WorldWideScience

Sample records for subscriber segment acquires

  1. Neutrophil Segmentation Index Anomaly in Acquired ...

    African Journals Online (AJOL)

    Neutrophil lobe count was conducted on the blood films of 262 patients with the Acquired Immunodeficiency Syndrome Virus (AIDS) and 204 Human Immunodeficiency Virus (HIV) antibody-negative apparently healthy controls. The count for each group was evaluated for neutrophil segmentation index by standard method.

  2. Robust optic nerve segmentation on clinically acquired computed tomography.

    Science.gov (United States)

    Harrigan, Robert L; Panda, Swetasudha; Asman, Andrew J; Nelson, Katrina M; Chaganti, Shikha; DeLisi, Michael P; Yvernault, Benjamin C W; Smith, Seth A; Galloway, Robert L; Mawn, Louise A; Landman, Bennett A

    2014-10-01

    The optic nerve (ON) plays a critical role in many devastating pathological conditions. Segmentation of the ON has the ability to provide understanding of anatomical development and progression of diseases of the ON. Recently, methods have been proposed to segment the ON but progress toward full automation has been limited. We optimize registration and fusion methods for a new multi-atlas framework for automated segmentation of the ONs, eye globes, and muscles on clinically acquired computed tomography (CT) data. Briefly, the multi-atlas approach consists of determining a region of interest within each scan using affine registration, followed by nonrigid registration on reduced field of view atlases, and performing statistical fusion on the results. We evaluate the robustness of the approach by segmenting the ON structure in 501 clinically acquired CT scan volumes obtained from 183 subjects from a thyroid eye disease patient population. A subset of 30 scan volumes was manually labeled to assess accuracy and guide method choice. Of the 18 compared methods, the ANTS Symmetric Normalization registration and nonlocal spatial simultaneous truth and performance level estimation statistical fusion resulted in the best overall performance, resulting in a median Dice similarity coefficient of 0.77, which is comparable with inter-rater (human) reproducibility at 0.73.

  3. EBULLETIN: SUBSCRIBE NOW!

    CERN Multimedia

    2002-01-01

    You can now subscribe to the Web version of the Weekly Bulletin. With the new alert system, you will receive an e-mail message every Friday at 8.00 a.m. with the Web link to the latest issue. It is very easy to subscribe, just click on the link 'Subscribe' on the home page of the electronic Bulletin.

  4. Early syllabic segmentation of fluent speech by infants acquiring French.

    Science.gov (United States)

    Goyet, Louise; Nishibayashi, Léo-Lyuki; Nazzi, Thierry

    2013-01-01

    Word form segmentation abilities emerge during the first year of life, and it has been proposed that infants initially rely on two types of cues to extract words from fluent speech: Transitional Probabilities (TPs) and rhythmic units. The main goal of the present study was to use the behavioral method of the Headturn Preference Procedure (HPP) to investigate again rhythmic segmentation of syllabic units by French-learning infants at the onset of segmentation abilities (around 8 months) given repeated failure to find syllabic segmentation at such a young age. The second goal was to explore the interaction between the use of TPs and syllabic units for segmentation by French-learning infants. The rationale was that decreasing TP cues around target syllables embedded in bisyllabic words would block bisyllabic word segmentation and facilitate the observation of syllabic segmentation. In Experiments 1 and 2, infants were tested in a condition of moderate TP decrease; no evidence of either syllabic or bisyllabic word segmentation was found. In Experiment 3, infants were tested in a condition of more marked TP decrease, and a novelty syllabic segmentation effect was observed. Therefore, the present study first establishes early syllabic segmentation in French-learning infants, bringing support from a syllable-based language to the proposal that rhythmic units are used at the onset of segmentation abilities. Second, it confirms that French-learning infants are sensitive to TP cues. Third, it demonstrates that they are sensitive to the relative weight of TP and rhythmic cues, explaining why effects of syllabic segmentation are not observed in context of high TPs. These findings are discussed in relation to theories of word segmentation bootstrapping, and the larger debate about statistically- versus prosodically-based accounts of early language acquisition.

  5. Early syllabic segmentation of fluent speech by infants acquiring French.

    Directory of Open Access Journals (Sweden)

    Louise Goyet

    Full Text Available Word form segmentation abilities emerge during the first year of life, and it has been proposed that infants initially rely on two types of cues to extract words from fluent speech: Transitional Probabilities (TPs and rhythmic units. The main goal of the present study was to use the behavioral method of the Headturn Preference Procedure (HPP to investigate again rhythmic segmentation of syllabic units by French-learning infants at the onset of segmentation abilities (around 8 months given repeated failure to find syllabic segmentation at such a young age. The second goal was to explore the interaction between the use of TPs and syllabic units for segmentation by French-learning infants. The rationale was that decreasing TP cues around target syllables embedded in bisyllabic words would block bisyllabic word segmentation and facilitate the observation of syllabic segmentation. In Experiments 1 and 2, infants were tested in a condition of moderate TP decrease; no evidence of either syllabic or bisyllabic word segmentation was found. In Experiment 3, infants were tested in a condition of more marked TP decrease, and a novelty syllabic segmentation effect was observed. Therefore, the present study first establishes early syllabic segmentation in French-learning infants, bringing support from a syllable-based language to the proposal that rhythmic units are used at the onset of segmentation abilities. Second, it confirms that French-learning infants are sensitive to TP cues. Third, it demonstrates that they are sensitive to the relative weight of TP and rhythmic cues, explaining why effects of syllabic segmentation are not observed in context of high TPs. These findings are discussed in relation to theories of word segmentation bootstrapping, and the larger debate about statistically- versus prosodically-based accounts of early language acquisition.

  6. Robust optic nerve segmentation on clinically acquired CT

    Science.gov (United States)

    Panda, Swetasudha; Asman, Andrew J.; DeLisi, Michael P.; Mawn, Louise A.; Galloway, Robert L.; Landman, Bennett A.

    2014-03-01

    The optic nerve is a sensitive central nervous system structure, which plays a critical role in many devastating pathological conditions. Several methods have been proposed in recent years to segment the optic nerve automatically, but progress toward full automation has been limited. Multi-atlas methods have been successful for brain segmentation, but their application to smaller anatomies remains relatively unexplored. Herein we evaluate a framework for robust and fully automated segmentation of the optic nerves, eye globes and muscles. We employ a robust registration procedure for accurate registrations, variable voxel resolution and image fieldof- view. We demonstrate the efficacy of an optimal combination of SyN registration and a recently proposed label fusion algorithm (Non-local Spatial STAPLE) that accounts for small-scale errors in registration correspondence. On a dataset containing 30 highly varying computed tomography (CT) images of the human brain, the optimal registration and label fusion pipeline resulted in a median Dice similarity coefficient of 0.77, symmetric mean surface distance error of 0.55 mm, symmetric Hausdorff distance error of 3.33 mm for the optic nerves. Simultaneously, we demonstrate the robustness of the optimal algorithm by segmenting the optic nerve structure in 316 CT scans obtained from 182 subjects from a thyroid eye disease (TED) patient population.

  7. Early Word Segmentation in Infants Acquiring Parisian French: Task-Dependent and Dialect-Specific Aspects

    Science.gov (United States)

    Nazzi, Thierry; Mersad, Karima; Sundara, Megha; Iakimova, Galina; Polka, Linda

    2014-01-01

    Six experiments explored Parisian French-learning infants' ability to segment bisyllabic words from fluent speech. The first goal was to assess whether bisyllabic word segmentation emerges later in infants acquiring European French compared to other languages. The second goal was to determine whether infants learning different dialects of the same…

  8. Subscribing to Transparency

    DEFF Research Database (Denmark)

    He, Yinghua; Nielsson, Ulf; Guo, Hong

    2014-01-01

    The paper empirically explores how more trade transparency affects market liquidity. The analysis takes advantage of a unique setting in which the Shanghai Stock Exchange offered more trade transparency to market participants subscribing to a new software package. First, the results show...... that the additional data disclosure increased trading activity, but also increased transactions costs through wider bid-ask spreads. Thus, in contrast to popular policy belief, the paper finds that more transparency need not improve market liquidity. Second, the paper finds a particularly strong immediate liquidity...... impact accompanied by altered trading behavior, which suggests a significant impact on institutional traders subscribing relatively early. Lastly, since the effective level of market transparency is bound to depend on how many traders are subscribing to the data, the study can empirically establish...

  9. Subscribing to Transparency

    DEFF Research Database (Denmark)

    He, Yinghua; Nielsson, Ulf; Guo, Hong

    The paper empirically explores how more trade transparency affects market liquidity. The analysis takes advantage of a unique setting in which the Shanghai Stock Exchange offered more trade transparency to market participants subscribing to a new software package. First, the results show...... that the additional data disclosure increased trading activity, but also increased transactions costs through wider bid-ask spreads. Thus, in contrast to popular policy belief, the paper finds that more transparency need not improve market liquidity. Second, the paper finds a particularly strong immediate liquidity...... impact accompanied by altered trading behavior, which suggests a significant impact on institutional traders subscribing relatively early. Lastly, since the effective level of market transparency is bound to depend on how many traders are subscribing to the data, the study can empirically establish...

  10. Anterior segment manifestations of human immunodeficiency virus/acquired immune deficiency syndrome

    Directory of Open Access Journals (Sweden)

    Biswas Jyotirmay

    2008-01-01

    Full Text Available Ocular complications are known to occur as a result of human immunodeficiency virus (HIV disease. They can be severe leading to ocular morbidity and visual handicap. Cytomegalovirus (CMV retinitis is the commonest ocular opportunistic infection seen in acquired immune deficiency syndrome (AIDS. Though posterior segment lesions can be more vision-threatening, there are varied anterior segment manifestations which can also lead to ocular morbidity and more so can affect the quality of life of a HIV-positive person. Effective antiretroviral therapy and improved prophylaxis and treatment of opportunistic infections have led to an increase in the survival of an individual afflicted with AIDS. This in turn has led to an increase in the prevalence of anterior segment and adnexal disorders. Common lesions include relatively benign conditions such as blepharitis and dry eye, to infections such as herpes zoster ophthalmicus and molluscum contagiosum and malignancies such as squamous cell carcinoma and Kaposi′s sarcoma. With the advent of highly active antiretroviral therapy, a new phenomenon known as immune recovery uveitis which presents with increased inflammation, has been noted to be on the rise. Several drugs used in the management of AIDS such as nevirapine or indinavir can themselves lead to severe inflammation in the anterior segment and adnexa of the eye. This article is a comprehensive update of the important anterior segment and adnexal manifestations in HIV-positive patients with special reference to their prevalence in the Indian population.

  11. An eye movement based reading intervention in lexical and segmental readers with acquired dyslexia.

    Science.gov (United States)

    Ablinger, Irene; von Heyden, Kerstin; Vorstius, Christian; Halm, Katja; Huber, Walter; Radach, Ralph

    2014-01-01

    Due to their brain damage, aphasic patients with acquired dyslexia often rely to a greater extent on lexical or segmental reading procedures. Thus, therapy intervention is mostly targeted on the more impaired reading strategy. In the present work we introduce a novel therapy approach based on real-time measurement of patients' eye movements as they attempt to read words. More specifically, an eye movement contingent technique of stepwise letter de-masking was used to support sequential reading, whereas fixation-dependent initial masking of non-central letters stimulated a lexical (parallel) reading strategy. Four lexical and four segmental readers with acquired central dyslexia received our intensive reading intervention. All participants showed remarkable improvements as evident in reduced total reading time, a reduced number of fixations per word and improved reading accuracy. Both types of intervention led to item-specific training effects in all subjects. A generalisation to untrained items was only found in segmental readers after the lexical training. Eye movement analyses were also used to compare word processing before and after therapy, indicating that all patients, with one exclusion, maintained their preferred reading strategy. However, in several cases the balance between sequential and lexical processing became less extreme, indicating a more effective individual interplay of both word processing routes.

  12. Automated segmentation and enhancement of optical coherence tomography-acquired images of rodent brain.

    Science.gov (United States)

    Baran, Utku; Zhu, Wenbin; Choi, Woo June; Omori, Michael; Zhang, Wenri; Alkayed, Nabil J; Wang, Ruikang K

    2016-09-01

    Optical coherence tomography (OCT) is a non-invasive optical imaging method that has proven useful in various fields such as ophthalmology, dermatology and neuroscience. In ophthalmology, significant progress has been made in retinal layer segmentation and enhancement of OCT images. There are also segmentation algorithms to separate epidermal and dermal layers in OCT-acquired images of human skin. We describe simple image processing methods that allow automatic segmentation and enhancement of OCT images of rodent brain. We demonstrate the effectiveness of the proposed methods for OCT-based microangiography (OMAG) and tissue injury mapping (TIM) of mouse cerebral cortex. The results show significant improvement in image contrast, delineation of tissue injury, allowing visualization of different layers of capillary beds. Previously reported methods for other applications are yet to be used in neuroscience due to the complexity of tissue anatomy, unique physiology and technical challenges. OCT is a promising tool that provides high resolution in vivo microvascular and structural images of rodent brain. By automatically segmenting and enhancing OCT images, structural and microvascular changes in mouse cerebral cortex after stroke can be monitored in vivo with high contrast. Copyright © 2016 Elsevier B.V. All rights reserved.

  13. Multi-Parameter Ensemble Learning for Automated Vertebral Body Segmentation in Heterogeneously Acquired Clinical MR Images.

    Science.gov (United States)

    Gaonkar, Bilwaj; Xia, Yihao; Villaroman, Diane S; Ko, Allison; Attiah, Mark; Beckett, Joel S; Macyszyn, Luke

    2017-01-01

    The development of quantitative imaging biomarkers in medicine requires automatic delineation of relevant anatomical structures using available imaging data. However, this task is complicated in clinical medicine due to the variation in scanning parameters and protocols, even within a single medical center. Existing literature on automatic image segmentation using MR data is based on the analysis of highly homogenous images obtained using a fixed set of pulse sequence parameters (TR/TE). Unfortunately, algorithms that operate on fixed scanning parameters do not avail themselves to real-world daily clinical use due to the existing variation in scanning parameters and protocols. Thus, it is necessary to develop algorithmic techniques that can address the challenge of MR image segmentation using real clinical data. Toward this goal, we developed a multi-parametric ensemble learning technique to automatically detect and segment lumbar vertebral bodies using MR images of the spine. We use spine imaging data to illustrate our techniques since low back pain is an extremely common condition and a typical spine clinic evaluates patients that have been referred with a wide range of scanning parameters. This method was designed with special emphasis on robustness so that it can perform well despite the inherent variation in scanning protocols. Specifically, we show how a single multi-parameter ensemble model trained with manually labeled T2 scans can autonomously segment vertebral bodies on scans with echo times varying between 24 and 147 ms and relaxation times varying between 1500 and 7810 ms. Furthermore, even though the model was trained using T2-MR imaging data, it can accurately segment vertebral bodies on T1-MR and CT, further demonstrating the robustness and versatility of our methodology. We believe that robust segmentation techniques, such as the one presented here, are necessary for translating computer assisted diagnosis into everyday clinical practice.

  14. Asymmetric Digital Subscriber Line (ADSL

    Directory of Open Access Journals (Sweden)

    Slavko Šarić

    2012-10-01

    Full Text Available ADSL (Asymmetric Digital Subscriber Line is a technologythat allows transmission at 8.488 Mbps over the existingtelephone copper line (speed range depending on the distance.ADSL circuit connects the ADSL modems by twisted-pairtelephone lines creating three infonnation channels: high speedsimplex (maximum 9 Mbps, medium speed duplex channel(maximum 2 Mbps and plain old telephone service channel.ADSL technology supports up to seven synchronous channelsthat can be configured to meet the needs of the end user.One could simultaneously view four movies stored in MPEG 1fonnat on separate television sets (MPEG 1 transmitted at 1.5Mbps, hold a video-conference (transmitted at 348 kbps,download data files from a server at 128 kbps via ISDN andeven receive a telephone call.

  15. Word Segmentation in Monolingual Infants Acquiring Canadian English and Canadian French: Native Language, Cross-Dialect, and Cross-Language Comparisons

    Science.gov (United States)

    Polka, Linda; Sundara, Megha

    2012-01-01

    In five experiments, we tested segmentation of word forms from natural speech materials by 8-month-old monolingual infants who are acquiring Canadian French or Canadian English. These two languages belong to different rhythm classes; Canadian French is syllable-timed and Canada English is stress-timed. Findings of Experiments 1, 2, and 3 show that…

  16. Publish Subscribe Systems Design and Principles

    CERN Document Server

    Tarkoma, Sasu

    2012-01-01

    This book offers an unified treatment of the problems solved by publish/subscribe, how to design and implement the solutions In this book, the author provides an insight into the publish/subscribe technology including the design, implementation, and evaluation of new systems based on the technology.  The book also addresses the basic design patterns and solutions, and discusses their application in practical application scenarios. Furthermore, the author examines current standards and industry best practices as well as recent research proposals in the area. Finally, necessary content ma

  17. Funding Alert Subscribe Confirmation | IDRC - International ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    Thank you. Please check your email ( ) to confirm your subscription to the IDRC Funding Alerts. Please note: the link in your confirmation email is valid for 3 days, so please reply promptly. We fund researchers driving global change. Careers · Contact Us · Subscribe · Unsubscribe · Site map. Follow us; Facebook · Twitter ...

  18. Subscribe to Newsletter | IDRC - International Development ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    Innovation. Solutions. Careers · Contact Us · Site map. Sign up now for IDRC news and views sent directly to your inbox each month. Subscribe · Copyright · Open access policy · Privacy policy · Research ethics · Transparency · Website usage. Follow us; Facebook · Twitter · Youtube · Linked In · RSS Feed. © 2016 IDRC.

  19. Reconfiguration Service for Publish/Subscribe Middleware

    NARCIS (Netherlands)

    Zieba, Bogumil; Glandrup, Maurice; van Sinderen, Marten J.; Wegdam, M.

    2006-01-01

    Mission-critical, distributed systems are often designed as a set of distributed, components that interact using publish/subscribe middleware. Currently, in these systems, software components are usually statically allocated to the nodes to fulfil predictability, reliability requirements. However, a

  20. Mathematical model of subscriber extension line

    OpenAIRE

    Petříková, Iva; Diviš, Zdeněk; Tesař, Zdeněk

    2012-01-01

    The paper focuses on measurement properties of metallic subscriber extension lines to build regression mathematical model for a symmetric pair cable. The regression model is compared with an analytical model based on a theoretical description of transfer parameters for this type of line. The output of the paper should demonstrate the impact of electromagnetic interference on the symmetric pair. The paper also describes the method to identify the interference sources and ...

  1. A Classification-Segmentation Framework for the Detection of Individual Trees in Dense MMS Point Cloud Data Acquired in Urban Areas

    Directory of Open Access Journals (Sweden)

    Martin Weinmann

    2017-03-01

    Full Text Available In this paper, we present a novel framework for detecting individual trees in densely sampled 3D point cloud data acquired in urban areas. Given a 3D point cloud, the objective is to assign point-wise labels that are both class-aware and instance-aware, a task that is known as instance-level segmentation. To achieve this, our framework addresses two successive steps. The first step of our framework is given by the use of geometric features for a binary point-wise semantic classification with the objective of assigning semantic class labels to irregularly distributed 3D points, whereby the labels are defined as “tree points” and “other points”. The second step of our framework is given by a semantic segmentation with the objective of separating individual trees within the “tree points”. This is achieved by applying an efficient adaptation of the mean shift algorithm and a subsequent segment-based shape analysis relying on semantic rules to only retain plausible tree segments. We demonstrate the performance of our framework on a publicly available benchmark dataset, which has been acquired with a mobile mapping system in the city of Delft in the Netherlands. This dataset contains 10.13 M labeled 3D points among which 17.6 % are labeled as “tree points”. The derived results clearly reveal a semantic classification of high accuracy (up to 90.77 % and an instance-level segmentation of high plausibility, while the simplicity, applicability and efficiency of the involved methods even allow applying the complete framework on a standard laptop computer with a reasonable processing time (less than 2.5 h.

  2. Subscriber loop optical distribution architecture: a cost-effective TDM/TDMA subscriber loop system

    Science.gov (United States)

    Rueda, Javier; Eldering, Charles A.

    1992-02-01

    While it is clear that the development of the laser and low loss optical fiber has had an unmistakable impact on the field of telecommunications, the deployment of optical fiber in the subscriber (local) loop is an especially challenging task. It requires development of low cost equipment that will initially be used at low bit rates (Transmission of TV data, in either analog or digital form, will make more efficient use of the fiber bandwidth and generate additional revenues. But as seen from the perspective of the telephony industry, basic telephone services are the principal source of revenue and economic justification for the installation of subscriber loop fiber systems. For large scale deployment in the subscriber loop, the fiber optic system must provide basic telephone services with equal or better performance at a cost that is competitive with that of existing copper pair technology. In this paper we examine a number of possible fiber-to-the-home (FTTH) and fiber-to-the-curb (FTTC) architectures, and present an architecture for urban areas that is best classified as fiber-to-the-building (FTTB). We examine the costs and performance characteristics of the various networks. We show how demographic information can be used to optimize the capacity of the remote terminals. It is shown that for the demography of Spain (where in urban areas the majority of the population resides in apartment buildings with 10 or more dwellings) a remote terminal with a variable subscriber capacity presents a cost savings over remote terminals with a fixed number of subscriber channels.

  3. 47 CFR 10.270 - Subscribers' right to terminate subscription.

    Science.gov (United States)

    2010-10-01

    ... 47 Telecommunication 1 2010-10-01 2010-10-01 false Subscribers' right to terminate subscription. 10.270 Section 10.270 Telecommunication FEDERAL COMMUNICATIONS COMMISSION GENERAL COMMERCIAL MOBILE ALERT SYSTEM Election to Participate in Commercial Mobile Alert System § 10.270 Subscribers' right to...

  4. Utilization and challenges of online subscribed databases by ...

    African Journals Online (AJOL)

    The paper investigated the Utilization and Challenges of Online Databases Subscribed to by university libraries in Katsina State. Objectives of the study were to find out the types of online subscribed databases used by academics in universities in Katsina; the extent to which the academics in the universities use the online ...

  5. Motif Subscriber Menonton Channel YouTube Raditya Dika

    OpenAIRE

    Mellyaningsih, Adinda

    2016-01-01

    Penelitian ini dilakukan untuk mengetahui motif para subscriber dalam menonton channelYouTube Raditya Dika. Raditya Dika merupakan YouTuber Indonesia dengan jumlah subscriber terbanyak dan merupakan orang pertama di Indonesia yang mendapatkan penghargaan Certifies Award oleh YouTube. Peneliti menggunakan teori Uses and Gratification dengan empat indikator, yaitu hiburan dan relaksasi, hubungan antar pribadi, mencari informasi, dan persahabatan. Metode dalam penelitian ini adalah online survei...

  6. Subscribers' Complaints and Response of the Global Satellite ...

    African Journals Online (AJOL)

    The GSM subscribers on their part also face many problems, major of which is constant network failure. Other problems include card recharging problem; checking of balance difficulty and wrong deduction of credit. The study was therefore designed to examine how the GSM Network operators respond to the complaints of ...

  7. Subscribe to NIH MedlinePlus the Magazine

    Science.gov (United States)

    ... turn Javascript on. Subscribe to NIH MedlinePlus the magazine NIH MedlinePlus the magazine is published quarterly, in print and on the ... up for a free subscription to NIH MedlinePlus Magazine. Librarians may order this magazine in bulk . Please ...

  8. The new OGC Publish-Subscribe specification - status of work

    Science.gov (United States)

    Bigagli, Lorenzo; Echterhoff, Johannes; Braeckel, Aaron

    2013-04-01

    We relate on the work of the Open Geospatial Consortium Publish/Subscribe Standards Working Group (in short, OGC PubSub SWG), which investigates a mechanism to support publish/subscribe requirements across OGC service interfaces and data types (coverage, feature, etc.) Two primary parties characterize the publish/subscribe model: a Publisher, which is publishing information, and a Subscriber, which expresses an interest in all or part of the published information. The publish/subscribe model is distinguished from the request/reply and client/server models by the asynchronous delivery of messages and the ability for a Subscriber to specify an ongoing (persistent) expression of interest. The publish/subscribe model can be useful to reduce the latency between event occurrence and event notification, as it is the Publisher's responsibility to publish a message when the event occurs, rather than relying on clients to anticipate the occurrence. The publish/subscribe model can also be used to decouple message production from message consumption by allowing messages to be passed through a third party (a message broker). OGC services such as WMS and WFS have primarily addressed the request/reply model because it is sufficient to meet many use cases. Clients request data of interest when it is needed and may periodically request updates. Request/reply may be supplemented with publish/subscribe, in which case the initial state of interest may be requested via request/reply, and then a subscription may be created so that changes and updates are delivered. This can result in less or more predictable network traffic. The PubSub SWG aims at a unified solution based on existing, well-adopted IT standards, taking into account previous work and discussions, such as the activities of OASIS and W3C on WS-Notification, relevant IETF RFCs such as ATOM and XMPP, as well as the experience gained through the OGC Interoperability and Standards Programs. The SWG was chartered in 2010. Its

  9. Subscriber Behavior and Attitudes One Year after PM-AM Conversion.

    Science.gov (United States)

    Rarick, Galen R.; Lemert, James B.

    Because newspapers have begun switching from evening to morning publication with increasing frequency, a study investigated subscriber response to change in publication time and in subscriber behavior over time. In follow-up to an earlier study on subscriber reactions to the conversion to morning publication of the weekday Eugene (Oregon)…

  10. MOBILE SUBSCRIBERS' SATISFACTION TOWARDS SERVICE QUALITY IN TUTICORIN DIST

    OpenAIRE

    Asst. Prof. S. Anthony Rahul Golden

    2017-01-01

    Due to huge competition in the service sector, service providers have to focus on lots of aspects in connection with satisfying the customer. Especially, the providers need to focus on increasing the service quality to maintain their position in the competitive market. Subscribers’ satisfaction is one of the determinants of service quality and perception carried by subscribers plays an important role in choosing a mobile service provider. This paper presents a service quality analysis of mobi...

  11. Fiber-optic subscriber system based on passive optical network architecture

    Energy Technology Data Exchange (ETDEWEB)

    Kitazawa, M.; Yamazaki, M.; Himi, S. (Hitachi, Ltd., Tokyo (Japan))

    1994-04-01

    The subscriber line terminal and optical network unit were developed for the fiber-optic subscriber system based on a passive double star (PDS) optical network architecture which allows narrowband ISDN (integrated services digital network) services and video image transmission. Various LSIs were developed to implement the major system functions such as fast bit-synchronization, time division multiple access control, subscriber multiplexing/demultiplexing and 16-channel multiprocessing. For the optical interface module, the wavelength division multiplexing chip was hermetically sealed together with laser diode and photodiode chips by adopting high-silica based optical-waveguide technology to reduce a system dimension. The PDS fiber-optic subscriber system is useful for construction of economic optical subscriber networks because it allows multiple subscribers to share a single optical transmission line and a central equipment unit through a star coupler. 4 refs., 10 figs., 1 tab.

  12. Transmission Delay Modeling of Packet Communication over Digital Subscriber Line

    Directory of Open Access Journals (Sweden)

    Jiri Vodrazka

    2013-01-01

    Full Text Available Certain multimedia and voice services, such as VoIP, IPTV, etc., are significantly delay sensitive and their performance is influenced by the overall transmission delay and its variance. One of the most common solutions used in access networks are xDSL lines, especially ADSL2+ or VDSL2. Although these subscriber lines also use packet communication, there are several differences and mechanisms, which influence their resulting delay. Their delay characteristics are also dependent on the individual settings of each xDSL provider, therefore we decided to investigate this area for typical commercially available lines in Czech Republic. Based on the measured values and experiments with real ADSL2+ lines we also developed a potential modeling method, which is presented in this article as well. The parameters for packet jitter based on the generalized Pareto distribution were modeled.

  13. Forensic Tools for Mobile Phone Subscriber Identity Modules

    Directory of Open Access Journals (Sweden)

    Wayne Jansen

    2006-06-01

    Full Text Available Mobile phones and other handheld devices incorporating cellular capabilities, such as Personal Digital Assistants, are ubiquitous.  Besides placing calls, these devices allow users to perform other useful tasks, including text messaging and phonebook entry management.  When cell phones and cellular devices are involved in a crime or other incident, forensic specialists require tools that allow the proper retrieval and speedy examination of data present on the device.  For devices conforming to the Global System for Mobile Communications (GSM standards, certain data such as dialed numbers, text messages, and phonebook entries are maintained on a Subscriber Identity Module (SIM.  This paper gives a snapshot of the state of the art of forensic software tools for SIMs and an explanation of the types of digital evidence they can recover.

  14. 47 CFR 10.280 - Subscribers' right to opt out of CMAS notifications.

    Science.gov (United States)

    2010-10-01

    ... 47 Telecommunication 1 2010-10-01 2010-10-01 false Subscribers' right to opt out of CMAS notifications. 10.280 Section 10.280 Telecommunication FEDERAL COMMUNICATIONS COMMISSION GENERAL COMMERCIAL MOBILE ALERT SYSTEM Election to Participate in Commercial Mobile Alert System § 10.280 Subscribers' right...

  15. Secret Forwarding of Events over Distributed Publish/Subscribe Overlay Network.

    Directory of Open Access Journals (Sweden)

    Young Yoon

    Full Text Available Publish/subscribe is a communication paradigm where loosely-coupled clients communicate in an asynchronous fashion. Publish/subscribe supports the flexible development of large-scale, event-driven and ubiquitous systems. Publish/subscribe is prevalent in a number of application domains such as social networking, distributed business processes and real-time mission-critical systems. Many publish/subscribe applications are sensitive to message loss and violation of privacy. To overcome such issues, we propose a novel method of using secret sharing and replication techniques. This is to reliably and confidentially deliver decryption keys along with encrypted publications even under the presence of several Byzantine brokers across publish/subscribe overlay networks. We also propose a framework for dynamically and strategically allocating broker replicas based on flexibly definable criteria for reliability and performance. Moreover, a thorough evaluation is done through a case study on social networks using the real trace of interactions among Facebook users.

  16. EXtending Mobility to Publish/Subscribe Systems Using a Pro-Active Caching Approach

    Directory of Open Access Journals (Sweden)

    Abdulbaset Gaddah

    2010-01-01

    Full Text Available The publish/subscribe communication paradigm has many characteristics that lend themselves well to mobile wireless networks. Our research investigates the extension of current publish/subscribe systems to support subscriber mobility in such networks. We present a novel mobility management scheme based on a pro-active caching approach to overcome the challenges and the performance concerns of disconnected operations in publish/subscribe systems. We discuss the mechanism of our proposed scheme and present a comprehensive experimental evaluation of our approach and alternative state-of-the-art solutions based on reactive approaches and durable subscriptions. The obtained results illustrate significant performance benefits of our proposed scheme across a range of scenarios. We conclude our work by discussing a modeling approach that can be used to extrapolate the performance of our approach in a near-size environment (in terms of broker network and/or subscriber population to our experimental testbed.

  17. Selection of Digital Subscriber Lines Ready for Next Generation Access

    Directory of Open Access Journals (Sweden)

    Petr Jares

    2015-01-01

    Full Text Available Nowadays, in the EU a lot of project concerning broadband access to the Internet for end users is being developed. The aim of those projects is to support the creation of access communication networks that can meet defined performance criteria for providing the broadband services. Such networks are in general called Next Generation Access. One of the first tasks is to identify appropriate transmission technologies that could meet the required performance criteria. For each transmission technology, it is necessary to carry out a detailed performance analysis of the transmission depending on certain transmission conditions. To perform a detailed analysis means to carry out modelling of transmission’s specific conditions for each technology. This article, specifically, discusses hybrid optical networks, which in conjunction with digital subscriber lines are one of the possible solutions for Next Generation Access. In the access network topology that combines copper and optical cables, it is necessary to optimize the mutual ratio of both infrastructure’s length. Therefore, the article also describes this issue that refers to a certain technology for the Next Generation Access. Specific performance criteria of transmission for access network in the Czech Republic are considered and the optimized location of the external node digital line access multiplexer is discussed.

  18. Acquired Techniques

    DEFF Research Database (Denmark)

    Lunde Nielsen, Espen; Halse, Karianne

    2013-01-01

    Acquired Techniques - a Leap into the Archive, at Aarhus School of Architecture. In collaboration with Karianne Halse, James Martin and Mika K. Friis. Following the footsteps of past travelers this is a journey into tools and techniques of the architectural process. The workshop will focus upon...

  19. An active 3-dimensional localization scheme for femtocell subscribers using E-UTRAN

    KAUST Repository

    Mohammed, Aquil Mirza

    2012-05-01

    Femtocells provide an efficient solution to overcome the indoor coverage problems and also to deal with the traffic within Macro cells. The possibility of localizing femtocell subscriber stations based on the timing ranging advance parameter (TRAP), obtained from E-UTRAN (Evolved UMTS Terrestrial Radio Access Network), within the network signal internals is challenging and is studied throughout in this paper. The principle approach to localization based on Euclidean distances from multiple base stations is outlined.We investigate the specifications of the timing parameters or TRAP used for air interface of 4G network as they relate to calculating the subscriber distances. Computer simulation is used to demonstrate the localization accuracy using multiple base station networks when estimating likely locations of femtocell subscribers stations on a twodimensional coordinate mapping system. However, we further extend our simulations to demonstrate expected location accuracy of subscriber stations, for multiple base station networks, on a three dimensional coordinate mapping scheme. The possibility of of error-fixes shows eight times greater accuracy than in previous results is expected to achieve by applying timing advance techniques to Global System for Mobile communications networks, by using a two-dimensional coordinate mapping scheme. We later compare our study with the effect of global positioning system (GPS) by using a three-dimensional coordinate mapping scheme, which is predicted to give an 72.4 cms accuracy of subscriber station location. © 2012 IEEE.

