneous cognitive load and thus hinders…

  12. Dancing Thoughts: An Examination of Children's Cognition and Creative Process in Dance

    Science.gov (United States)

    Giguere, Miriam

    2011-01-01

    The purpose of this study is to examine children's cognition within the creative process in dance and to examine how dance making affects cognitive development in children. Data on children's thinking were gathered from fifth graders participating in an artist-in-residence program in a public school in Pennsylvania. Both the inquiry and the data…

  13. Parallel Distributed Processing at 25: Further Explorations in the Microstructure of Cognition

    Science.gov (United States)

    Rogers, Timothy T.; McClelland, James L.

    2014-01-01

    This paper introduces a special issue of "Cognitive Science" initiated on the 25th anniversary of the publication of "Parallel Distributed Processing" (PDP), a two-volume work that introduced the use of neural network models as vehicles for understanding cognition. The collection surveys the core commitments of the PDP…

  14. The Cognitive Processing of Candidates during Reading Tests: Evidence from Eye-Tracking

    Science.gov (United States)

    Bax, Stephen

    2013-01-01

    The research described in this article investigates test takers' cognitive processing while completing onscreen IELTS (International English Language Testing System) reading test items. The research aims, among other things, to contribute to our ability to evaluate the cognitive validity of reading test items (Glaser, 1991; Field, in press). The…

  15. Image processing techniques for digital orthophotoquad production

    Science.gov (United States)

    Hood, Joy J.; Ladner, L. J.; Champion, Richard A.

    1989-01-01

    Orthophotographs have long been recognized for their value as supplements or alternatives to standard maps. Recent trends towards digital cartography have resulted in efforts by the US Geological Survey to develop a digital orthophotoquad production system. Digital image files were created by scanning color infrared photographs on a microdensitometer. Rectification techniques were applied to remove tile and relief displacement, thereby creating digital orthophotos. Image mosaicking software was then used to join the rectified images, producing digital orthophotos in quadrangle format.

  16. Numerical methods in image processing for applications in jewellery industry

    OpenAIRE

    Petrla, Martin

    2016-01-01

    Presented thesis deals with a problem from the field of image processing for application in multiple scanning of jewelery stones. The aim is to develop a method for preprocessing and subsequent mathematical registration of images in order to increase the effectivity and reliability of the output quality control. For these purposes the thesis summerizes mathematical definition of digital image as well as theoretical base of image registration. It proposes a method adjusting every single image ...

  17. Advances in the Application of Image Processing Fruit Grading

    OpenAIRE

    Fang , Chengjun; Hua , Chunjian

    2013-01-01

    International audience; In the perspective of actual production, the paper presents the advances in the application of image processing fruit grading from several aspects, such as processing precision and processing speed of image processing technology. Furthermore, the different algorithms about detecting size, shape, color and defects are combined effectively to reduce the complexity of each algorithm and achieve a balance between the processing precision and processing speed are keys to au...

  18. Evaluation of processing methods for static radioisotope scan images

    International Nuclear Information System (INIS)

    Oakberg, J.A.

    1976-12-01

    Radioisotope scanning in the field of nuclear medicine provides a method for the mapping of a radioactive drug in the human body to produce maps (images) which prove useful in detecting abnormalities in vital organs. At best, radioisotope scanning methods produce images with poor counting statistics. One solution to improving the body scan images is using dedicated small computers with appropriate software to process the scan data. Eleven methods for processing image data are compared

  19. Digital image processing in NDT : Application to industrial radiography

    International Nuclear Information System (INIS)

    Aguirre, J.; Gonzales, C.; Pereira, D.

    1988-01-01

    Digital image processing techniques are applied to image enhancement discontinuity detection and characterization is radiographic test. Processing is performed mainly by image histogram modification, edge enhancement, texture and user interactive segmentation. Implementation was achieved in a microcomputer with video image capture system. Results are compared with those obtained through more specialized equipment main frame computers and high precision mechanical scanning digitisers. Procedures are intended as a precious stage for automatic defect detection

  20. An integral design strategy combining optical system and image processing to obtain high resolution images

    Science.gov (United States)

    Wang, Jiaoyang; Wang, Lin; Yang, Ying; Gong, Rui; Shao, Xiaopeng; Liang, Chao; Xu, Jun

    2016-05-01

    In this paper, an integral design that combines optical system with image processing is introduced to obtain high resolution images, and the performance is evaluated and demonstrated. Traditional imaging methods often separate the two technical procedures of optical system design and imaging processing, resulting in the failures in efficient cooperation between the optical and digital elements. Therefore, an innovative approach is presented to combine the merit function during optical design together with the constraint conditions of image processing algorithms. Specifically, an optical imaging system with low resolution is designed to collect the image signals which are indispensable for imaging processing, while the ultimate goal is to obtain high resolution images from the final system. In order to optimize the global performance, the optimization function of ZEMAX software is utilized and the number of optimization cycles is controlled. Then Wiener filter algorithm is adopted to process the image simulation and mean squared error (MSE) is taken as evaluation criterion. The results show that, although the optical figures of merit for the optical imaging systems is not the best, it can provide image signals that are more suitable for image processing. In conclusion. The integral design of optical system and image processing can search out the overall optimal solution which is missed by the traditional design methods. Especially, when designing some complex optical system, this integral design strategy has obvious advantages to simplify structure and reduce cost, as well as to gain high resolution images simultaneously, which has a promising perspective of industrial application.

  1. An application of image processing techniques in computed tomography image analysis

    DEFF Research Database (Denmark)

    McEvoy, Fintan

    2007-01-01

    number of animals and image slices, automation of the process was desirable. The open-source and free image analysis program ImageJ was used. A macro procedure was created that provided the required functionality. The macro performs a number of basic image processing procedures. These include an initial...... process designed to remove the scanning table from the image and to center the animal in the image. This is followed by placement of a vertical line segment from the mid point of the upper border of the image to the image center. Measurements are made between automatically detected outer and inner...... boundaries of subcutaneous adipose tissue along this line segment. This process was repeated as the image was rotated (with the line position remaining unchanged) so that measurements around the complete circumference were obtained. Additionally, an image was created showing all detected boundary points so...

  2. Effects of image processing on the detective quantum efficiency

    Energy Technology Data Exchange (ETDEWEB)

    Park, Hye-Suk; Kim, Hee-Joung; Cho, Hyo-Min; Lee, Chang-Lae; Lee, Seung-Wan; Choi, Yu-Na [Yonsei University, Wonju (Korea, Republic of)

    2010-02-15

    The evaluation of image quality is an important part of digital radiography. The modulation transfer function (MTF), the noise power spectrum (NPS), and the detective quantum efficiency (DQE) are widely accepted measurements of the digital radiographic system performance. However, as the methodologies for such characterization have not been standardized, it is difficult to compare directly reported the MTF, NPS, and DQE results. In this study, we evaluated the effect of an image processing algorithm for estimating the MTF, NPS, and DQE. The image performance parameters were evaluated using the international electro-technical commission (IEC 62220-1)-defined RQA5 radiographic techniques. Computed radiography (CR) posterior-anterior (PA) images of a hand for measuring the signal to noise ratio (SNR), the slit images for measuring the MTF, and the white images for measuring the NPS were obtained, and various multi-Scale image contrast amplification (MUSICA) factors were applied to each of the acquired images. All of the modifications of the images obtained by using image processing had a considerable influence on the evaluated image quality. In conclusion, the control parameters of image processing can be accounted for evaluating characterization of image quality in same way. The results of this study should serve as a baseline for based on evaluating imaging systems and their imaging characteristics by MTF, NPS, and DQE measurements.

  3. Effects of image processing on the detective quantum efficiency

    International Nuclear Information System (INIS)

    Park, Hye-Suk; Kim, Hee-Joung; Cho, Hyo-Min; Lee, Chang-Lae; Lee, Seung-Wan; Choi, Yu-Na

    2010-01-01

    The evaluation of image quality is an important part of digital radiography. The modulation transfer function (MTF), the noise power spectrum (NPS), and the detective quantum efficiency (DQE) are widely accepted measurements of the digital radiographic system performance. However, as the methodologies for such characterization have not been standardized, it is difficult to compare directly reported the MTF, NPS, and DQE results. In this study, we evaluated the effect of an image processing algorithm for estimating the MTF, NPS, and DQE. The image performance parameters were evaluated using the international electro-technical commission (IEC 62220-1)-defined RQA5 radiographic techniques. Computed radiography (CR) posterior-anterior (PA) images of a hand for measuring the signal to noise ratio (SNR), the slit images for measuring the MTF, and the white images for measuring the NPS were obtained, and various multi-Scale image contrast amplification (MUSICA) factors were applied to each of the acquired images. All of the modifications of the images obtained by using image processing had a considerable influence on the evaluated image quality. In conclusion, the control parameters of image processing can be accounted for evaluating characterization of image quality in same way. The results of this study should serve as a baseline for based on evaluating imaging systems and their imaging characteristics by MTF, NPS, and DQE measurements.