  20. Authenticated Location-Aware Publish/Subscribe Services in Untrusted Outsourced Environments

    Directory of Open Access Journals (Sweden)

    Han Yan

    2017-01-01

    Full Text Available Location-aware publish/subscribe is an important location-based service based on server-initiated model. Often times, the owner of massive spatio-textual messages and subscriptions outsources its location-aware publish/subscribe services to a third-party service provider, for example, cloud service provider, who is responsible for delivering messages to their relevant subscribers. The issue arising here is that the messages delivered by the service provider might be tailored for profit purposes, intentionally or not. Therefore, it is essential to develop mechanisms which allow subscribers to verify the correctness of the messages delivered by the service provider. In this paper, we study the problem of authenticating messages in outsourced location-aware publish/subscribe services. We propose an authenticated framework which not only can deliver the messages efficiently but also can make the subscribers’ authentication available with low cost. Extensive experiments on a real-world dataset demonstrate the effectiveness and efficiency of our proposed authenticated framework.

  1. Sinkronisasi Content E-learning Terdistribusi Berbasis Model Komunikasi Indirect Menggunakan Sistem Publish-Subscribe

    Directory of Open Access Journals (Sweden)

    Sufrendo Saputra

    2017-01-01

    Full Text Available Sinkronisasi content antar e-learning memungkinkan beberapa e-learning memiliki content yang sama secara konsisten. Perubahan content pada salah satu e-learning akan membuat sistem memastikan e-learning lain mengetahui perubahan tersebut. Model komunikasi yang memungkinkan adanya sinkronisasi ini merupakan komunikasi indirect berbasis publish-subscribe. Setiap e-learning memiliki content-nya masing-masing yang secara otomatis akan di-publish oleh sistem. E-learning lain yang tergabung dalam sistem sinkronisasi kemudian dapat memilih content mana yang ingin di-subscribe. Jika terdapat perubahan pada sebuah content, dan content tersebut memiliki subscriber, maka sistem akan memberitahu subscriber bahwa telah terjadi perubahan pada content. Teknologi utama yang digunakan dalam sistem ini adalah Moodle, PHP, dan Java. Moodle sebagai modul yang digunakan untuk mensimulasikan e-learning. PHP dan Java sebagai framework dari sistem sinkronisasi. Model komunikasi yang digunakan merupakan komunikasi indirect berbasis publish-subscribe. Model komunikasi ini menempatkan sebuah perantara bagi komunikasi antar e-learning.

  2. List of subscribers as the source of data on book history and the history of reading: case study of book subscribers' lists printed in Dalmatia in the early 19th century

    Directory of Open Access Journals (Sweden)

    Jelena Lakuš

    2013-02-01

    Full Text Available Customer networks or lists of subscribers as a new publishing phenomenon first occurred in Dalmatia in the early 19th century. It was a model of collective funding of book, magazine and newspaper publishing, which gradually replaced the earlier system of individual patronage. It resulted in the publication of lists of subscribers that contained the names of all those who financially supported the printing of a book. The data on names of subscribers, their occupation, place of residence and number of copies ordered, which was the usual content of subscribers, lists, make them very valuable sources for research on the history of books and reading. This paper tries to show the research potential of such lists by presenting a case-study of five preserved and available subscribers' lists found in publications printed between 1835 and 1848 in the Zadar print shop of Battara brothers. The paper analyses the quantitative data on subscribers, their geographical distribution, professional profile and gender, which does not exhaust their research potential in full. The analysis has shown that despite the austere educational opportunities, high incidence of unemployment, and many other limitations, there were people who treasured the written word. The subscribers mostly came from coastal cities like Zadar, Split and Dubrovnik, which were the most important publishing and cultural centres. Even though the subscribers came from Austria, Military Border, Italy, Croatia proper and Slavonia, as well as Bosnia and Herzegovina, which was then part of the Ottoman Empire, they make up only one eight of the total number of subscribers in the corpus. The subscribers are both Roman-Catholic and Orthodox, who mostly subscribed to books printed in the Cyrillic script. The subscribers come from a wide range of professions, mostly from the church circles in Dalmatia, and the fewest of them were professors and teachers, members of the army and the police. As expected

  3. A Uniform Publish-Subscribe Infrastructure for Communication in Wireless Mobile Environments

    DEFF Research Database (Denmark)

    Brønsted, Jeppe; Hansen, Klaus Marius; Thorup, Rolf

    2006-01-01

    provides a good communication abstraction for wireless networks of mobile nodes. In this paper we present PSI, a uniform publish-subscribe based infrastructure, for communication in wireless mobile environments. In PSI the application is divided into software components that each handles a well defined...... systems and therefore it is important to have communication middleware that hides the complexity of low level network programming and presents a clean and understandable abstraction over communication to the application programmer. It has previously been shown that the publish-subscribe messaging paradigm...

  4. Distributing Knight. Using Type-Based Publish/Subscribe for Building Distributed Collaboration Tools

    DEFF Research Database (Denmark)

    Damm, Christian Heide; Hansen, Klaus Marius

    2002-01-01

    more important. We present Distributed Knight, an extension to the Knight tool, for distributed, collaborative, and gesture-based object-oriented modelling. Distributed Knight was built using the type-based publish/subscribe paradigm. Based on this case, we argue that type-based publish...

  5. Crisis states of Helpline subscribers: issues of diagnosis and psychological care

    Directory of Open Access Journals (Sweden)

    G.S. Bannikov

    2014-08-01

    Full Text Available In recent years, the number of calls to the Helpline from people who are in crisis state, often with suicidal tendencies, has increased significantly. It is therefore particularly important that a helpline counselor had instant recognition skills of crisis state and the ability to quickly build a strategy for crisis counseling. The study described in the article was focused on crisis state structure of helpline subscribers using developed “Crisis state maps”. The subject of the study was the critical state of the individual subscribers seeking psychological help. We tested the assumption that the strategies and methods of psychological assistance are directly related to the features of crisis. We studied crisis state in 70 subscribers. Of these, 59 were females (12 to 66 years old and 11 males (11 to 40 years old. The average age of women was 34,5 years, of men – 23,4 years. The overall average age was 28,65 years. The study result was the portrait of typical helpline subscriber personality. We show the possible strategies of counseling

  6. Quantitative Analysis of Commercial Online Resources Subscribed to by Twenty-Three Academic Libraries

    Science.gov (United States)

    Orr, Sandy; Head, Jennifer; Nance, Jim

    2010-01-01

    Collection development for commercial online resources can be difficult without established standards, such as those librarians have for books. Using the Carnegie Classification System can be a good tool for generating a list of comparable universities to discover what they subscribe to. Librarians at the Paul Meek Library at the University of…

  7. 7 CFR 1735.13 - Location of facilities and service for nonrural subscribers.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 11 2010-01-01 2010-01-01 false Location of facilities and service for nonrural subscribers. 1735.13 Section 1735.13 Agriculture Regulations of the Department of Agriculture (Continued) RURAL UTILITIES SERVICE, DEPARTMENT OF AGRICULTURE GENERAL POLICIES, TYPES OF LOANS, LOAN REQUIREMENTS-TELECOMMUNICATIONS PROGRAM Loan Purposes and...

  8. Geolocation of WiMAX Subscriber Stations Based on the Timing Adjust Ranging Parameter

    Science.gov (United States)

    2009-12-01

    actual location. Such a GUI was developed in HTML with JavaScript, utilizing the Google Maps API to provide access to global satellite and terrain maps...idealized honeycomb cell layout, they are generally spaced to provide maximum coverage with the least number of towers dependent on subscriber

  9. Improving Packet Delivery Performance of Publish/Subscribe Protocols in Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Ernesto García Davis

    2013-01-01

    Full Text Available MQTT-S and CoAP are two protocols able to use the publish/subscribe model in Wireless Sensor Networks (WSNs. The high scalability provided by the publish/subscribe model may incur a high packet loss and therefore requires an efficient reliability mechanism to cope with this situation. The reliability mechanism of MQTT-S and CoAP employs a method which defines a fixed value for the retransmission timeout (RTO. This article argues that this method is not efficient for deploying publish/subscribe in WSN, because it may be unable to recover a packet, therefore resulting in a lower packet delivery ratio (PDR at the subscriber nodes. This article proposes and evaluates an adaptive RTO method, which consists in using a Smooth Round-trip Time and multiplying it by a constant parameter (K. Thanks to this method, the reliability mechanism of MQTT-S and CoAP would be able to react properly to packet loss and would also be lightweight in terms of energy, memory and computing for sensor nodes where these resources are critical. We present a detailed evaluation of the effects of the K value on the calculation of the adaptive RTO method. We also establish the setting for obtaining the highest PDR on the subscriber nodes for single-hop and multi-hop scenarios. The results for single-hop scenario show that use of the appropriate K value for the adaptive RTO method increases the PDR up to 76% for MQTT-S and up to 38% for CoAP when compared with the use of fixed RTO method for both protocols, respectively. Meanwhile the same comparison for multi-hop scenario, the adaptive RTO method increases the PDR up to 36% for MQTT-S and up to 14% for CoAP.

  10. Improving packet delivery performance of publish/subscribe protocols in wireless sensor networks.

    Science.gov (United States)

    Davis, Ernesto García; Calveras, Anna; Demirkol, Ilker

    2013-01-04

    MQTT-S and CoAP are two protocols able to use the publish/subscribe model in Wireless Sensor Networks (WSNs). The high scalability provided by the publish/subscribe model may incur a high packet loss and therefore requires an efficient reliability mechanism to cope with this situation. The reliability mechanism of MQTT-S and CoAP employs a method which defines a fixed value for the retransmission timeout (RTO). This article argues that this method is not efficient for deploying publish/subscribe in WSN, because it may be unable to recover a packet, therefore resulting in a lower packet delivery ratio (PDR) at the subscriber nodes. This article proposes and evaluates an adaptive RTO method, which consists in using a Smooth Round-trip Time and multiplying it by a constant parameter (K). Thanks to this method, the reliability mechanism of MQTT-S and CoAP would be able to react properly to packet loss and would also be lightweight in terms of energy, memory and computing for sensor nodes where these resources are critical. We present a detailed evaluation of the effects of the K value on the calculation of the adaptive RTO method. We also establish the setting for obtaining the highest PDR on the subscriber nodes for single-hop and multi-hop scenarios. The results for single-hop scenario show that use of the appropriate K value for the adaptive RTO method increases the PDR up to 76% for MQTT-S and up to 38% for CoAP when compared with the use of fixed RTO method for both protocols, respectively. Meanwhile the same comparison for multi-hop scenario, the adaptive RTO method increases the PDR up to 36% for MQTT-S and up to 14% for CoAP.

  11. Realizing IoT service's policy privacy over publish/subscribe-based middleware.

    Science.gov (United States)

    Duan, Li; Zhang, Yang; Chen, Shiping; Wang, Shiyao; Cheng, Bo; Chen, Junliang

    2016-01-01

    The publish/subscribe paradigm makes IoT service collaborations more scalable and flexible, due to the space, time and control decoupling of event producers and consumers. Thus, the paradigm can be used to establish large-scale IoT service communication infrastructures such as Supervisory Control and Data Acquisition systems. However, preserving IoT service's policy privacy is difficult in this paradigm, because a classical publisher has little control of its own event after being published; and a subscriber has to accept all the events from the subscribed event type with no choice. Few existing publish/subscribe middleware have built-in mechanisms to address the above issues. In this paper, we present a novel access control framework, which is capable of preserving IoT service's policy privacy. In particular, we adopt the publish/subscribe paradigm as the IoT service communication infrastructure to facilitate the protection of IoT services policy privacy. The key idea in our policy-privacy solution is using a two-layer cooperating method to match bi-directional privacy control requirements: (a) data layer for protecting IoT events; and (b) application layer for preserving the privacy of service policy. Furthermore, the anonymous-set-based principle is adopted to realize the functionalities of the framework, including policy embedding and policy encoding as well as policy matching. Our security analysis shows that the policy privacy framework is Chosen-Plaintext Attack secure. We extend the open source Apache ActiveMQ broker by building into a policy-based authorization mechanism to enforce the privacy policy. The performance evaluation results indicate that our approach is scalable with reasonable overheads.

  12. Einsatz einer Echtzeit-Publish/Subscribe-Kommunikation für die Teleoperation mobiler Roboter

    Science.gov (United States)

    Lindhorst, Timo; Herms, André; Schulze, Michael

    In der Telerobotik werden mobile Roboter über ein Kommunikationsnetz durch einen Operator ferngesteuert. Um interaktiv zu operieren, mussen Daten in beide Richtungen in Echtzeit kommuniziert werden. Zusätzlich ist eine hohe Ausfallsicherheit des Systems zu gewährleisten. Diese Arbeit beschreibt die Umsetzung ernes solchen Szenarios unter Verwendung einer Echtzeit-Publish/Subscribe-Kommunikation. Ein drahtloses Mesh-Netzwerk erfüllt durch redundante Verbindungen die Anforderungen an die Kommunikation. Eine Publish/Subscribe-Middleware ermöglicht eine inhaltsbasierte Kommunikation und erlaubt dadurch eine hohe Flexibilität der Teilnehmer. Durch die modulare Software-Architektur der Applikationen entsteht ein verteiltes System, in dem mobile Roboter durch netzwerktransparente Kommunikation gesteuert werden.

  13. Building flexible, distributed collaboration tools using type-based publish/subscribe - The Distributed Knight case

    DEFF Research Database (Denmark)

    Hansen, Klaus Marius; Damm, Christian Heide

    2004-01-01

    Distributed collaboration is becoming increasingly impor tant also in software development. Combined with an in creasing interest in experimental and agile approaches to software development, this poses challenges to tool sup port for software development. Specifically, tool support is needed...... for flexible, distributed collaboration. We intro duce the Distributed Knight tool that provides flexible and lightweight support for distributed collaboration in object oriented modelling. The Distributed Knight implementa tion builds crucially on the type-based publish/subscribe distributed communication...

  14. Structured P2P Overlay of Mobile Brokers for Realizing Publish/Subscribe Communication in VANET

    Directory of Open Access Journals (Sweden)

    Tulika Pandey

    2014-01-01

    Full Text Available Publish/subscribe communication paradigm provides asynchrony and decoupling, making it an elegant alternative for designing applications in distributed and dynamic environment such as vehicular ad hoc networks (VANETs. In this paradigm, the broker is the most important component that decouples other two components, namely, publisher and subscriber. Previous research efforts have either utilized the deployment of distributed brokers on stationary road side info-stations or have assigned the role of broker to any moving vehicle on ad hoc basis. In one approach, lots of preinstalled infrastructures are needed whereas, in another, the quality of service is not guaranteed due to unpredictable moving and stopping patterns of vehicles. In this paper, we present the architecture of distributed mobile brokers which are dynamically reconfigurable in the form of structured P2P overlay and act as rendezvous points for matching publications and subscriptions. We have taken city buses in urban settings to act as mobile brokers whereas other vehicles are considered to be in role of publishers and subscribers. These mobile brokers also assist in locating a vehicle for successful and timely transfer of notifications. We have performed an extensive simulation study to compare our approach with previously proposed approaches. Simulation results establish the applicability of our approach.

  15. Structured P2P Overlay of Mobile Brokers for Realizing Publish/Subscribe Communication in VANET

    Science.gov (United States)

    Pandey, Tulika; Garg, Deepak; Gore, Manoj Madhava

    2014-01-01

    Publish/subscribe communication paradigm provides asynchrony and decoupling, making it an elegant alternative for designing applications in distributed and dynamic environment such as vehicular ad hoc networks (VANETs). In this paradigm, the broker is the most important component that decouples other two components, namely, publisher and subscriber. Previous research efforts have either utilized the deployment of distributed brokers on stationary road side info-stations or have assigned the role of broker to any moving vehicle on ad hoc basis. In one approach, lots of preinstalled infrastructures are needed whereas, in another, the quality of service is not guaranteed due to unpredictable moving and stopping patterns of vehicles. In this paper, we present the architecture of distributed mobile brokers which are dynamically reconfigurable in the form of structured P2P overlay and act as rendezvous points for matching publications and subscriptions. We have taken city buses in urban settings to act as mobile brokers whereas other vehicles are considered to be in role of publishers and subscribers. These mobile brokers also assist in locating a vehicle for successful and timely transfer of notifications. We have performed an extensive simulation study to compare our approach with previously proposed approaches. Simulation results establish the applicability of our approach. PMID:24523629

  16. Segmental neurofibromatosis

    OpenAIRE

    Galhotra, Virat; Sheikh, Soheyl; Jindal, Sanjeev; Singla, Anshu

    2014-01-01

    Segmental neurofibromatosis is a rare disorder, characterized by neurofibromas or cafι-au-lait macules limited to one region of the body. Its occurrence on the face is extremely rare and only few cases of segmental neurofibromatosis over the face have been described so far. We present a case of segmental neurofibromatosis involving the buccal mucosa, tongue, cheek, ear, and neck on the right side of the face.

  17. Understanding the Self-Directed Online Learning Preferences, Goals, Achievements, and Challenges of MIT OpenCourseWare Subscribers

    National Research Council Canada - National Science Library

    Curtis J Bonk; Mimi Miyoung Lee; Xiaojing Kou; Shuya Xu; Feng-Ru Sheu

    2015-01-01

      This research targeted the learning preferences, goals and motivations, achievements, challenges, and possibilities for life change of self-directed online learners who subscribed to the monthly OpenCourseWare (OCW...

  18. OPTIMASI PUBLISH-SUBSCRIBE ADAPTIF UNTUK MONITORING KEAMANAN SELASAR GEDUNG G4 TEKNIK ELEKTRO UNIVERSITAS NEGERI MALANG

    Directory of Open Access Journals (Sweden)

    I Made Wirawan

    2017-10-01

    Full Text Available Security and comfort become very important for every educational institution, especially college. Security and comfort should be properly integrated to create an ideal academic atmosphere. This research designs online security monitoring system of G4 TEUM's hallway area by utilizing social media using adaptive Publish Subscribe system. Publisher i.e. students upload the current condition of the G4 TEUM's hallway by utilizing social media: twitter, facebook or instagram, then brokers choose the uploaded data corresponding to G4 content to be sent in the form of notification to subscriber, which is TEUM security in the form of dynamic web application. The experimental results show that by using adaptive Publish-Subscribe method, the cpu usage is reduced by 31,76% and bandwith usage by 39,4%, compared with non-adaptive method, on data event obtained by both publisher and subscribe. Rasa aman dan nyaman merupakan salah satu hal  yang sangat berpengaruh pada dunia pendidikan dalam pembelajaran, khususnya di perguruan tinggi. Keamanan dan kenyamanan harus diintegrasikan dengan baik untuk menciptakan atmosfer akademik yang ideal. Penelitian ini merancang sistem pemantauan keamanan online di area selasar G4 TEUM dengan memanfaatkan media sosial yang menggunakan sistem Publish-Subscribe Adaptif. Publisher yaitu mahasiswa mengunggah kondisi terkini dari selasar G4 TEUM dengan memanfaatkan media sosial, seperti twitter, facebook, dan instagram, kemudian broker memilih data upload sesuai dengan konten G4 yang akan dikirimkan berupa notifikasi ke Subscriber, yaitu pihak keamanan TEUM dalam bentuk aplikasi web dinamis. Hasil percobaan menunjukkan bahwa dengan menggunakan metode Publish-Subscribe adaptif, penggunaan CPU berkurang sebesar 31,76% dan penggunaan bandwidth sebesar 39,4%, dibandingkan dengan metode non adaptif, pada data event yang diperoleh baik pada Publisher maupun Subscriber.

  19. Segmental Neurofibromatosis

    Directory of Open Access Journals (Sweden)

    Yesudian Devakar

    1997-01-01

    Full Text Available Segmental neurofibromatosis is a rare variant of neurofibromatosis in which the lesions are confined to one segment or dermatome of the body. They resemble classical neurofibromas in their morphology, histopathology and electron microscopy. However, systemic associations are usually absent. We report one such case with these classical features.

  20. Segmental Vitiligo.

    Science.gov (United States)

    van Geel, Nanja; Speeckaert, Reinhart

    2017-04-01

    Segmental vitiligo is characterized by its early onset, rapid stabilization, and unilateral distribution. Recent evidence suggests that segmental and nonsegmental vitiligo could represent variants of the same disease spectrum. Observational studies with respect to its distribution pattern point to a possible role of cutaneous mosaicism, whereas the original stated dermatomal distribution seems to be a misnomer. Although the exact pathogenic mechanism behind the melanocyte destruction is still unknown, increasing evidence has been published on the autoimmune/inflammatory theory of segmental vitiligo. Copyright © 2016 Elsevier Inc. All rights reserved.

  1. A Traffic Prediction Model for Self-Adapting Routing Overlay Network in Publish/Subscribe System

    Directory of Open Access Journals (Sweden)

    Meng Chi

    2017-01-01

    Full Text Available In large-scale location-based service, an ideal situation is that self-adapting routing strategies use future traffic data as input to generate a topology which could adapt to the changing traffic well. In the paper, we propose a traffic prediction model for the broker in publish/subscribe system, which can predict the traffic of the link in future by neural network. We first introduced our traffic prediction model and then described the model integration. Finally, the experimental results show that our traffic prediction model could predict the traffic of link well.

  2. Solidarity or financial sustainability: an analysis of the values of community-based health insurance subscribers and promoters in Senegal.

    Science.gov (United States)

    Ouimet, Marie-Jo; Fournier, Pierre; Diop, Idrissa; Haddad, Slim

    2007-01-01

    Although community-based health insurance (CBHI) seemed promising to improve access to health care, its implementation has been slow and laborious. We hypothesize that the existing tension between the competing objectives of solidarity and financial sustainability that are pursued by CBHI may partly account for this. This paper aims to evaluate if there is a gap between CBHI subscribers' values and their promoters', and to determine which characteristics of subscribers and CBHIs are associated with their values. A study of all Senegal CBHI organizations was undertaken in 2002. The analysis includes: 1) content of interviews with subscribers and promoters; and 2) multilevel logistical analysis of the links between characteristics of subscribers (n = 394) and organizations (n = 46) and composite indicators representing values (redistribution, solidarity when difficulties, solidarity between healthy and unhealthy). Promoters emphasize financial sustainability; subscribers are split between financial sustainability and solidarity. Men, polygamous families and individuals with a lower socio-professional status are twice as likely to be in favour of redistribution; subscribers who participate in decision-making and those who think their CBHI is facing difficulties are less in favour of solidarity. At CBHI level, although the variance was significant, none of the variables were retained. More attention should be given to reducing the gap between promoters' and subscribers' values, and to increasing member participation in the processes involved in implementing CBHI. This could help all actors involved to understand and improve determinants of enrolment in, and performance of CBHI, thus increasing access to health care for vulnerable populations in developing countries.

  3. Revealing latent value of clinically acquired CTs of traumatic brain injury through multi-atlas segmentation in a retrospective study of 1,003 with external cross-validation

    Science.gov (United States)

    Plassard, Andrew J.; Kelly, Patrick D.; Asman, Andrew J.; Kang, Hakmook; Patel, Mayur B.; Landman, Bennett A.

    2015-03-01

    Medical imaging plays a key role in guiding treatment of traumatic brain injury (TBI) and for diagnosing intracranial hemorrhage; most commonly rapid computed tomography (CT) imaging is performed. Outcomes for patients with TBI are variable and difficult to predict upon hospital admission. Quantitative outcome scales (e.g., the Marshall classification) have been proposed to grade TBI severity on CT, but such measures have had relatively low value in staging patients by prognosis. Herein, we examine a cohort of 1,003 subjects admitted for TBI and imaged clinically to identify potential prognostic metrics using a "big data" paradigm. For all patients, a brain scan was segmented with multi-atlas labeling, and intensity/volume/texture features were computed in a localized manner. In a 10-fold crossvalidation approach, the explanatory value of the image-derived features is assessed for length of hospital stay (days), discharge disposition (five point scale from death to return home), and the Rancho Los Amigos functional outcome score (Rancho Score). Image-derived features increased the predictive R2 to 0.38 (from 0.18) for length of stay, to 0.51 (from 0.4) for discharge disposition, and to 0.31 (from 0.16) for Rancho Score (over models consisting only of non-imaging admission metrics, but including positive/negative radiological CT findings). This study demonstrates that high volume retrospective analysis of clinical imaging data can reveal imaging signatures with prognostic value. These targets are suited for follow-up validation and represent targets for future feature selection efforts. Moreover, the increase in prognostic value would improve staging for intervention assessment and provide more reliable guidance for patients.

  4. An Analytic Hierarchy Process Analysis: Application to Subscriber Retention Decisions in the Nigerian Mobile Telecommunications

    Directory of Open Access Journals (Sweden)

    Adebiyi Sulaimon Olanrewaju

    2015-12-01

    Full Text Available The introduction of mobile number portability (MNP in the Nigerian telecommunications industry has brought a new challenge for mobile operators. This study investigates the use of Analytic Hierarchy Process (AHP in customer retention decisions in the Nigerian telecommunication industry using a cross-sectional survey design. Primary data were obtained through questionnaires administered to 480 mobile telecommunications subscribers in six tertiary institutions located in Lagos State, Nigeria. These educational institutions were chosen using a multistage sampling technique. Of 438 questionnaires received from subscribers, 408 were valid. Based on this sample data an AHP model was built to assess the determinants of customer retention decisions. Next, eigen values, an eigen vector and maximum lambda (λMax were obtained using the AHP analysis for the matrices. This analysis shows that customers considered call quality as the important in the retention decision. We conclude that AHP is a meaningful tool for determining what motivates retention decisions, that can help network operators formulate effective customer retention strategies.

  5. Appropriate Roles for the Subscriber, Publisher, Editor, Author, and Reviewer in the Archives of Plastic Surgery

    Directory of Open Access Journals (Sweden)

    Kun Hwang

    2013-11-01

    Full Text Available Authors, editors and reviewers, publishers, and subscribers all play their role in scientific journals. These 5 stakeholders are essential to journals. In this paper, firstly, I briefly summarize the role of each journal stakeholder and their respective goals. Secondly, the status of each participant in the Archives of Plastic Surgery is described. Finally, I propose an appropriate role and plan for each of them. Specific roles and responsibilities include the following: subscribers should welcome and submit the critiques of published papers in letters to the editor. Publishers should trust editors and provide them with adequate financial support for ongoing quality improvement of the journal. The editor-in-chief should be given a sufficient period of time-several years-to build up journal quality and train the incoming editor. The editors, including section editors, are also responsible for increasing the author pool. One editor might be designated a 'devil's referee', that is, a kind of devil's advocate with the responsibility of examining the originality of the manuscript, taking a skeptical view of the manuscript, and looking for holes in the methods and results of reported experiments. Authors' responsibilities include submitting manuscripts with scientific integrity and being ready to take responsibility for their articles even long after publication. Finally, reviewers' responsibilities include identifying similar articles not cited. Reviewers are also welcome to write a discussion on the article they review.

  6. Determinants of Customer Loyalty among Mobile Telecom Subscribers in the Brong Ahafo Region of Ghana

    Directory of Open Access Journals (Sweden)

    Kwabena Adjei

    2014-01-01

    Full Text Available The purpose of this study is to investigate the determinants of brand equity among mobile telecom users in Brong Ahafo Region of Ghana. Mobile telecommunication providers have a great role in strengthening the economy and encouraging the efficiency among a large number of subscribers across the country. The success of any business depends on the strength of their brands, which attracts new and existing customers for continuous growth.  In Ghana, there are six mobile telecom providers operating in the market (Vodafone, Airtel, MTN, Tigo, Glo, & Expresso. Primary data was obtained through a questionnaire and residents of Sunyani Municipality were targeted for the study. 200 questionnaires were self-administered by the researchers to the subscribers of all the mobile telecom providers and 194 questionnaires were returned. The questionnaires were analysed using SPSS 16 and pearson correlation was used to establish the relationship between the dependent and independent variables. The results identified call rate/quality, network coverage and sales promotion as having significant positive relationship to customer loyalty. In addition, brand image and prompt customer service were seen to have a less effect on customer loyalty.

  7. Appropriate roles for the subscriber, publisher, editor, author, and reviewer in the archives of plastic surgery.

    Science.gov (United States)

    Hwang, Kun

    2013-11-01

    Authors, editors and reviewers, publishers, and subscribers all play their role in scientific journals. These 5 stakeholders are essential to journals. In this paper, firstly, I briefly summarize the role of each journal stakeholder and their respective goals. Secondly, the status of each participant in the Archives of Plastic Surgery is described. Finally, I propose an appropriate role and plan for each of them. Specific roles and responsibilities include the following: subscribers should welcome and submit the critiques of published papers in letters to the editor. Publishers should trust editors and provide them with adequate financial support for ongoing quality improvement of the journal. The editor-in-chief should be given a sufficient period of time-several years-to build up journal quality and train the incoming editor. The editors, including section editors, are also responsible for increasing the author pool. One editor might be designated a 'devil's referee', that is, a kind of devil's advocate with the responsibility of examining the originality of the manuscript, taking a skeptical view of the manuscript, and looking for holes in the methods and results of reported experiments. Authors' responsibilities include submitting manuscripts with scientific integrity and being ready to take responsibility for their articles even long after publication. Finally, reviewers' responsibilities include identifying similar articles not cited. Reviewers are also welcome to write a discussion on the article they review.

  8. Enabling Large-Scale IoT-Based Services through Elastic Publish/Subscribe.

    Science.gov (United States)

    Vavassori, Sergio; Soriano, Javier; Fernández, Rafael

    2017-09-19

    In this paper, we report an algorithm that is designed to leverage the cloud as infrastructure to support Internet of Things (IoT) by elastically scaling in/out so that IoT-based service users never stop receiving sensors' data. This algorithm is able to provide an uninterrupted service to end users even during the scaling operation since its internal state repartitioning is transparent for publishers or subscribers; its scaling operation is time-bounded and depends only on the dimension of the state partitions to be transmitted to the different nodes. We describe its implementation in E-SilboPS, an elastic content-based publish/subscribe (CBPS) system specifically designed to support context-aware sensing and communication in IoT-based services. E-SilboPS is a key internal asset of the FIWARE IoT services enablement platform, which offers an architecture of components specifically designed to capture data from, or act upon, IoT devices as easily as reading/changing the value of attributes linked to context entities. In addition, we discuss the quantitative measurements used to evaluate the scale-out process, as well as the results of this evaluation. This new feature rounds out the context-aware content-based features of E-SilboPS by providing, for example, the necessary middleware for constructing dashboards and monitoring panels that are capable of dynamically changing queries and continuously handling data in IoT-based services.

  9. Roles of publishers, subscription agents, and institutional subscribers in the academic journal business : Opinions after reading the “Series: Perspectives on serials crisis and scholarly communication practice”

    Science.gov (United States)

    Taguchi, Nobuyuki

    Roles of publishers, subscription agents, and institutional subscribers in the academic journal business : Opinions after reading the “Series: Perspectives on serials crisis and scholarly communication practice”

  10. Segmentation: Identification of consumer segments

    DEFF Research Database (Denmark)

    Høg, Esben

    2005-01-01

    It is very common to categorise people, especially in the advertising business. Also traditional marketing theory has taken in consumer segments as a favorite topic. Segmentation is closely related to the broader concept of classification. From a historical point of view, classification has its...... a basic understanding of grouping people. Advertising agencies may use segmentation totarget advertisements, while food companies may usesegmentation to develop products to various groups of consumers. MAPP has for example investigated the positioning of fish in relation to other food products....... The traditionalists are characterised by favouring pork, poultry and beef. Since it is difficult to change consumers' tastes, the short-term consequence may be to focus on the "fish lovers" and target the communication towards these consumers. In the long run, "traditionalists" may be persuaded to revise...

  11. Secure publish-subscribe protocols for heterogeneous medical wireless body area networks.

    Science.gov (United States)

    Picazo-Sanchez, Pablo; Tapiador, Juan E; Peris-Lopez, Pedro; Suarez-Tangil, Guillermo

    2014-11-28

    Security and privacy issues in medical wireless body area networks (WBANs) constitute a major unsolved concern because of the challenges posed by the scarcity of resources in WBAN devices and the usability restrictions imposed by the healthcare domain. In this paper, we describe a WBAN architecture based on the well-known publish-subscribe paradigm. We present two protocols for publishing data and sending commands to a sensor that guarantee confidentiality and fine-grained access control. Both protocols are based on a recently proposed ciphertext policy attribute-based encryption (CP-ABE) scheme that is lightweight enough to be embedded into wearable sensors. We show how sensors can implement lattice-based access control (LBAC) policies using this scheme, which are highly appropriate for the eHealth domain. We report experimental results with a prototype implementation demonstrating the suitability of our proposed solution.

  12. Implications of New Technological Adaptions on Switching Barriers: An Empirical Study of Mobile Telecommunication Subscribers in Sri Lanka

    Directory of Open Access Journals (Sweden)

    EACP Karunarathne

    2017-02-01

    Full Text Available With the technological advancements in the past few years in the mobile telecommunication industry, customer requirements and their behavioral patterns changed a lot. Implications of two of most popular such technological approaches which are independent from the service provider were discussed in this paper. Usually, firms have identified the value of maintaining a higher level of switching barriers since it is one kind of successful strategic aspects in mobile telecommunication. But, the importance of these strategies was challenged with the adoptions of new technologies. Therefore, to study its’ implication, data set was obtained by conducting a survey from randomly select mobile subscribers in Sri Lanka. Descriptive statistics, correlation analysis, t-test and factorial ANOVA test were used for the data analysis purpose. According to the analysis, it is revealed that these two technological advancements are weakened the level of switching barriers significantly. It may allow subscribers to switch service providers easily. On the other hand, subscribers with higher relationship age are having the highest switching barrier level even though they are users of those new technologies. But a significant difference among users and non-users has been identified through the study. Thus, policy makers are required to come up with new strategies to retain those subscribers within the network.

  13. Eye Complications of Acquired Immune Deficiency Syndrome (AIDS ...

    African Journals Online (AJOL)

    Skoludek_R

    Eye Complications of Acquired Immune Deficiency Syndrome (AIDS). Part 1. Ocular surface and anterior segment manifestations. Wani MGa, Eye Department, Mutare Provincial Hospital, P O Box 2481, Mutare, Zimbabwe. Introduction. Acquired Immune Deficiency Syndrome (AIDS) is the leading cause of sickness and ...

  14. Mixed segmentation

    DEFF Research Database (Denmark)

    Bonde, Anders; Aagaard, Morten; Hansen, Allan Grutt

    content analysis and audience segmentation in a single-source perspective. The aim is to explain and understand target groups in relation to, on the one hand, emotional response to commercials or other forms of audio-visual communication and, on the other hand, living preferences and personality traits....... Innovatively, the research process is documented via an interactive data-visualization tool by which readers and fellow peers can access and, by using various filtering options, further analyze the results and, ultimately, reformulate the problem field....

  15. [Segmental neurofibromatosis].

    Science.gov (United States)

    Wagner, G; Meyer, V; Sachse, M M

    2017-11-08

    Thirteen years ago, a 48-year-old man developed numerous neurofibromas in a circumscribed area on the right chest. At the same time, a bilateral seminoma was diagnosed and treated curatively. There was no evidence for other complications of neurofibromatosis. The family history was inconspicuous. The segmental neurofibromatosis (SN) presented in this patient is the result of a mosaic formation resulting from a mutation of the NF1 gene, a tumor suppressor gene. Concomitant, typical diseases of neurofibromatosis generalisata (NFG), including malignant neoplasms, are the exception to SN.

  16. Segmental neurofibromatosis.

    Science.gov (United States)

    Sobjanek, Michał; Dobosz-Kawałko, Magdalena; Michajłowski, Igor; Pęksa, Rafał; Nowicki, Roman

    2014-12-01

    Segmental neurofibromatosis or type V neurofibromatosis is a rare genodermatosis characterized by neurofibromas, café-au-lait spots and neurofibromas limited to a circumscribed body region. The disease may be associated with systemic involvement and malignancies. The disorder has not been reported yet in the Polish medical literature. A 63-year-old Caucasian woman presented with a 20-year history of multiple, flesh colored, dome-shaped, soft to firm nodules situated in the right lumbar region. A histopathologic evaluation of three excised tumors revealed neurofibromas. No neurological and ophthalmologic symptoms of neurofibromatosis were diagnosed.

  17. Theatre Involvement and Well-Being, Age Differences, and Lessons From Long-Time Subscribers.

    Science.gov (United States)

    Meeks, Suzanne; Shryock, Sarah Kelly; Vandenbroucke, Russell J

    2017-04-08

    Activities that provide positive emotions, meaningful social interaction, and psychological stimulation can bolster well-being throughout life. We tested a model of psychological benefit from, and age differences in, adult ticket buyers' involvement with a large regional theatre. We sent online surveys to Actors Theatre of Louisville ticketbuyers, measuring involvement with the theatre, satisfaction/enjoyment, social engagement, flow, and sense of belonging while attending, and well-being. Structural models (N = 496) tested a model of well-being and age differences; focus groups of older subscribers (N = 20) elaborated quantitative findings. As hypothesized, theatre involvement was indirectly related to satisfaction and enjoyment of the theatre, hedonic well-being, and social functioning, through the psychosocial benefits of flow, social engagement, and belonging. Age moderated the model relationships: involvement was more strongly related to benefits for younger than older participants, but there were no age differences in the relationship between benefits and well-being. Focus group participants articulated how theatre contributes to a sense of community and pride of place, connecting individual well-being to community well-being. Involvement in performing arts organizations may have lifelong benefits. The relationship between involvement and psychosocial benefit may be particularly strong for younger audience members despite the fact that older adults have more involvement. Older adults with long-term involvement appear to benefit even when they reduce their involvement. Our qualitative findings underscore the great richness of experience that younger generations might lose as a result of lower participation.

  18. Cosine-Modulated Multitone for Very-High-Speed Digital Subscriber Lines

    Directory of Open Access Journals (Sweden)

    Lin Lekun

    2006-01-01

    Full Text Available In this paper, the use of cosine-modulated filter banks (CMFBs for multicarrier modulation in the application of very-high-speed digital subscriber lines (VDSLs is studied. We refer to this modulation technique as cosine-modulated multitone (CMT. CMT has the same transmitter structure as discrete wavelet multitone (DWMT. However, the receiver structure in CMT is different from its DWMT counterpart. DWMT uses linear combiner equalizers, which typically have more than 20 taps per subcarrier. CMT, on the other hand, adopts a receiver structure that uses only two taps per subcarrier for equalization. This paper has the following contributions. (i A modification that reduces the computational complexity of the receiver structure of CMT is proposed. (ii Although traditionally CMFBs are designed to satisfy perfect-reconstruction (PR property, in transmultiplexing applications, the presence of channel destroys the PR property of the filter bank, and thus other criteria of filter design should be adopted. We propose one such method. (iii Through extensive computer simulations, we compare CMT with zipper discrete multitone (z-DMT and filtered multitone (FMT, the two modulation techniques that have been included in the VDSL draft standard. Comparisons are made in terms of computational complexity, transmission latency, achievable bit rate, and resistance to radio ingress noise.

  19. Pull vs. Push: How OmniEarth Delivers Better Earth Observation Information to Subscribers

    Science.gov (United States)

    Fish, C.; Slagowski, S.; Dyrud, L.; Fentzke, J.; Hargis, B.; Steerman, M.

    2015-04-01

    Until very recently, the commercialization of Earth observation systems has largely occurred in two ways: either through the detuning of government satellites or the repurposing of NASA (or other science) data for commercial use. However, the convergence of cloud computing and low-cost satellites is enabling Earth observation companies to tailor observation data to specific markets. Now, underserved constituencies, such as agriculture and energy, can tap into Earth observation data that is provided at a cadence, resolution and cost that can have a real impact to their bottom line. To connect with these markets, OmniEarth fuses data from a variety of sources, synthesizes it into useful and valuable business information, and delivers it to customers via web or mobile interfaces. The "secret sauce" is no longer about having the highest resolution imagery, but rather it is about using that imagery - in conjunction with a number of other sources - to solve complex problems that require timely and contextual information about our dynamic and changing planet. OmniEarth improves subscribers' ability to visualize the world around them by enhancing their ability to see, analyze, and react to change in real time through a solutions-as-a-service platform.

  20. An Electric Vehicle Charging Management Scheme Based on Publish/Subscribe Communication Framework

    Science.gov (United States)

    Cao, Yue; Wang, Ning; Kamel, George; Kim, Young-Jin

    2017-09-01

    Motivated by alleviating CO$_2$ pollution, Electric Vehicle (EV) based applications have recently received wide interests from both commercial and research communities by using electric energy instead of traditional fuel energy. Although EVs are inherently with limited travelling distance, such limitation could be overcome by deploying public Charging Stations (CSs) to recharge EVs battery during their journeys. In this paper we propose a novel communication framework for on-the-move EV charging scenario, based on the Publish/Subscribe (P/S) mechanism for disseminating necessary CS information to EVs, in order for them to make optimized decisions on where to charge. A core part of our communication framework is the utilization of Road Side Units (RSUs) to bridge the information flow from CSs to EVs, which has been regarded as a type of cost-efficient communication infrastructure. Under this design, we introduce two complementary communication modes of signalling protocols, namely Push and Pull Modes, in order to enable the required information dissemination operation. Both analysis and simulation show the advantage of Pull Mode, in which the information is cached at RSUs to support asynchronous communication. We further propose a remote reservation service based on the Pull Mode, such that the CS-selection decision making can utilize the knowledge of EVs' charging reservation, as published from EVs through RSUs to CSs. Results show that both the performance at CS and EV sides are further improved based on using this anticipated information.

  1. Self-Adapting Routing Overlay Network for Frequently Changing Application Traffic in Content-Based Publish/Subscribe System

    Directory of Open Access Journals (Sweden)

    Meng Chi

    2014-01-01

    Full Text Available In the large-scale distributed simulation area, the topology of the overlay network cannot always rapidly adapt to frequently changing application traffic to reduce the overall traffic cost. In this paper, we propose a self-adapting routing strategy for frequently changing application traffic in content-based publish/subscribe system. The strategy firstly trains the traffic information and then uses this training information to predict the application traffic in the future. Finally, the strategy reconfigures the topology of the overlay network based on this predicting information to reduce the overall traffic cost. A predicting path is also introduced in this paper to reduce the reconfiguration numbers in the process of the reconfigurations. Compared to other strategies, the experimental results show that the strategy proposed in this paper could reduce the overall traffic cost of the publish/subscribe system in less reconfigurations.

  2. Image Segmentation Algorithms Overview

    OpenAIRE

    Yuheng, Song; Hao, Yan

    2017-01-01

    The technology of image segmentation is widely used in medical image processing, face recognition pedestrian detection, etc. The current image segmentation techniques include region-based segmentation, edge detection segmentation, segmentation based on clustering, segmentation based on weakly-supervised learning in CNN, etc. This paper analyzes and summarizes these algorithms of image segmentation, and compares the advantages and disadvantages of different algorithms. Finally, we make a predi...

  3. Acquired immune demyelinating neuropathies.

    Science.gov (United States)

    Dimachkie, Mazen M; Saperstein, David S

    2014-10-01

    Acquired immune demyelinating neuropathies refer to a group of disorders that share overlapping sensory, motor, and autonomic clinical, laboratory, and electrodiagnostic features. It is important to recognize acquired immune demyelinating neuropathies as they are generally responsive to immunosuppressive or immunomodulatory therapies. This article reviews recently developed early prognostic tools in Guillain-Barré syndrome and discusses the evolving understanding of chronic demyelinating phenotypes with differing treatment responsiveness. While weakness and numbness progress over 2 to 4 weeks in Guillain-Barré syndrome, they continue to evolve beyond 8 weeks in chronic inflammatory demyelinating polyradiculoneuropathy and over 4 to 8 weeks in subacute inflammatory demyelinating polyradiculoneuropathy. Acquired immune demyelinating neuropathies present uncommonly as variants with predominance of ocular, bulbar, sensory, autonomic, or motor manifestations in addition to regional variants, such as paraparetic acquired immune demyelinating neuropathies. Establishing the correct diagnosis is important as these immune disorders differ in response to corticosteroids and other immunosuppressive therapies.

  4. Pneumonia - children - community acquired

    Science.gov (United States)

    Bronchopneumonia - children; Community-acquired pneumonia - children; CAP - children ... Viruses are the most common cause of pneumonia in infants and children. Ways your child can get CAP include: Bacteria and viruses living in the nose, sinuses, or mouth may spread ...

  5. Acquired color vision deficiency.

    Science.gov (United States)

    Simunovic, Matthew P

    2016-01-01

    Acquired color vision deficiency occurs as the result of ocular, neurologic, or systemic disease. A wide array of conditions may affect color vision, ranging from diseases of the ocular media through to pathology of the visual cortex. Traditionally, acquired color vision deficiency is considered a separate entity from congenital color vision deficiency, although emerging clinical and molecular genetic data would suggest a degree of overlap. We review the pathophysiology of acquired color vision deficiency, the data on its prevalence, theories for the preponderance of acquired S-mechanism (or tritan) deficiency, and discuss tests of color vision. We also briefly review the types of color vision deficiencies encountered in ocular disease, with an emphasis placed on larger or more detailed clinical investigations. Copyright © 2016 Elsevier Inc. All rights reserved.

  6. Systemic Acquired Resistance

    OpenAIRE

    Conrath, Uwe

    2006-01-01

    Upon infection with necrotizing pathogens many plants develop an enhanced resistance to further pathogen attack also in the uninoculated organs. This type of enhanced resistance is referred to as systemic acquired resistance (SAR). In the SAR state, plants are primed (sensitized) to more quickly and more effectively activate defense responses the second time they encounter pathogen attack. Since SAR depends on the ability to access past experience, acquired disease resistance is a paradigm fo...

  7. Laboratory-acquired brucellosis

    DEFF Research Database (Denmark)

    Fabiansen, C.; Knudsen, J.D.; Lebech, A.M.

    2008-01-01

    Brucellosis is a rare disease in Denmark. We describe one case of laboratory-acquired brucellosis from an index patient to a laboratory technician following exposure to an infected blood culture in a clinical microbiology laboratory Udgivelsesdato: 2008/6/9......Brucellosis is a rare disease in Denmark. We describe one case of laboratory-acquired brucellosis from an index patient to a laboratory technician following exposure to an infected blood culture in a clinical microbiology laboratory Udgivelsesdato: 2008/6/9...

  8. Acquired hemophilia A.

    Science.gov (United States)

    Webert, Kathryn E

    2012-10-01

    Acquired hemophilia A is a rare, autoimmune disorder that is caused by autoantibodies that act as inhibitors to factor VIII. It is characterized by severe, unexpected bleeding that may be life-threatening. The incidence of acquired hemophilia A is ~ 0.2 to 1.48 cases per 1 million individuals per year. Acquired hemophilia A has been associated with several clinical conditions including pregnancy, autoimmune or collagen vascular disorders, malignancies, drugs, respiratory disorders, and infections. However, in ~ 50% of cases, no disease association is determined. Acquired hemophilia A should be suspected when a patient with no previous personal or family history of bleeding, presents with bleeding and an unexplained prolonged activated partial thromboplastin time (APTT) and other common causes of a prolonged APTT are ruled out. The treatment of acquired hemophilia A has two main goals: (1) to treat and/or prevent bleeding complications and (2) to eradicate the inhibitor. The recommended agents to be used for the treatment or prevention of bleeding in patients with acquired hemophilia A are the bypassing agents. Patients should be treated initially with corticosteroids, either alone or in combination with cyclophosphamide, to eradicate the inhibitor. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

  9. Acquired vertical accommodative vergence.

    Science.gov (United States)

    Klein-Scharff, Ulrike; Kommerell, Guntram; Lagrèze, Wolf A

    2008-03-08

    Vertical accommodative vergence is an unusual synkinesis in which vertical vergence is modulated together with accommodation. It results from a supranuclear miswiring of the network normally conveying accommodative convergence. So far, it is unknown whether this condition is congenital or acquired. We identified an otherwise healthy girl who gradually developed vertical accommodative vergence between five to 13 years of age. Change of accommodation by 3 diopters induced a vertical vergence of 10 degrees. This observation proves that the miswiring responsible for vertical accommodative vergence must not necessarily be congenital, but can be acquired. The cause and the mechanism leading to vertical accommodative vergence are yet unknown.

  10. Strategic market segmentation

    National Research Council Canada - National Science Library

    Maricic, Branko; Djordjevic, Aleksandar

    2015-01-01

    ..., requires segmented approach to the market that appreciates differences in expectations and preferences of customers. One of significant activities in strategic planning of marketing activities is market segmentation...

  11. Acquired methemoglobinemia in infants

    Directory of Open Access Journals (Sweden)

    Mehmet Mutlu

    2011-06-01

    Full Text Available Objective: This study aimed to determine the etiologic factors of acquired methemoglobinemia in infants younger than three months in our region. Material and Methods: This study was carried out retrospectively in infants with methemoglobinemia admitted to Karadeniz Technical University, Pediatric Clinic, during the period 2000-2009. Infants with methemoglobinemia were identified according to the medical records or ICD-10 code. Results: Nine infants with acquired methemoglobinemia (8 male, 1 female were included in the study. Seven cases were associated with the use of prilocaine for circumcision, one case with the use of prilocaine-lidocaine for local pain therapy, and one case with neonatal sepsis caused by Staphylococcus aureus.Conclusion: Prilocaine should not be used in infants less than three months of age because of the risk of methemoglobinemia. Ascorbic acid is an effective therapy if methylene blue is not obtained. It should not be forgotten that sepsis caused by S. aureus may cause methemoglobinemia in infants.

  12. Acquired cystic kidney disease

    Energy Technology Data Exchange (ETDEWEB)

    Choyke, P.L. [National Institutes of Health, Bethesda, MD (United States). Dept. of Diagnostic Radiology

    2000-11-01

    Acquired cystic kidney disease (ACKD), also known as acquired renal cystic disease (ARCD,) occurs in patients who are on dialysis for end-stage renal disease. It is generally accepted that ACKD develops as a consequence of sustained uremia and can first manifest even before dialysis is initiated while the patient is still in chronic renal failure. The role of immune suppression, particularly in transplant recipients, in the development of ACKD, is still under investigation. The prevalence of ACKD is directly related to the duration of dialysis and the risk of cancer is directly related to the presence of cysts. Herein we review the current understanding of the pathophysiology and imaging implications of ACKD. (orig.)

  13. Community-acquired pneumonia.

    Science.gov (United States)

    Falguera, M; Ramírez, M F

    2015-11-01

    This article not only reviews the essential aspects of community-acquired pneumonia for daily clinical practice, but also highlights the controversial issues and provides the newest available information. Community-acquired pneumonia is considered in a broad sense, without excluding certain variants that, in recent years, a number of authors have managed to delineate, such as healthcare-associated pneumonia. The latter form is nothing more than the same disease that affects more frail patients, with a greater number of risk factors, both sharing an overall common approach. Copyright © 2015 Elsevier España, S.L.U. y Sociedad Española de Medicina Interna (SEMI). All rights reserved.

  14. Acquired hypofibrinogenemia: current perspectives

    Directory of Open Access Journals (Sweden)

    Besser MW

    2016-09-01

    Full Text Available Martin W Besser,1 Stephen G MacDonald2 1Department of Haematology, 2Department of Specialist Haemostasis, The Pathology Partnership, Addenbrooke’s Hospital, Cambridge, UK Abstract: Acquired hypofibrinogenemia is most frequently caused by hemodilution and consumption of clotting factors. The aggressive replacement of fibrinogen has become one of the core principles of modern management of massive hemorrhage. The best method for determining the patient’s fibrinogen level remains controversial, and particularly in acquired dysfibrinogenemia, could have major therapeutic implications depending on which quantification method is chosen. This review introduces the available laboratory and point-of-care methods and discusses the relative advantages and limitations. It also discusses current strategies for the correction of hypofibrinogenemia. Keywords: Clauss fibrinogen assay, fibrinogen antigen, viscoelastic testing, ­gravimetric fibrinogen assay, PT-derived fibrinogen, functional fibrinogen, direct oral anticoagulant, dysfibrinogenemia, afibrinogenemia

  15. Acquired hypertrichosis lanuginosa

    Directory of Open Access Journals (Sweden)

    Kumar Pramod

    1993-01-01

    Full Text Available Acquired hypertirichosis lanuginose developed rapidly in a patient with no detectable malignancy. Soft, fine, downy hair growth was noticed on the face, ears, limbs and trunk. Bilaterally symmetrical vitiliginous macules were present on the ear and preauricular region. This case is reported because of its rarity, absence of any detectable malignancy and development of vitiligo, which to our knowledge has not been reported earlier.

  16. Method to acquire regions of fruit, branch and leaf from image of red apple in orchard

    Science.gov (United States)

    Lv, Jidong; Xu, Liming

    2017-07-01

    This work proposed a method to acquire regions of fruit, branch and leaf from red apple image in orchard. To acquire fruit image, R-G image was extracted from the RGB image for corrosive working, hole filling, subregion removal, expansive working and opening operation in order. Finally, fruit image was acquired by threshold segmentation. To acquire leaf image, fruit image was subtracted from RGB image before extracting 2G-R-B image. Then, leaf image was acquired by subregion removal and threshold segmentation. To acquire branch image, dynamic threshold segmentation was conducted in the R-G image. Then, the segmented image was added to fruit image to acquire adding fruit image which was subtracted from RGB image with leaf image. Finally, branch image was acquired by opening operation, subregion removal and threshold segmentation after extracting the R-G image from the subtracting image. Compared with previous methods, more complete image of fruit, leaf and branch can be acquired from red apple image with this method.

  17. Spinal cord grey matter segmentation challenge.

    Science.gov (United States)

    Prados, Ferran; Ashburner, John; Blaiotta, Claudia; Brosch, Tom; Carballido-Gamio, Julio; Cardoso, Manuel Jorge; Conrad, Benjamin N; Datta, Esha; Dávid, Gergely; Leener, Benjamin De; Dupont, Sara M; Freund, Patrick; Wheeler-Kingshott, Claudia A M Gandini; Grussu, Francesco; Henry, Roland; Landman, Bennett A; Ljungberg, Emil; Lyttle, Bailey; Ourselin, Sebastien; Papinutto, Nico; Saporito, Salvatore; Schlaeger, Regina; Smith, Seth A; Summers, Paul; Tam, Roger; Yiannakas, Marios C; Zhu, Alyssa; Cohen-Adad, Julien

    2017-05-15

    An important image processing step in spinal cord magnetic resonance imaging is the ability to reliably and accurately segment grey and white matter for tissue specific analysis. There are several semi- or fully-automated segmentation methods for cervical cord cross-sectional area measurement with an excellent performance close or equal to the manual segmentation. However, grey matter segmentation is still challenging due to small cross-sectional size and shape, and active research is being conducted by several groups around the world in this field. Therefore a grey matter spinal cord segmentation challenge was organised to test different capabilities of various methods using the same multi-centre and multi-vendor dataset acquired with distinct 3D gradient-echo sequences. This challenge aimed to characterize the state-of-the-art in the field as well as identifying new opportunities for future improvements. Six different spinal cord grey matter segmentation methods developed independently by various research groups across the world and their performance were compared to manual segmentation outcomes, the present gold-standard. All algorithms provided good overall results for detecting the grey matter butterfly, albeit with variable performance in certain quality-of-segmentation metrics. The data have been made publicly available and the challenge web site remains open to new submissions. No modifications were introduced to any of the presented methods as a result of this challenge for the purposes of this publication. Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

  18. "Ready to Acquire"

    DEFF Research Database (Denmark)

    Yetton, Philip; Henningsson, Stefan; Bjørn-Andersen, Niels

    2013-01-01

    This article describes the experiences of Danisco (a global food ingredients company) as it followed a growth-by-acquisition business strategy, focusing on how a new CIO built the IT resources to ensure the IT organization was "ready to acquire." We illustrate how these IT capabilities expedited...... the IT integration following two acquisitions, one of which involved Danisco expanding the scale of its business and the other extending the scope. Based on insights gained from Danisco, we provide lessons for CIOs to realize business benefits when managing post-acquisition IT integration....

  19. Acquired cerebral dyschromatopsia.

    Science.gov (United States)

    Green, G J; Lessell, S

    1977-01-01

    Color blindness developed in five patients apparently because of lesions in the posterior portions of both cerebral hemispheres. Three of them also had symptoms of prosopagnosia. The lesions were neoplastic in two and vascular in three of the patients. It would appear that bilateral, inferior, occipital lobe lesions may be responsible both for acquired cerebral dyschromatopsia and prosopagnosia. Evidence from experimental investigations in primates suggests that the areas of the cerebral hemispheres analogous to those involved in these patients, may be specialized for the processing of colored stimuli.

  20. Acquired epidermolysis bullosa

    Directory of Open Access Journals (Sweden)

    Maricel Sucar Batista

    2015-12-01

    Full Text Available Epidermolysis bullosa is a group of diseases or skin disorders genetically transmitted and it is characterized by the appearance of bullae, ulcers and skin wounds. It usually appears at birth or in the first months of life. This is a case of a 72-year-old female patient who comes to the dermatology department with skin lesions of 6 months of evolution. A skin biopsy was performed, taking a sample for direct and indirect immunofluorescence. Acquired epidermolysis bullosa of unknown etiology was diagnosed. Treatment was started with low-dose colchicine to increase it later, according to the patient’s tolerance and disease progression.

  1. Building Roof Segmentation from Aerial Images Using a Lineand Region-Based Watershed Segmentation Technique

    Directory of Open Access Journals (Sweden)

    Youssef El Merabet

    2015-02-01

    Full Text Available In this paper, we present a novel strategy for roof segmentation from aerial images (orthophotoplans based on the cooperation of edge- and region-based segmentation methods. The proposed strategy is composed of three major steps. The first one, called the pre-processing step, consists of simplifying the acquired image with an appropriate couple of invariant and gradient, optimized for the application, in order to limit illumination changes (shadows, brightness, etc. affecting the images. The second step is composed of two main parallel treatments: on the one hand, the simplified image is segmented by watershed regions. Even if the first segmentation of this step provides good results in general, the image is often over-segmented. To alleviate this problem, an efficient region merging strategy adapted to the orthophotoplan particularities, with a 2D modeling of roof ridges technique, is applied. On the other hand, the simplified image is segmented by watershed lines. The third step consists of integrating both watershed segmentation strategies into a single cooperative segmentation scheme in order to achieve satisfactory segmentation results. Tests have been performed on orthophotoplans containing 100 roofs with varying complexity, and the results are evaluated with the VINETcriterion using ground-truth image segmentation. A comparison with five popular segmentation techniques of the literature demonstrates the effectiveness and the reliability of the proposed approach. Indeed, we obtain a good segmentation rate of 96% with the proposed method compared to 87.5% with statistical region merging (SRM, 84% with mean shift, 82% with color structure code (CSC, 80% with efficient graph-based segmentation algorithm (EGBIS and 71% with JSEG.

  2. Building roof segmentation from aerial images using a lineand region-based watershed segmentation technique.

    Science.gov (United States)

    El Merabet, Youssef; Meurie, Cyril; Ruichek, Yassine; Sbihi, Abderrahmane; Touahni, Raja

    2015-02-02

    In this paper, we present a novel strategy for roof segmentation from aerial images (orthophotoplans) based on the cooperation of edge- and region-based segmentation methods. The proposed strategy is composed of three major steps. The first one, called the pre-processing step, consists of simplifying the acquired image with an appropriate couple of invariant and gradient, optimized for the application, in order to limit illumination changes (shadows, brightness, etc.) affecting the images. The second step is composed of two main parallel treatments: on the one hand, the simplified image is segmented by watershed regions. Even if the first segmentation of this step provides good results in general, the image is often over-segmented. To alleviate this problem, an efficient region merging strategy adapted to the orthophotoplan particularities, with a 2D modeling of roof ridges technique, is applied. On the other hand, the simplified image is segmented by watershed lines. The third step consists of integrating both watershed segmentation strategies into a single cooperative segmentation scheme in order to achieve satisfactory segmentation results. Tests have been performed on orthophotoplans containing 100 roofs with varying complexity, and the results are evaluated with the VINETcriterion using ground-truth image segmentation. A comparison with five popular segmentation techniques of the literature demonstrates the effectiveness and the reliability of the proposed approach. Indeed, we obtain a good segmentation rate of 96% with the proposed method compared to 87.5% with statistical region merging (SRM), 84% with mean shift, 82% with color structure code (CSC), 80% with efficient graph-based segmentation algorithm (EGBIS) and 71% with JSEG.

  3. [Acquired coagulant factor inhibitors].

    Science.gov (United States)

    Nogami, Keiji

    2015-02-01

    Acquired coagulation factor inhibitors are an autoimmune disease causing bleeding symptoms due to decreases in the corresponding factor (s) which result from the appearance of autoantibodies against coagulation factors (inhibitor). This disease is quite different from congenital coagulation factor deficiencies based on genetic abnormalities. In recent years, cases with this disease have been increasing, and most have anti-factor VIII autoantibodies. The breakdown of the immune control mechanism is speculated to cause this disease since it is common in the elderly, but the pathology and pathogenesis are presently unclear. We herein describe the pathology and pathogenesis of factor VIII and factor V inhibitors. Characterization of these inhibitors leads to further analysis of the coagulation process and the activation mechanisms of clotting factors. In the future, with the development of new clotting examination method (s), we anticipate that further novel findings will be obtained in this field through inhibitor analysis. In addition, detailed elucidation of the coagulation inhibitory mechanism possibly leading to hemostatic treatment strategies for acquired coagulation factor disorders will be developed.

  4. Learning-By-Being-Acquired

    DEFF Research Database (Denmark)

    Colombo, Massimo G.; Moreira, Solon; Rabbiosi, Larissa

    In this paper we study post-acquisition integration in terms of R&D team reorganization—i.e., the creation of new teams with both inventors of the acquiring and acquired firms—and assess its impact on knowledge transfer in the period that follows the acquisition. Drawing on social identity and self......-categorization theories, we argue that R&D team reorganization increases the acquired inventors’ use of the prior stock of technological knowledge of the acquiring firm after the acquisition. Furthermore, this effect is enhanced if acquired inventors have higher innovation ability relative to their acquiring peers...

  5. Segmented trapped vortex cavity

    Science.gov (United States)

    Grammel, Jr., Leonard Paul (Inventor); Pennekamp, David Lance (Inventor); Winslow, Jr., Ralph Henry (Inventor)

    2010-01-01

    An annular trapped vortex cavity assembly segment comprising includes a cavity forward wall, a cavity aft wall, and a cavity radially outer wall there between defining a cavity segment therein. A cavity opening extends between the forward and aft walls at a radially inner end of the assembly segment. Radially spaced apart pluralities of air injection first and second holes extend through the forward and aft walls respectively. The segment may include first and second expansion joint features at distal first and second ends respectively of the segment. The segment may include a forward subcomponent including the cavity forward wall attached to an aft subcomponent including the cavity aft wall. The forward and aft subcomponents include forward and aft portions of the cavity radially outer wall respectively. A ring of the segments may be circumferentially disposed about an axis to form an annular segmented vortex cavity assembly.

  6. Bayesian automated cortical segmentation for neonatal MRI

    Science.gov (United States)

    Chou, Zane; Paquette, Natacha; Ganesh, Bhavana; Wang, Yalin; Ceschin, Rafael; Nelson, Marvin D.; Macyszyn, Luke; Gaonkar, Bilwaj; Panigrahy, Ashok; Lepore, Natasha

    2017-11-01

    Several attempts have been made in the past few years to develop and implement an automated segmentation of neonatal brain structural MRI. However, accurate automated MRI segmentation remains challenging in this population because of the low signal-to-noise ratio, large partial volume effects and inter-individual anatomical variability of the neonatal brain. In this paper, we propose a learning method for segmenting the whole brain cortical grey matter on neonatal T2-weighted images. We trained our algorithm using a neonatal dataset composed of 3 fullterm and 4 preterm infants scanned at term equivalent age. Our segmentation pipeline combines the FAST algorithm from the FSL library software and a Bayesian segmentation approach to create a threshold matrix that minimizes the error of mislabeling brain tissue types. Our method shows promising results with our pilot training set. In both preterm and full-term neonates, automated Bayesian segmentation generates a smoother and more consistent parcellation compared to FAST, while successfully removing the subcortical structure and cleaning the edges of the cortical grey matter. This method show promising refinement of the FAST segmentation by considerably reducing manual input and editing required from the user, and further improving reliability and processing time of neonatal MR images. Further improvement will include a larger dataset of training images acquired from different manufacturers.

  7. Multi-segmental neurofibromatosis

    OpenAIRE

    Kumar Sudhir; Kumar Ravi

    2004-01-01

    Neurofibromatosis (NF), one of the commonest phakomatoses, is characterized by varied clinical manifestations. Segmental NF is one of the uncommon subtypes of NF. We report a young adult presenting with asymptomatic skin lesions- neurofibromas and café-au-lait macules- over localized areas of the lower back, affecting more than one segment. None of the family members were found to have features of segmental NF. Segmental NF may be misdiagnosed as a birthmark or remain undiagnosed for l...

  8. [Acquired uterine arteriovenous malformations].

    Science.gov (United States)

    Vandenbroucke, L; Morcel, K; Bruneau, B; Moquet, P-Y; Bauville, E; Levêque, J; Lavoue, V

    2011-01-01

    Uterine arteriovenous malformations (AVM) may be responsible for vaginal bleeding potentially life-threatening. They are most often acquired following uterine trauma (curettage, cesarean section, artificial delivery/uterus examination) in association with pregnancy or gestational trophoblastic disease. We report three cases of patients having uterine AVM after curettage. The diagnostic management is important to avoid differential diagnoses (intra-uterine retention, hemangioma, gestational trophoblastic disease). It is based on serum hCG measurement and Doppler ultrasound, then confirmed on dynamic angio-MRI, which tends to replace angiography as first-line. The therapeutic management in cases of symptomatic AVMs is mostly embolization which offers the possibility for childbearing. Current data on subsequent pregnancies is reassuring even if they remain limited. Copyright © 2011 Elsevier Masson SAS. All rights reserved.

  9. Acquired Porphyria Cutanea Tarda

    Science.gov (United States)

    Koval, Andrew; Danby, C. W. E.; Petermann, H.