  4. Signal Processing in Medical Ultrasound B-mode Imaging

    International Nuclear Information System (INIS)

    Song, Tai Kyong

    2000-01-01

    Ultrasonic imaging is the most widely used modality among modern imaging device for medical diagnosis and the system performance has been improved dramatically since early 90's due to the rapid advances in DSP performance and VLSI technology that made it possible to employ more sophisticated algorithms. This paper describes 'main stream' digital signal processing functions along with the associated implementation considerations in modern medical ultrasound imaging systems. Topics covered include signal processing methods for resolution improvement, ultrasound imaging system architectures, roles and necessity of the applications of DSP and VLSI technology in the development of the medical ultrasound imaging systems, and array signal processing techniques for ultrasound focusing

  5. An invertebrate embryologist's guide to routine processing of confocal images.

    Science.gov (United States)

    von Dassow, George

    2014-01-01

    It is almost impossible to use a confocal microscope without encountering the need to transform the raw data through image processing. Adherence to a set of straightforward guidelines will help ensure that image manipulations are both credible and repeatable. Meanwhile, attention to optimal data collection parameters will greatly simplify image processing, not only for convenience but for quality and credibility as well. Here I describe how to conduct routine confocal image processing tasks, including creating 3D animations or stereo images, false coloring or merging channels, background suppression, and compressing movie files for display.

  6. The Study of Image Processing Method for AIDS PA Test

    International Nuclear Information System (INIS)

    Zhang, H J; Wang, Q G

    2006-01-01

    At present, the main test technique of AIDS is PA in China. Because the judgment of PA test image is still depending on operator, the error ration is high. To resolve this problem, we present a new technique of image processing, which first process many samples and get the data including coordinate of center and the rang of kinds images; then we can segment the image with the data; at last, the result is exported after data was judgment. This technique is simple and veracious; and it also turns out to be suitable for the processing and analyzing of other infectious diseases' PA test image

  7. High angular resolution diffusion imaging : processing & visualization

    NARCIS (Netherlands)

    Prckovska, V.

    2010-01-01

    Diffusion tensor imaging (DTI) is a recent magnetic resonance imaging (MRI) technique that can map the orientation architecture of neural tissues in a completely non-invasive way by measuring the directional specificity (anisotropy) of the local water diffusion. However, in areas of complex fiber

  8. Emotional and cognitive social processes are impaired in Parkinson's disease and are related to behavioral disorders.

    Science.gov (United States)

    Narme, Pauline; Mouras, Harold; Roussel, Martine; Duru, Cécile; Krystkowiak, Pierre; Godefroy, Olivier

    2013-03-01

    Parkinson's disease (PD) is associated with behavioral disorders that can affect social functioning but are poorly understood. Since emotional and cognitive social processes are known to be crucial in social relationships, impairment of these processes may account for the emergence of behavioral disorders. We used a systematic battery of tests to assess emotional processes and social cognition in PD patients and relate our findings to conventional neuropsychological data (especially behavioral disorders). Twenty-three PD patients and 46 controls (matched for age and educational level) were included in the study and underwent neuropsychological testing, including an assessment of the behavioral and cognitive components of executive function. Emotional and cognitive social processes were assessed with the Interpersonal Reactivity Index caregiver-administered questionnaire (as a measure of empathy), a facial emotion recognition task and two theory of mind (ToM) tasks. When compared with controls, PD patients showed low levels of empathy (p = .006), impaired facial emotion recognition (which persisted after correction for perceptual abilities) (p = .001), poor performance in a second-order ToM task (p = .008) that assessed both cognitive (p = .004) and affective (p = .03) inferences and, lastly, frequent dysexecutive behavioral disorders (in over 40% of the patients). Overall, impaired emotional and cognitive social functioning was observed in 17% of patients and was related to certain cognitive dysexecutive disorders. In terms of behavioral dysexecutive disorders, social behavior disorders were related to impaired emotional and cognitive social functioning (p = .04) but were independent of cognitive impairments. Emotional and cognitive social processes were found to be impaired in Parkinson's disease. This impairment may account for the emergence of social behavioral disorders. PsycINFO Database Record (c) 2013 APA, all rights reserved.

  9. Sensory processing and cognitive development of preterm and full term infants

    Directory of Open Access Journals (Sweden)

    Flávia Regina Ribeiro Cavalcanti Buffone

    2016-10-01

    Full Text Available Introduction: Current studies show the repercussion of sensory processing disorder in infant neurodevelopment. Little is known about the influence of these disorders in the infant’s cognitive development, however, it is known that they negatively interfere on daily life activities and remain during life course. Objective:To evaluate the relationship between sensory processing and cognitive development in infants and the association between prematurity and sensory processing in this population. Method: This is a cross-sectional study conducted in the Childcare Outpatient Department of the Hospital das Clínicas, Federal Universidade de Pernambuco, from December 2009 to August 2010. The sample consisted of 182 infants from 8 to 15 months, of which 54 (29.7% were born preterm with the prematurity age correction made to 40 weeks of gestational age. We used the Test of Sensory Functions in Infants (TSFI to evaluate the sensory processing and the Bayley Scales of Infant and Toddler Development III to assess cognitive development. Results: There was a significantly higher frequency of at risk and deficient sensory processing among preterm infants (37% when compared to term infants (21.9%. Cognitive delay was significantly higher (8.3% in infants with at risk and deficient sensory processing when compared to those with normal sensory processing (1.5%. Conclusion: Prematurity was a risk factor for sensory processing disorder, and infants diagnosed with this disorder showed cognitive delay more frequently. Prematurity alone was not associated with cognitive delay.

  10. Medical image processing on the GPU - past, present and future.

    Science.gov (United States)

    Eklund, Anders; Dufort, Paul; Forsberg, Daniel; LaConte, Stephen M

    2013-12-01

    Graphics processing units (GPUs) are used today in a wide range of applications, mainly because they can dramatically accelerate parallel computing, are affordable and energy efficient. In the field of medical imaging, GPUs are in some cases crucial for enabling practical use of computationally demanding algorithms. This review presents the past and present work on GPU accelerated medical image processing, and is meant to serve as an overview and introduction to existing GPU implementations. The review covers GPU acceleration of basic image processing operations (filtering, interpolation, histogram estimation and distance transforms), the most commonly used algorithms in medical imaging (image registration, image segmentation and image denoising) and algorithms that are specific to individual modalities (CT, PET, SPECT, MRI, fMRI, DTI, ultrasound, optical imaging and microscopy). The review ends by highlighting some future possibilities and challenges. Copyright © 2013 Elsevier B.V. All rights reserved.

  11. COMT val108/158 met genotype affects neural but not cognitive processing in healthy individuals.

    Science.gov (United States)

    Dennis, Nancy A; Need, Anna C; LaBar, Kevin S; Waters-Metenier, Sheena; Cirulli, Elizabeth T; Kragel, James; Goldstein, David B; Cabeza, Roberto

    2010-03-01

    The relationship between cognition and a functional polymorphism in the catechol-O-methlytransferase (COMT) gene, val108/158met, is one of debate in the literature. Furthermore, based on the dopaminergic differences associated with the COMT val108/158met genotype, neural differences during cognition may be present, regardless of genotypic differences in cognitive performance. To investigate these issues the current study aimed to 1) examine the effects of COMT genotype using a large sample of healthy individuals (n = 496-1218) and multiple cognitive measures, and using a subset of the sample (n = 22), 2) examine whether COMT genotype effects medial temporal lobe (MTL) and frontal activity during successful relational memory processing, and 3) investigate group differences in functional connectivity associated with successful relational memory processing. Results revealed no significant group difference in cognitive performance between COMT genotypes in any of the 19 cognitive measures. However, in the subset sample, COMT val homozygotes exhibited significantly decreased MTL and increased prefrontal activity during both successful relational encoding and retrieval, and reduced connectivity between these regions compared with met homozygotes. Taken together, the results suggest that although the COMT val108/158met genotype has no effect on cognitive behavioral measures in healthy individuals, it is associated with differences in neural process underlying cognitive output.