    1965-01-01

    Currently, the porphyrias are classified in four main groups: congenital porphyria, acute intermittent porphyria, porphyria cutanea tarda hereditaria, and porphyria cutanea tarda symptomatica. The acquired form of porphyria (porphyria cutanea tarda symptomatica) occurs in older males and is nearly always associated with chronic alcoholism and hepatic cirrhosis. The main clinical changes are dermatological, with excessive skin fragility and photosensitivity resulting in erosions and bullae. Biochemically, high levels of uroporphyrin are found in the urine and stools. Treatment to date has been symptomatic and usually unsuccessful. A case of porphyria cutanea tarda symptomatica is presented showing dramatic improvement of both the skin lesions and porphyrin levels in urine and blood following repeated phlebotomy. Possible mechanisms of action of phlebotomy on porphyria cutanea tarda symptomatica are discussed. ImagesFig. 1Fig. 2 PMID:14341652

  10. Automatic Melody Segmentation

    NARCIS (Netherlands)

    Rodríguez López, Marcelo

    2016-01-01

    The work presented in this dissertation investigates music segmentation. In the field of Musicology, segmentation refers to a score analysis technique, whereby notated pieces or passages of these pieces are divided into “units” referred to as sections, periods, phrases, and so on. Segmentation

  11. Learning-by-Being-Acquired

    DEFF Research Database (Denmark)

    Colombo, Massimo Gaetano; Moreira, Solon; Rabbiosi, Larissa

    2016-01-01

    ’ use of the prior stock of technological knowledge of the acquiring firm after the acquisition. Furthermore, this effect is enhanced if the focal acquired inventor has high relative innovation ability but is weakened for acquired inventors with high ingroup collaborative strength. We construct a sample...

  12. Words in Puddles of Sound: Modelling Psycholinguistic Effects in Speech Segmentation

    Science.gov (United States)

    Monaghan, Padraic; Christiansen, Morten H.

    2010-01-01

    There are numerous models of how speech segmentation may proceed in infants acquiring their first language. We present a framework for considering the relative merits and limitations of these various approaches. We then present a model of speech segmentation that aims to reveal important sources of information for speech segmentation, and to…

  13. STREET-SCENE TREE SEGMENTATION FROM MOBILE LASER SCANNING DATA

    Directory of Open Access Journals (Sweden)

    H. Guan

    2016-06-01

    Full Text Available Our work addresses the problem of extracting trees from mobile laser scanning data. The work is a two step-wise strategy, including terrain point removal and tree segmentation. First, a voxel-based upward growing filtering is proposed to remove terrain points from the mobile laser scanning data. Then, a tree segmentation is presented to extract individual trees via a Euclidean distance clustering approach and Voxel-based Normalized Cut (VNCut segmentation approach. A road section data acquired by a RIEGL VMX-450 system are selected for evaluating the proposed tree segmentation method. Qualitative analysis shows that our algorithm achieves a good performance.

  14. ICU-Acquired Weakness.

    Science.gov (United States)

    Jolley, Sarah E; Bunnell, Aaron E; Hough, Catherine L

    2016-11-01

    Survivorship after critical illness is an increasingly important health-care concern as ICU use continues to increase while ICU mortality is decreasing. Survivors of critical illness experience marked disability and impairments in physical and cognitive function that persist for years after their initial ICU stay. Newfound impairment is associated with increased health-care costs and use, reductions in health-related quality of life, and prolonged unemployment. Weakness, critical illness neuropathy and/or myopathy, and muscle atrophy are common in patients who are critically ill, with up to 80% of patients admitted to the ICU developing some form of neuromuscular dysfunction. ICU-acquired weakness (ICUAW) is associated with longer durations of mechanical ventilation and hospitalization, along with greater functional impairment for survivors. Although there is increasing recognition of ICUAW as a clinical entity, significant knowledge gaps exist concerning identifying patients at high risk for its development and understanding its role in long-term outcomes after critical illness. This review addresses the epidemiologic and pathophysiologic aspects of ICUAW; highlights the diagnostic challenges associated with its diagnosis in patients who are critically ill; and proposes, to our knowledge, a novel strategy for identifying ICUAW. Copyright © 2016 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.

  15. Pediatric acquired brain injury.

    Science.gov (United States)

    Bodack, Marie I

    2010-10-01

    Although pediatric patients are sometimes included in studies about visual problems in patients with acquired brain injury (ABI), few studies deal solely with children. Unlike studies dealing with adult patients, in which mechanisms of brain injury are divided into cerebral vascular accident (CVA) and traumatic brain injury (TBI), studies on pediatric patients deal almost exclusively with traumatic brain injury, specifically caused by accidents. Here we report on the vision problems of 4 pediatric patients, ages 3 to 18 years, who were examined in the ophthalmology/optometry clinic at a children's hospital. All patients had an internally caused brain injury and after the initial insult manifested problems in at least one of the following areas: acuity, binocularity, motility (tracking or saccades), accommodation, visual fields, and visual perceptual skills. Pediatric patients can suffer from a variety of oculo-visual problems after the onset of head injury. These patients may or may not be symptomatic and can benefit from optometric intervention. Copyright © 2010 American Optometric Association. Published by Elsevier Inc. All rights reserved.

  16. What if Finding Data was as Easy as Subscribing to the News?

    Science.gov (United States)

    Duerr, R. E.

    2011-12-01

    Data are the "common wealth of humanity," the fuel that drives the sciences; but much of the data that exist are inaccessible, buried in one of numerous stove-piped data systems, or entirely hidden unless you have direct knowledge of and contact with the investigator that acquired them. Much of the "wealth" is squandered and overall scientific progress inhibited, a situation that is becoming increasingly untenable with the openness required by data-driven science. What are needed are simple interoperability protocols and advertising mechanisms that allow data from disparate data systems to be easily discovered, explored, and accessed. The tools must be simple enough that individual investigators can use them without IT support. The tools cannot rely on centralized repositories or registries but must enable the development of ad-hoc or special purpose aggregations of data and services tailored to individual community needs. In addition, the protocols must scale to support the discovery of and access to the holdings of the global, interdisciplinary community, be they individual investigators or major data centers. NSIDC, in conjunction with other members of the Federation of Earth Science Information Partners and the Polar Information Commons, are working on just such a suite of tools and protocols. In this talk, I discuss data and service casting, aggregation, data badging, and OpenSearch - a suite of tools and protocols which, when used in conjunction with each other, have the potential of completely changing the way that data and services worldwide are discovered and used.

  17. Segmental neurofibromatosis and malignancy.

    Science.gov (United States)

    Dang, Julie D; Cohen, Philip R

    2010-01-01

    Segmental neurofibromatosis is an uncommon variant of neurofibromatosis type I characterized by neurofibromas and/or café-au-lait macules localized to one sector of the body. Although patients with neurofibromatosis type I have an associated increased risk of certain malignancies, malignancy has only occasionally been reported in patients with segmental neurofibromatosis. The published reports of patients with segmental neurofibromatosis who developed malignancy were reviewed and the characteristics of these patients and their cancers were summarized. Ten individuals (6 women and 4 men) with segmental neurofibromatosis and malignancy have been reported. The malignancies include malignant peripheral nerve sheath tumor (3), malignant melanoma (2), breast cancer (1), colon cancer (1), gastric cancer (1), lung cancer (1), and Hodgkin lymphoma (1). The most common malignancies in patients with segmental neurofibromatosis are derived from neural crest cells: malignant peripheral nerve sheath tumor and malignant melanoma. The incidence of malignancy in patients with segmental neurofibromatosis may approach that of patients with neurofibromatosis type I.

  18. Developmental and acquired dyslexias.

    Science.gov (United States)

    Temple, Christine M

    2006-08-01

    Marshall (1984) highlighted potential parallels between children with developmental disorders of reading and adults who had acquired reading disorders. He advocated the use of a cognitive neuropsychological framework in the investigation of children with developmental abnormalities of cognition, including those with developmental dyslexias. Developmental phonological dyslexia has been extensively described and is a pervasive disorder. The relationship between reading difficulty and phonological difficulties evident in explicit oral phonological tasks continues to be a focus for debate. Clear cases of developmental deep dyslexia have now been described and the syndrome has also been described as characterising early reading development in Williams syndrome (WS), where there are also semantic errors in other domains, including naming and receptive vocabulary and there may be a generalised difficulty with the activation of fine grain semantic specifications. In the domain of number, highly selective reading disorders characterised by high rates of semantic errors have been documented, indicating that semantic reading errors can be domain-specific. They can occur to number words despite intact ability to read Arabic numbers and they can occur to Arabic numbers and number words despite intact ability to read words in other domains. Current models of reading written words do not allow for such material-specific dissociation. Developmental surface dyslexia has also been described in a range of countries, languages and orthographies. Descriptions of cases for whom there is no phonological impairment in reading have generated contrary evidence for theories suggesting that phonological impairment underlies all developmental dyslexia. As reading develops in Williams Syndrome, phonological reading skills may improve with over-reliance on these leading to surface dyslexia. Surface dyslexia has also been reported in cases of developmental amnesia in which there are semantic

  19. Vessel-guided airway tree segmentation

    DEFF Research Database (Denmark)

    Lo, Pechin Chien Pau; Sporring, Jon; Ashraf, Haseem

    2010-01-01

    method is evaluated on 250 low dose computed tomography images from a lung cancer screening trial. Our experiments showed that applying the region growing algorithm on the airway appearance model produces more complete airway segmentations, leading to on average 20% longer trees, and 50% less leakage......This paper presents a method for airway tree segmentation that uses a combination of a trained airway appearance model, vessel and airway orientation information, and region growing. We propose a voxel classification approach for the appearance model, which uses a classifier that is trained...... to differentiate between airway and non-airway voxels. This is in contrast to previous works that use either intensity alone or hand crafted models of airway appearance. We show that the appearance model can be trained with a set of easily acquired, incomplete, airway tree segmentations. A vessel orientation...

  20. Learning-by-Being-Acquired

    DEFF Research Database (Denmark)

    Colombo, Massimo Gaetano; Moreira, Solon; Rabbiosi, Larissa

    2016-01-01

    In horizontal acquisitions, the post-acquisition integration of the R&D function often damages the inventive labor force and results in lower innovative productivity of acquired inventors. In this paper we study post-acquisition integration in terms of R&D team reorganization-i.e., the creation......’ use of the prior stock of technological knowledge of the acquiring firm after the acquisition. Furthermore, this effect is enhanced if the focal acquired inventor has high relative innovation ability but is weakened for acquired inventors with high ingroup collaborative strength. We construct a sample...

  1. A Perspective On Segment Reporting Choices And Segment Reconciliations

    OpenAIRE

    Dana Hollie; Shaokun£¨Carol) Yu

    2015-01-01

    In 2014, segment reporting gained third place in SEC comment letters. This article reviews the history of segment reporting including segment reporting choices and segment reconciliations, the current concerns as the level of detail in segment disclosures varies widely across organizations, the value relevance of segment reconciliations and its market consequences, and the importance of segment reporting to management. The following are highlights of the manuscript: The third-most-common area...

  2. PREPAID TELECOM CUSTOMERS SEGMENTATION USING THE K-MEAN ALGORITHM

    Directory of Open Access Journals (Sweden)

    Marar Liviu Ioan

    2012-07-01

    Full Text Available The scope of relationship marketing is to retain customers and win their loyalty. This can be achieved if the companies’ products and services are developed and sold considering customers’ demands. Fulfilling customers’ demands, taken as the starting point of relationship marketing, can be obtained by acknowledging that the customers’ needs and wishes are heterogeneous. The segmentation of the customers’ base allows operators to overcome this because it illustrates the whole heterogeneous market as the sum of smaller homogeneous markets. The concept of segmentation relies on the high probability of persons grouped into segments based on common demands and behaviours to have a similar response to marketing strategies. This article focuses on the segmentation of a telecom customer base according to specific and noticeable criteria of a certain service. Although the segmentation concept is widely approached in professional literature, articles on the segmentation of a telecom customer base are very scarce, due to the strategic nature of this information. Market segmentation is carried out based on how customers spent their money on credit recharging, on making calls, on sending SMS and on Internet navigation. The method used for customer segmentation is the K-mean cluster analysis. To assess the internal cohesion of the clusters we employed the average sum of squares error indicator, and to determine the differences among the clusters we used the ANOVA and the post-hoc Tukey tests. The analyses revealed seven customer segments with different features and behaviours. The results enable the telecom company to conceive marketing strategies and planning which lead to better understanding of its customers’ needs and ultimately to a more efficient relationship with the subscribers and enhanced customer satisfaction. At the same time, the results enable the description and characterization of expenditure patterns

  3. Speech segmentation in aphasia.

    Science.gov (United States)

    Peñaloza, Claudia; Benetello, Annalisa; Tuomiranta, Leena; Heikius, Ida-Maria; Järvinen, Sonja; Majos, Maria Carmen; Cardona, Pedro; Juncadella, Montserrat; Laine, Matti; Martin, Nadine; Rodríguez-Fornells, Antoni

    2015-01-01

    Speech segmentation is one of the initial and mandatory phases of language learning. Although some people with aphasia have shown a preserved ability to learn novel words, their speech segmentation abilities have not been explored. We examined the ability of individuals with chronic aphasia to segment words from running speech via statistical learning. We also explored the relationships between speech segmentation and aphasia severity, and short-term memory capacity. We further examined the role of lesion location in speech segmentation and short-term memory performance. The experimental task was first validated with a group of young adults (n = 120). Participants with chronic aphasia (n = 14) were exposed to an artificial language and were evaluated in their ability to segment words using a speech segmentation test. Their performance was contrasted against chance level and compared to that of a group of elderly matched controls (n = 14) using group and case-by-case analyses. As a group, participants with aphasia were significantly above chance level in their ability to segment words from the novel language and did not significantly differ from the group of elderly controls. Speech segmentation ability in the aphasic participants was not associated with aphasia severity although it significantly correlated with word pointing span, a measure of verbal short-term memory. Case-by-case analyses identified four individuals with aphasia who performed above chance level on the speech segmentation task, all with predominantly posterior lesions and mild fluent aphasia. Their short-term memory capacity was also better preserved than in the rest of the group. Our findings indicate that speech segmentation via statistical learning can remain functional in people with chronic aphasia and suggest that this initial language learning mechanism is associated with the functionality of the verbal short-term memory system and the integrity of the left inferior frontal region.

  4. Community-acquired bacterial meningitis

    NARCIS (Netherlands)

    van de Beek, Diederik; Brouwer, Matthijs; Hasbun, Rodrigo; Koedel, Uwe; Whitney, Cynthia G.; Wijdicks, Eelco

    2016-01-01

    Meningitis is an inflammation of the meninges and subarachnoid space that can also involve the brain cortex and parenchyma. It can be acquired spontaneously in the community - community-acquired bacterial meningitis - or in the hospital as a complication of invasive procedures or head trauma

  5. Segmented conjugated polymers

    Indian Academy of Sciences (India)

    Abstract. Segmented conjugated polymers, wherein the conjugation is randomly truncated by varying lengths of non-conjugated segments, form an interesting class of polymers as they not only represent systems of varying stiffness, but also ones where the backbone can be construed as being made up of chromophores of ...

  6. Segmentation, advertising and prices

    NARCIS (Netherlands)

    Galeotti, Andrea; Moraga-González, José Luis

    This paper explores the implications of market segmentation on firm competitiveness. In contrast to earlier work, here market segmentation is minimal in the sense that it is based on consumer attributes that are completely unrelated to tastes. We show that when the market is comprised by two

  7. Segmented conjugated polymers

    Indian Academy of Sciences (India)

    Segmented conjugated polymers, wherein the conjugation is randomly truncated by varying lengths of non-conjugated segments, form an interesting class of polymers as they not only represent systems of varying stiffness, but also ones where the backbone can be construed as being made up of chromophores of varying ...

  8. Multi-segmental neurofibromatosis

    Directory of Open Access Journals (Sweden)

    Kumar Sudhir

    2004-01-01

    Full Text Available Neurofibromatosis (NF, one of the commonest phakomatoses, is characterized by varied clinical manifestations. Segmental NF is one of the uncommon subtypes of NF. We report a young adult presenting with asymptomatic skin lesions- neurofibromas and café-au-lait macules- over localized areas of the lower back, affecting more than one segment. None of the family members were found to have features of segmental NF. Segmental NF may be misdiagnosed as a birthmark or remain undiagnosed for long periods of time, as the patients are often asymptomatic. Moreover, the clinical features are highly variable and range from a small area of skin involvement to involvement over the entire half of the body. This variation is explained by the fact that segmental NF is thought to arise from a postzygotic NF1 gene mutation, leading to somatic mosaicism. We have also reviewed the relevant literature on this subject.

  9. Multi-segmental neurofibromatosis

    Directory of Open Access Journals (Sweden)

    Kumar Sudhir

    2004-11-01

    Full Text Available Neurofibromatosis (NF, one of the commonest phakomatoses, is characterized by varied clinical manifestations. Segmental NF is one of the uncommon subtypes of NF. We report a young adult presenting with asymptomatic skin lesions- neurofibromas and café-au-lait macules- over localized areas of the lower back, affecting more than one segment. None of the family members were found to have features of segmental NF. Segmental NF may be misdiagnosed as a birthmark or remain undiagnosed for long periods of time, as the patients are often asymptomatic. Moreover, the clinical features are highly variable and range from a small area of skin involvement to involvement over the entire half of the body. This variation is explained by the fact that segmental NF is thought to arise from a postzygotic NF1 gene mutation, leading to somatic mosaicism. We have also reviewed the relevant literature on this subject.

  10. A communication model to integrate the Request-Response and the Publish-Subscribe paradigms into ubiquitous systems.

    Science.gov (United States)

    Rodríguez-Domínguez, Carlos; Benghazi, Kawtar; Noguera, Manuel; Garrido, José Luis; Rodríguez, María Luisa; Ruiz-López, Tomás

    2012-01-01

    The Request-Response (RR) paradigm is widely used in ubiquitous systems to exchange information in a secure, reliable and timely manner. Nonetheless, there is also an emerging need for adopting the Publish-Subscribe (PubSub) paradigm in this kind of systems, due to the advantages that this paradigm offers in supporting mobility by means of asynchronous, non-blocking and one-to-many message distribution semantics for event notification. This paper analyzes the strengths and weaknesses of both the RR and PubSub paradigms to support communications in ubiquitous systems and proposes an abstract communication model in order to enable their seamless integration. Thus, developers will be focused on communication semantics and the required quality properties, rather than be concerned about specific communication mechanisms. The aim is to provide developers with abstractions intended to decrease the complexity of integrating different communication paradigms commonly needed in ubiquitous systems. The proposal has been applied to implement a middleware and a real home automation system to show its applicability and benefits.

  11. A Communication Model to Integrate the Request-Response and the Publish-Subscribe Paradigms into Ubiquitous Systems

    Directory of Open Access Journals (Sweden)

    Tomás Ruiz-López

    2012-06-01

    Full Text Available The Request-Response (RR paradigm is widely used in ubiquitous systems to exchange information in a secure, reliable and timely manner. Nonetheless, there is also an emerging need for adopting the Publish-Subscribe (PubSub paradigm in this kind of systems, due to the advantages that this paradigm offers in supporting mobility by means of asynchronous, non-blocking and one-to-many message distribution semantics for event notification. This paper analyzes the strengths and weaknesses of both the RR and PubSub paradigms to support communications in ubiquitous systems and proposes an abstract communication model in order to enable their seamless integration. Thus, developers will be focused on communication semantics and the required quality properties, rather than be concerned about specific communication mechanisms. The aim is to provide developers with abstractions intended to decrease the complexity of integrating different communication paradigms commonly needed in ubiquitous systems. The proposal has been applied to implement a middleware and a real home automation system to show its applicability and benefits.

  12. Segmentation of the foveal microvasculature using deep learning networks

    Science.gov (United States)

    Prentašić, Pavle; Heisler, Morgan; Mammo, Zaid; Lee, Sieun; Merkur, Andrew; Navajas, Eduardo; Beg, Mirza Faisal; Šarunić, Marinko; Lončarić, Sven

    2016-07-01

    Accurate segmentation of the retinal microvasculature is a critical step in the quantitative analysis of the retinal circulation, which can be an important marker in evaluating the severity of retinal diseases. As manual segmentation remains the gold standard for segmentation of optical coherence tomography angiography (OCT-A) images, we present a method for automating the segmentation of OCT-A images using deep neural networks (DNNs). Eighty OCT-A images of the foveal region in 12 eyes from 6 healthy volunteers were acquired using a prototype OCT-A system and subsequently manually segmented. The automated segmentation of the blood vessels in the OCT-A images was then performed by classifying each pixel into vessel or nonvessel class using deep convolutional neural networks. When the automated results were compared against the manual segmentation results, a maximum mean accuracy of 0.83 was obtained. When the automated results were compared with inter and intrarater accuracies, the automated results were shown to be comparable to the human raters suggesting that segmentation using DNNs is comparable to a second manual rater. As manually segmenting the retinal microvasculature is a tedious task, having a reliable automated output such as automated segmentation by DNNs, is an important step in creating an automated output.

  13. Segmentation of thermographic images of hands using a genetic algorithm

    Science.gov (United States)

    Ghosh, Payel; Mitchell, Melanie; Gold, Judith

    2010-01-01

    This paper presents a new technique for segmenting thermographic images using a genetic algorithm (GA). The individuals of the GA also known as chromosomes consist of a sequence of parameters of a level set function. Each chromosome represents a unique segmenting contour. An initial population of segmenting contours is generated based on the learned variation of the level set parameters from training images. Each segmenting contour (an individual) is evaluated for its fitness based on the texture of the region it encloses. The fittest individuals are allowed to propagate to future generations of the GA run using selection, crossover and mutation. The dataset consists of thermographic images of hands of patients suffering from upper extremity musculo-skeletal disorders (UEMSD). Thermographic images are acquired to study the skin temperature as a surrogate for the amount of blood flow in the hands of these patients. Since entire hands are not visible on these images, segmentation of the outline of the hands on these images is typically performed by a human. In this paper several different methods have been tried for segmenting thermographic images: Gabor-wavelet-based texture segmentation method, the level set method of segmentation and our GA which we termed LSGA because it combines level sets with genetic algorithms. The results show a comparative evaluation of the segmentation performed by all the methods. We conclude that LSGA successfully segments entire hands on images in which hands are only partially visible.

  14. Building Roof Segmentation from Aerial Images Using a Line-and Region-Based Watershed Segmentation Technique

    OpenAIRE

    Merabet, Youssef El; Meurie, Cyril; Ruichek, Yassine; Sbihi, Abderrahmane; Touahni, Raja

    2015-01-01

    In this paper, we present a novel strategy for roof segmentation from aerial images (orthophotoplans) based on the cooperation of edge- and region-based segmentation methods. The proposed strategy is composed of three major steps. The first one, called the pre-processing step, consists of simplifying the acquired image with an appropriate couple of invariant and gradient, optimized for the application, in order to limit illumination changes (shadows, brightness, etc.) affecting the images. Th...

  15. Pancreas and cyst segmentation

    Science.gov (United States)

    Dmitriev, Konstantin; Gutenko, Ievgeniia; Nadeem, Saad; Kaufman, Arie

    2016-03-01

    Accurate segmentation of abdominal organs from medical images is an essential part of surgical planning and computer-aided disease diagnosis. Many existing algorithms are specialized for the segmentation of healthy organs. Cystic pancreas segmentation is especially challenging due to its low contrast boundaries, variability in shape, location and the stage of the pancreatic cancer. We present a semi-automatic segmentation algorithm for pancreata with cysts. In contrast to existing automatic segmentation approaches for healthy pancreas segmentation which are amenable to atlas/statistical shape approaches, a pancreas with cysts can have even higher variability with respect to the shape of the pancreas due to the size and shape of the cyst(s). Hence, fine results are better attained with semi-automatic steerable approaches. We use a novel combination of random walker and region growing approaches to delineate the boundaries of the pancreas and cysts with respective best Dice coefficients of 85.1% and 86.7%, and respective best volumetric overlap errors of 26.0% and 23.5%. Results show that the proposed algorithm for pancreas and pancreatic cyst segmentation is accurate and stable.

  16. Familial segmental neurofibromatosis.

    Science.gov (United States)

    Oguzkan, Sibel; Cinbis, Mine; Ayter, Sükriye; Anlar, Banu; Aysun, Sabiha

    2004-05-01

    Segmental neurofibromatosis is considered to be the result of postzygotic NF1 gene mutations. We present a family in which the proband has generalized neurofibromatosis 1, whereas members of previous generations manifest segmental skin lesions. All, including the clinically asymptomatic grandmother, carry the same haplotype. This is the only case in the literature in which a parent with segmental skin findings has a child with full-blown neurofibromatosis 1 disease. The genetic mechanisms underlying this association are discussed. This family can be further investigated by examination of tissue samples from affected and unaffected sites for mutations.

  17. Somatically acquired structural genetic differences

    DEFF Research Database (Denmark)

    Magaard Koldby, Kristina; Nygaard, Marianne; Christensen, Kaare

    2016-01-01

    Structural genetic variants like copy number variants (CNVs) comprise a large part of human genetic variation and may be inherited as well as somatically acquired. Recent studies have reported the presence of somatically acquired structural variants in the human genome and it has been suggested...... with age.European Journal of Human Genetics advance online publication, 20 April 2016; doi:10.1038/ejhg.2016.34....

  18. Segmentation of antiperspirants and deodorants

    OpenAIRE

    Král, Tomáš

    2009-01-01

    The goal of Master's Thesis on topic Segmentation of antiperspirants and deodorants is to discover differences in consumer's behaviour, determinate and describe segments of consumers based on these differences and propose marketing strategy for the most attractive segments. Theoretical part describes market segmentation in general, process of segmentation and segmentation criteria. Analytic part characterizes Czech market of antiperspirants and deodorants, analyzes ACNielsen market data and d...

  19. Sclerosing segmental neurofibromatosis.

    Science.gov (United States)

    Lee, Joong Sun; Kim, You Chan

    2005-04-01

    Segmental neurofibromatosis is a rare disorder characterized by cafe-au-lait macules and/or neurofibromas limited to a single body segment. The neurofibromas in segmental neurofibromatosis are usually soft, non-tender nodules as in other types of neurofibromatosis. Histopathologically, they are usually non-encapsulated, loosely textured dermal tumors. We report a case of sclerosing segmental neurofibromatosis, in which the patient presented with several grouped, erythematous to brownish, firm tender nodules on the left side of the posterior neck. Histopathologically, the stroma was mostly very fibrotic, especially around hair follicles, in addition to the usual features of neurofibroma. The atypical clinical feature, hardness, and tenderness of the lesions may be associated with the fibrosis.

  20. Automatic Segmentation of Vessels in In-Vivo Ultrasound Scans

    DEFF Research Database (Denmark)

    Tamimi-Sarnikowski, Philip; Brink-Kjær, Andreas; Moshavegh, Ramin

    2017-01-01

    presents a fully automatic segmentation algorithm, for robustly segmenting the vessel lumen in longitudinal B-mode ultrasound images. The automatic segmentation is performed using a combination of B-mode and power Doppler images. The proposed algorithm includes a series of preprocessing steps, and performs...... a vessel segmentation by use of the marker-controlled watershed transform. The ultrasound images used in the study were acquired using the bk3000 ultrasound scanner (BK Ultrasound, Herlev, Denmark) with two transducers ”8L2 Linear” and ”10L2w Wide Linear” (BK Ultrasound, Herlev, Denmark). The algorithm...... was evaluated empirically and applied to a dataset of in-vivo 1770 images recorded from 8 healthy subjects. The segmentation results were compared to manual delineation performed by two experienced users. The results showed a sensitivity and specificity of 90.41 ± 11.2 % and 97.93 ± 5.7 % (mean ± standard...

  1. Universal Numeric Segmented Display

    OpenAIRE

    Azad, Md. Abul Kalam; Sharmeen, Rezwana; S. M. Kamruzzaman

    2010-01-01

    Segmentation display plays a vital role to display numerals. But in today's world matrix display is also used in displaying numerals. Because numerals has lots of curve edges which is better supported by matrix display. But as matrix display is costly and complex to implement and also needs more memory, segment display is generally used to display numerals. But as there is yet no proposed compact display architecture to display multiple language numerals at a time, this paper proposes uniform...

  2. Strategic market segmentation

    Directory of Open Access Journals (Sweden)

    Maričić Branko R.

    2015-01-01

    Full Text Available Strategic planning of marketing activities is the basis of business success in modern business environment. Customers are not homogenous in their preferences and expectations. Formulating an adequate marketing strategy, focused on realization of company's strategic objectives, requires segmented approach to the market that appreciates differences in expectations and preferences of customers. One of significant activities in strategic planning of marketing activities is market segmentation. Strategic planning imposes a need to plan marketing activities according to strategically important segments on the long term basis. At the same time, there is a need to revise and adapt marketing activities on the short term basis. There are number of criteria based on which market segmentation is performed. The paper will consider effectiveness and efficiency of different market segmentation criteria based on empirical research of customer expectations and preferences. The analysis will include traditional criteria and criteria based on behavioral model. The research implications will be analyzed from the perspective of selection of the most adequate market segmentation criteria in strategic planning of marketing activities.

  3. Gamifying Video Object Segmentation.

    Science.gov (United States)

    Spampinato, Concetto; Palazzo, Simone; Giordano, Daniela

    2017-10-01

    Video object segmentation can be considered as one of the most challenging computer vision problems. Indeed, so far, no existing solution is able to effectively deal with the peculiarities of real-world videos, especially in cases of articulated motion and object occlusions; limitations that appear more evident when we compare the performance of automated methods with the human one. However, manually segmenting objects in videos is largely impractical as it requires a lot of time and concentration. To address this problem, in this paper we propose an interactive video object segmentation method, which exploits, on one hand, the capability of humans to identify correctly objects in visual scenes, and on the other hand, the collective human brainpower to solve challenging and large-scale tasks. In particular, our method relies on a game with a purpose to collect human inputs on object locations, followed by an accurate segmentation phase achieved by optimizing an energy function encoding spatial and temporal constraints between object regions as well as human-provided location priors. Performance analysis carried out on complex video benchmarks, and exploiting data provided by over 60 users, demonstrated that our method shows a better trade-off between annotation times and segmentation accuracy than interactive video annotation and automated video object segmentation approaches.

  4. Building Roof Segmentation from Aerial Images Using a Line-and Region-Based Watershed Segmentation Technique

    Science.gov (United States)

    Merabet, Youssef El; Meurie, Cyril; Ruichek, Yassine; Sbihi, Abderrahmane; Touahni, Raja

    2015-01-01

    In this paper, we present a novel strategy for roof segmentation from aerial images (orthophotoplans) based on the cooperation of edge- and region-based segmentation methods. The proposed strategy is composed of three major steps. The first one, called the pre-processing step, consists of simplifying the acquired image with an appropriate couple of invariant and gradient, optimized for the application, in order to limit illumination changes (shadows, brightness, etc.) affecting the images. The second step is composed of two main parallel treatments: on the one hand, the simplified image is segmented by watershed regions. Even if the first segmentation of this step provides good results in general, the image is often over-segmented. To alleviate this problem, an efficient region merging strategy adapted to the orthophotoplan particularities, with a 2D modeling of roof ridges technique, is applied. On the other hand, the simplified image is segmented by watershed lines. The third step consists of integrating both watershed segmentation strategies into a single cooperative segmentation scheme in order to achieve satisfactory segmentation results. Tests have been performed on orthophotoplans containing 100 roofs with varying complexity, and the results are evaluated with the VINETcriterion using ground-truth image segmentation. A comparison with five popular segmentation techniques of the literature demonstrates the effectiveness and the reliability of the proposed approach. Indeed, we obtain a good segmentation rate of 96% with the proposed method compared to 87.5% with statistical region merging (SRM), 84% with mean shift, 82% with color structure code (CSC), 80% with efficient graph-based segmentation algorithm (EGBIS) and 71% with JSEG. PMID:25648706

  5. Rediscovering market segmentation.

    Science.gov (United States)

    Yankelovich, Daniel; Meer, David

    2006-02-01

    In 1964, Daniel Yankelovich introduced in the pages of HBR the concept of nondemographic segmentation, by which he meant the classification of consumers according to criteria other than age, residence, income, and such. The predictive power of marketing studies based on demographics was no longer strong enough to serve as a basis for marketing strategy, he argued. Buying patterns had become far better guides to consumers' future purchases. In addition, properly constructed nondemographic segmentations could help companies determine which products to develop, which distribution channels to sell them in, how much to charge for them, and how to advertise them. But more than 40 years later, nondemographic segmentation has become just as unenlightening as demographic segmentation had been. Today, the technique is used almost exclusively to fulfill the needs of advertising, which it serves mainly by populating commercials with characters that viewers can identify with. It is true that psychographic types like "High-Tech Harry" and "Joe Six-Pack" may capture some truth about real people's lifestyles, attitudes, self-image, and aspirations. But they are no better than demographics at predicting purchase behavior. Thus they give corporate decision makers very little idea of how to keep customers or capture new ones. Now, Daniel Yankelovich returns to these pages, with consultant David Meer, to argue the case for a broad view of nondemographic segmentation. They describe the elements of a smart segmentation strategy, explaining how segmentations meant to strengthen brand identity differ from those capable of telling a company which markets it should enter and what goods to make. And they introduce their "gravity of decision spectrum", a tool that focuses on the form of consumer behavior that should be of the greatest interest to marketers--the importance that consumers place on a product or product category.

  6. Prolonged acquired neutropenia in children.

    Science.gov (United States)

    Sheen, Jiunn-Ming; Kuo, Ho-Chang; Yu, Hong-Ren; Huang, Eng-Yen; Wu, Chih-Chiang; Yang, Kuender D

    2009-12-15

    Acquired neutropenia is not uncommon in childhood. This study investigated the risk factors associated with developing prolonged acquired neutropenia. We reviewed 66,062 hospital admission medical records from the 5-year period January 1, 2002 to December 31, 2006 to identify neutropenic patients, with and without follow-up of their neutropenic course until December 31, 2007. After excluding patients with malignancy, collagen disease, bone marrow failure, prematurity, hereditary disease, congenital neutropenia, immunodeficiency, or status post-liver transplantation, 735 admissions with acquired neutropenia were included in our study. A total of 474 patients with 735 admissions had moderate or severe neutropenia during the 5-year period. Among the 252 acquired neutropenia patients who had follow-up for at least 1 month, 226 patients recovered within 3 months, while 26 patients remained neutropenic after 3 months. Of these 26 patients, 14 recovered after 1 year. An absolute neutrophil count of thrombocytosis (OR: 5.76, 95% CI: 1.78-18.58), and age thrombocytosis, and CMV infection. Neutropenic infants with CMV infection may require antiviral therapy to prevent prolonged acquired neutropenia. (c) 2009 Wiley-Liss, Inc.