  12. The Relationship between Emotional Intelligence and Cool and Hot Cognitive Processes: A Systematic Review

    Science.gov (United States)

    Gutiérrez-Cobo, María José; Cabello, Rosario; Fernández-Berrocal, Pablo

    2016-01-01

    Although emotion and cognition were considered to be separate aspects of the psyche in the past, researchers today have demonstrated the existence of an interplay between the two processes. Emotional intelligence (EI), or the ability to perceive, use, understand, and regulate emotions, is a relatively young concept that attempts to connect both emotion and cognition. While EI has been demonstrated to be positively related to well-being, mental and physical health, and non-aggressive behaviors, little is known about its underlying cognitive processes. The aim of the present study was to systematically review available evidence about the relationship between EI and cognitive processes as measured through “cool” (i.e., not emotionally laden) and “hot” (i.e., emotionally laden) laboratory tasks. We searched Scopus and Medline to find relevant articles in Spanish and English, and divided the studies following two variables: cognitive processes (hot vs. cool) and EI instruments used (performance-based ability test, self-report ability test, and self-report mixed test). We identified 26 eligible studies. The results provide a fair amount of evidence that performance-based ability EI (but not self-report EI tests) is positively related with efficiency in hot cognitive tasks. EI, however, does not appear to be related with cool cognitive tasks: neither through self-reporting nor through performance-based ability instruments. These findings suggest that performance-based ability EI could improve individuals’ emotional information processing abilities. PMID:27303277

  13. Cognitive processes in post-traumatic stress disorder

    OpenAIRE

    Yıldırımlı, Gamze; Tosun, Ahmet

    2012-01-01

    Post-Traumatic Stress Disorder (PTSD) consists of a pattern of symptoms that include cognitive, affective, sensory and behavioral systems. In PTSD, the individual experiences disturbing emotions and sensations such as anxiety, panic, depression, anger, tension, high startle response and hyper-vigilance as a result of re-experiencing traumatic memories, flashbacks, attention difficulties, memory loss, nightmares and intrusive thoughts. To get rid of these emotions, he avoids all stimuli that r...

  14. Process for Upgrading Cognitive Assessment Capabilities Onboard the International Space Station

    Science.gov (United States)

    Picano, J. J.; Seaton, K. A.; Holland, A. W.

    2016-01-01

    MOTIVATION: Spaceflight poses varied and unique risks to the brain and cognitive functioning including radiation exposure, sleep disturbance, fatigue, fluid shifts (increased intracranial pressure), toxin exposure, elevated carbon dioxide, and traumatic brain injury, among others. These potential threats to cognitive functioning are capable of degrading performance and compromising mission success. Furthermore, the threats may increase in severity, and new types of threats may emerge for longer duration exploration missions. This presentation will describe the process used to identify gaps in our current approach, evaluate best practices in cognitive assessment, and transition new cognitive assessment tools to operational use. OVERVIEW: Risks to brain health and performance posed by spaceflight missions require sensitive tools to assess cognitive functioning of astronauts in flight. The Spaceflight Cognitive Assessment Tool for Windows (WinSCAT) is the automated cognitive assessment tool currently deployed onboard the International Space Station (ISS). WinSCAT provides astronauts and flight surgeons with objective data to monitor neurocognitive functioning. WinSCAT assesses 5 discrete cognitive domains, is sensitive to changes in cognitive functioning, and was designed to be completed in less than 15 minutes. However, WinSCAT does not probe other areas of cognitive functioning that might be important to mission success. Researchers recently have developed batteries that may expand current capabilities, such as increased sensitivity to subtle fluctuations in cognitive functioning. Therefore, we engaged in a systematic process review in order to improve upon our current capabilities and incorporate new advances in cognitive assessment. This process included a literature review on newer measures of neurocognitive assessment, surveys of operational flight surgeons at NASA regarding needs and gaps in our capabilities, and expert panel review of candidate cognitive

  15. Adaptive Algorithms for Automated Processing of Document Images

    Science.gov (United States)

    2011-01-01

    ABSTRACT Title of dissertation: ADAPTIVE ALGORITHMS FOR AUTOMATED PROCESSING OF DOCUMENT IMAGES Mudit Agrawal, Doctor of Philosophy, 2011...2011 4. TITLE AND SUBTITLE Adaptive Algorithms for Automated Processing of Document Images 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM...ALGORITHMS FOR AUTOMATED PROCESSING OF DOCUMENT IMAGES by Mudit Agrawal Dissertation submitted to the Faculty of the Graduate School of the University

  16. Image Segmentation and Processing for Efficient Parking Space Analysis

    OpenAIRE

    Tutika, Chetan Sai; Vallapaneni, Charan; R, Karthik; KP, Bharath; Muthu, N Ruban Rajesh Kumar

    2018-01-01

    In this paper, we develop a method to detect vacant parking spaces in an environment with unclear segments and contours with the help of MATLAB image processing capabilities. Due to the anomalies present in the parking spaces, such as uneven illumination, distorted slot lines and overlapping of cars. The present-day conventional algorithms have difficulties processing the image for accurate results. The algorithm proposed uses a combination of image pre-processing and false contour detection ...

  17. Cingulum correlates of cognitive functions in patients with mild cognitive impairment and early Alzheimer's disease: a diffusion spectrum imaging study.

    Science.gov (United States)

    Lin, Yi-Cheng; Shih, Yao-Chia; Tseng, Wen-Yih I; Chu, Yu-Hsiu; Wu, Meng-Tien; Chen, Ta-Fu; Tang, Pei-Fang; Chiu, Ming-Jang

    2014-05-01

    Diffusion spectrum imaging (DSI) of MRI can detect neural fiber tract changes. We investigated integrity of cingulum bundle (CB) in patients with mild cognitive impairment (MCI) and early Alzheimer's disease (EAD) using DSI tractography and explored its relationship with cognitive functions. We recruited 8 patients with MCI, 9 with EAD and 15 healthy controls (HC). All subjects received a battery of neuropsychological tests to access their executive, memory and language functions. We used a 3.0-tesla MRI scanner to obtain T1- and T2-weighted images for anatomy and used a pulsed gradient twice-refocused spin-echo diffusion echo-planar imaging sequence to acquire DSI. Patients with EAD performed significantly poorer than the HC on most tests in executive and memory functions. Significantly smaller general fractional anisotropy (GFA) values were found in the posterior and inferior segments of left CB and of the anterior segment of right CB of the EAD compared with those of the HC. Spearman's correlation on the patient groups showed that GFA values of the posterior segment of the left CB were significantly negatively associated with the time used to complete Color Trails Test Part II and positively correlated with performance of the logical memory and visual reproduction. GFA values of inferior segment of bilateral CB were positively associated with the performance of visual recognition. DSI tractography demonstrates significant preferential degeneration of the CB on the left side in patients with EAD. The location-specific degeneration is associated with corresponding declines in both executive and memory functions.

  18. PARAGON-IPS: A Portable Imaging Software System For Multiple Generations Of Image Processing Hardware

    Science.gov (United States)

    Montelione, John

    1989-07-01

    Paragon-IPS is a comprehensive software system which is available on virtually all generations of image processing hardware. It is designed for an image processing department or a scientist and engineer who is doing image processing full-time. It is being used by leading R&D labs in government agencies and Fortune 500 companies. Applications include reconnaissance, non-destructive testing, remote sensing, medical imaging, etc.

  19. The radiotherapy affects the cognitive processes; La radiotherapie affecte la cognition

    Energy Technology Data Exchange (ETDEWEB)

    Anon

    2009-10-15

    Researchers from the medical center of the free university of Amsterdam report that the radiotherapy can hinder the cognitive functions of patients affected by cerebral tumors treated after a surgery. Even low dose radiation could contribute in their opinion, to the progressive cognitive decline of patients suffering of low grade gliomas, the most commune cerebral tumor. To get these conclusions, 65 patients, whom half of them received a radiotherapy, had a neurological and psychological evaluation twelve years after their treatment. Results: 53% of patients treated by radiotherapy present disorders of attention, memory, execution and speed of information treatment against 27% of these ones that received an only surgery. The researchers conclude to the necessity to take into account this risk in the choice of treatment, or even to avoid radiotherapy in this precise case. (N.C.)

  20. Novel welding image processing method based on fractal theory

    Institute of Scientific and Technical Information of China (English)

    陈强; 孙振国; 肖勇; 路井荣

    2002-01-01

    Computer vision has come into used in the fields of welding process control and automation. In order to improve precision and rapidity of welding image processing, a novel method based on fractal theory has been put forward in this paper. Compared with traditional methods, the image is preliminarily processed in the macroscopic regions then thoroughly analyzed in the microscopic regions in the new method. With which, an image is divided up to some regions according to the different fractal characters of image edge, and the fuzzy regions including image edges are detected out, then image edges are identified with Sobel operator and curved by LSM (Lease Square Method). Since the data to be processed have been decreased and the noise of image has been reduced, it has been testified through experiments that edges of weld seam or weld pool could be recognized correctly and quickly.

  1. Longitudinal functional brain imaging study in early course schizophrenia before and after cognitive enhancement therapy.

    Science.gov (United States)

    Keshavan, Matcheri S; Eack, Shaun M; Prasad, Konasale M; Haller, Chiara S; Cho, Raymond Y

    2017-05-01

    Schizophrenia is characterized by impaired -social and non social cognition both of which lead to functional deficits. These deficits may benefit from cognitive remediation, but the neural underpinnings of such improvements have not been clearly delineated. We conducted a functional magnetic resonance (fMRI) study in early course schizophrenia patients randomly assigned to cognitive enhancement therapy (CET) or enriched supportive therapy (EST) and treated for two years. Imaging data over three time points including fMRI blood oxygen level dependent (BOLD) data were acquired during performance of a cognitive control paradigm, the Preparing to Overcome Prepotency (POP) task, and functional connectivity data, were analyzed. During the two years of treatment, CET patients showed a continual increase in BOLD activity in the right dorsolateral prefrontal cortex (DLPFC), whereas EST patients tended to show no change in prefrontal brain function throughout treatment. Increases in right DLPFC activity were modestly associated with improved neurocognition (β = .14, p = .041), but not social cognition. Functional connectivity analyses showed reduced connectivity between the DLPFC and the anterior cingulate cortex (ACC) in CET compared to EST over the two years of treatment, which was associated with neurocognitive improvement. These findings suggest that CET leads to enhanced neural activity in brain regions mediating cognitive control and increased efficiency in prefrontal circuits; such changes may be related to the observed therapeutic effects of CET on neurocognitive function. Copyright © 2017. Published by Elsevier Inc.

  2. Algorithms of image processing in nuclear medicine

    International Nuclear Information System (INIS)

    Oliveira, V.A.

    1990-01-01

    The problem of image restoration from noisy measurements as encountered in Nuclear Medicine is considered. A new approach for treating the measurements wherein they are represented by a spatial noncausal interaction model prior to maximum entropy restoration is given. This model describes the statistical dependence among the image values and their neighbourhood. The particular application of the algorithms presented here relates to gamma ray imaging systems, and is aimed at improving the resolution-noise suppression product. Results for actual gamma camera data are presented and compared with more conventional techniques. (author)

  3. COBRA: A prospective multimodal imaging study of dopamine, brain structure and function, and cognition.

    Science.gov (United States)

    Nevalainen, N; Riklund, K; Andersson, M; Axelsson, J; Ögren, M; Lövdén, M; Lindenberger, U; Bäckman, L; Nyberg, L

    2015-07-01

    Cognitive decline is a characteristic feature of normal human aging. Previous work has demonstrated marked interindividual variability in onset and rate of decline. Such variability has been linked to factors such as maintenance of functional and structural brain integrity, genetics, and lifestyle. Still, few, if any, studies have combined a longitudinal design with repeated multimodal imaging and a comprehensive assessment of cognition as well as genetic and lifestyle factors. The present paper introduces the Cognition, Brain, and Aging (COBRA) study, in which cognitive performance and brain structure and function are measured in a cohort of 181 older adults aged 64 to 68 years at baseline. Participants will be followed longitudinally over a 10-year period, resulting in a total of three equally spaced measurement occasions. The measurement protocol at each occasion comprises a comprehensive set of behavioral and imaging measures. Cognitive performance is evaluated via computerized testing of working memory, episodic memory, perceptual speed, motor speed, implicit sequence learning, and vocabulary. Brain imaging is performed using positron emission tomography with [(11)C]-raclopride to assess dopamine D2/D3 receptor availability. Structural magnetic resonance imaging (MRI) is used for assessment of white and gray-matter integrity and cerebrovascular perfusion, and functional MRI maps brain activation during rest and active task conditions. Lifestyle descriptives are collected, and blood samples are obtained and stored for future evaluation. Here, we present selected results from the baseline assessment along with a discussion of sample characteristics and methodological considerations that determined the design of the study. This article is part of a Special Issue entitled SI: Memory & Aging. Copyright © 2014 The Authors. Published by Elsevier B.V. All rights reserved.

  4. The impact of translation-memory (TM) technology on cognitive processes

    DEFF Research Database (Denmark)

    Christensen, Tina Paulsen; Schjoldager, Anne

    2011-01-01

    The use of Translation-Memory (TM) technology and other translation software is bound to influence translators' cognitive processes. Unfortunately we still lack empirically founded knowledge of this. Our paper therefore presents and discusses the theoretical background, setup and preliminary...

  5. How do healthcare consumers process and evaluate comparative healthcare information? A qualitative study using cognitive interviews.

    NARCIS (Netherlands)

    Damman, O.C.; Hendriks, M.; Rademakers, J.; Delnoij, D.; Groenewegen, P.

    2009-01-01

    Background: To date, online public healthcare reports have not been effectively used by consumers. Therefore, we qualitatively examined how healthcare consumers process and evaluate comparative healthcare information on the Internet. Methods: Using semi-structured cognitive interviews, interviewees

  6. How do healthcare consumers process and evaluate comparative healthcare information? A qualitive study using cognitive interviews

    NARCIS (Netherlands)

    Damman, O.C.; Hendriks, M.; Rademakers, J.; Delnoij, D.M.J.; Groenewegen, P.P.

    2009-01-01

    Background: To date, online public healthcare reports have not been effectively used by consumers. Therefore, we qualitatively examined how healthcare consumers process and evaluate comparative healthcare information on the Internet. Methods: Using semi-structured cognitive interviews, interviewees

  7. Insight in bipolar disorder : associations with cognitive and emotional processing and illness characteristics

    NARCIS (Netherlands)

    van der Werf - Eldering, Marieke; van der Meer, Lisette; Burger, Huibert; Holthausen, Esther; Nolen, W.A.; Aleman, Andre

    Objective: To investigate the multifactorial relationship between illness insight, cognitive and emotional processes, and illness characteristics in bipolar disorder patients. Methods: Data from 85 euthymic or mildly to moderately depressed bipolar disorder patients were evaluated. Insight was

  8. Hypoperfusion in baseline and cognitively activated brain SPECT imaging of adult and elderly patients with depression

    International Nuclear Information System (INIS)

    Zhao Jinhua; Lin Xiangtong; Jiang Kaida; Ang Qiuqing; Shi Shenxun; Xue Fangping

    2000-01-01

    Objective: To evaluate the rCBF abnormalities of the baseline and cognitively activated rCBF imaging in unmedicated adult and elderly patients with depression. Methods: The subjects were divided into four groups: depressed adults, normal adult controls, depressed elders and normal elderly controls. All depressed patients were unmedicated and the diagnoses (depression of moderate degree with accompanying somatization) were confirmed by the ICD-10 criteria. Age range of the 39 depressed adult patients was 17 - 55 years. 17 age-matched normal adult controls (age range 21 - 50 years) were studied under identical conditions. The age range of 18 depressed elderly patients was 62 - 76 years. 21 age-matched normal elderly controls (age range 60 - 72 years) were studied under identical conditions. Baseline and cognitively activated 99 Tc m -ECD SPECT were performed on 25 of the 39 adult patients with depression and 17 normal adult controls. Baseline 99 Tc m -ECD SPECT only was performed on the remaining 14 patients with depression. Baseline and cognitively activated 99 Tc m -ECD SPECT were performed on 12 of the 18 elderly patients with depression and 18 of the 21 normal elderly controls. Baseline 99 Tc m -ECD SPECT only was performed on the remaining elderly patients and 3 normal elderly controls. Results: 1) The characteristic abnormalities of baseline and cognitively activated brain SPECT imaging of depression in adults: the baseline rCBF values of frontal and temporal lobe decreased significantly and the activated rCBF values of frontal, temporal lobe decreased more evidently than that in the baseline imaging and additionally decreased activated rCBF values in parietal lobe were found. 2) The characteristic abnormalities of baseline and cognitively activated brain SPECT imaging of elderly patients with depression: the baseline rCBF values of frontal, temporal lobe and right basal ganglia decreased significantly and the activated rCBF values of frontal, temporal, right

  9. Understanding Student Cognition about Complex Earth System Processes Related to Climate Change

    Science.gov (United States)

    McNeal, K. S.; Libarkin, J.; Ledley, T. S.; Dutta, S.; Templeton, M. C.; Geroux, J.; Blakeney, G. A.