  7. Sloped Terrain Segmentation for Autonomous Drive Using Sparse 3D Point Cloud

    OpenAIRE

    Seoungjae Cho; Jonghyun Kim; Warda Ikram; Kyungeun Cho; Young-Sik Jeong; Kyhyun Um; Sungdae Sim

    2014-01-01

    A ubiquitous environment for road travel that uses wireless networks requires the minimization of data exchange between vehicles. An algorithm that can segment the ground in real time is necessary to obtain location data between vehicles simultaneously executing autonomous drive. This paper proposes a framework for segmenting the ground in real time using a sparse three-dimensional (3D) point cloud acquired from undulating terrain. A sparse 3D point cloud can be acquired by scanning the geogr...

  8. Rhythm & Cues : Rhythmic structure and segmentation in early language acquisition

    NARCIS (Netherlands)

    Keij, B.M.

    2017-01-01

    This dissertation studies the early acquisition of rhythmic structure and its use in speech segmentation from a cross-linguistic perspective. The main claim is that infants are able to acquire the rhythmic structure of their native language by the age of 6 months and that they are, in addition, able

  9. Segmental neurofibromatosis in childhood.

    Science.gov (United States)

    Listernick, Robert; Mancini, Anthony J; Charrow, Joel

    2003-08-30

    Segmental neurofibromatosis refers to individuals who have manifestations of neurofibromatosis type 1 (NF-1) limited to one area of the body. It results from a post-conceptional mutation in the NF-1 gene leading to somatic mosaicism. Although it is generally considered a rare condition, this report of 39 children with segmental NF-1 demonstrates that it is commonly seen in a pediatric NF-1 referral center. The mean age at diagnosis was 7.8 years (range: 2-25 years). Twenty-nine patients had only pigmentary manifestations of segmental NF-1, including seven who had only café-au-lait macules and 22 who had café-au-lait macules and freckling. Two patients had isolated plexiform neurofibromas; a third patient had a plexiform neurofibroma of the eyelid in addition to ipsilateral dysplasia of the sphenoid wing and Lisch nodules. A 12-year-old girl had an isolated tibial pseudarthrosis. An 8-year-old boy had an isolated optic pathway tumor, which behaved both biologically and radiographically as an NF1-associated tumor. While most children with segmental NF-1 have only localized pigmentary changes, some children will have isolated plexiform neurofibromas, pseudarthroses, or optic pathway tumors. Accurate diagnosis of segmental NF-1 is crucial for both management and genetic counseling. Copyright 2003 Wiley-Liss, Inc.

  10. Acquiring taste in home economics?

    DEFF Research Database (Denmark)

    Stenbak Larsen, Christian

    that the pupils were encouraged to use their senses: listen to things frying, touch the meat to check if it was done and taste the food in the process of seasoning it. But while some children learned what the teachers expected: to produce well tasting food, others learned to cook very salty and hot food...... appreciated by the group of boys, and others again learned to stick with their idiosyncrasies when pressured by the teacher. Conclusions: Children were acquiring taste in the home economic lessons, but not only the kind of tastes that the teacher had planned for. This leads to reflections on the very complex...... process of taste acquiring and to a call for further research into taste acquiring in complex real life contexts as home economics lessons....

  11. A toolbox for multiple sclerosis lesion segmentation

    Energy Technology Data Exchange (ETDEWEB)

    Roura, Eloy; Oliver, Arnau; Valverde, Sergi; Llado, Xavier [University of Girona, Computer Vision and Robotics Group, Girona (Spain); Cabezas, Mariano; Pareto, Deborah; Rovira, Alex [Vall d' Hebron University Hospital, Magnetic Resonance Unit, Dept. of Radiology, Barcelona (Spain); Vilanova, Joan C. [Girona Magnetic Resonance Center, Girona (Spain); Ramio-Torrenta, Lluis [Dr. Josep Trueta University Hospital, Institut d' Investigacio Biomedica de Girona, Multiple Sclerosis and Neuroimmunology Unit, Girona (Spain)

    2015-10-15

    Lesion segmentation plays an important role in the diagnosis and follow-up of multiple sclerosis (MS). This task is very time-consuming and subject to intra- and inter-rater variability. In this paper, we present a new tool for automated MS lesion segmentation using T1w and fluid-attenuated inversion recovery (FLAIR) images. Our approach is based on two main steps, initial brain tissue segmentation according to the gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF) performed in T1w images, followed by a second step where the lesions are segmented as outliers to the normal apparent GM brain tissue on the FLAIR image. The tool has been validated using data from more than 100 MS patients acquired with different scanners and at different magnetic field strengths. Quantitative evaluation provided a better performance in terms of precision while maintaining similar results on sensitivity and Dice similarity measures compared with those of other approaches. Our tool is implemented as a publicly available SPM8/12 extension that can be used by both the medical and research communities. (orig.)

  12. A toolbox for multiple sclerosis lesion segmentation.

    Science.gov (United States)

    Roura, Eloy; Oliver, Arnau; Cabezas, Mariano; Valverde, Sergi; Pareto, Deborah; Vilanova, Joan C; Ramió-Torrentà, Lluís; Rovira, Àlex; Lladó, Xavier

    2015-10-01

    Lesion segmentation plays an important role in the diagnosis and follow-up of multiple sclerosis (MS). This task is very time-consuming and subject to intra- and inter-rater variability. In this paper, we present a new tool for automated MS lesion segmentation using T1w and fluid-attenuated inversion recovery (FLAIR) images. Our approach is based on two main steps, initial brain tissue segmentation according to the gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF) performed in T1w images, followed by a second step where the lesions are segmented as outliers to the normal apparent GM brain tissue on the FLAIR image. The tool has been validated using data from more than 100 MS patients acquired with different scanners and at different magnetic field strengths. Quantitative evaluation provided a better performance in terms of precision while maintaining similar results on sensitivity and Dice similarity measures compared with those of other approaches. Our tool is implemented as a publicly available SPM8/12 extension that can be used by both the medical and research communities.

  13. Benchmark for license plate character segmentation

    Science.gov (United States)

    Gonçalves, Gabriel Resende; da Silva, Sirlene Pio Gomes; Menotti, David; Shwartz, William Robson

    2016-09-01

    Automatic license plate recognition (ALPR) has been the focus of many researches in the past years. In general, ALPR is divided into the following problems: detection of on-track vehicles, license plate detection, segmentation of license plate characters, and optical character recognition (OCR). Even though commercial solutions are available for controlled acquisition conditions, e.g., the entrance of a parking lot, ALPR is still an open problem when dealing with data acquired from uncontrolled environments, such as roads and highways when relying only on imaging sensors. Due to the multiple orientations and scales of the license plates captured by the camera, a very challenging task of the ALPR is the license plate character segmentation (LPCS) step, because its effectiveness is required to be (near) optimal to achieve a high recognition rate by the OCR. To tackle the LPCS problem, this work proposes a benchmark composed of a dataset designed to focus specifically on the character segmentation step of the ALPR within an evaluation protocol. Furthermore, we propose the Jaccard-centroid coefficient, an evaluation measure more suitable than the Jaccard coefficient regarding the location of the bounding box within the ground-truth annotation. The dataset is composed of 2000 Brazilian license plates consisting of 14000 alphanumeric symbols and their corresponding bounding box annotations. We also present a straightforward approach to perform LPCS efficiently. Finally, we provide an experimental evaluation for the dataset based on five LPCS approaches and demonstrate the importance of character segmentation for achieving an accurate OCR.

  14. Cooperative processes in image segmentation

    Science.gov (United States)

    Davis, L. S.

    1982-01-01

    Research into the role of cooperative, or relaxation, processes in image segmentation is surveyed. Cooperative processes can be employed at several levels of the segmentation process as a preprocessing enhancement step, during supervised or unsupervised pixel classification and, finally, for the interpretation of image segments based on segment properties and relations.

  15. And the Winner is - Acquired

    DEFF Research Database (Denmark)

    Henkel, Joachim; Rønde, Thomas; Wagner, Marcus

    2015-01-01

    that then commercialize the innovation. To this end we analyze an innovation game between one incumbent and a large number of entrants. In the first stage, firms compete to develop innovations of high quality. They do so by choosing, at equal cost, the success probability of their R&D approach, where a lower probability...... accompanies higher value in case of success—that is, a more radical innovation. In the second stage, successful entrants bid to be acquired by the incumbent. We assume that entrants cannot survive on their own, so being acquired amounts to a prize in a contest. We identify an equilibrium in which...

  16. Automatic Segmentation of MR Brain Images With a Convolutional Neural Network.

    Science.gov (United States)

    Moeskops, Pim; Viergever, Max A; Mendrik, Adrienne M; de Vries, Linda S; Benders, Manon J N L; Isgum, Ivana

    2016-05-01

    Automatic segmentation in MR brain images is important for quantitative analysis in large-scale studies with images acquired at all ages. This paper presents a method for the automatic segmentation of MR brain images into a number of tissue classes using a convolutional neural network. To ensure that the method obtains accurate segmentation details as well as spatial consistency, the network uses multiple patch sizes and multiple convolution kernel sizes to acquire multi-scale information about each voxel. The method is not dependent on explicit features, but learns to recognise the information that is important for the classification based on training data. The method requires a single anatomical MR image only. The segmentation method is applied to five different data sets: coronal T2-weighted images of preterm infants acquired at 30 weeks postmenstrual age (PMA) and 40 weeks PMA, axial T2-weighted images of preterm infants acquired at 40 weeks PMA, axial T1-weighted images of ageing adults acquired at an average age of 70 years, and T1-weighted images of young adults acquired at an average age of 23 years. The method obtained the following average Dice coefficients over all segmented tissue classes for each data set, respectively: 0.87, 0.82, 0.84, 0.86, and 0.91. The results demonstrate that the method obtains accurate segmentations in all five sets, and hence demonstrates its robustness to differences in age and acquisition protocol.

  17. 3D prostate segmentation of ultrasound images combining longitudinal image registration and machine learning

    Science.gov (United States)

    Yang, Xiaofeng; Fei, Baowei

    2012-02-01

    We developed a three-dimensional (3D) segmentation method for transrectal ultrasound (TRUS) images, which is based on longitudinal image registration and machine learning. Using longitudinal images of each individual patient, we register previously acquired images to the new images of the same subject. Three orthogonal Gabor filter banks were used to extract texture features from each registered image. Patient-specific Gabor features from the registered images are used to train kernel support vector machines (KSVMs) and then to segment the newly acquired prostate image. The segmentation method was tested in TRUS data from five patients. The average surface distance between our and manual segmentation is 1.18 +/- 0.31 mm, indicating that our automatic segmentation method based on longitudinal image registration is feasible for segmenting the prostate in TRUS images.

  18. Precise acquisition and unsupervised segmentation of multi-spectral images

    DEFF Research Database (Denmark)

    Gomez, David Delgado; Clemmensen, Line Katrine Harder; Ersbøll, Bjarne Kjær

    2007-01-01

    In this work, an integrated imaging system to obtain accurate and reproducible multi-spectral images and a novel multi-spectral image segmentation algorithm are proposed. The system collects up to 20 different spectral bands within a range that vary from 395 nm to 970 nm. The system is designed...... to acquire geometrically and chromatically corrected images in homogeneous and diffuse illumination, so images can be compared over time. The proposed segmentation algorithm combines the information provided by all the spectral bands to segment the different regions of interest. Three experiments...... are conducted to show the ability of the system to acquire highly precise, reproducible and standardized multi-spectral images and to show its applicabilities in different situations....

  19. Chan-Vese Segmentation

    Directory of Open Access Journals (Sweden)

    Pascal Getreuer

    2012-08-01

    Full Text Available While many segmentation methods rely heavily in some way on edge detection, the "Active Contours Without Edges" method by Chan and Vese ignores edges completely. Instead, the method optimally fits a two-phase piecewise constant model to the given image. The segmentation boundary is represented implicitly with a level set function, which allows the segmentation to handle topological changes more easily than explicit snake methods. This article describes the level set formulation of the Chan–Vese model and its numerical solution using a semi-implicit gradient descent. We also discuss the Chan–Sandberg–Vese method, a straightforward extension of Chan–Vese for vector-valued images.

  20. Segmentation of complex document

    Directory of Open Access Journals (Sweden)

    Souad Oudjemia

    2014-06-01

    Full Text Available In this paper we present a method for segmentation of documents image with complex structure. This technique based on GLCM (Grey Level Co-occurrence Matrix used to segment this type of document in three regions namely, 'graphics', 'background' and 'text'. Very briefly, this method is to divide the document image, in block size chosen after a series of tests and then applying the co-occurrence matrix to each block in order to extract five textural parameters which are energy, entropy, the sum entropy, difference entropy and standard deviation. These parameters are then used to classify the image into three regions using the k-means algorithm; the last step of segmentation is obtained by grouping connected pixels. Two performance measurements are performed for both graphics and text zones; we have obtained a classification rate of 98.3% and a Misclassification rate of 1.79%.

  1. Tertiary center experience with primary endoscopic laryngoplasty in pediatric acquired subglottic stenosis and literature review

    Directory of Open Access Journals (Sweden)

    Jaber Alshammari

    2017-03-01

    Conclusion: Our study showed that primary endoscopic management was successful in 82.3% of cases of acquired subglottic stenosis including those with high grade stenosis and long segment of more than 12 mm in terms of the craniocaudal length. CO2 laser was an important tool to convert mature hard stenotic segment into a soft one. The latter yielded to the lateral pressure created by balloon dilatation better.

  2. Segmentation and Quantitative Analysis of Epithelial Tissues.

    Science.gov (United States)

    Aigouy, Benoit; Umetsu, Daiki; Eaton, Suzanne

    2016-01-01

    Epithelia are tissues that regulate exchanges with the environment. They are very dynamic and can acquire virtually any shape; at the cellular level, they are composed of cells tightly connected by junctions. Most often epithelia are amenable to live imaging; however, the large number of cells composing an epithelium and the absence of informatics tools dedicated to epithelial analysis largely prevented tissue scale studies. Here we present Tissue Analyzer, a free tool that can be used to segment and analyze epithelial cells and monitor tissue dynamics.

  3. Prosodic Structure in Early Word Segmentation: ERP Evidence From Dutch Ten-Month-Olds

    NARCIS (Netherlands)

    Kooijman, V.M.; Hagoort, P.; Cutler, A.

    2009-01-01

    Recognizing word boundaries in continuous speech requires detailed knowledge of the native language. In the first year of life, infants acquire considerable word segmentation abilities. Infants at this early stage in word segmentation rely to a large extent on the metrical pattern of their native

  4. Segmental Neurofibromatosis: Atypical Localisation

    Directory of Open Access Journals (Sweden)

    Filiz Topaloğlu Demir

    2015-06-01

    Full Text Available Neurofibromatosis (NF is a genetic disease leading pathological findings in skin, soft tissue, bone and nervous system by affecting neural crest cells. Due to its heterogeneity neurofibromatosis was divided into eight different subgroups (NF-I NF-VIII by Riccardi. Segmental neurofibromatosis (NF type V is characterized by cutaneous neurofibromas and Café-au-lait spots limited with a segment of dermatome. Here we report this case with numerous, painless cutaneous nodules showing extension from the shoulder to the dorsal aspect of the right hand, since it a rare case.

  5. A framework for retinal vasculature segmentation based on matched filters.

    Science.gov (United States)

    Meng, Xianjing; Yin, Yilong; Yang, Gongping; Han, Zhe; Yan, Xiaowei

    2015-10-24

    Automatic fundus image processing plays a significant role in computer-assisted retinopathy diagnosis. As retinal vasculature is an important anatomical structure in ophthalmic images, recently, retinal vasculature segmentation has received considerable attention from researchers. A segmentation method usually consists of three steps: preprocessing, segmentation, post-processing. Most of the existing methods emphasize on the segmentation step. In our opinion, the vessels and background can be easily separable when suitable preprocessing exists. This paper represents a new matched filter-based vasculature segmentation method for 2-D retinal images. First of all, a raw segmentation is acquired by thresholding the images preprocessed using weighted improved circular gabor filter and multi-directional multi-scale second derivation of Gaussian. After that, the raw segmented image is fine-tuned by a set of novel elongating filters. Finally, we eliminate the speckle like regions and isolated pixels, most of which are non-vessel noises and miss-classified fovea or pathological regions. The performance of the proposed method is examined on two popularly used benchmark databases: DRIVE and STARE. The accuracy values are 95.29 and 95.69 %, respectively, without a significant degradation of specificity and sensitivity. The performance of the proposed method is significantly better than almost all unsupervised methods, in addition, comparable to most of the existing supervised vasculature segmentation methods.

  6. Application of reinforcement learning for segmentation of transrectal ultrasound images.

    Science.gov (United States)

    Sahba, Farhang; Tizhoosh, Hamid R; Salama, Magdy M A

    2008-04-22

    Among different medical image modalities, ultrasound imaging has a very widespread clinical use. But, due to some factors, such as poor image contrast, noise and missing or diffuse boundaries, the ultrasound images are inherently difficult to segment. An important application is estimation of the location and volume of the prostate in transrectal ultrasound (TRUS) images. For this purpose, manual segmentation is a tedious and time consuming procedure. We introduce a new method for the segmentation of the prostate in transrectal ultrasound images, using a reinforcement learning scheme. This algorithm is used to find the appropriate local values for sub-images and to extract the prostate. It contains an offline stage, where the reinforcement learning agent uses some images and manually segmented versions of these images to learn from. The reinforcement agent is provided with reward/punishment, determined objectively to explore/exploit the solution space. After this stage, the agent has acquired knowledge stored in the Q-matrix. The agent can then use this knowledge for new input images to extract a coarse version of the prostate. We have carried out experiments to segment TRUS images. The results demonstrate the potential of this approach in the field of medical image segmentation. By using the proposed method, we can find the appropriate local values and segment the prostate. This approach can be used for segmentation tasks containing one object of interest. To improve this prototype, more investigations are needed.

  7. Application of reinforcement learning for segmentation of transrectal ultrasound images

    Directory of Open Access Journals (Sweden)

    Tizhoosh Hamid R

    2008-04-01

    Full Text Available Abstract Background Among different medical image modalities, ultrasound imaging has a very widespread clinical use. But, due to some factors, such as poor image contrast, noise and missing or diffuse boundaries, the ultrasound images are inherently difficult to segment. An important application is estimation of the location and volume of the prostate in transrectal ultrasound (TRUS images. For this purpose, manual segmentation is a tedious and time consuming procedure. Methods We introduce a new method for the segmentation of the prostate in transrectal ultrasound images, using a reinforcement learning scheme. This algorithm is used to find the appropriate local values for sub-images and to extract the prostate. It contains an offline stage, where the reinforcement learning agent uses some images and manually segmented versions of these images to learn from. The reinforcement agent is provided with reward/punishment, determined objectively to explore/exploit the solution space. After this stage, the agent has acquired knowledge stored in the Q-matrix. The agent can then use this knowledge for new input images to extract a coarse version of the prostate. Results We have carried out experiments to segment TRUS images. The results demonstrate the potential of this approach in the field of medical image segmentation. Conclusion By using the proposed method, we can find the appropriate local values and segment the prostate. This approach can be used for segmentation tasks containing one object of interest. To improve this prototype, more investigations are needed.

  8. Acquired tracheo-oesophageal fistula.

    Directory of Open Access Journals (Sweden)

    Shah C

    1994-04-01

    Full Text Available Acquired tracheo-oesophageal fistula is rare. The most common causes are tuberculosis and malignancy. Here we report a patient who had come with dysphagia and aspiration pneumonia with paratracheal lymphnodes on X-ray chest and was diagnosed to have a tracheo-bronchial fistula on barium studies. Transtumoral intubation by pull-through method was carried out.

  9. Shape-Constrained Multi-Atlas Segmentation of Spleen in CT

    OpenAIRE

    Xu, Zhoubing; Li, Bo; Panda, Swetasudha; Asman, Andrew J.; Merkle, Kristen L.; Shanahan, Peter L.; Abramson, Richard G.; Landman, Bennett A.

    2014-01-01

    Spleen segmentation on clinically acquired CT data is a challenging problem given the complicity and variability of abdominal anatomy. Multi-atlas segmentation is a potential method for robust estimation of spleen segmentations, but can be negatively impacted by registration errors. Although labeled atlases explicitly capture information related to feasible organ shapes, multi-atlas methods have largely used this information implicitly through registration. We propose to integrate a level set...

  10. Dictionary Based Image Segmentation

    DEFF Research Database (Denmark)

    Dahl, Anders Bjorholm; Dahl, Vedrana Andersen

    2015-01-01

    We propose a method for weakly supervised segmentation of natural images, which may contain both textured or non-textured regions. Our texture representation is based on a dictionary of image patches. To divide an image into separated regions with similar texture we use an implicit level sets...

  11. Thoracoscopic Subsuperior Segment Segmentectomy.

    Science.gov (United States)

    Shimizu, Kimihiro; Mogi, Akira; Yajima, Toshiki; Nagashima, Toshiteru; Ohtaki, Yoichi; Obayashi, Kai; Nakazawa, Seshiru; Kosaka, Takayuki; Kuwano, Hiroyuki

    2017-11-01

    To date, anatomic subsuperior segment (S∗) segmentectomy has not yet been reported. Herein we report the technical details of thoracoscopic anatomic S∗ segmentectomy and the anatomic features of the S∗. Copyright © 2017 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.

  12. Segmentation and crustal structure

    Indian Academy of Sciences (India)

    N; J. Geophys. Res. 105 8205–8226. Kamesh Raju K A, Ramprasad T and Subrahmanyam C. 1997 Geophysical investigations over a segment of the. Central Indian Ridge, Indian Ocean; Geo-Marine Lett. 17. 195–201. Kamesh Raju K A, Chaubey A K, Amarnath Dileep and. Mudholkar Abhay 2008 Morphotectonics of the ...

  13. Connecting textual segments

    DEFF Research Database (Denmark)

    Brügger, Niels

    2017-01-01

    history than just the years of the emergence of the web, the chapter traces the history of how segments of text have deliberately been connected to each other by the use of specific textual and media features, from clay tablets, manuscripts on parchment, and print, among others, to hyperlinks on stand......-alone computers and in local and global digital networks....

  14. Sipunculans and segmentation

    DEFF Research Database (Denmark)

    Wanninger, Andreas; Kristof, Alen; Brinkmann, Nora

    2009-01-01

    Comparative molecular, developmental and morphogenetic analyses show that the three major segmented animal groups- Lophotrochozoa, Ecdysozoa and Vertebrata-use a wide range of ontogenetic pathways to establish metameric body organization. Even in the life history of a single specimen, different m...

  15. CORNEA AND ANTERIOR SEGMENT

    African Journals Online (AJOL)

    2016-11-04

    Nov 4, 2016 ... 24. Nigerian Journal of Ophthalmology / Supplement 1 - 2014 - Volume 22. S24. CORNEA AND ANTERIOR SEGMENT. A Comparison of Visual Outcomes after Extracapsular Cataract. Surgery and Phacoemulsification in Eye Foundation Hospital. Lagos Nigeria. Oderinlo O. O., Hassan A. O., Oluyadi F. O., ...

  16. Labor market segmentation

    OpenAIRE

    Berndt Christian

    2017-01-01

    This contribution to the International Encyclopedia of Geography is a reinterpretation of labor market segmentation theories mapping the evolution of this perspective on labor markets and using the findings of the care market project to reflect on the rising importance of female migrant labor in the domestic sphere and the question of diversity and inequalities in the labor market.

  17. Occupationally Acquired American Cutaneous Leishmaniasis

    Directory of Open Access Journals (Sweden)

    Maria Edileuza Felinto de Brito

    2012-01-01

    Full Text Available We report two occupationally acquired cases of American cutaneous leishmaniasis (ACL: one accidental laboratory autoinoculation by contaminated needlestick while handling an ACL lesion sample, and one acquired during field studies on bird biology. Polymerase chain reaction (PCR assays of patient lesions were positive for Leishmania, subgenus Viannia. One isolate was obtained by culture (from patient 2 biopsy samples and characterized as Leishmania (Viannia naiffi through an indirect immunofluorescence assay (IFA with species-specific monoclonal antibodies (mAbs and by multilocus enzyme electrophoresis (MLEE. Patients were successfully treated with N-methyl-glucamine. These two cases highlight the potential risks of laboratory and field work and the need to comply with strict biosafety procedures in daily routines. The swab collection method, coupled with PCR detection, has greatly improved ACL laboratory diagnosis.

  18. Segmentation in Tardigrada and diversification of segmental patterns in Panarthropoda.

    Science.gov (United States)

    Smith, Frank W; Goldstein, Bob

    2017-05-01

    The origin and diversification of segmented metazoan body plans has fascinated biologists for over a century. The superphylum Panarthropoda includes three phyla of segmented animals-Euarthropoda, Onychophora, and Tardigrada. This superphylum includes representatives with relatively simple and representatives with relatively complex segmented body plans. At one extreme of this continuum, euarthropods exhibit an incredible diversity of serially homologous segments. Furthermore, distinct tagmosis patterns are exhibited by different classes of euarthropods. At the other extreme, all tardigrades share a simple segmented body plan that consists of a head and four leg-bearing segments. The modular body plans of panarthropods make them a tractable model for understanding diversification of animal body plans more generally. Here we review results of recent morphological and developmental studies of tardigrade segmentation. These results complement investigations of segmentation processes in other panarthropods and paleontological studies to illuminate the earliest steps in the evolution of panarthropod body plans. Copyright © 2016 Elsevier Ltd. All rights reserved.

  19. Words and syllables in fluent speech segmentation by French-learning infants: an ERP study.

    Science.gov (United States)

    Goyet, Louise; de Schonen, Scania; Nazzi, Thierry

    2010-05-21

    In order to acquire their native language, infants must learn to identify and segment word forms in continuous speech. This word segmentation ability is thus crucial for language acquisition. Previous behavioral studies have shown that it emerges during the first year of life, and that early segmentation differs according to the language in acquisition. In particular, linguistic rhythm, which differs across classes of languages, has been found to have an early impact on segmentation abilities. For French, behavioral evidence showed that infants could use the rhythmic unit appropriate to their native language (the syllable) to segment fluent speech by 12months of age, but failed to show whole word segmentation at that age, a surprising delay compared to the emergence of segmentation abilities in other languages. Given the implications of such findings, the present study reevaluates the issue of whole word and syllabic segmentation, using an electrophysiological method, high-density ERPs (event-related potentials), rather than a behavioral technique, and by testing French-learning 12-month-olds on bisyllabic word segmentation. The ERP data show evidence of whole word segmentation while also confirming that French-learning infants rely on syllables to segment fluent speech. They establish that segmentation and recognition of words/syllables happen within 500ms of their onset, and raise questions regarding the interaction between syllabic segmentation and multisyllabic word recognition. Copyright 2010 Elsevier B.V. All rights reserved.

  20. [Acquired disorders of color vision].

    Science.gov (United States)

    Lascu, Lidia; Balaş, Mihaela

    2002-01-01

    This article is a general view of acquired disorders of color vision. The revision of the best known methods and of the etiopathogenic classification is not very important in ophthalmology but on the other hand, the detection of the blue defect advertise and associated ocular pathology. There is a major interest in serious diseases as multiple sclerosis, AIDS, diabetes melitus, when the first ocular sign can be a defect in the color vision.

  1. Emotional attention in acquired prosopagnosia

    Science.gov (United States)

    Lucas, Nadia; Mayer, Eugene; Vuilleumier, Patrik

    2009-01-01

    The present study investigated whether emotionally expressive faces guide attention and modulate fMRI activity in fusiform gyrus in acquired prosopagnosia. Patient PS, a pure case of acquired prosopagnosia with intact right middle fusiform gyrus, performed two behavioral experiments and a functional imaging experiment to address these questions. In a visual search task involving face stimuli, PS was faster to select the target face when it was expressing fear or happiness as compared to when it was emotionally neutral. In a change detection task, PS detected significantly more changes when the changed face was fearful as compared to when it was neutral. Finally, an fMRI experiment showed enhanced activation to emotionally expressive faces and bodies in right fusiform gyrus. In addition, PS showed normal body-selective activation in right fusiform gyrus, partially overlapping the fusiform face area. Together these behavioral and neuroimaging results show that attention was preferentially allocated to emotional faces in patient PS, as observed in healthy subjects. We conclude that systems involved in the emotional guidance of attention by facial expression can function normally in acquired prosopagnosia, and can thus be dissociated from systems involved in face identification. PMID:19401380

  2. Market segmentation: Venezuelan ADRs

    Directory of Open Access Journals (Sweden)

    Urbi Garay

    2012-12-01

    Full Text Available The control on foreign exchange imposed by Venezuela in 2003 constitute a natural experiment that allows researchers to observe the effects of exchange controls on stock market segmentation. This paper provides empirical evidence that although the Venezuelan capital market as a whole was highly segmented before the controls were imposed, the shares in the firm CANTV were, through their American Depositary Receipts (ADRs, partially integrated with the global market. Following the imposition of the exchange controls this integration was lost. Research also documents the spectacular and apparently contradictory rise experienced by the Caracas Stock Exchange during the serious economic crisis of 2003. It is argued that, as it happened in Argentina in 2002, the rise in share prices occurred because the depreciation of the Bolívar in the parallel currency market increased the local price of the stocks that had associated ADRs, which were negotiated in dollars.

  3. Labor market segmentation

    OpenAIRE

    Berndt, Christian

    2017-01-01

    Labor market segmentation theories arose as an alternative to neoclassical notions of labor and labor markets in the 1970s. After briefly revisiting the strengths and the weaknesses of this approach, the article discusses more recent developments around the question of difference and diversity in labor markets, directing attention to three key developments associated with the rise of neoliberal capitalism: (i) the formation of entrepreneurial subjectivities and the treatment of labor as a div...

  4. Spinal segmental dysgenesis CASE SERIES

    African Journals Online (AJOL)

    Spinal segmental dysgenesis is a rare congenital spinal abnormality seen in neonates and infants, in which a segment of the spine and spinal cord fails to develop normally. The condition is segmental in nature, with vertebrae above and below the malformation. It is commonly associated with various abnormalities that ...

  5. Market Segmentation for Information Services.

    Science.gov (United States)

    Halperin, Michael

    1981-01-01

    Discusses the advantages and limitations of market segmentation as strategy for the marketing of information services made available by nonprofit organizations, particularly libraries. Market segmentation is defined, a market grid for libraries is described, and the segmentation of information services is outlined. A 16-item reference list is…

  6. Segmenting the Adult Education Market.

    Science.gov (United States)

    Aurand, Tim

    1994-01-01

    Describes market segmentation and how the principles of segmentation can be applied to the adult education market. Indicates that applying segmentation techniques to adult education programs results in programs that are educationally and financially satisfying and serve an appropriate population. (JOW)

  7. Occupationally acquired tuberculosis: what's known.

    Science.gov (United States)

    Bowden, K M; McDiarmid, M A

    1994-03-01

    Tuberculosis (TB) morbidity and mortality have increased substantially since the mid-1980s in areas with a high prevalence of medically underserved populations, human immunodeficiency virus, foreign-born persons, residents of long-term care facilities and crowded correctional institutions, and alcoholics and intravenous-drug abusers. The occupational risk has likewise increased for those exposed to these high-risk people in the course of their work. The magnitude of the occupational hazard is present unclear, although implications are disturbing. We used available data bases containing occupational exposure information, and telephone surveys, in an attempt to elucidate the magnitude of risk of occupationally acquired TB. We obtained up-to-date employee conversion rates at high-risk institutions, identified changing rates of TB infection and disease over time, documented high conversion rates following accidental exposures, and revealed a relative lack of reported TB disease and deaths. Numerous barriers to worker protection against TB are identified and recommendations are made to reduce the risk of occupationally acquired tuberculosis.

  8. WAYS OF ACQUIRING FLYING PHOBIA.

    Science.gov (United States)

    Schindler, Bettina; Vriends, Noortje; Margraf, Jürgen; Stieglitz, Rolf-Dieter

    2016-02-01

    The few studies that have explored how flying phobia is acquired have produced contradictory results. We hypothesized that classical conditioning plays a role in acquiring flying phobia and investigated if vicarious (model) learning, informational learning through media, and experiencing stressful life events at the time of onset of phobia also play a role. Thirty patients with flying phobia and thirty healthy controls matched on age, sex, and education were interviewed with the Mini-DIPS, the short German version of the Anxiety Disorders Interview Schedule (DSM-IV diagnostic criteria) and the Fear-of-Flying History Interview. Fifty Percent of patients with flying phobia and 53% of healthy controls reported frightening events in the air. There was no significant difference between the two samples. Thus there were not more classical conditioning events for patients with flying phobia. There also was no significant difference between the two samples for vicarious (model) learning: 37% of flying phobia patients and 23% of healthy controls felt influenced by model learning. The influence of informational learning through media was significantly higher for the clinical sample (70%) than for the control group (37%). Patients with flying phobia experienced significantly more stressful life events in the period of their frightening flight experience (60%) than healthy controls (19%). Frightening experiences while flying are quite common, but not everybody develops a flying phobia. Stressful life events and other factors might enhance conditionability. Informational learning through negative media reports probably reinforces the development of flying phobia. Clinical implications are discussed. © 2015 Wiley Periodicals, Inc.