    2011-12-01

    The Earth's climate system includes complex behavior and interconnections with other Earth spheres that present challenges to student learning. To better understand these unique challenges, we have conducted experiments with high-school and introductory level college students to determine how information pertaining to the connections between the Earth's atmospheric system and the other Earth spheres (e.g., hydrosphere and cryosphere) are processed. Specifically, we include psychomotor tests (e.g., eye-tracking) and open-ended questionnaires in this research study, where participants were provided scientific images of the Earth (e.g., global precipitation and ocean and atmospheric currents), eye-tracked, and asked to provide causal or relational explanations about the viewed images. In addition, the students engaged in on-line modules (http://serc.carleton.edu/eslabs/climate/index.html) focused on Earth system science as training activities to address potential cognitive barriers. The developed modules included interactive media, hands-on lessons, links to outside resources, and formative assessment questions to promote a supportive and data-rich learning environment. Student eye movements were tracked during engagement with the materials to determine the role of perception and attention on understanding. Students also completed a conceptual questionnaire pre-post to determine if these on-line curriculum materials assisted in their development of connections between Earth's atmospheric system and the other Earth systems. The pre-post results of students' thinking about climate change concepts, as well as eye-tracking results, will be presented.

  10. Dietary Sodium/Potassium Intake Does Not Affect Cognitive Function or Brain Imaging Indices.

    Science.gov (United States)

    Nowak, Kristen L; Fried, Linda; Jovanovich, Anna; Ix, Joachim; Yaffe, Kristine; You, Zhiying; Chonchol, Michel

    2018-01-01

    Dietary sodium may influence cognitive function through its effects on cerebrovascular function and cerebral blood flow. The aim of this study was to evaluate the association of dietary sodium intake with cognitive decline in community-dwelling older adults. We also evaluated the associations of dietary potassium and sodium:potassium intake with cognitive decline, and associations of these nutrients with micro- and macro-structural brain magnetic resonance imaging (MRI) indices. In all, 1,194 participants in the Health Aging and Body Composition study with measurements of dietary sodium intake (food frequency questionnaire [FFQ]) and change in the modified Mini Mental State Exam (3MS) were included. The age of participants was 74 ± 3 years with a mean dietary sodium intake of 2,677 ± 1,060 mg/day. During follow-up (6.9 ± 0.1 years), 340 (28%) had a clinically significant decline in 3MS score (≥1.5 SD of mean decline). After adjustment, dietary sodium intake was not associated with odds of cognitive decline (OR 0.96, 95% CI 0.50-1.84 per doubling of sodium). Similarly, potassium was not associated with cognitive decline; however, higher sodium:potassium intake was associated with increased odds of cognitive decline (OR 2.02 [95% CI 1.01-4.03] per unit increase). Neither sodium or potassium alone nor sodium:potassium were associated with micro- or macro-structural brain MRI indices. These results are limited by the use of FFQ. In community-dwelling older adults, higher sodium:potassium, but not sodium or potassium intake alone, was associated with decline in cognitive function, with no associations observed with micro- and macro-structural brain MRI indices. These findings do not support reduction dietary sodium/increased potassium intake to prevent cognitive decline with aging. © 2018 S. Karger AG, Basel.

  11. High-performance method of morphological medical image processing

    Directory of Open Access Journals (Sweden)

    Ryabykh M. S.

    2016-07-01

    Full Text Available the article shows the implementation of grayscale morphology vHGW algorithm for selection borders in the medical image. Image processing is executed using OpenMP and NVIDIA CUDA technology for images with different resolution and different size of the structuring element.

  12. Measurement and Image Processing Techniques for Particle Image Velocimetry Using Solid-Phase Carbon Dioxide

    Science.gov (United States)

    2014-03-27

    stereoscopic PIV: the angular displacement configuration and the translation configuration. The angular displacement configuration is most commonly used today...images were processed using ImageJ, an open-source, Java -based image processing software available from the National Institute of Health (NIH). The

  13. An Ibm PC/AT-Based Image Acquisition And Processing System For Quantitative Image Analysis

    Science.gov (United States)

    Kim, Yongmin; Alexander, Thomas

    1986-06-01

    In recent years, a large number of applications have been developed for image processing systems in the area of biological imaging. We have already finished the development of a dedicated microcomputer-based image processing and analysis system for quantitative microscopy. The system's primary function has been to facilitate and ultimately automate quantitative image analysis tasks such as the measurement of cellular DNA contents. We have recognized from this development experience, and interaction with system users, biologists and technicians, that the increasingly widespread use of image processing systems, and the development and application of new techniques for utilizing the capabilities of such systems, would generate a need for some kind of inexpensive general purpose image acquisition and processing system specially tailored for the needs of the medical community. We are currently engaged in the development and testing of hardware and software for a fairly high-performance image processing computer system based on a popular personal computer. In this paper, we describe the design and development of this system. Biological image processing computer systems have now reached a level of hardware and software refinement where they could become convenient image analysis tools for biologists. The development of a general purpose image processing system for quantitative image analysis that is inexpensive, flexible, and easy-to-use represents a significant step towards making the microscopic digital image processing techniques more widely applicable not only in a research environment as a biologist's workstation, but also in clinical environments as a diagnostic tool.

  14. The Effect of an Enrichment Reading Program on the Cognitive Processes and Neural Structures of Children Having Reading Difficulties

    Directory of Open Access Journals (Sweden)

    Hayriye Gül KURUYER

    2017-06-01

    Full Text Available The main purpose of the current study is to explain the effect of an enrichment reading program on the cognitive processes and neural structures of children experiencing reading difficulties. The current study was carried out in line with a single-subject research method and the between-subjects multiple probe design belonging to this method. This research focuses on a group of eight students with reading difficulties. Within the context of the study, memory capacities, attention spans, reading-related activation and white matter pathways of the students were determined before and after the application of the enrichment reading program. This determination process was carried out in two stages. Neuro-imaging was performed in the first stage and in the second stage the students’ cognitive processes and neural structures were investigated in terms of focusing attention and memory capacities by using the following tools: Stroop Test TBAG Form, Auditory Verbal Digit Span Test-Form B, Cancellation Test and Number Order Learning Test. The results obtained show that the enrichment reading program resulted in an improvement in the reading profiles of the students having reading difficulties in terms of their cognitive processes and neural structures.

  15. Use of personal computer image for processing a magnetic resonance image (MRI)

    International Nuclear Information System (INIS)

    Yamamoto, Tetsuo; Tanaka, Hitoshi

    1988-01-01

    Image processing of MR imaging was attempted by using a popular personal computer as 16-bit model. The computer processed the images on a 256 x 256 matrix and 512 x 512 matrix. The softwer languages for image-processing were those of Macro-Assembler performed by (MS-DOS). The original images, acuired with an 0.5 T superconducting machine (VISTA MR 0.5 T, Picker International) were transfered to the computer by the flexible disket. Image process are the display of image to monitor, other the contrast enhancement, the unsharped mask contrast enhancement, the various filter process, the edge detections or the color histogram was obtained in 1.6 sec to 67 sec, indicating that commercialzed personal computer had ability for routine clinical purpose in MRI-processing. (author)

  16. Memory biases in remitted depression: the role of negative cognitions at explicit and automatic processing levels.

    Science.gov (United States)

    Romero, Nuria; Sanchez, Alvaro; Vazquez, Carmelo

    2014-03-01

    Cognitive models propose that depression is caused by dysfunctional schemas that endure beyond the depressive episode, representing vulnerability factors for recurrence. However, research testing negative cognitions linked to dysfunctional schemas in formerly depressed individuals is still scarce. Furthermore, negative cognitions are presumed to be linked to biases in recalling negative self-referent information in formerly depressed individuals, but no studies have directly tested this association. In the present study, we evaluated differences between formerly and never-depressed individuals in several experimental indices of negative cognitions and their associations with the recall of emotional self-referent material. Formerly (n = 30) and never depressed individuals (n = 40) completed measures of explicit (i.e., scrambled sentence test) and automatic (i.e., lexical decision task) processing to evaluate negative cognitions. Furthermore participants completed a self-referent incidental recall task to evaluate memory biases. Formerly compared to never depressed individuals showed greater negative cognitions at both explicit and automatic levels of processing. Results also showed greater recall of negative self-referent information in formerly compared to never-depressed individuals. Finally, individual differences in negative cognitions at both explicit and automatic levels of processing predicted greater recall of negative self-referent material in formerly depressed individuals. Analyses of the relationship between explicit and automatic processing indices and memory biases were correlational and the majority of participants in both groups were women. Our findings provide evidence of negative cognitions in formerly depressed individuals at both automatic and explicit levels of processing that may confer a cognitive vulnerability to depression. Copyright © 2013 Elsevier Ltd. All rights reserved.

  17. Evidence for a neural dual-process account for adverse effects of cognitive control.

    Science.gov (United States)

    Zink, Nicolas; Stock, Ann-Kathrin; Colzato, Lorenza; Beste, Christian

    2018-06-09

    Advantageous effects of cognitive control are well-known, but cognitive control may also have adverse effects, for example when it suppresses the implicit processing of stimulus-response (S-R) bindings that could benefit task performance. Yet, the neurophysiological and functional neuroanatomical structures associated with adverse effects of cognitive control are poorly understood. We used an extreme group approach to compare individuals who exhibit adverse effects of cognitive control to individuals who do not by combining event-related potentials (ERPs), source localization, time-frequency analysis and network analysis methods. While neurophysiological correlates of cognitive control (i.e. N2, N450, theta power and theta-mediated neuronal network efficiency) and task-set updating (P3) both reflect control demands and implicit information processing, differences in the degree of adverse cognitive control effects are associated with two independent neural mechanisms: Individuals, who show adverse behavioral effects of cognitive control, show reduced small-world properties and thus reduced efficiency in theta-modulated networks when they fail to effectively process implicit information. In contrast to this, individuals who do not display adverse control effects show enhanced task-set updating mechanism when effectively processing implicit information, which is reflected by the P3 ERP component and associated with the temporo-parietal junction (TPJ, BA 40) and medial frontal gyrus (MFG; BA 8). These findings suggest that implicit S-R contingencies, which benefit response selection without cognitive control, are always 'picked up', but may fail to be integrated with task representations to guide response selection. This provides evidence for a neurophysiological and functional neuroanatomical "dual-process" account of adverse cognitive control effects.

  18. Does polycystic ovary syndrome affect cognition? A functional magnetic resonance imaging study exploring working memory.

    Science.gov (United States)

    Soleman, Remi S; Kreukels, Baudewijntje P C; Veltman, Dick J; Cohen-Kettenis, Peggy T; Hompes, Peter G A; Drent, Madeleine L; Lambalk, Cornelis B

    2016-05-01

    To study effects of overexposure to androgens and subsequent antiandrogenic treatment on brain activity during working memory processes in women with polycystic ovary syndrome (PCOS). In this longitudinal study, working memory function was evaluated with the use of functional magnetic resonance imaging (MRI) in women with PCOS before and after antiandrogenic treatment. Department of reproductive medicine, university medical center. Fourteen women with PCOS and with hyperandrogenism and 20 healthy control women without any features of PCOS or other hormonal disorders. Antiandrogenic hormone treatment. Functional MRI response during a working memory task. At baseline women with PCOS showed more activation than the control group within the right superior parietal lobe and the inferior parietal lobe during task (all memory conditions). Task performance (speed and accuracy) did not differ between the groups. After antiandrogenic treatment the difference in overall brain activity between the groups disappeared and accuracy in the high memory load condition of the working memory task increased in women with PCOS. Women with PCOS may need additional neural resources during a working memory task compared with women without PCOS, suggesting less efficient executive functioning. This inefficiency may have effects on daily life functioning of women with PCOS. Antiandrogenic treatment appears to have a beneficial effect on this area of cognitive functioning. NTR2493. Copyright © 2016. Published by Elsevier Inc.

  19. Improvement of Requirement Elicitation Process through Cognitive Psychology

    Directory of Open Access Journals (Sweden)

    Sana Fatima

    2017-06-01

    Full Text Available Proper requirement elicitation is necessary for client satisfaction along with the overall project success, but requirement engineers face problems in understanding user requirements and the users of the required system fail to make requirement engineering team understand what they actually want. It is then responsibility of requirement engineers to extract proper requirements. This paper discusses how to use cognitive psychology and learning style models (LSM to understand the psychology of clients. Moreover, it also discusses usage of proper elicitation technique according to one’s learning style and gather the right requirements.

  20. Advances in low-level color image processing

    CERN Document Server

    Smolka, Bogdan

    2014-01-01

    Color perception plays an important role in object recognition and scene understanding both for humans and intelligent vision systems. Recent advances in digital color imaging and computer hardware technology have led to an explosion in the use of color images in a variety of applications including medical imaging, content-based image retrieval, biometrics, watermarking, digital inpainting, remote sensing, visual quality inspection, among many others. As a result, automated processing and analysis of color images has become an active area of research, to which the large number of publications of the past two decades bears witness. The multivariate nature of color image data presents new challenges for researchers and practitioners as the numerous methods developed for single channel images are often not directly applicable to multichannel  ones. The goal of this volume is to summarize the state-of-the-art in the early stages of the color image processing pipeline.

  1. Topics in medical image processing and computational vision

    CERN Document Server

    Jorge, Renato

    2013-01-01

      The sixteen chapters included in this book were written by invited experts of international recognition and address important issues in Medical Image Processing and Computational Vision, including: Object Recognition, Object Detection, Object Tracking, Pose Estimation, Facial Expression Recognition, Image Retrieval, Data Mining, Automatic Video Understanding and Management, Edges Detection, Image Segmentation, Modelling and Simulation, Medical thermography, Database Systems, Synthetic Aperture Radar and Satellite Imagery.   Different applications are addressed and described throughout the book, comprising: Object Recognition and Tracking, Facial Expression Recognition, Image Database, Plant Disease Classification, Video Understanding and Management, Image Processing, Image Segmentation, Bio-structure Modelling and Simulation, Medical Imaging, Image Classification, Medical Diagnosis, Urban Areas Classification, Land Map Generation.   The book brings together the current state-of-the-art in the various mul...

  2. Ways of incorporating photographic images in learning and assessing high school biology: A study of visual perception and visual cognition

    Science.gov (United States)

    Nixon, Brenda Chaumont

    This study evaluated the cognitive benefits and costs of incorporating biology-textbook and student-generated photographic images into the learning and assessment processes within a 10th grade biology classroom. The study implemented Wandersee's (2000) 20-Q Model of Image-Based Biology Test-Item Design (20-Q Model) to explore the use of photographic images to assess students' understanding of complex biological processes. A thorough review of the students' textbook using ScaleMaster R with PC Interface was also conducted. The photographs, diagrams, and other representations found in the textbook were measured to determine the percentage of each graphic depicted in the book and comparisons were made to the text. The theoretical framework that guided the research included Human Constructivist tenets espoused by Mintzes, Wandersee and Novak (2000). Physiological and cognitive factors of images and image-based learning as described by Robin (1992), Solso (1997) and Wandersee (2000) were examined. Qualitative case study design presented by Yin (1994), Denzin and Lincoln (1994) was applied and data were collected through interviews, observations, student activities, student and school artifacts and Scale Master IIRTM measurements. The results of the study indicate that although 24% of the high school biology textbook is devoted to photographic images which contribute significantly to textbook cost, the teacher and students paid little attention to photographic images other than as aesthetic elements for creating biological ambiance, wasting valuable opportunities for learning. The analysis of the photographs corroborated findings published by the Association American Association for the Advancement of Science that indicated "While most of the books are lavishly illustrated, these representations are rarely helpful, because they are too abstract, needlessly complicated, or inadequately explained" (Roseman, 2000, p. 2). The findings also indicate that applying the 20-Q