  9. Validation tools for image segmentation

    Science.gov (United States)

    Padfield, Dirk; Ross, James

    2009-02-01

    A large variety of image analysis tasks require the segmentation of various regions in an image. For example, segmentation is required to generate accurate models of brain pathology that are important components of modern diagnosis and therapy. While the manual delineation of such structures gives accurate information, the automatic segmentation of regions such as the brain and tumors from such images greatly enhances the speed and repeatability of quantifying such structures. The ubiquitous need for such algorithms has lead to a wide range of image segmentation algorithms with various assumptions, parameters, and robustness. The evaluation of such algorithms is an important step in determining their effectiveness. Therefore, rather than developing new segmentation algorithms, we here describe validation methods for segmentation algorithms. Using similarity metrics comparing the automatic to manual segmentations, we demonstrate methods for optimizing the parameter settings for individual cases and across a collection of datasets using the Design of Experiment framework. We then employ statistical analysis methods to compare the effectiveness of various algorithms. We investigate several region-growing algorithms from the Insight Toolkit and compare their accuracy to that of a separate statistical segmentation algorithm. The segmentation algorithms are used with their optimized parameters to automatically segment the brain and tumor regions in MRI images of 10 patients. The validation tools indicate that none of the ITK algorithms studied are able to outperform with statistical significance the statistical segmentation algorithm although they perform reasonably well considering their simplicity.

  10. FRAMEWORK FOR COMPARING SEGMENTATION ALGORITHMS

    Directory of Open Access Journals (Sweden)

    G. Sithole

    2015-05-01

    Full Text Available The notion of a ‘Best’ segmentation does not exist. A segmentation algorithm is chosen based on the features it yields, the properties of the segments (point sets it generates, and the complexity of its algorithm. The segmentation is then assessed based on a variety of metrics such as homogeneity, heterogeneity, fragmentation, etc. Even after an algorithm is chosen its performance is still uncertain because the landscape/scenarios represented in a point cloud have a strong influence on the eventual segmentation. Thus selecting an appropriate segmentation algorithm is a process of trial and error. Automating the selection of segmentation algorithms and their parameters first requires methods to evaluate segmentations. Three common approaches for evaluating segmentation algorithms are ‘goodness methods’, ‘discrepancy methods’ and ‘benchmarks’. Benchmarks are considered the most comprehensive method of evaluation. This paper shortcomings in current benchmark methods are identified and a framework is proposed that permits both a visual and numerical evaluation of segmentations for different algorithms, algorithm parameters and evaluation metrics. The concept of the framework is demonstrated on a real point cloud. Current results are promising and suggest that it can be used to predict the performance of segmentation algorithms.

  11. Weighted entropy for segmentation evaluation

    Science.gov (United States)

    Khan, Jesmin F.; Bhuiyan, Sharif M.

    2014-04-01

    In many image, video and computer vision systems the image segmentation is an essential part. Significant research has been done in image segmentation and a number of quantitative evaluation methods have already been proposed in the literature. However, often the segmentation evaluation is subjective that means it has been done visually or qualitatively. A segmentation evaluation method based on entropy is proposed in this work which is objective and simple to implement. A weighted self and mutual entropy are proposed to measure the dissimilarity of the pixels among the segmented regions and the similarity within a region. This evaluation technique gives a score that can be used to compare different segmentation algorithms for the same image, or to compare the segmentation results of a given algorithm with different images, or to find the best suited values of the parameters of a segmentation algorithm for a given image. The simulation results show that the proposed method can identify over-segmentation, under-segmentation, and the good segmentation.

  12. Segmental neurofibromatosis of face.

    Science.gov (United States)

    Agarwal, Anuja; Thappa, Devinder M; Jayanthi, S; Shivaswamy, K N

    2005-12-01

    A 38-year-old man presented with asymptomatic skin lesions over the left side of the face of 5-years duration. He had multiple discrete soft-to-firm papules and nodules on the left side of the face along the distribution of the mandibular division of the trigeminal nerve. Histopathology examination of one of the nodules (face) showed a non-encapsulated tumor of the dermis with normal overlying epidermis. The tumor consisted of loosely spaced spindle cells and wavy collagenous strands in a clear matrix. These features were consistent with our clinical diagnosis of segmental neurofibromatosis. This case is reported for its rarity and typical manifestations.

  13. Segmented Target Design

    Science.gov (United States)

    Merhi, Abdul Rahman; Frank, Nathan; Gueye, Paul; Thoennessen, Michael; MoNA Collaboration

    2013-10-01

    A proposed segmented target would improve decay energy measurements of neutron-unbound nuclei. Experiments like this have been performed at the National Superconducting Cyclotron Laboratory (NSCL) located at Michigan State University. Many different nuclei are produced in such experiments, some of which immediately decay into a charged particle and neutron. The charged particles are bent by a large magnet and measured by a suite of charged particle detectors. The neutrons are measured by the Modular Neutron Array (MoNA) and Large Multi-Institutional Scintillation Array (LISA). With the current target setup, a nucleus in a neutron-unbound state is produced with a radioactive beam impinged upon a beryllium target. The resolution of these measurements is very dependent on the target thickness since the nuclear interaction point is unknown. In a segmented target using alternating layers of silicon detectors and Be-targets, the Be-target in which the nuclear reaction takes place would be determined. Thus the experimental resolution would improve. This poster will describe the improvement over the current target along with the status of the design. Work supported by Augustana College and the National Science Foundation grant #0969173.

  14. OASIS is Automated Statistical Inference for Segmentation, with applications to multiple sclerosis lesion segmentation in MRI☆

    Science.gov (United States)

    Sweeney, Elizabeth M.; Shinohara, Russell T.; Shiee, Navid; Mateen, Farrah J.; Chudgar, Avni A.; Cuzzocreo, Jennifer L.; Calabresi, Peter A.; Pham, Dzung L.; Reich, Daniel S.; Crainiceanu, Ciprian M.

    2013-01-01

    Magnetic resonance imaging (MRI) can be used to detect lesions in the brains of multiple sclerosis (MS) patients and is essential for diagnosing the disease and monitoring its progression. In practice, lesion load is often quantified by either manual or semi-automated segmentation of MRI, which is time-consuming, costly, and associated with large inter- and intra-observer variability. We propose OASIS is Automated Statistical Inference for Segmentation (OASIS), an automated statistical method for segmenting MS lesions in MRI studies. We use logistic regression models incorporating multiple MRI modalities to estimate voxel-level probabilities of lesion presence. Intensity-normalized T1-weighted, T2-weighted, fluid-attenuated inversion recovery and proton density volumes from 131 MRI studies (98 MS subjects, 33 healthy subjects) with manual lesion segmentations were used to train and validate our model. Within this set, OASIS detected lesions with a partial area under the receiver operating characteristic curve for clinically relevant false positive rates of 1% and below of 0.59% (95% CI; [0.50%, 0.67%]) at the voxel level. An experienced MS neuroradiologist compared these segmentations to those produced by LesionTOADS, an image segmentation software that provides segmentation of both lesions and normal brain structures. For lesions, OASIS out-performed LesionTOADS in 74% (95% CI: [65%, 82%]) of cases for the 98 MS subjects. To further validate the method, we applied OASIS to 169 MRI studies acquired at a separate center. The neuroradiologist again compared the OASIS segmentations to those from LesionTOADS. For lesions, OASIS ranked higher than LesionTOADS in 77% (95% CI: [71%, 83%]) of cases. For a randomly selected subset of 50 of these studies, one additional radiologist and one neurologist also scored the images. Within this set, the neuroradiologist ranked OASIS higher than LesionTOADS in 76% (95% CI: [64%, 88%]) of cases, the neurologist 66% (95% CI: [52%, 78

  15. OASIS is Automated Statistical Inference for Segmentation, with applications to multiple sclerosis lesion segmentation in MRI.

    Science.gov (United States)

    Sweeney, Elizabeth M; Shinohara, Russell T; Shiee, Navid; Mateen, Farrah J; Chudgar, Avni A; Cuzzocreo, Jennifer L; Calabresi, Peter A; Pham, Dzung L; Reich, Daniel S; Crainiceanu, Ciprian M

    2013-01-01

    Magnetic resonance imaging (MRI) can be used to detect lesions in the brains of multiple sclerosis (MS) patients and is essential for diagnosing the disease and monitoring its progression. In practice, lesion load is often quantified by either manual or semi-automated segmentation of MRI, which is time-consuming, costly, and associated with large inter- and intra-observer variability. We propose OASIS is Automated Statistical Inference for Segmentation (OASIS), an automated statistical method for segmenting MS lesions in MRI studies. We use logistic regression models incorporating multiple MRI modalities to estimate voxel-level probabilities of lesion presence. Intensity-normalized T1-weighted, T2-weighted, fluid-attenuated inversion recovery and proton density volumes from 131 MRI studies (98 MS subjects, 33 healthy subjects) with manual lesion segmentations were used to train and validate our model. Within this set, OASIS detected lesions with a partial area under the receiver operating characteristic curve for clinically relevant false positive rates of 1% and below of 0.59% (95% CI; [0.50%, 0.67%]) at the voxel level. An experienced MS neuroradiologist compared these segmentations to those produced by LesionTOADS, an image segmentation software that provides segmentation of both lesions and normal brain structures. For lesions, OASIS out-performed LesionTOADS in 74% (95% CI: [65%, 82%]) of cases for the 98 MS subjects. To further validate the method, we applied OASIS to 169 MRI studies acquired at a separate center. The neuroradiologist again compared the OASIS segmentations to those from LesionTOADS. For lesions, OASIS ranked higher than LesionTOADS in 77% (95% CI: [71%, 83%]) of cases. For a randomly selected subset of 50 of these studies, one additional radiologist and one neurologist also scored the images. Within this set, the neuroradiologist ranked OASIS higher than LesionTOADS in 76% (95% CI: [64%, 88%]) of cases, the neurologist 66% (95% CI: [52%, 78

  16. Lymphoma in acquired generalized lipodystrophy.

    Science.gov (United States)

    Brown, Rebecca J; Chan, Jean L; Jaffe, Elaine S; Cochran, Elaine; DePaoli, Alex M; Gautier, Jean-Francois; Goujard, Cecile; Vigouroux, Corinne; Gorden, Phillip

    2016-01-01

    Acquired generalized lipodystrophy (AGL) is a rare disease thought to result from autoimmune destruction of adipose tissue. Peripheral T-cell lymphoma (PTCL) has been reported in two AGL patients. We report five additional cases of lymphoma in AGL, and analyze the role of underlying autoimmunity and recombinant human leptin (metreleptin) replacement in lymphoma development. Three patients developed lymphoma during metreleptin treatment (two PTCL and one ALK-positive anaplastic large cell lymphoma), and two developed lymphomas (mycosis fungoides and Burkitt lymphoma) without metreleptin. AGL is associated with high risk for lymphoma, especially PTCL. Autoimmunity likely contributes to this risk. Lymphoma developed with or without metreleptin, suggesting metreleptin does not directly cause lymphoma development; a theoretical role of metreleptin in lymphoma progression remains possible. For most patients with AGL and severe metabolic complications, the proven benefits of metreleptin on metabolic disease will likely outweigh theoretical risks of metreleptin in lymphoma development or progression.

  17. Acquired Functional Asplenia in Sarcoidosis

    Science.gov (United States)

    Stone, Richard W.; McDaniel, Willie R.; Armstrong, Earl M.; Young, Roscoe C.; Higginbotham-Ford, Edith A.

    1985-01-01

    Sarcoidosis is a recently identified cause of functional asplenia that can be diagnosed by radionuclide imaging. A 31-year-old woman with a five-year history of histologically compatible sarcoidosis was found to have nonvisualization of the spleen on technetium 99m sulfur colloid (radiopharmaceutical) liver-spleen scan. This scintigraphic finding was accompanied by poikilocytosis and Howell-Jolly bodies in the peripheral blood smear. A subsequent gallium 67 citrate scan reflected an abnormal increase in concentration of activity in the spleen, suggesting an active inflammatory process. Based upon this constellation of findings, it was concluded that acquired functional asplenia is the result of reticuloendothelial cell replacement via infiltration of the spleen by epithelioid cell granulomas of active sarcoidosis. This case also illustrates the reversibility of functional asplenia of sarcoidosis following adrenocorticosteroid therapy. Functional asplenia in sarcoidosis is now found to have a recognizable radionuclide imaging pattern. ImagesFigure 1Figure 2Figure 3 PMID:3908697

  18. Segmentation of the Infant Food Market

    OpenAIRE

    Hrůzová, Daniela

    2015-01-01

    The theoretical part covers general market segmentation, namely the marketing importance of differences among consumers, the essence of market segmentation, its main conditions and the process of segmentation, which consists of four consecutive phases - defining the market, determining important criteria, uncovering segments and developing segment profiles. The segmentation criteria, segmentation approaches, methods and techniques for the process of market segmentation are also described in t...

  19. Evaluating the impact of image preprocessing on iris segmentation

    Directory of Open Access Journals (Sweden)

    José F. Valencia-Murillo

    2014-08-01

    Full Text Available Segmentation is one of the most important stages in iris recognition systems. In this paper, image preprocessing algorithms are applied in order to evaluate their impact on successful iris segmentation. The preprocessing algorithms are based on histogram adjustment, Gaussian filters and suppression of specular reflections in human eye images. The segmentation method introduced by Masek is applied on 199 images acquired under unconstrained conditions, belonging to the CASIA-irisV3 database, before and after applying the preprocessing algorithms. Then, the impact of image preprocessing algorithms on the percentage of successful iris segmentation is evaluated by means of a visual inspection of images in order to determine if circumferences of iris and pupil were detected correctly. An increase from 59% to 73% in percentage of successful iris segmentation is obtained with an algorithm that combine elimination of specular reflections, followed by the implementation of a Gaussian filter having a 5x5 kernel. The results highlight the importance of a preprocessing stage as a previous step in order to improve the performance during the edge detection and iris segmentation processes.

  20. Cerebral vessels segmentation for light-sheet microscopy image using convolutional neural networks

    Science.gov (United States)

    Hu, Chaoen; Hui, Hui; Wang, Shuo; Dong, Di; Liu, Xia; Yang, Xin; Tian, Jie

    2017-03-01

    Cerebral vessel segmentation is an important step in image analysis for brain function and brain disease studies. To extract all the cerebrovascular patterns, including arteries and capillaries, some filter-based methods are used to segment vessels. However, the design of accurate and robust vessel segmentation algorithms is still challenging, due to the variety and complexity of images, especially in cerebral blood vessel segmentation. In this work, we addressed a problem of automatic and robust segmentation of cerebral micro-vessels structures in cerebrovascular images acquired by light-sheet microscope for mouse. To segment micro-vessels in large-scale image data, we proposed a convolutional neural networks (CNNs) architecture trained by 1.58 million pixels with manual label. Three convolutional layers and one fully connected layer were used in the CNNs model. We extracted a patch of size 32x32 pixels in each acquired brain vessel image as training data set to feed into CNNs for classification. This network was trained to output the probability that the center pixel of input patch belongs to vessel structures. To build the CNNs architecture, a series of mouse brain vascular images acquired from a commercial light sheet fluorescence microscopy (LSFM) system were used for training the model. The experimental results demonstrated that our approach is a promising method for effectively segmenting micro-vessels structures in cerebrovascular images with vessel-dense, nonuniform gray-level and long-scale contrast regions.

  1. Segmentation-DrivenTomographic Reconstruction

    DEFF Research Database (Denmark)

    Kongskov, Rasmus Dalgas

    ), the classical reconstruction methods suffer from their inability to handle limited and/ or corrupted data. Form any analysis tasks computationally demanding segmentation methods are used to automatically segment an object, after using a simple reconstruction method as a first step. In the literature, methods...... such that the segmentation subsequently can be carried out by use of a simple segmentation method, for instance just a thresholding method. We tested the advantages of going from a two-stage reconstruction method to a one stage segmentation-driven reconstruction method for the phase contrast tomography reconstruction...... problem. The tests showed a clear improvement for realistic materials simulations and that the one-stage method was clearly more robust toward noise. The noise-robustness result could be a step toward making this method more applicable for lab-scale experiments. We have introduced a segmentation...

  2. Segmented heat exchanger

    Science.gov (United States)

    Baldwin, Darryl Dean; Willi, Martin Leo; Fiveland, Scott Byron; Timmons, Kristine Ann

    2010-12-14

    A segmented heat exchanger system for transferring heat energy from an exhaust fluid to a working fluid. The heat exchanger system may include a first heat exchanger for receiving incoming working fluid and the exhaust fluid. The working fluid and exhaust fluid may travel through at least a portion of the first heat exchanger in a parallel flow configuration. In addition, the heat exchanger system may include a second heat exchanger for receiving working fluid from the first heat exchanger and exhaust fluid from a third heat exchanger. The working fluid and exhaust fluid may travel through at least a portion of the second heat exchanger in a counter flow configuration. Furthermore, the heat exchanger system may include a third heat exchanger for receiving working fluid from the second heat exchanger and exhaust fluid from the first heat exchanger. The working fluid and exhaust fluid may travel through at least a portion of the third heat exchanger in a parallel flow configuration.

  3. Segmentation Using Symmetry Deviation

    DEFF Research Database (Denmark)

    Hollensen, Christian; Højgaard, L.; Specht, L.

    2011-01-01

    Purpose: The manual delineation of gross tumour volume(GTV) for radiation therapy for head and neck cancer patients relies in some degree of pathological deviation from normal anatomical symmetry. The purpose of this study is to introduce a novel method for 3-dimensional determination of GTV...... hypopharyngeal cancer patients to find anatomical symmetry and evaluate it against the standard deviation of the normal patients to locate pathologic volumes. Combining the information with an absolute PET threshold of 3 Standard uptake value (SUV) a volume was automatically delineated. The overlap of automated...... segmentations on manual contours was evaluated using concordance index and sensitivity for the hypopharyngeal patients. The resulting concordance index and sensitivity was compared with the result of using a threshold of 3 SUV using a paired t-test. Results: The anatomical and symmetrical atlas was constructed...

  4. Optimally segmented magnetic structures

    DEFF Research Database (Denmark)

    Insinga, Andrea Roberto; Bahl, Christian; Bjørk, Rasmus

    We present a semi-analytical algorithm for magnet design problems, which calculates the optimal way to subdivide a given design region into uniformly magnetized segments.The availability of powerful rare-earth magnetic materials such as Nd-Fe-B has broadened the range of applications of permanent...... is not available.We will illustrate the results for magnet design problems from different areas, such as electric motors/generators (as the example in the picture), beam focusing for particle accelerators and magnetic refrigeration devices....... magnets[1][2]. However, the powerful rare-earth magnets are generally expensive, so both the scientific and industrial communities have devoted a lot of effort into developing suitable design methods. Even so, many magnet optimization algorithms either are based on heuristic approaches[3...

  5. Generalizing cell segmentation and quantification.

    Science.gov (United States)

    Wang, Zhenzhou; Li, Haixing

    2017-03-23

    In recent years, the microscopy technology for imaging cells has developed greatly and rapidly. The accompanying requirements for automatic segmentation and quantification of the imaged cells are becoming more and more. After studied widely in both scientific research and industrial applications for many decades, cell segmentation has achieved great progress, especially in segmenting some specific types of cells, e.g. muscle cells. However, it lacks a framework to address the cell segmentation problems generally. On the contrary, different segmentation methods were proposed to address the different types of cells, which makes the research work divergent. In addition, most of the popular segmentation and quantification tools usually require a great part of manual work. To make the cell segmentation work more convergent, we propose a framework that is able to segment different kinds of cells automatically and robustly in this paper. This framework evolves the previously proposed method in segmenting the muscle cells and generalizes it to be suitable for segmenting and quantifying a variety of cell images by adding more union cases. Compared to the previous methods, the segmentation and quantification accuracy of the proposed framework is also improved by three novel procedures: (1) a simplified calibration method is proposed and added for the threshold selection process; (2) a noise blob filter is proposed to get rid of the noise blobs. (3) a boundary smoothing filter is proposed to reduce the false seeds produced by the iterative erosion. As it turned out, the quantification accuracy of the proposed framework increases from 93.4 to 96.8% compared to the previous method. In addition, the accuracy of the proposed framework is also better in quantifying the muscle cells than two available state-of-the-art methods. The proposed framework is able to automatically segment and quantify more types of cells than state-of-the-art methods.

  6. NOTE: Automated segmentation of pigmented skin lesions in multispectral imaging

    Science.gov (United States)

    Carrara, Mauro; Tomatis, Stefano; Bono, Aldo; Bartoli, Cesare; Moglia, Daniele; Lualdi, Manuela; Colombo, Ambrogio; Santinami, Mario; Marchesini, Renato

    2005-11-01

    The aim of this study was to develop an algorithm for the automatic segmentation of multispectral images of pigmented skin lesions. The study involved 1700 patients with 1856 cutaneous pigmented lesions, which were analysed in vivo by a novel spectrophotometric system, before excision. The system is able to acquire a set of 15 different multispectral images at equally spaced wavelengths between 483 and 951 nm. An original segmentation algorithm was developed and applied to the whole set of lesions and was able to automatically contour them all. The obtained lesion boundaries were shown to two expert clinicians, who, independently, rejected 54 of them. The 97.1% contour accuracy indicates that the developed algorithm could be a helpful and effective instrument for the automatic segmentation of skin pigmented lesions.

  7. Automated segmentation of pigmented skin lesions in multispectral imaging

    Energy Technology Data Exchange (ETDEWEB)

    Carrara, Mauro [Medical Physics Unit, Istituto Nazionale per lo Studio e la Cura dei Tumori, Milan (Italy); Tomatis, Stefano [Medical Physics Unit, Istituto Nazionale per lo Studio e la Cura dei Tumori, Milan (Italy); Bono, Aldo [Melanoma and Sarcoma Unit, Istituto Nazionale per lo Studio e la Cura dei Tumori, Milan (Italy); Bartoli, Cesare [Day surgery Unit, Istituto Nazionale per lo Studio e la Cura dei Tumori, Milan (Italy); Moglia, Daniele [Melanoma and Sarcoma Unit, Istituto Nazionale per lo Studio e la Cura dei Tumori, Milan (Italy); Lualdi, Manuela [Medical Physics Unit, Istituto Nazionale per lo Studio e la Cura dei Tumori, Milan (Italy); Colombo, Ambrogio [Medical Physics Unit, Istituto Nazionale per lo Studio e la Cura dei Tumori, Milan (Italy); Santinami, Mario [Melanoma and Sarcoma Unit, Istituto Nazionale per lo Studio e la Cura dei Tumori, Milan (Italy); Marchesini, Renato [Medical Physics Unit, Istituto Nazionale per lo Studio e la Cura dei Tumori, Milan (Italy)

    2005-11-21

    The aim of this study was to develop an algorithm for the automatic segmentation of multispectral images of pigmented skin lesions. The study involved 1700 patients with 1856 cutaneous pigmented lesions, which were analysed in vivo by a novel spectrophotometric system, before excision. The system is able to acquire a set of 15 different multispectral images at equally spaced wavelengths between 483 and 951 nm. An original segmentation algorithm was developed and applied to the whole set of lesions and was able to automatically contour them all. The obtained lesion boundaries were shown to two expert clinicians, who, independently, rejected 54 of them. The 97.1% contour accuracy indicates that the developed algorithm could be a helpful and effective instrument for the automatic segmentation of skin pigmented lesions. (note)

  8. Image segmentation by graph partitioning

    Science.gov (United States)

    Torres, Ana Sofia; Monteiro, Fernando C.

    2012-09-01

    In this paper we propose an hybrid method for the image segmentation which combines the edge-based, region-based and the morphological techniques in conjunction through the spectral based clustering approach. An initial partitioning of the image into atomic regions is set by applying a watershed method to the image gradient magnitude. This initial partition is the input to a computationally efficient region segmentation process which produces the final segmentation. We have applied our approach on several images of the Berkeley Segmentation Dataset. The results reveal the accuracy of the propose method.

  9. Automated medical image segmentation techniques

    Directory of Open Access Journals (Sweden)

    Sharma Neeraj

    2010-01-01

    Full Text Available Accurate segmentation of medical images is a key step in contouring during radiotherapy planning. Computed topography (CT and Magnetic resonance (MR imaging are the most widely used radiographic techniques in diagnosis, clinical studies and treatment planning. This review provides details of automated segmentation methods, specifically discussed in the context of CT and MR images. The motive is to discuss the problems encountered in segmentation of CT and MR images, and the relative merits and limitations of methods currently available for segmentation of medical images.

  10. ADVANCED CLUSTER BASED IMAGE SEGMENTATION

    Directory of Open Access Journals (Sweden)

    D. Kesavaraja

    2011-11-01

    Full Text Available This paper presents efficient and portable implementations of a useful image segmentation technique which makes use of the faster and a variant of the conventional connected components algorithm which we call parallel Components. In the Modern world majority of the doctors are need image segmentation as the service for various purposes and also they expect this system is run faster and secure. Usually Image segmentation Algorithms are not working faster. In spite of several ongoing researches in Conventional Segmentation and its Algorithms might not be able to run faster. So we propose a cluster computing environment for parallel image Segmentation to provide faster result. This paper is the real time implementation of Distributed Image Segmentation in Clustering of Nodes. We demonstrate the effectiveness and feasibility of our method on a set of Medical CT Scan Images. Our general framework is a single address space, distributed memory programming model. We use efficient techniques for distributing and coalescing data as well as efficient combinations of task and data parallelism. The image segmentation algorithm makes use of an efficient cluster process which uses a novel approach for parallel merging. Our experimental results are consistent with the theoretical analysis and practical results. It provides the faster execution time for segmentation, when compared with Conventional method. Our test data is different CT scan images from the Medical database. More efficient implementations of Image Segmentation will likely result in even faster execution times.

  11. MRI-Guided Target Motion Assessment using Dynamic Automatic Segmentation

    Science.gov (United States)

    Saenz, Daniel L.

    Motion significantly impacts the radiotherapy process and represents one of the persisting problems in treatment delivery. In order to improve motion management techniques and implement future image guided radiotherapy tools such as MRI-guidance, automatic segmentation algorithms hold great promise. Such algorithms are attractive due to their direct measurement accuracy, speed, and ability to assess motion trajectories for daily treatment plan modifications. We developed and optimized an automatic segmentation technique to enable target tracking using MR cines, 4D-MRI, and 4D-CT. This algorithm overcomes weaknesses in automatic contouring such as lack of image contrast, subjectivity, slow speed, and lack of differentiating feature vectors by the use of morphological processing. The software is enhanced with predictive parameter capabilities and dynamic processing. The 4D-MRI images are acquired by applying a retrospective phase binning approach to radially-acquired MR image projections. The quantification of motion is validated with a motor phantom undergoing a known trajectory in 4D-CT, 4D-MRI, and in MR cines from the ViewRay MR-Guided RT system. In addition, a clinical case study demonstrates wide-reaching implications of the software to segment lesions in the brain and lung as well as critical structures such as the liver. Auto-segmentation results from MR cines of canines correlate well with manually drawn contours, both in terms of Dice similarity coefficient and agreement of extracted motion trajectories.

  12. MRI FLAIR lesion segmentation in multiple sclerosis: Does automated segmentation hold up with manual annotation?

    Science.gov (United States)

    Egger, Christine; Opfer, Roland; Wang, Chenyu; Kepp, Timo; Sormani, Maria Pia; Spies, Lothar; Barnett, Michael; Schippling, Sven

    2017-01-01

    Magnetic resonance imaging (MRI) has become key in the diagnosis and disease monitoring of patients with multiple sclerosis (MS). Both, T2 lesion load and Gadolinium (Gd) enhancing T1 lesions represent important endpoints in MS clinical trials by serving as a surrogate of clinical disease activity. T2- and fluid-attenuated inversion recovery (FLAIR) lesion quantification - largely due to methodological constraints - is still being performed manually or in a semi-automated fashion, although strong efforts have been made to allow automated quantitative lesion segmentation. In 2012, Schmidt and co-workers published an algorithm to be applied on FLAIR sequences. The aim of this study was to apply the Schmidt algorithm on an independent data set and compare automated segmentation to inter-rater variability of three independent, experienced raters. MRI data of 50 patients with RRMS were randomly selected from a larger pool of MS patients attending the MS Clinic at the Brain and Mind Centre, University of Sydney, Australia. MRIs were acquired on a 3.0T GE scanner (Discovery MR750, GE Medical Systems, Milwaukee, WI) using an 8 channel head coil. We determined T2-lesion load (total lesion volume and total lesion number) using three versions of an automated segmentation algorithm (Lesion growth algorithm (LGA) based on SPM8 or SPM12 and lesion prediction algorithm (LPA) based on SPM12) as first described by Schmidt et al. (2012). Additionally, manual segmentation was performed by three independent raters. We calculated inter-rater correlation coefficients (ICC) and dice coefficients (DC) for all possible pairwise comparisons. We found a strong correlation between manual and automated lesion segmentation based on LGA SPM8, regarding lesion volume (ICC = 0.958 and DC = 0.60) that was not statistically different from the inter-rater correlation (ICC = 0.97 and DC = 0.66). Correlation between the two other algorithms (LGA SPM12 and LPA SPM12) and manual raters was weaker

  13. 17 CFR 210.8-06 - Real estate operations acquired or to be acquired.

    Science.gov (United States)

    2010-04-01

    ... 17 Commodity and Securities Exchanges 2 2010-04-01 2010-04-01 false Real estate operations acquired or to be acquired. 210.8-06 Section 210.8-06 Commodity and Securities Exchanges SECURITIES AND... Statements of Smaller Reporting Companies § 210.8-06 Real estate operations acquired or to be acquired. If...

  14. Multi-scale oil slicks segmentation; Segmentation multiechelle de nappes d'hydrocarbure

    Energy Technology Data Exchange (ETDEWEB)

    Mercier, G. [Ecole Nationals Superieurs des Telecommunications de Bretagne (GET/ENST), CNRS FRE 2658, TAMCIC, Equipe TIME, 29 - Brest (France); Derrode, St. [Ecole Generaliste d' Ingenieurs a Marseille (EGIM), Groupe GSM, CNRS UMR 6133, Institut Fresnel, 13 - Marseille (France); Pieczynski, W. [Institut National des Telecommunications (GET/NT), Dept. CITI, CNRS UMR 5157, 91 - Evry (France)

    2004-07-01

    This study focuses on the segmentation and characterization of oil slicks from Synthetic Aperture Radar (SAR) data, Viscosity notably reduces the roughness of the sea surface which takes a major part in the backscattering. Hence, an oil slick is characterized by a low-backscattered energy and appears as a dark area in images. This is the reason why most of detection algorithms are based on histogram threshold, but they appear not satisfactory as the number of false alarms is generally high. Since oil slicks have specific impact on ocean wave spectra (from gravity-capillary waves to the swell), we propose to use a Markovian model adapted to a multi-scale description of the original image. This unsupervised segmentation method allows to take into account the different states of the sea surface through its spectra. Thanks to the mixture estimation, it is possible to statistically characterize the detected areas and then to prevent from most of false alarms. Results of segmentation are shown with two types of scenarios. The first one concerns oil spill in the Mediterranean sea detected by the ERS SAR sensor at a resolution of 25 m. The second scenario is related to the Prestige's wreck acquired by the Envisat ASAR sensor in a wide swath mode at a resolution of 150 m. (authors)

  15. The UAS control segment architecture: an overview

    Science.gov (United States)

    Gregory, Douglas A.; Batavia, Parag; Coats, Mark; Allport, Chris; Jennings, Ann; Ernst, Richard

    2013-05-01

    The Under Secretary of Defense (Acquisition, Technology and Logistics) directed the Services in 2009 to jointly develop and demonstrate a common architecture for command and control of Department of Defense (DoD) Unmanned Aircraft Systems (UAS) Groups 2 through 5. The UAS Control Segment (UCS) Architecture is an architecture framework for specifying and designing the softwareintensive capabilities of current and emerging UCS systems in the DoD inventory. The UCS Architecture is based on Service Oriented Architecture (SOA) principles that will be adopted by each of the Services as a common basis for acquiring, integrating, and extending the capabilities of the UAS Control Segment. The UAS Task Force established the UCS Working Group to develop and support the UCS Architecture. The Working Group currently has over three hundred members, and is open to qualified representatives from DoD-approved defense contractors, academia, and the Government. The UCS Architecture is currently at Release 2.2, with Release 3.0 planned for July 2013. This paper discusses the current and planned elements of the UCS Architecture, and related activities of the UCS Community of Interest.

  16. IFRS 8 – OPERATING SEGMENTS

    Directory of Open Access Journals (Sweden)

    BOCHIS LEONICA

    2009-05-01

    Full Text Available Segment reporting in accordance with IFRS 8 will be mandatory for annual financial statements covering periods beginning on or after 1 January 2009. The standards replaces IAS 14, Segment Reporting, from that date. The objective of IFRS 8 is to require

  17. Segmental neurofibromatosis [NF type - v].

    Science.gov (United States)

    Arfan-ul-Bari; Simeen-ber-Rahman

    2003-12-01

    Segmental neurofibromatosis is a rare variant of neurofibromatosis in which skin lesions are confined to a circumscribed body segment. A case of a 39-year-old man with this condition is presented, who was having multiple soft skin tumours over a localized area of back with no associated cafe au lait spots, axillary freckles or lish nodules. Histology confirmed the diagnosis of neurofibroma.

  18. Market Segmentation: An Instructional Module.

    Science.gov (United States)

    Wright, Peter H.

    A concept-based introduction to market segmentation is provided in this instructional module for undergraduate and graduate transportation-related courses. The material can be used in many disciplines including engineering, business, marketing, and technology. The concept of market segmentation is primarily a transportation planning technique by…

  19. Adaptive segmentation for scientific databases

    NARCIS (Netherlands)

    Ivanova, M.; Kersten, M.L.; Nes, N.