  3. On the Perceptual Organization of Image Databases Using Cognitive Discriminative Biplots

    Directory of Open Access Journals (Sweden)

    Spiros Fotopoulos

    2007-01-01

    Full Text Available A human-centered approach to image database organization is presented in this study. The management of a generic image database is pursued using a standard psychophysical experimental procedure followed by a well-suited data analysis methodology that is based on simple geometrical concepts. The end result is a cognitive discriminative biplot, which is a visualization of the intrinsic organization of the image database best reflecting the user's perception. The discriminating power of the introduced cognitive biplot constitutes an appealing tool for image retrieval and a flexible interface for visual data mining tasks. These ideas were evaluated in two ways. First, the separability of semantically distinct image classes was measured according to their reduced representations on the biplot. Then, a nearest-neighbor retrieval scheme was run on the emerged low-dimensional terrain to measure the suitability of the biplot for performing content-based image retrieval (CBIR. The achieved organization performance when compared with the performance of a contemporary system was found superior. This promoted the further discussion of packing these ideas into a realizable algorithmic procedure for an efficient and effective personalized CBIR system.

  4. A meta-analysis of neurofunctional imaging studies of emotion and cognition in major depression.

    Science.gov (United States)

    Diener, Carsten; Kuehner, Christine; Brusniak, Wencke; Ubl, Bettina; Wessa, Michèle; Flor, Herta

    2012-07-02

    Major depressive disorder (MDD) is characterized by altered emotional and cognitive functioning. We performed a voxel-based whole-brain meta-analysis of functional neuroimaging data on altered emotion and cognition in MDD. Forty peer-reviewed studies in English-language published between 1998 and 2010 were included, which used functional neuroimaging during cognitive-emotional challenge in adult individuals with MDD and healthy controls. All studies reported between-groups differences for whole-brain analyses in standardized neuroanatomical space and were subjected to Activation Likelihood Estimation (ALE) of brain cluster showing altered responsivity in MDD. ALE resulted in thresholded and false discovery rate corrected hypo- and hyperactive brain regions. Against the background of a complex neural activation pattern, studies converged in predominantly hypoactive cluster in the anterior insular and rostral anterior cingulate cortex linked to affectively biased information processing and poor cognitive control. Frontal areas showed not only similar under- but also over-activation during cognitive-emotional challenge. On the subcortical level, we identified activation alterations in the thalamus and striatum which were involved in biased valence processing of emotional stimuli in MDD. These results for active conditions extend findings from ALE meta-analyses of resting state and antidepressant treatment studies and emphasize the key role of the anterior insular and rostral anterior cingulate cortex for altered emotion and cognition in MDD. Copyright © 2012 Elsevier Inc. All rights reserved.

  5. Diffusion-weighted imaging and cognition in the leukoariosis and disability in the elderly study

    DEFF Research Database (Denmark)

    Schmidt, Reinhold; Ropele, Stefan; Ferro, José

    2010-01-01

    : Increasing WMH scores were associated with a higher frequency of hypertension, a greater WMH volume, more brain atrophy, worse overall cognitive performance, and changes in ADC. We found strong associations between the peak height of the ADC histogram of whole-brain tissue and NABT with memory performance......BACKGROUND AND PURPOSE: The mechanisms by which leukoariosis impacts on clinical and cognitive functions are not yet fully understood. We hypothesized that ultrastructural abnormalities of the normal-appearing brain tissue (NABT) assessed by diffusion-weighted imaging played a major and independent...... without previous disability. WMH severity was rated according to the Fazekas score. Multivariate regression analysis served to assess correlations of histogram metrics of the apparent diffusion coefficient (ADC) of whole-brain tissue, NABT, and of the mean ADC of WMH with cognitive functions. RESULTS...

  6. Resting-state networks associated with cognitive processing show more age-related decline than those associated with emotional processing.

    Science.gov (United States)

    Nashiro, Kaoru; Sakaki, Michiko; Braskie, Meredith N; Mather, Mara

    2017-06-01

    Correlations in activity across disparate brain regions during rest reveal functional networks in the brain. Although previous studies largely agree that there is an age-related decline in the "default mode network," how age affects other resting-state networks, such as emotion-related networks, is still controversial. Here we used a dual-regression approach to investigate age-related alterations in resting-state networks. The results revealed age-related disruptions in functional connectivity in all 5 identified cognitive networks, namely the default mode network, cognitive-auditory, cognitive-speech (or speech-related somatosensory), and right and left frontoparietal networks, whereas such age effects were not observed in the 3 identified emotion networks. In addition, we observed age-related decline in functional connectivity in 3 visual and 3 motor/visuospatial networks. Older adults showed greater functional connectivity in regions outside 4 out of the 5 identified cognitive networks, consistent with the dedifferentiation effect previously observed in task-based functional magnetic resonance imaging studies. Both reduced within-network connectivity and increased out-of-network connectivity were correlated with poor cognitive performance, providing potential biomarkers for cognitive aging. Copyright © 2017 Elsevier Inc. All rights reserved.

  7. The Digital Image Processing And Quantitative Analysis In Microscopic Image Characterization

    International Nuclear Information System (INIS)

    Ardisasmita, M. Syamsa

    2000-01-01

    Many electron microscopes although have produced digital images, but not all of them are equipped with a supporting unit to process and analyse image data quantitatively. Generally the analysis of image has to be made visually and the measurement is realized manually. The development of mathematical method for geometric analysis and pattern recognition, allows automatic microscopic image analysis with computer. Image processing program can be used for image texture and structure periodic analysis by the application of Fourier transform. Because the development of composite materials. Fourier analysis in frequency domain become important for measure the crystallography orientation. The periodic structure analysis and crystal orientation are the key to understand many material properties like mechanical strength. stress, heat conductivity, resistance, capacitance and other material electric and magnetic properties. In this paper will be shown the application of digital image processing in microscopic image characterization and analysis in microscopic image

  8. Apparatus and method X-ray image processing

    International Nuclear Information System (INIS)

    1984-01-01

    The invention relates to a method for X-ray image processing. The radiation passed through the object is transformed into an electric image signal from which the logarithmic value is determined and displayed by a display device. Its main objective is to provide a method and apparatus that renders X-ray images or X-ray subtraction images with strong reduction of stray radiation. (Auth.)

  9. Framing From Experience: Cognitive Processes and Predictions of Risky Choice.

    Science.gov (United States)

    Gonzalez, Cleotilde; Mehlhorn, Katja

    2016-07-01

    A framing bias shows risk aversion in problems framed as "gains" and risk seeking in problems framed as "losses," even when these are objectively equivalent and probabilities and outcomes values are explicitly provided. We test this framing bias in situations where decision makers rely on their own experience, sampling the problem's options (safe and risky) and seeing the outcomes before making a choice. In Experiment 1, we replicate the framing bias in description-based decisions and find risk indifference in gains and losses in experience-based decisions. Predictions of an Instance-Based Learning model suggest that objective probabilities as well as the number of samples taken are factors that contribute to the lack of framing effect. We test these two factors in Experiment 2 and find no framing effect when a few samples are taken but when large samples are taken, the framing effect appears regardless of the objective probability values. Implications of behavioral results and cognitive modeling are discussed. Copyright © 2015 Cognitive Science Society, Inc.

  10. Inhibitory processes and cognitive flexibility: evidence for the theory of attentional inertia

    Directory of Open Access Journals (Sweden)

    Isabel Introzzi

    2015-07-01

    Full Text Available The aim of this study was to discriminate the differential contribution of different inhibitory processes -perceptual, cognitive and behavioral inhibition- to switching cost effect associated with alternation cognitive tasks. A correlational design was used. Several experimental paradigms (e.g., Stop signal, visual search, Stemberg´s experimental and Simon paradigm were adapted and included in a computerized program called TAC (Introzzi & Canet Juric, 2014 to the assessment of the different cognitive processes. The final sample consisted of 45 adults (18-50 years. Perceptual and behavioral inhibition shows moderate and low correlations with attentional cost, cognitive inhibition shows no relation with flexibility and only perceptual inhibition predicts switching costs effects, suggesting that different inhibitory processes contribute differentially to switch cost. This could be interpreted as evidence to Attentional Inertia Theory main argument which postulates that inhibition plays an essential role in the ability to flexibly switch between tasks and/or representations.