    2008-01-01

    In this paper we explore database segmentation in the context of a column-store DBMS targeted at a scientific database. We present a novel hardware- and scheme-oblivious segmentation algorithm, which learns and adapts to the workload immediately. The approach taken is to capitalize on (intermediate)

  20. Region segmentation along image sequence

    Energy Technology Data Exchange (ETDEWEB)

    Monchal, L.; Aubry, P.

    1995-12-31

    A method to extract regions in sequence of images is proposed. Regions are not matched from one image to the following one. The result of a region segmentation is used as an initialization to segment the following and image to track the region along the sequence. The image sequence is exploited as a spatio-temporal event. (authors). 12 refs., 8 figs.

  1. Market segmentation using perceived constraints

    Science.gov (United States)

    Jinhee Jun; Gerard Kyle; Andrew Mowen

    2008-01-01

    We examined the practical utility of segmenting potential visitors to Cleveland Metroparks using their constraint profiles. Our analysis identified three segments based on their scores on the dimensions of constraints: Other priorities--visitors who scored the highest on 'other priorities' dimension; Highly Constrained--visitors who scored relatively high on...

  2. Using Predictability for Lexical Segmentation

    Science.gov (United States)

    Çöltekin, Çagri

    2017-01-01

    This study investigates a strategy based on predictability of consecutive sub-lexical units in learning to segment a continuous speech stream into lexical units using computational modeling and simulations. Lexical segmentation is one of the early challenges during language acquisition, and it has been studied extensively through psycholinguistic…

  3. IFRS 8 – OPERATING SEGMENTS

    OpenAIRE

    BOCHIS LEONICA; Sucala Lucia; DUMBRAVA PARTENIE; BREBAN LUDOVICA

    2009-01-01

    Segment reporting in accordance with IFRS 8 will be mandatory for annual financial statements covering periods beginning on or after 1 January 2009. The standards replaces IAS 14, Segment Reporting, from that date. The objective of IFRS 8 is to require

  4. The Importance of Marketing Segmentation

    Science.gov (United States)

    Martin, Gillian

    2011-01-01

    The rationale behind marketing segmentation is to allow businesses to focus on their consumers' behaviors and purchasing patterns. If done effectively, marketing segmentation allows an organization to achieve its highest return on investment (ROI) in turn for its marketing and sales expenses. If an organization markets its products or services to…

  5. Essays in international market segmentation

    NARCIS (Netherlands)

    Hofstede, ter F.

    1999-01-01

    The primary objective of this thesis is to develop and validate new methodologies to improve the effectiveness of international segmentation strategies. The current status of international market segmentation research is reviewed in an introductory chapter, which provided a number of

  6. Intestinal, segmented, filamentous bacteria.

    Science.gov (United States)

    Klaasen, H L; Koopman, J P; Poelma, F G; Beynen, A C

    1992-06-01

    Segmented, filamentous bacteria (SFBs) are autochthonous, apathogenic bacteria, occurring in the ileum of mice and rats. Although the application of formal taxonomic criteria is impossible due to the lack of an in vitro technique to culture SFBs, microbes with a similar morphology, found in the intestine of a wide range of vertebrate and invertebrate host species, are considered to be related. SFBs are firmly attached to the epithelial cells of the distal ileal mucosa, their preferential ecological niche being the epithelium covering the Peyer's patches. Electron microscopic studies have demonstrated a considerable morphological diversity of SFBs, which may relate to different stages of a life cycle. Determinants of SFB colonization in vivo are host species, genotypical and phenotypical characteristics of the host, diet composition, environmental stress and antimicrobial drugs. SFBs can survive in vitro incubation, but do not multiply. On the basis of their apathogenic character and intimate relationship with the host, it is suggested that SFBs contribute to development and/or maintenance of host resistance to enteropathogens.

  7. [Orbitotemporal segmental neurofibromatosis].

    Science.gov (United States)

    Montard, R; Putz, C; Barrali, M; Kantelip, B; Montard, M

    2007-11-01

    Neurofibromatosis is a rare pathology with heterogeneous clinical presentation. We report a case of a right orbitotemporal plexiform neurofibroma in a 64-year-old woman with von Recklinghausen's neurofibromatosis. A craniofacial CT scan, with injection, showed a heterogeneous tumor in front of the skull base and the temporoparietal bone with no intracranial extension but an extension into the maxillary sinus and nasal cavity. In summery, she presented orbitotemporal segmental neurofibromatosis type 1 because of the unilateral lesion. She had a first surgery to remove her jugal and preauricular tumor with an exenteration, which provided an eye histology. The histology found no Lisch nodules but a cellular proliferation causing choroidal hyperplasia. We noted neurofibromin on choroidal cells and normal cells in addition to pathologic cells (Schwann cells and melanocytes), meaning that two cell populations were obtained in the same tissue: a somatic mosaicism. We advance the hypothesis that there was a regulation of cellular growth in a particular microenvironment because of the absence of tumor. To identify and confirm the somatic mosaicism, we would need a FISH analysis (probes containing sequences of the NF1 gene with a probe specific for the chromosome 17 centromere).

  8. 3D segmentation of the left ventricle combining long- and short-axis MR images.

    Science.gov (United States)

    Säring, D; Relan, J; Groth, M; Müllerleile, K; Handels, H

    2009-01-01

    Segmentation of the left ventricle (LV) is required to quantify LV remodeling after myocardial infarction. Therefore spatiotemporal cine MR sequences including long-axis and short-axis images are acquired. In this paper a new segmentation method for fast and robust segmentation of the left ventricle is presented. The new approach considers the position of the mitral valve and the apex as well as the long-axis contours to generate a 3D LV surface model. The segmentation result can be checked and adjusted in the short-axis images. Finally quantitative parameters were extracted. For evaluation the LV was segmented in eight datasets of the same subject by two medical experts using a contour drawing tool and the new segmentation tool. The results of both methods were compared concerning interaction time and intra- and inter-observer variance. The presented segmentation method proved to be fast. The mean difference and standard deviation of all parameters are decreased. In case of intra-observer comparison e.g. the mean ESV difference is reduced from 8.8% to 0.5%. A semi-automatic LV segmentation method has been developed that combines long- and short-axis views. Using the presented approach the intra- and interobserver difference as well as the time for the segmentation process are decreased. So the semi-automatic segmentation using long- and short-axis information proved to be fast and robust for the quantification of LV mass and volume properties.

  9. Subcortical brain segmentation of two dimensional T1-weighted data sets with FMRIB's Integrated Registration and Segmentation Tool (FIRST

    Directory of Open Access Journals (Sweden)

    Michael Amann

    2015-01-01

    Full Text Available Brain atrophy has been identified as an important contributing factor to the development of disability in multiple sclerosis (MS. In this respect, more and more interest is focussing on the role of deep grey matter (DGM areas. Novel data analysis pipelines are available for the automatic segmentation of DGM using three-dimensional (3D MRI data. However, in clinical trials, often no such high-resolution data are acquired and hence no conclusions regarding the impact of new treatments on DGM atrophy were possible so far. In this work, we used FMRIB's Integrated Registration and Segmentation Tool (FIRST to evaluate the possibility of segmenting DGM structures using standard two-dimensional (2D T1-weighted MRI. In a cohort of 70 MS patients, both 2D and 3D T1-weighted data were acquired. The thalamus, putamen, pallidum, nucleus accumbens, and caudate nucleus were bilaterally segmented using FIRST. Volumes were calculated for each structure and for the sum of basal ganglia (BG as well as for the total DGM. The accuracy and reliability of the 2D data segmentation were compared with the respective results of 3D segmentations using volume difference, volume overlap and intra-class correlation coefficients (ICCs. The mean differences for the individual substructures were between 1.3% (putamen and −25.2% (nucleus accumbens. The respective values for the BG were −2.7% and for DGM 1.3%. Mean volume overlap was between 89.1% (thalamus and 61.5% (nucleus accumbens; BG: 84.1%; DGM: 86.3%. Regarding ICC, all structures showed good agreement with the exception of the nucleus accumbens. The results of the segmentation were additionally validated through expert manual delineation of the caudate nucleus and putamen in a subset of the 3D data. In conclusion, we demonstrate that subcortical segmentation of 2D data are feasible using FIRST. The larger subcortical GM structures can be segmented with high consistency. This forms the basis for the application of

  10. Satellite Image Classification and Segmentation by Using JSEG Segmentation Algorithm

    OpenAIRE

    Khamael Abbas; Mustafa Rydh

    2012-01-01

    In this paper, a adopted approach to fully automatic satellite image segmentation, called JSEG, "JPEG image segmentation" is presented. First colors in the image are quantized to represent differentiate regions in the image. Then image pixel colors are replaced by their corresponding color class labels, thus forming a class-map of the image. A criterion for “good” segmentation using this class-map is proposed. Applying the criterion to local windows in the class-map results in the “J-image”...

  11. Stochastic Modelling as a Tool for Seismic Signals Segmentation

    Directory of Open Access Journals (Sweden)

    Daniel Kucharczyk

    2016-01-01

    Full Text Available In order to model nonstationary real-world processes one can find appropriate theoretical model with properties following the analyzed data. However in this case many trajectories of the analyzed process are required. Alternatively, one can extract parts of the signal that have homogenous structure via segmentation. The proper segmentation can lead to extraction of important features of analyzed phenomena that cannot be described without the segmentation. There is no one universal method that can be applied for all of the phenomena; thus novel methods should be invented for specific cases. They might address specific character of the signal in different domains (time, frequency, time-frequency, etc.. In this paper we propose two novel segmentation methods that take under consideration the stochastic properties of the analyzed signals in time domain. Our research is motivated by the analysis of vibration signals acquired in an underground mine. In such signals we observe seismic events which appear after the mining activity, like blasting, provoked relaxation of rock, and some unexpected events, like natural rock burst. The proposed segmentation procedures allow for extraction of such parts of the analyzed signals which are related to mentioned events.

  12. Acquired Inventors’ Productivity after Horizontal Acquisition

    DEFF Research Database (Denmark)

    Colombo, Massimo G.; Moreira, Solon; Rabbiosi, Larissa

    Effective integration of the R&D functions of the acquired and acquiring firms is essential for knowledge recombination after acquisition. However, prior research suggests that the post-acquisition integration process often damages the inventive labor force. We argue that an examination of the mu......Effective integration of the R&D functions of the acquired and acquiring firms is essential for knowledge recombination after acquisition. However, prior research suggests that the post-acquisition integration process often damages the inventive labor force. We argue that an examination...

  13. Acquired Dyslexia and Dysgraphia in Chinese

    Science.gov (United States)

    Yin, Wengang; He, Shengxi; Weekes, Brendan Stuart

    2005-01-01

    Understanding how the mappings between orthography and phonology in alphabetic languages are learned, represented and processed has been enhanced by the cognitive neuropsychological investigation of patients with acquired reading and writing disorders. During the past decade, this methodology has been extended to understanding reading and writing in Chinese leading to new insights about language processing, dyslexia and dysgraphia. The aim of this paper is to review reports of patients who have acquired dyslexia and acquired dysgraphia in Chinese and describe the functional architecture of the reading and writing system. Our conclusion is that the unique features of Chinese script will determine the symptoms of acquired dyslexia and dysgraphia in Chinese. PMID:16410631

  14. Acquired Dyslexia and Dysgraphia in Chinese

    Directory of Open Access Journals (Sweden)

    Wengang Yin

    2005-01-01

    Full Text Available Understanding how the mappings between orthography and phonology in alphabetic languages are learned, represented and processed has been enhanced by the cognitive neuropsychological investigation of patients with acquired reading and writing disorders. During the past decade, this methodology has been extended to understanding reading and writing in Chinese leading to new insights about language processing, dyslexia and dysgraphia. The aim of this paper is to review reports of patients who have acquired dyslexia and acquired dysgraphia in Chinese and describe the functional architecture of the reading and writing system. Our conclusion is that the unique features of Chinese script will determine the symptoms of acquired dyslexia and dysgraphia in Chinese.

  15. Sometimes spelling is easier than phonemic segmentation

    NARCIS (Netherlands)

    Bon, W.H.J. van; Duighuisen, H.C.M.

    1995-01-01

    Poor spellers from the Netherlands segmented and spelled the same words on different occasions. If they base their spellings on the segmentations that they produce in the segmentation task, the correlation between segmentation and spelling scores should be high, and segmentation should not be more

  16. Determination of the impact of RGB points cloud attribute quality on color-based segmentation process

    Directory of Open Access Journals (Sweden)

    Bartłomiej Kraszewski

    2015-06-01

    Full Text Available The article presents the results of research on the effect that radiometric quality of point cloud RGB attributes have on color-based segmentation. In the research, a point cloud with a resolution of 5 mm, received from FAROARO Photon 120 scanner, described the fragment of an office’s room and color images were taken by various digital cameras. The images were acquired by SLR Nikon D3X, and SLR Canon D200 integrated with the laser scanner, compact camera Panasonic TZ-30 and a mobile phone digital camera. Color information from images was spatially related to point cloud in FAROARO Scene software. The color-based segmentation of testing data was performed with the use of a developed application named “RGB Segmentation”. The application was based on public Point Cloud Libraries (PCL and allowed to extract subsets of points fulfilling the criteria of segmentation from the source point cloud using region growing method.Using the developed application, the segmentation of four tested point clouds containing different RGB attributes from various images was performed. Evaluation of segmentation process was performed based on comparison of segments acquired using the developed application and extracted manually by an operator. The following items were compared: the number of obtained segments, the number of correctly identified objects and the correctness of segmentation process. The best correctness of segmentation and most identified objects were obtained using the data with RGB attribute from Nikon D3X images. Based on the results it was found that quality of RGB attributes of point cloud had impact only on the number of identified objects. In case of correctness of the segmentation, as well as its error no apparent relationship between the quality of color information and the result of the process was found.[b]Keywords[/b]: terrestrial laser scanning, color-based segmentation, RGB attribute, region growing method, digital images, points cloud

  17. 用戶著作權侵權之網路服務業者責任 Internet Service Provider Liability for Subscriber Copyright Infrigement

    Directory of Open Access Journals (Sweden)

    蔡蕙芳 Hui-Fang Tsai

    2004-12-01

    Full Text Available 網路服務業者的責任可說是網路上最具爭議的問題。本文的目的在於從一般性原則上討論用戶涉及著作權侵權時,網路服務業者是否可能成立民事侵權與刑事犯罪責任。個案的深入討論並不在本文範圍內。本文首先介紹美國侵權法上網路服務業者責任,內容包括法院判決、學說見解與國會立法。其次,本文將從刑法理論來分析用戶成立直接正犯之同時,網路服務業者可能構成共同正犯、正犯後正犯或共犯。此外,也將分別檢討正犯與共犯之成立要件。最後,本文將檢討我國法上相關法律如何適用以解決網路服務 業者責任,並提出增訂網路服務業者責任規定之建議。 The liability of internet service provider (ISP is perhaps the most controversial legal issue to emerge from cyberspace. The purpose of this paper is to explore the general principles as to whether there should be civil and criminal liability for ISP concerning subscriber copyright infringement. An in-depth treatment of case study is beyond the scope of this paper. The first section provides an overview of the doctrine of ISP copyright infringement liability in America, followed by the introduction of judicial decisions, opinions of scholars and new legislation. Focusing on criminal liability that could be imposed upon ISP for copyright infringement initiated by subscribers, the second section seeks to illustrate the observation that the individuals who post copyright infringement materials act as principals in the first degree, and ISP would qualify as an accomplice, principal in the second degree, or accessory to the crimes. Furthermore, this section discusses in turn the qualifications for the perpetrators and accomplices. Finally, the third section reviews the current Taiwan tort and criminal law and its application to ISP and concludes that the Taiwan copyright law should make specific provision for

  18. Direct volume estimation without segmentation

    Science.gov (United States)

    Zhen, X.; Wang, Z.; Islam, A.; Bhaduri, M.; Chan, I.; Li, S.

    2015-03-01

    Volume estimation plays an important role in clinical diagnosis. For example, cardiac ventricular volumes including left ventricle (LV) and right ventricle (RV) are important clinical indicators of cardiac functions. Accurate and automatic estimation of the ventricular volumes is essential to the assessment of cardiac functions and diagnosis of heart diseases. Conventional methods are dependent on an intermediate segmentation step which is obtained either manually or automatically. However, manual segmentation is extremely time-consuming, subjective and highly non-reproducible; automatic segmentation is still challenging, computationally expensive, and completely unsolved for the RV. Towards accurate and efficient direct volume estimation, our group has been researching on learning based methods without segmentation by leveraging state-of-the-art machine learning techniques. Our direct estimation methods remove the accessional step of segmentation and can naturally deal with various volume estimation tasks. Moreover, they are extremely flexible to be used for volume estimation of either joint bi-ventricles (LV and RV) or individual LV/RV. We comparatively study the performance of direct methods on cardiac ventricular volume estimation by comparing with segmentation based methods. Experimental results show that direct estimation methods provide more accurate estimation of cardiac ventricular volumes than segmentation based methods. This indicates that direct estimation methods not only provide a convenient and mature clinical tool for cardiac volume estimation but also enables diagnosis of cardiac diseases to be conducted in a more efficient and reliable way.

  19. Position sensors for segmented mirror

    Science.gov (United States)

    Rozière, Didier; Buous, Sébastien; Courteville, Alain

    2004-09-01

    There are currently several projects for giant telescopes with segmented mirrors under way. These future telescopes will have their primary mirror made of several thousand segments. The main advantage of segmentation is that it enables the active control of the whole mirror, so as to suppress the deformations of the support structure due to the wind, gravity, thermal inhomogeneities etc. ..., thus getting the best possible stigmatism. However, providing active control of segmented mirrors requires numerous accurate edges sensors. It is acknowledged that capacitance-based technology nowadays offers the best metrological performances-to-cost ratio. As the leader in capacitive technology, FOGALE nanotech offers an original concept which reduces the cost of instrumentation, sensors and electronics, while keeping a very high level of performances with a manufacturing process completely industrialised. We present here the sensors developed for the Segment Alignment Measurement System (SAMS) of the Southern African Large Telescope (SALT). This patented solution represents an important improvement in terms of cost, to market the Position Sensors for Segmented Mirrors of ELTs, whilst maintaining a very high performance level. We present here the concept, the laboratory qualification, and the first trials on the 7 central segments of SALT. The laboratory results are good, and we are now working on the on-site implementation to improve the immunity of the sensors to environment.

  20. Evaluation of a segmentation algorithm designed for an FPGA implementation

    Science.gov (United States)

    Schwenk, Kurt; Schönermark, Maria; Huber, Felix

    2013-10-01

    The present work has to be seen in the context of real-time on-board image evaluation of optical satellite data. With on board image evaluation more useful data can be acquired, the time to get requested information can be decreased and new real-time applications are possible. Because of the relative high processing power in comparison to the low power consumption, Field Programmable Gate Array (FPGA) technology has been chosen as an adequate hardware platform for image processing tasks. One fundamental part for image evaluation is image segmentation. It is a basic tool to extract spatial image information which is very important for many applications such as object detection. Therefore a special segmentation algorithm using the advantages of FPGA technology has been developed. The aim of this work is the evaluation of this algorithm. Segmentation evaluation is a difficult task. The most common way for evaluating the performance of a segmentation method is still subjective evaluation, in which human experts determine the quality of a segmentation. This way is not in compliance with our needs. The evaluation process has to provide a reasonable quality assessment, should be objective, easy to interpret and simple to execute. To reach these requirements a so called Segmentation Accuracy Equality norm (SA EQ) was created, which compares the difference of two segmentation results. It can be shown that this norm is capable as a first quality measurement. Due to its objectivity and simplicity the algorithm has been tested on a specially chosen synthetic test model. In this work the most important results of the quality assessment will be presented.

  1. Body Segment Kinematics and Energy Expenditure in Active Videogames.

    Science.gov (United States)

    Böhm, Birgit; Hartmann, Michael; Böhm, Harald

    2016-06-01

    Energy expenditure (EE) in active videogames (AVGs) is a component for assessing its benefit for cardiovascular health. Existing evidence suggests that AVGs are able to increase EE above rest and when compared with playing passive videogames. However, the association between body movement and EE remains unclear. Furthermore, for goal-directed game design, it is important to know the contribution of body segments to EE. This knowledge will help to acquire a certain level of exercise intensity during active gaming. Therefore, the purpose of this study was to determine the best predictors of EE from body segment energies, acceleration, and heart rate during different game situations. EE and body segment movement of 17 subjects, aged 22.1 ± 2.5 years, were measured in two different AVGs. In randomized order, the subjects played a handheld-controlled Nintendo(®) Wii™ tennis (NWT) game and a whole body-controlled Sony EyeToy(®) waterfall (ETW) game. Body segment movement was analyzed using a three-dimensional motion capture system. From the video data, mean values of mechanical energy change and acceleration of 10 body segments were analyzed. Measured EE was significantly higher in ETW (7.8 ± 1.4 metabolic equivalents [METs]) than in NWT (3.4 ± 1.0 METs). The best prediction parameter for the more intense ETW game was the energy change of the right thigh and for the less intense hand-controlled NWT game was the energy change of the upper torso. Segment acceleration was less accurate in predicting EE. The best predictors of metabolic EE were the thighs and the upper torso in whole body and handheld-controlled games, respectively. Increasing movement of these body segments would lead to higher physical activity intensity during gaming, reducing sedentary behavior.

  2. Segments and segmental properties in cross-language perception: Korean perception of English obstruents in various prosodic locations

    Science.gov (United States)

    de Jong, Kenneth; Silbert, Noah; Park, Hanyong

    2004-05-01

    Experimental models of cross-language perception and second-language acquisition (such as PAM and SLM) typically treat language differences in terms of whether the two languages share phonological segmental categories. Linguistic models, by contrast, generally examine properties which cross classify segments, such as features, rules, or prosodic constraints. Such models predict that perceptual patterns found for one segment will generalize to other segments of the same class. This paper presents perceptual identifications of Korean listeners to a set of voiced and voiceless English stops and fricatives in various prosodic locations to determine the extent to which such generality occurs. Results show some class-general effects; for example, voicing identification patterns generalize from stops, which occur in Korean, to nonsibilant fricatives, which are new to Korean listeners. However, when identification is poor, there are clear differences between segments within the same class. For example, in identifying stops and fricatives, both point of articulation and prosodic position bias perceptions; coronals are more often labeled fricatives, and syllable initial obstruents are more often labeled stops. These results suggest that class-general perceptual patterns are not a simple consequence of the structure of the perceptual system, but need to be acquired by factoring out within-class differences.

  3. Multiple Segmentation of Image Stacks

    DEFF Research Database (Denmark)

    Smets, Jonathan; Jaeger, Manfred

    2014-01-01

    We propose a method for the simultaneous construction of multiple image segmentations by combining a recently proposed “convolution of mixtures of Gaussians” model with a multi-layer hidden Markov random field structure. The resulting method constructs for a single image several, alternative...... segmentations that capture different structural elements of the image. We also apply the method to collections of images with identical pixel dimensions, which we call image stacks. Here it turns out that the method is able to both identify groups of similar images in the stack, and to provide segmentations...

  4. Metrology of IXO Mirror Segments

    Science.gov (United States)

    Chan, Kai-Wing

    2011-01-01

    For future x-ray astrophysics mission that demands optics with large throughput and excellent angular resolution, many telescope concepts build around assembling thin mirror segments in a Wolter I geometry, such as that originally proposed for the International X-ray Observatory. The arc-second resolution requirement posts unique challenges not just for fabrication, mounting but also for metrology of these mirror segments. In this paper, we shall discuss the metrology of these segments using normal incidence metrological method with interferometers and null lenses. We present results of the calibration of the metrology systems we are currently using, discuss their accuracy and address the precision in measuring near-cylindrical mirror segments and the stability of the measurements.

  5. Learning across languages: bilingual experience supports dual language statistical word segmentation.

    Science.gov (United States)

    Antovich, Dylan M; Graf Estes, Katharine

    2017-02-03

    Bilingual acquisition presents learning challenges beyond those found in monolingual environments, including the need to segment speech in two languages. Infants may use statistical cues, such as syllable-level transitional probabilities, to segment words from fluent speech. In the present study we assessed monolingual and bilingual 14-month-olds' abilities to segment two artificial languages using transitional probability cues. In Experiment 1, monolingual infants successfully segmented the speech streams when the languages were presented individually. However, monolinguals did not segment the same language stimuli when they were presented together in interleaved segments, mimicking the language switches inherent to bilingual speech. To assess the effect of real-world bilingual experience on dual language speech segmentation, Experiment 2 tested infants with regular exposure to two languages using the same interleaved language stimuli as Experiment 1. The bilingual infants in Experiment 2 successfully segmented the languages, indicating that early exposure to two languages supports infants' abilities to segment dual language speech using transitional probability cues. These findings support the notion that early bilingual exposure prepares infants to navigate challenging aspects of dual language environments as they begin to acquire two languages. © 2017 John Wiley & Sons Ltd.

  6. Verizon acquired Vodafone: Analysis of market reaction

    Directory of Open Access Journals (Sweden)

    Singh Pal Netra

    2014-01-01

    Full Text Available The recent big tickets in telecom industry include Microsoft acquiring part of Nokia for US$ 7.2 billion, Verizon buying 45% stake in Vodafone for US$130 billion, Google acquiring Motorola for 12.5 billion, and Lenovo acquiring Motorola mobility from Google for US$ 3 billion. These buyouts are analyzed and commented by experts of the industry. This research paper is an attempt to analyze and collate their views with respect to Verizon and Vodafone deal. The analysis includes reasons for buyout, size of the deal, general comments in the media, what is in the deal for Verizon and Vodafone, impact on the eco-system, etc.

  7. Acquired factor VIII inhibitor (acquired hemophilia A) presenting as spontaneous blood-filled scrotum.

    Science.gov (United States)

    Verma, Rajanshu; Noack, Jill; Vemuri, Radhakrishna; Loehrke, Mark E

    2011-05-01

    Acquired hemophilia A, also known as acquired factor VIII deficiency, is an exceedingly rare bleeding diathesis that does not require any personal or family history of bleeding or clotting disorder. Because treatment is available, misdiagnosing or completely missing this diagnosis can be life threatening for patients. Clinicians should be aware that acquired forms of hemophilia do exist and are associated with high morbidity and mortality in elderly adults. We present a case of a 74-year-old man who was diagnosed with acquired factor VIII inhibitor during an admission for community-acquired pneumonia.

  8. Segmented Capacitance Sensor with Partially Released Inactive Segments

    Directory of Open Access Journals (Sweden)

    Lev Jakub

    2015-09-01

    Full Text Available Material throughput measurement is important for many applications, for example yield maps creation or control of mass flow in stationary lines. Quite perspective can be the capacitive throughput method. Segmented capacitance sensor (SCS is discussed in this paper. SCS is a compromise between simple capacitive throughput sensors and electrical capacitance tomography sensors. The SCS variant with partially released inactive segments is presented. The mathematical model of SCS was created and verified by measurements. A good correspondence between measured and computed values was found and it can be stated that the proposed mathematical model was verified. During measurement the voltage values on the inactive segments were monitored as well. On the basis of the measurement there was found that these values are significantly influenced by material distribution.

  9. Methods of evaluating segmentation characteristics and segmentation of major faults

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Kie Hwa; Chang, Tae Woo; Kyung, Jai Bok [Seoul National Univ., Seoul (Korea, Republic of)] (and others)

    2000-03-15

    Seismological, geological, and geophysical studies were made for reasonable segmentation of the Ulsan fault and the results are as follows. One- and two- dimensional electrical surveys revealed clearly the fault fracture zone enlarges systematically northward and southward from the vicinity of Mohwa-ri, indicating Mohwa-ri is at the seismic segment boundary. Field Geological survey and microscope observation of fault gouge indicates that the Quaternary faults in the area are reactivated products of the preexisting faults. Trench survey of the Chonbuk fault Galgok-ri revealed thrust faults and cumulative vertical displacement due to faulting during the late Quaternary with about 1.1-1.9 m displacement per event; the latest event occurred from 14000 to 25000 yrs. BP. The seismic survey showed the basement surface os cut by numerous reverse faults and indicated the possibility that the boundary between Kyeongsangbukdo and Kyeongsannamdo may be segment boundary.

  10. Segmentation Scheme for Safety Enhancement of Engineered Safety Features Component Control System

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Sangseok; Sohn, Kwangyoung [Korea Reliability Technology and System, Daejeon (Korea, Republic of); Lee, Junku; Park, Geunok [Korea Atomic Energy Research Institute, Daejeon (Korea, Republic of)

    2013-05-15

    Common Caused Failure (CCF) or undetectable failure would adversely impact safety functions of ESF-CCS in the existing nuclear power plants. We propose the segmentation scheme to solve these problems. Main function assignment to segments in the proposed segmentation scheme is based on functional dependency and critical function success path by using the dependency depth matrix. The segment has functional independence and physical isolation. The segmentation structure is that prohibit failure propagation to others from undetectable failures. Therefore, the segmentation system structure has robustness to undetectable failures. The segmentation system structure has functional diversity. The specific function in the segment defected by CCF, the specific function could be maintained by diverse control function that assigned to other segments. Device level control signals and system level control signals are separated and also control signal and status signals are separated due to signal transmission paths are allocated independently based on signal type. In this kind of design, single device failure or failures on signal path in the channel couldn't result in the loss of all segmented functions simultaneously. Thus the proposed segmentation function is the design scheme that improves availability of safety functions. In conventional ESF-CCS, the single controller generates the signal to control the multiple safety functions, and the reliability is achieved by multiplication within the channel. This design has a drawback causing the loss of multiple functions due to the CCF (Common Cause Failure) and single failure Heterogeneous controller guarantees the diversity ensuring the execution of safety functions against the CCF and single failure, but requiring a lot of resources like manpower and cost. The segmentation technology based on the compartmentalization and functional diversification decreases the CCF and single failure nonetheless the identical types of

  11. Layer stacking: A novel algorithm for individual forest tree segmentation from LiDAR point clouds

    Science.gov (United States)

    Elias Ayrey; Shawn Fraver; John A. Kershaw; Laura S. Kenefic; Daniel Hayes; Aaron R. Weiskittel; Brian E. Roth

    2017-01-01

    As light detection and ranging (LiDAR) technology advances, it has become common for datasets to be acquired at a point density high enough to capture structural information from individual trees. To process these data, an automatic method of isolating individual trees from a LiDAR point cloud is required. Traditional methods for segmenting trees attempt to isolate...

  12. Novelty detection-based internal fingerprint segmentation in optical coherence tomography images

    CSIR Research Space (South Africa)

    Khutlang, Rethabile

    2017-08-01

    Full Text Available present an automatic segmentation of the papillary layer method, from images acquired using contact-less 3-D swept source optical coherence tomography (OCT). The papillary contour represents the internal fingerprint, which does not suffer from the external...

  13. Modeling envelope statistics of blood and myocardium for segmentation of echocardiographic images.

    NARCIS (Netherlands)

    Nillesen, M.M.; Lopata, R.G.P.; Gerrits, I.H.; Kapusta, L.; Thijssen, J.M.; Korte, C.L. de

    2008-01-01

    The objective of this study was to investigate the use of speckle statistics as a preprocessing step for segmentation of the myocardium in echocardiographic images. Three-dimensional (3D) and biplane image sequences of the left ventricle of two healthy children and one dog (beagle) were acquired.

  14. Segmentation by Large Scale Hypothesis Testing - Segmentation as Outlier Detection

    DEFF Research Database (Denmark)

    Darkner, Sune; Dahl, Anders Lindbjerg; Larsen, Rasmus

    2010-01-01

    locally. We propose a method based on large scale hypothesis testing with a consistent method for selecting an appropriate threshold for the given data. By estimating the background distribution we characterize the segment of interest as a set of outliers with a certain probability based on the estimated...... a microscope and we show how the method can handle transparent particles with significant glare point. The method generalizes to other problems. THis is illustrated by applying the method to camera calibration images and MRI of the midsagittal plane for gray and white matter separation and segmentation...

  15. Perceptions and knowledge about the acquired immunodeficiency ...

    African Journals Online (AJOL)

    Perceptions and knowledge about the acquired immunodeficiency syndrome among students in university residences. R.H. Friedland, S.K. Jankelowitz, M de Beer, C De Klerk, V. Khoury, T. Csizmadia, G.N. Padayachee, S. Levy ...

  16. Community acquired Staphylococcus aureus meningitis in adults

    NARCIS (Netherlands)

    Brouwer, Matthijs C.; Keizerweerd, Gabriella D.; de Gans, Jan; Spanjaard, Lodewijk; van de Beek, Diederik

    2009-01-01

    We present 9 patients with community acquired Staphylococcus aureus meningitis. Foci of infection outside the central nervous system were present in 8 (89%) patients, mostly endocarditis and pneumonia. Cardiorespiratory complications occurred frequently and 6 patients died (67%). Identification and

  17. Enhancing Medicares Hospital Acquired Conditions Policy

    Data.gov (United States)

    U.S. Department of Health & Human Services — The current Medicare policy of non-payment to hospitals for Hospital Acquired Conditions (HAC) seeks to avoid payment for preventable complications identified within...