  11. Advances and applications of optimised algorithms in image processing

    CERN Document Server

    Oliva, Diego

    2017-01-01

    This book presents a study of the use of optimization algorithms in complex image processing problems. The problems selected explore areas ranging from the theory of image segmentation to the detection of complex objects in medical images. Furthermore, the concepts of machine learning and optimization are analyzed to provide an overview of the application of these tools in image processing. The material has been compiled from a teaching perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, and can be used for courses on Artificial Intelligence, Advanced Image Processing, Computational Intelligence, etc. Likewise, the material can be useful for research from the evolutionary computation, artificial intelligence and image processing co.

  12. Embedded processor extensions for image processing

    Science.gov (United States)

    Thevenin, Mathieu; Paindavoine, Michel; Letellier, Laurent; Heyrman, Barthélémy

    2008-04-01

    The advent of camera phones marks a new phase in embedded camera sales. By late 2009, the total number of camera phones will exceed that of both conventional and digital cameras shipped since the invention of photography. Use in mobile phones of applications like visiophony, matrix code readers and biometrics requires a high degree of component flexibility that image processors (IPs) have not, to date, been able to provide. For all these reasons, programmable processor solutions have become essential. This paper presents several techniques geared to speeding up image processors. It demonstrates that a gain of twice is possible for the complete image acquisition chain and the enhancement pipeline downstream of the video sensor. Such results confirm the potential of these computing systems for supporting future applications.

  13. Statistical processing of large image sequences.

    Science.gov (United States)

    Khellah, F; Fieguth, P; Murray, M J; Allen, M

    2005-01-01

    The dynamic estimation of large-scale stochastic image sequences, as frequently encountered in remote sensing, is important in a variety of scientific applications. However, the size of such images makes conventional dynamic estimation methods, for example, the Kalman and related filters, impractical. In this paper, we present an approach that emulates the Kalman filter, but with considerably reduced computational and storage requirements. Our approach is illustrated in the context of a 512 x 512 image sequence of ocean surface temperature. The static estimation step, the primary contribution here, uses a mixture of stationary models to accurately mimic the effect of a nonstationary prior, simplifying both computational complexity and modeling. Our approach provides an efficient, stable, positive-definite model which is consistent with the given correlation structure. Thus, the methods of this paper may find application in modeling and single-frame estimation.

  14. The operation technology of realtime image processing system (Datacube)

    Energy Technology Data Exchange (ETDEWEB)

    Cho, Jai Wan; Lee, Yong Bum; Lee, Nam Ho; Choi, Young Soo; Park, Soon Yong; Park, Jin Seok

    1997-02-01

    In this project, a Sparc VME-based MaxSparc system, running the solaris operating environment, is selected as the dedicated image processing hardware for robot vision applications. In this report, the operation of Datacube maxSparc system, which is high performance realtime image processing hardware, is systematized. And image flow example programs for running MaxSparc system are studied and analyzed. The state-of-the-arts of Datacube system utilizations are studied and analyzed. For the next phase, advanced realtime image processing platform for robot vision application is going to be developed. (author). 19 refs., 71 figs., 11 tabs.

  15. Automated processing of X-ray images in medicine

    International Nuclear Information System (INIS)

    Babij, Ya.S.; B'yalyuk, Ya.O.; Yanovich, I.A.; Lysenko, A.V.

    1991-01-01

    Theoretical and practical achievements in application of computing technology means for processing of X-ray images in medicine were generalized. The scheme of the main directions and tasks of processing of X-ray images was given and analyzed. The principal problems appeared in automated processing of X-ray images were distinguished. It is shown that for interpretation of X-ray images it is expedient to introduce a notion of relative operating characteristic (ROC) of a roentgenologist. Every point on ROC curve determines the individual criteria of roentgenologist to put a positive diagnosis for definite situation

  16. The Structure of Social Cognition: In(ter)dependence of Sociocognitive Processes.

    Science.gov (United States)

    Happé, Francesca; Cook, Jennifer L; Bird, Geoffrey

    2017-01-03

    Social cognition is a topic of enormous interest and much research, but we are far from having an agreed taxonomy or factor structure of relevant processes. The aim of this review is to outline briefly what is known about the structure of social cognition and to suggest how further progress can be made to delineate the in(ter)dependence of core sociocognitive processes. We focus in particular on several processes that have been discussed and tested together in typical and atypical (notably autism spectrum disorder) groups: imitation, biological motion, empathy, and theory of mind. We consider the domain specificity/generality of core processes in social learning, reward, and attention, and we highlight the potential relevance of dual-process theories that distinguish systems for fast/automatic and slow/effortful processing. We conclude with methodological and conceptual suggestions for future progress in uncovering the structure of social cognition.

  17. A Conceptual Model of the Cognitive Processing of Environmental Distance Information

    Science.gov (United States)

    Montello, Daniel R.

    I review theories and research on the cognitive processing of environmental distance information by humans, particularly that acquired via direct experience in the environment. The cognitive processes I consider for acquiring and thinking about environmental distance information include working-memory, nonmediated, hybrid, and simple-retrieval processes. Based on my review of the research literature, and additional considerations about the sources of distance information and the situations in which it is used, I propose an integrative conceptual model to explain the cognitive processing of distance information that takes account of the plurality of possible processes and information sources, and describes conditions under which particular processes and sources are likely to operate. The mechanism of summing vista distances is identified as widely important in situations with good visual access to the environment. Heuristics based on time, effort, or other information are likely to play their most important role when sensory access is restricted.

  18. The vision guidance and image processing of AGV

    Science.gov (United States)

    Feng, Tongqing; Jiao, Bin

    2017-08-01

    Firstly, the principle of AGV vision guidance is introduced and the deviation and deflection angle are measured by image coordinate system. The visual guidance image processing platform is introduced. In view of the fact that the AGV guidance image contains more noise, the image has already been smoothed by a statistical sorting. By using AGV sampling way to obtain image guidance, because the image has the best and different threshold segmentation points. In view of this situation, the method of two-dimensional maximum entropy image segmentation is used to solve the problem. We extract the foreground image in the target band by calculating the contour area method and obtain the centre line with the least square fitting algorithm. With the help of image and physical coordinates, we can obtain the guidance information.

  19. Image processing for drift compensation in fluorescence microscopy

    DEFF Research Database (Denmark)

    Petersen, Steffen; Thiagarajan, Viruthachalam; Coutinho, Isabel

    2013-01-01

    Fluorescence microscopy is characterized by low background noise, thus a fluorescent object appears as an area of high signal/noise. Thermal gradients may result in apparent motion of the object, leading to a blurred image. Here, we have developed an image processing methodology that may remove....../reduce blur significantly for any type of microscopy. A total of ~100 images were acquired with a pixel size of 30 nm. The acquisition time for each image was approximately 1second. We can quantity the drift in X and Y using the sub pixel accuracy computed centroid location of an image object in each frame....... We can measure drifts down to approximately 10 nm in size and a drift-compensated image can therefore be reconstructed on a grid of the same size using the “Shift and Add” approach leading to an image of identical size asthe individual image. We have also reconstructed the image using a 3 fold larger...

  20. Digital image sequence processing, compression, and analysis

    CERN Document Server

    Reed, Todd R

    2004-01-01

    IntroductionTodd R. ReedCONTENT-BASED IMAGE SEQUENCE REPRESENTATIONPedro M. Q. Aguiar, Radu S. Jasinschi, José M. F. Moura, andCharnchai PluempitiwiriyawejTHE COMPUTATION OF MOTIONChristoph Stiller, Sören Kammel, Jan Horn, and Thao DangMOTION ANALYSIS AND DISPLACEMENT ESTIMATION IN THE FREQUENCY DOMAINLuca Lucchese and Guido Maria CortelazzoQUALITY OF SERVICE ASSESSMENT IN NEW GENERATION WIRELESS VIDEO COMMUNICATIONSGaetano GiuntaERROR CONCEALMENT IN DIGITAL VIDEOFrancesco G.B. De NataleIMAGE SEQUENCE RESTORATION: A WIDER PERSPECTIVEAnil KokaramVIDEO SUMMARIZATIONCuneyt M. Taskiran and Edward