  18. Volume Segmentation and Ghost Particles

    Science.gov (United States)

    Ziskin, Isaac; Adrian, Ronald

    2011-11-01

    Volume Segmentation Tomographic PIV (VS-TPIV) is a type of tomographic PIV in which images of particles in a relatively thick volume are segmented into images on a set of much thinner volumes that may be approximated as planes, as in 2D planar PIV. The planes of images can be analysed by standard mono-PIV, and the volume of flow vectors can be recreated by assembling the planes of vectors. The interrogation process is similar to a Holographic PIV analysis, except that the planes of image data are extracted from two-dimensional camera images of the volume of particles instead of three-dimensional holographic images. Like the tomographic PIV method using the MART algorithm, Volume Segmentation requires at least two cameras and works best with three or four. Unlike the MART method, Volume Segmentation does not require reconstruction of individual particle images one pixel at a time and it does not require an iterative process, so it operates much faster. As in all tomographic reconstruction strategies, ambiguities known as ghost particles are produced in the segmentation process. The effect of these ghost particles on the PIV measurement is discussed. This research was supported by Contract 79419-001-09, Los Alamos National Laboratory.

  19. Posterior segment ocular manifestations of HIV/AIDS patients.

    Science.gov (United States)

    Chiotan, C; Radu, L; Serban, R; Cornăcel, C; Cioboată, M; Anghelie, A

    2014-09-15

    Human immunodeficiency virus (HIV) has the ability to affect any organ in the body. In 70% of HIV -infected patients ocular manifestations were observed, these, in the vast majority reflect the systemic disease and may be the first signs of disseminated infections. The purpose of this paper is to determine the prevalence of posterior segment ocular manifestations in HIV / AIDS (Acquired Immunodeficiency Syndrome) patients. The study is retrospective, conducted in the Cabinet of Ophthalmology of "Matei Bals" Infectious Diseases Hospital in Bucharest, during the period 1 August 2007 - 1 August 2013 . Each patient was examined thoroughly at the biomicroscope ocular slit by using 90D microscope lens and 20D indirect lens after the administration of topical mydriatics. 348 patients with HIV/AIDS and ocular disorders were followed. There was a high number of children and young people with HIV who had eye disorders (194 patients aged between 14 and 25 years). 44.25% of patients had posterior segment ocular damage, 17.55% of them had the anterior segment affected. 22.90% of the 131 patients with compromised posterior segment microangiopathy have been diagnosed with HIV / AIDS. Doctors should be aware of the existence of ocular damage in HIV / AIDS and to emphasize the importance of regular ophthalmologic examination of patients with HIV / AIDS.

  20. Genetics in Ophthalmology II–Anterior Segment Diseases

    Directory of Open Access Journals (Sweden)

    Canan Aslı Utine

    2012-10-01

    Full Text Available Genetic diseases are congenital or acquired hereditary diseases that result from structural/functional disorders of the human genome. Today, the genetic factors that play a role in many diseases are being highlighted with the rapid progress in the field of genetics science. It becomes increasingly important that physicians from all disciplines have knowledge about the basic principles of genetics, patterns of inheritance, etc., so that they can follow the new developments. In genetic eye diseases, ophthalmologists should know the basic clinical and recently rapidly developing genetic characteristics of these diseases in order to properly approach the diagnosis and treatment and to provide genetic counseling. In this paper, anterior segment eye diseases of genetic origin are reviewed, and aniridia, anterior segment dysgenesis, glaucoma, corneal dystrophies, cataract, ectopia lentis, myopia, and other refractive errors are covered. (Turk J Ophthalmol 2012; 42: 378-85

  1. Segmentation and accuracy in copying and drawing: experts and beginners.

    Science.gov (United States)

    Tchalenko, John

    2009-03-01

    As part of an ongoing investigation into real-world copying and drawing, I recorded the eye-hand drawing strategies of 16 subjects with drawing experiences ranging from expert to novice while they copied a line drawing of a standing nude. The experts produced accurate copies whereas all the beginners produced marked inaccuracies of overall scaling, proportion and shape. Analysis of eye and hand movements showed that the experts alone segmented the original drawing into simple line sections that were copied one at a time using a direct eye-hand strategy not requiring intermediary encoding to visual memory. The results suggest that segmentation into simple lines defines the task-specific process of accurate copying, and that this process is restricted to experts, i.e. acquired through training and practice. Additional preliminary tests also suggest that a similar process may apply to drawing a model from life.

  2. Sequential segmental classification of feline congenital heart disease.

    Science.gov (United States)

    Scansen, Brian A; Schneider, Matthias; Bonagura, John D

    2015-12-01

    Feline congenital heart disease is less commonly encountered in veterinary medicine than acquired feline heart diseases such as cardiomyopathy. Understanding the wide spectrum of congenital cardiovascular disease demands a familiarity with a variety of lesions, occurring both in isolation and in combination, along with an appreciation of complex nomenclature and variable classification schemes. This review begins with an overview of congenital heart disease in the cat, including proposed etiologies and prevalence, examination approaches, and principles of therapy. Specific congenital defects are presented and organized by a sequential segmental classification with respect to their morphologic lesions. Highlights of diagnosis, treatment options, and prognosis are offered. It is hoped that this review will provide a framework for approaching congenital heart disease in the cat, and more broadly in other animal species based on the sequential segmental approach, which represents an adaptation of the common methodology used in children and adults with congenital heart disease. Copyright © 2015 Elsevier B.V. All rights reserved.

  3. Feature-space transformation improves supervised segmentation across scanners

    DEFF Research Database (Denmark)

    van Opbroek, Annegreet; Achterberg, Hakim C.; de Bruijne, Marleen

    2015-01-01

    Image-segmentation techniques based on supervised classification generally perform well on the condition that training and test samples have the same feature distribution. However, if training and test images are acquired with different scanners or scanning parameters, their feature distributions...... can be very different, which can hurt the performance of such techniques. We propose a feature-space-transformation method to overcome these differences in feature distributions. Our method learns a mapping of the feature values of training voxels to values observed in images from the test scanner....... This transformation is learned from unlabeled images of subjects scanned on both the training scanner and the test scanner. We evaluated our method on hippocampus segmentation on 27 images of the Harmonized Hippocampal Protocol (HarP), a heterogeneous dataset consisting of 1.5T and 3T MR images. The results showed...

  4. Asymmetric similarity-weighted ensembles for image segmentation

    DEFF Research Database (Denmark)

    Cheplygina, V.; Van Opbroek, A.; Ikram, M. A.

    2016-01-01

    Supervised classification is widely used for image segmentation. To work effectively, these techniques need large amounts of labeled training data, that is representative of the test data. Different patient groups, different scanners or different scanning protocols can lead to differences between...... the images, thus representative data might not be available. Transfer learning techniques can be used to account for these differences, thus taking advantage of all the available data acquired with different protocols. We investigate the use of classifier ensembles, where each classifier is weighted...... according to the similarity between the data it is trained on, and the data it needs to segment. We examine 3 asymmetric similarity measures that can be used in scenarios where no labeled data from a newly introduced scanner or scanning protocol is available. We show that the asymmetry is informative...

  5. Acquired pure red cell aplasia in children

    Directory of Open Access Journals (Sweden)

    Sujata R Dafale

    2012-01-01

    Full Text Available Acquired Pure Red Cell Aplasia (PRCA is a rare occurrence in children.This is a case of an eight year old girl child who developed acquired PRCA secondary to long term intake of sodium Valproate. This case is reported to review the causes of PRCA in children and to reconsider the use of drugs of longer duration in children and adults.

  6. Multilingualism and acquired neurogenic speech disorders

    OpenAIRE

    Ball, Martin J.

    2015-01-01

    Acquired neurogenic communication disorders can affect language, speech, or both. Although neurogenic speech disorders have been researched for a considerable time, much of this work has been restricted to a few languages (mainly English, with German, French, Japanese and Chinese also represented). Further, the work has concentrated on monolingual speakers. In this account, I aim to outline the main acquired speech disorders, and give examples of research into multilingual aspects of this top...

  7. Segmental NF: A Guide for Patients

    Science.gov (United States)

    ... the body can show signs of segmental NF. Segmental NF1 - Individuals with segmental NF1 most commonly have the skin findings associated with ... cases, can include severe complications. Many individuals with segmental NF1 never develop any complications other than café-au- ...

  8. Liver segmentation: indications, techniques and future directions.

    Science.gov (United States)

    Gotra, Akshat; Sivakumaran, Lojan; Chartrand, Gabriel; Vu, Kim-Nhien; Vandenbroucke-Menu, Franck; Kauffmann, Claude; Kadoury, Samuel; Gallix, Benoît; de Guise, Jacques A; Tang, An

    2017-08-01

    Liver volumetry has emerged as an important tool in clinical practice. Liver volume is assessed primarily via organ segmentation of computed tomography (CT) and magnetic resonance imaging (MRI) images. The goal of this paper is to provide an accessible overview of liver segmentation targeted at radiologists and other healthcare professionals. Using images from CT and MRI, this paper reviews the indications for liver segmentation, technical approaches used in segmentation software and the developing roles of liver segmentation in clinical practice. Liver segmentation for volumetric assessment is indicated prior to major hepatectomy, portal vein embolisation, associating liver partition and portal vein ligation for staged hepatectomy (ALPPS) and transplant. Segmentation software can be categorised according to amount of user input involved: manual, semi-automated and fully automated. Manual segmentation is considered the "gold standard" in clinical practice and research, but is tedious and time-consuming. Increasingly automated segmentation approaches are more robust, but may suffer from certain segmentation pitfalls. Emerging applications of segmentation include surgical planning and integration with MRI-based biomarkers. Liver segmentation has multiple clinical applications and is expanding in scope. Clinicians can employ semi-automated or fully automated segmentation options to more efficiently integrate volumetry into clinical practice. • Liver volume is assessed via organ segmentation on CT and MRI examinations. • Liver segmentation is used for volume assessment prior to major hepatic procedures. • Segmentation approaches may be categorised according to the amount of user input involved. • Emerging applications include surgical planning and integration with MRI-based biomarkers.

  9. An interactive segmentation method based on superpixel

    DEFF Research Database (Denmark)

    Yang, Shu; Zhu, Yaping; Wu, Xiaoyu

    2015-01-01

    This paper proposes an interactive image-segmentation method which is based on superpixel. To achieve fast segmentation, the method is used to establish a Graphcut model using superpixels as nodes, and a new energy function is proposed. Experimental results demonstrate that the authors' method has...... excellent performance in terms of segmentation accuracy and computation efficiency compared with other segmentation algorithm based on pixels....

  10. Discourse segmentation and ambiguity in discourse structure

    NARCIS (Netherlands)

    Hoek, J.|info:eu-repo/dai/nl/375290605; Evers-Vermeul, J.|info:eu-repo/dai/nl/191644684; Sanders, T.J.M.|info:eu-repo/dai/nl/075243911

    2016-01-01

    Discourse relations hold between two or more text segments. The process of discourse annotation not only involves determining what type of relation holds between segments, but also indicating the segments themselves. Often, segmentation and annotation are treated as individual steps, and separate

  11. Skip segment Hirschsprung disease and Waardenburg syndrome

    Directory of Open Access Journals (Sweden)

    Erica R. Gross

    2015-04-01

    Full Text Available Skip segment Hirschsprung disease describes a segment of ganglionated bowel between two segments of aganglionated bowel. It is a rare phenomenon that is difficult to diagnose. We describe a recent case of skip segment Hirschsprung disease in a neonate with a family history of Waardenburg syndrome and the genetic profile that was identified.

  12. 47 CFR 95.853 - Frequency segments.

    Science.gov (United States)

    2010-10-01

    ... 47 Telecommunication 5 2010-10-01 2010-10-01 false Frequency segments. 95.853 Section 95.853... SERVICES 218-219 MHz Service Technical Standards § 95.853 Frequency segments. There are two frequency segments available for assignment to the 218-219 MHz Service in each service area. Frequency segment A is...

  13. XRTPS – EXTENSIBLE REAL-TIME PUBLISH-SUBSCRIBE: MIDDLEWARE MULTICAST PARA TROCA DE DADOS BASEADO EM XML PARA REDES DE TEMPO REAL

    Directory of Open Access Journals (Sweden)

    Jalerson Raposo Ferreira de Lima

    2011-06-01

    Full Text Available Um fator recorrente das redes de escritório é a busca por maior desempenho, ou seja, redes que executem suas tarefas no menor tempo possível. Porém, para redes industriais o desempenho médio não é o fator mais relevante, isso porque o desempenho de um sistema de tempo real está diretamente relacionado com a previsibilidade imposta pelo ambiente. Enquanto as redes de escritório são orientadas a obter o melhor desempenho médio possível, as redes industriais são orientadas a requisitos temporais, dado que o fator de cumprimento das metas temporais é imperativo em muitas aplicações de tempo real, ou seja, o determinismo. O padrão Ethernet é a principal tecnologia de interconexão de redes locais, porém ainda não foi estabelecido como padrão para redes industriais porque o seu método de acesso ao meio, o CSMA/CD, não atende aos requisitos temporais exigidos por esse tipo de rede. Esse trabalho teve como objetivo desenvolver um middleware em Java para troca de dados em redes industriais, denominado Extensible Real-Time Publish Subscribe. Java foi escolhida como a tecnologia de desenvolvimento a fim de garantir a independência de plataforma provida pela Máquina Virtual Java. Essa independência também é provida pelo próprio middleware, uma vez que suas mensagens são formatadas em XML, que por se tratar de um padrão mundial estabelecido pela W3C, pode ser manipulado por diferentes tecnologias.

  14. Automatic segmentation of mammogram and tomosynthesis images

    Science.gov (United States)

    Sargent, Dusty; Park, Sun Young

    2016-03-01

    Breast cancer is a one of the most common forms of cancer in terms of new cases and deaths both in the United States and worldwide. However, the survival rate with breast cancer is high if it is detected and treated before it spreads to other parts of the body. The most common screening methods for breast cancer are mammography and digital tomosynthesis, which involve acquiring X-ray images of the breasts that are interpreted by radiologists. The work described in this paper is aimed at optimizing the presentation of mammography and tomosynthesis images to the radiologist, thereby improving the early detection rate of breast cancer and the resulting patient outcomes. Breast cancer tissue has greater density than normal breast tissue, and appears as dense white image regions that are asymmetrical between the breasts. These irregularities are easily seen if the breast images are aligned and viewed side-by-side. However, since the breasts are imaged separately during mammography, the images may be poorly centered and aligned relative to each other, and may not properly focus on the tissue area. Similarly, although a full three dimensional reconstruction can be created from digital tomosynthesis images, the same centering and alignment issues can occur for digital tomosynthesis. Thus, a preprocessing algorithm that aligns the breasts for easy side-by-side comparison has the potential to greatly increase the speed and accuracy of mammogram reading. Likewise, the same preprocessing can improve the results of automatic tissue classification algorithms for mammography. In this paper, we present an automated segmentation algorithm for mammogram and tomosynthesis images that aims to improve the speed and accuracy of breast cancer screening by mitigating the above mentioned problems. Our algorithm uses information in the DICOM header to facilitate preprocessing, and incorporates anatomical region segmentation and contour analysis, along with a hidden Markov model (HMM) for

  15. A Novel Iris Segmentation Scheme

    Directory of Open Access Journals (Sweden)

    Chen-Chung Liu

    2014-01-01

    Full Text Available One of the key steps in the iris recognition system is the accurate iris segmentation from its surrounding noises including pupil, sclera, eyelashes, and eyebrows of a captured eye-image. This paper presents a novel iris segmentation scheme which utilizes the orientation matching transform to outline the outer and inner iris boundaries initially. It then employs Delogne-Kåsa circle fitting (instead of the traditional Hough transform to further eliminate the outlier points to extract a more precise iris area from an eye-image. In the extracted iris region, the proposed scheme further utilizes the differences in the intensity and positional characteristics of the iris, eyelid, and eyelashes to detect and delete these noises. The scheme is then applied on iris image database, UBIRIS.v1. The experimental results show that the presented scheme provides a more effective and efficient iris segmentation than other conventional methods.

  16. Learning to Segment Moving Objects in Videos

    OpenAIRE

    Fragkiadaki, Katerina; Arbelaez, Pablo; Felsen, Panna; Malik, Jitendra

    2014-01-01

    We segment moving objects in videos by ranking spatio-temporal segment proposals according to "moving objectness": how likely they are to contain a moving object. In each video frame, we compute segment proposals using multiple figure-ground segmentations on per frame motion boundaries. We rank them with a Moving Objectness Detector trained on image and motion fields to detect moving objects and discard over/under segmentations or background parts of the scene. We extend the top ranked segmen...

  17. Segmental Trunk Control Acquisition and Reaching in Typically Developing Infants

    Science.gov (United States)

    Rachwani, Jaya; Santamaria, Victor; Saavedra, Sandra L.; Wood, Stacy; Porter, Francine; Woollacott, Marjorie H.

    2013-01-01

    This study explored the influence of an external support at the thoracic and pelvic level of the trunk on the success of reaching, postural stability and reaching kinematics while infants reached for a toy. Seventeen infants (4–6 months) were clustered into two groups according to their trunk control assessed with the Segmental Assessment of Trunk Control (SATCo). Major differences were seen between groups with pelvic support, whereas with thoracic support, all infants showed similar quality reaching behaviours. With the external pelvic support, infants who had acquired trunk control in the lumbar region were more accurate in their reaching movements (less movement time, improved straightness of reach, less movement units and path length per movement unit) and were more stable (decreased trunk and head displacement) during a reach than infants that had only acquired trunk control in the thoracic region. These results support the hypothesis that trunk control influences the quality of reaching behaviour. PMID:23681292

  18. Optimally segmented permanent magnet structures

    DEFF Research Database (Denmark)

    Insinga, Andrea Roberto; Bjørk, Rasmus; Smith, Anders

    2016-01-01

    We present an optimization approach which can be employed to calculate the globally optimal segmentation of a two-dimensional magnetic system into uniformly magnetized pieces. For each segment the algorithm calculates the optimal shape and the optimal direction of the remanent flux density vector......, with respect to a linear objective functional. We illustrate the approach with results for magnet design problems from different areas, such as a permanent magnet electric motor, a beam focusing quadrupole magnet for particle accelerators and a rotary device for magnetic refrigeration....

  19. Segmenting Brain Tumors with Symmetry

    OpenAIRE

    Zhang, Hejia; Zhu, Xia; Willke, Theodore L.

    2017-01-01

    We explore encoding brain symmetry into a neural network for a brain tumor segmentation task. A healthy human brain is symmetric at a high level of abstraction, and the high-level asymmetric parts are more likely to be tumor regions. Paying more attention to asymmetries has the potential to boost the performance in brain tumor segmentation. We propose a method to encode brain symmetry into existing neural networks and apply the method to a state-of-the-art neural network for medical imaging s...

  20. Nanofiber-segment ring resonator

    CERN Document Server

    Jones, D E; Franson, J D; Pittman, T B

    2016-01-01

    We describe a fiber ring resonator comprised of a relatively long loop of standard single-mode fiber with a short nanofiber segment. The evanescent mode of the nanofiber segment allows the cavity-enhanced field to interact with atoms in close proximity to the nanofiber surface. We report on an experiment using a warm atomic vapor and low-finesse cavity, and briefly discuss the potential for reaching the strong coupling regime of cavity QED by using trapped atoms and a high-finesse cavity of this kind.

  1. Four segment piezo based micropump

    Science.gov (United States)

    Haldkar, Rakesh Kumar; Sheorey, Tanuja; Gupta, Vijay Kumar; Ansari, M. Zahid

    2017-06-01

    In recent years, micropumps have been investigated by various researchers as drug delivery and disease diagnostic devices. Many of these micropumps have been designed, considering available micro fabrication technologies rather than appropriate pump performance analysis. Piezoelectric based micro pumps are more popular as compared to other smart materials being explored. In this paper, four segment piezoelectric bimorph actuator (FSPB) are compared with circular disc piezoelectric bimorph actuator (CDPB) based pump. The static and transient behaviors under various electric fields have been analyzed by using ANSYS 12.1(R) finite element software. Simulation results show that dividing the actuator in segment can amplify the deflection and improve the performance of the pump.

  2. Automated segmentation of visceral and subcutaneous (deep and superficial) adipose tissues in normal and overweight men.

    Science.gov (United States)

    Sadananthan, Suresh Anand; Prakash, Bhanu; Leow, Melvin Khee-Shing; Khoo, Chin Meng; Chou, Hong; Venkataraman, Kavita; Khoo, Eric Y H; Lee, Yung Seng; Gluckman, Peter D; Tai, E Shyong; Velan, S Sendhil

    2015-04-01

    To develop an automatic segmentation algorithm to classify abdominal adipose tissues into visceral fat (VAT), deep (DSAT), and superficial (SSAT) subcutaneous fat compartments and evaluate its performance against manual segmentation. Data were acquired from 44 normal (BMI 18.0-22.9 kg/m(2) ) and 38 overweight (BMI 23.0-29.9 kg/m(2) ) subjects at 3T using a two-point Dixon sequence. A fully automatic segmentation algorithm was developed to segment the fat depots. The first part of the segmentation used graph cuts to separate the subcutaneous and visceral adipose tissues and the second step employed a modified level sets approach to classify deep and superficial subcutaneous tissues. The algorithmic results of segmentation were validated against the ground truth generated by manual segmentation. The proposed algorithm showed good performance with Dice similarity indices of VAT/DSAT/SSAT: 0.92/0.82/0.88 against the ground truth. The study of the fat distribution showed that there is a steady increase in the proportion of DSAT and a decrease in the proportion of SSAT with increasing obesity. The presented technique provides an accurate approach for the segmentation and quantification of abdominal fat depots. © 2014 Wiley Periodicals, Inc.

  3. Myocardial Infarct Segmentation From Magnetic Resonance Images for Personalized Modeling of Cardiac Electrophysiology.

    Science.gov (United States)

    Ukwatta, Eranga; Arevalo, Hermenegild; Li, Kristina; Yuan, Jing; Qiu, Wu; Malamas, Peter; Wu, Katherine C; Trayanova, Natalia A; Vadakkumpadan, Fijoy

    2016-06-01

    Accurate representation of myocardial infarct geometry is crucial to patient-specific computational modeling of the heart in ischemic cardiomyopathy. We have developed a methodology for segmentation of left ventricular (LV) infarct from clinically acquired, two-dimensional (2D), late-gadolinium enhanced cardiac magnetic resonance (LGE-CMR) images, for personalized modeling of ventricular electrophysiology. The infarct segmentation was expressed as a continuous min-cut optimization problem, which was solved using its dual formulation, the continuous max-flow (CMF). The optimization objective comprised of a smoothness term, and a data term that quantified the similarity between image intensity histograms of segmented regions and those of a set of training images. A manual segmentation of the LV myocardium was used to initialize and constrain the developed method. The three-dimensional geometry of infarct was reconstructed from its segmentation using an implicit, shape-based interpolation method. The proposed methodology was extensively evaluated using metrics based on geometry, and outcomes of individualized electrophysiological simulations of cardiac dys(function). Several existing LV infarct segmentation approaches were implemented, and compared with the proposed method. Our results demonstrated that the CMF method was more accurate than the existing approaches in reproducing expert manual LV infarct segmentations, and in electrophysiological simulations. The infarct segmentation method we have developed and comprehensively evaluated in this study constitutes an important step in advancing clinical applications of personalized simulations of cardiac electrophysiology.

  4. A Wavelet Relational Fuzzy C-Means Algorithm for 2D Gel Image Segmentation

    Directory of Open Access Journals (Sweden)

    Shaheera Rashwan

    2013-01-01

    Full Text Available One of the most famous algorithms that appeared in the area of image segmentation is the Fuzzy C-Means (FCM algorithm. This algorithm has been used in many applications such as data analysis, pattern recognition, and image segmentation. It has the advantages of producing high quality segmentation compared to the other available algorithms. Many modifications have been made to the algorithm to improve its segmentation quality. The proposed segmentation algorithm in this paper is based on the Fuzzy C-Means algorithm adding the relational fuzzy notion and the wavelet transform to it so as to enhance its performance especially in the area of 2D gel images. Both proposed modifications aim to minimize the oversegmentation error incurred by previous algorithms. The experimental results of comparing both the Fuzzy C-Means (FCM and the Wavelet Fuzzy C-Means (WFCM to the proposed algorithm on real 2D gel images acquired from human leukemias, HL-60 cell lines, and fetal alcohol syndrome (FAS demonstrate the improvement achieved by the proposed algorithm in overcoming the segmentation error. In addition, we investigate the effect of denoising on the three algorithms. This investigation proves that denoising the 2D gel image before segmentation can improve (in most of the cases the quality of the segmentation.

  5. Threshold segmentation algorithm for automatic extraction of cerebral vessels from brain magnetic resonance angiography images.

    Science.gov (United States)

    Wang, Rui; Li, Chao; Wang, Jie; Wei, Xiaoer; Li, Yuehua; Zhu, Yuemin; Zhang, Su

    2015-02-15

    Cerebrovascular segmentation plays an important role in medical diagnosis. This study was conducted to develop a threshold segmentation algorithm for automatic extraction and volumetric quantification of cerebral vessels on brain magnetic resonance angiography (MRA) images. The MRA images of 10 individuals were acquired using a 3 Tesla MR scanner (Intera-achieva SMI-2.1, Philips Medical Systems). Otsu's method was used to divide the brain MRA images into two parts, namely, foreground and background regions. To extract the cerebral vessels, we performed the threshold segmentation algorithm on the foreground region by comparing two different statistical distributions. Automatically segmented vessels were compared with manually segmented vessels. Different similarity metrics were used to assess the changes in segmentation performance as a function of a weighted parameter w used in segmentation algorithm. Varying w from 2 to 100 resulted in a false positive rate ranging from 117% to 3.21%, and a false negative rate ranging from 8.23% to 28.97%. The Dice similarity coefficient (DSC), which reflected the segmentation accuracy, initially increased and then decreased as w increased. The suggested range of values for w is [10, 20] given that the maximum DSC (e.g., DSC=0.84) was obtained within this range. The performance of our method was validated by comparing with manual segmentation. The proposed threshold segmentation method can be used to accurately and efficiently extract cerebral vessels from brain MRA images. Threshold segmentation may be used for studies focusing on three-dimensional visualization and volumetric quantification of cerebral vessels. Copyright © 2014 Elsevier B.V. All rights reserved.

  6. Do Acquirer Capabilities Affect Acquisition Performance? Examining Strategic and Effectiveness Capabilities in Acquirers

    OpenAIRE

    Mudde, Paul A.; Brush, Thomas

    2006-01-01

    This paper examines acquisition performance from the perspective of acquirer capabilities. It argues that the strategic capabilities underpinning a firm’s competitive strategy can be utilized to create economic value in acquisitions. Acquirers with strong cost leadership capabilities are expected to leverage these capabilities to reduce post-acquisition costs as they integrate acquisition targets. Acquirers with strong differentiation capabilities are expected to utilize their strategic capab...

  7. Dictionary Based Segmentation in Volumes

    DEFF Research Database (Denmark)

    Emerson, Monica Jane; Jespersen, Kristine Munk; Jørgensen, Peter Stanley

    Method for supervised segmentation of volumetric data. The method is trained from manual annotations, and these annotations make the method very flexible, which we demonstrate in our experiments. Our method infers label information locally by matching the pattern in a neighborhood around a voxel ...... to a dictionary, and hereby accounts for the volume texture....

  8. Segmental Colitis Complicating Diverticular Disease

    Directory of Open Access Journals (Sweden)

    Guido Ma Van Rosendaal

    1996-01-01

    Full Text Available Two cases of idiopathic colitis affecting the sigmoid colon in elderly patients with underlying diverticulosis are presented. Segmental resection has permitted close review of the histopathology in this syndrome which demonstrates considerable similarity to changes seen in idiopathic ulcerative colitis. The reported experience with this syndrome and its clinical features are reviewed.

  9. Leaf segmentation in plant phenotyping

    NARCIS (Netherlands)

    Scharr, Hanno; Minervini, Massimo; French, Andrew P.; Klukas, Christian; Kramer, David M.; Liu, Xiaoming; Luengo, Imanol; Pape, Jean Michel; Polder, Gerrit; Vukadinovic, Danijela; Yin, Xi; Tsaftaris, Sotirios A.

    2016-01-01

    Image-based plant phenotyping is a growing application area of computer vision in agriculture. A key task is the segmentation of all individual leaves in images. Here we focus on the most common rosette model plants, Arabidopsis and young tobacco. Although leaves do share appearance and shape

  10. Body segments and growth hormone.

    OpenAIRE

    Bundak, R; Hindmarsh, P C; Brook, C G

    1988-01-01

    The effects of human growth hormone treatment for five years on sitting height and subischial leg length of 35 prepubertal children with isolated growth hormone deficiency were investigated. Body segments reacted equally to treatment with human growth hormone; this is important when comparing the effect of growth hormone on the growth of children with skeletal dysplasias or after spinal irradiation.

  11. Keratoplasty following anterior segment trauma.

    Science.gov (United States)

    Robinson, L P

    1981-02-01

    This paper reports and analyses 20 keratoplasties with or without anterior segment reconstruction carried out for penetrating injuries of the anterior segment. The results show that 80% clear grafts were achieved and 65% of eyes had vision restored to 6/18 or better. No eyes were lost. The complications were retinal detachments 2 cases, corneal graft rejection 2 cases, glaucoma 4 cases (2 mild and easily controlled) and one each of amblyopia and retinal folds through macular area. Eyes that have "quietened" following severe penetrating injuries of the anterior segment should be considered for penetrating keratoplasty and anterior segment reconstruction if they retain normal intraocular pressures and have vision of at least accurate projection of light in all quadrants. As well as achieving clear grafts and improvement of vision as above, all eyes had better cosmetic appearance. Two eyes had an ipsilateral rotational autokeratoplasty. This technique has a role to play when central scarring can be rotated to the periphery if sufficient undamaged cornea remains and interference with angle structures can be minimised.

  12. Ocular Findings in Acquired Immunodeficiency Syndrome Patients ...

    African Journals Online (AJOL)

    Material and Methods: All consecutive adult Seropositive HIV/AIDS patients of PEPFAR Clinic at the Lagos University Teaching Hospital between February 1st - March ... Participants were examined according to standard protocol comprising visual acuity, intraocular pressure, anterior segment examination with slit lamp ...

  13. Joint shape segmentation with linear programming

    KAUST Repository

    Huang, Qixing

    2011-01-01

    We present an approach to segmenting shapes in a heterogenous shape database. Our approach segments the shapes jointly, utilizing features from multiple shapes to improve the segmentation of each. The approach is entirely unsupervised and is based on an integer quadratic programming formulation of the joint segmentation problem. The program optimizes over possible segmentations of individual shapes as well as over possible correspondences between segments from multiple shapes. The integer quadratic program is solved via a linear programming relaxation, using a block coordinate descent procedure that makes the optimization feasible for large databases. We evaluate the presented approach on the Princeton segmentation benchmark and show that joint shape segmentation significantly outperforms single-shape segmentation techniques. © 2011 ACM.

  14. Competition between influenza A virus genome segments.

    Directory of Open Access Journals (Sweden)

    Ivy Widjaja

    Full Text Available Influenza A virus (IAV contains a segmented negative-strand RNA genome. How IAV balances the replication and transcription of its multiple genome segments is not understood. We developed a dual competition assay based on the co-transfection of firefly or Gaussia luciferase-encoding genome segments together with plasmids encoding IAV polymerase subunits and nucleoprotein. At limiting amounts of polymerase subunits, expression of the firefly luciferase segment was negatively affected by the presence of its Gaussia luciferase counterpart, indicative of competition between reporter genome segments. This competition could be relieved by increasing or decreasing the relative amounts of firefly or Gaussia reporter segment, respectively. The balance between the luciferase expression levels was also affected by the identity of the untranslated regions (UTRs as well as segment length. In general it appeared that genome segments displaying inherent higher expression levels were more efficient competitors of another segment. When natural genome segments were tested for their ability to suppress reporter gene expression, shorter genome segments generally reduced firefly luciferase expression to a larger extent, with the M and NS segments having the largest effect. The balance between different reporter segments was most dramatically affected by the introduction of UTR panhandle-stabilizing mutations. Furthermore, only reporter genome segments carrying these mutations were able to efficiently compete with the natural genome segments in infected cells. Our data indicate that IAV genome segments compete for available polymerases. Competition is affected by segment length, coding region, and UTRs. This competition is probably most apparent early during infection, when limiting amounts of polymerases are present, and may contribute to the regulation of segment-specific replication and transcription.

  15. Automatic segmentation of lumbar vertebrae in CT images

    Science.gov (United States)

    Kulkarni, Amruta; Raina, Akshita; Sharifi Sarabi, Mona; Ahn, Christine S.; Babayan, Diana; Gaonkar, Bilwaj; Macyszyn, Luke; Raghavendra, Cauligi

    2017-03-01

    Lower back pain is one of the most prevalent disorders in the developed/developing world. However, its etiology is poorly understood and treatment is often determined subjectively. In order to quantitatively study the emergence and evolution of back pain, it is necessary to develop consistently measurable markers for pathology. Imaging based measures offer one solution to this problem. The development of imaging based on quantitative biomarkers for the lower back necessitates automated techniques to acquire this data. While the problem of segmenting lumbar vertebrae has been addressed repeatedly in literature, the associated problem of computing relevant biomarkers on the basis of the segmentation has not been addressed thoroughly. In this paper, we propose a Random-Forest based approach that learns to segment vertebral bodies in CT images followed by a biomarker evaluation framework that extracts vertebral heights and widths from the segmentations obtained. Our dataset consists of 15 CT sagittal scans obtained from General Electric Healthcare. Our main approach is divided into three parts: the first stage is image pre-processing which is used to correct for variations in illumination across all the images followed by preparing the foreground and background objects from images; the next stage is Machine Learning using Random-Forests, which distinguishes the interest-point vectors between foreground or background; and the last step is image post-processing, which is crucial to refine the results of classifier. The Dice coefficient was used as a statistical validation metric to evaluate the performance of our segmentations with an average value of 0.725 for our dataset.

  16. Ultrasound Common Carotid Artery Segmentation Based on Active Shape Model

    Directory of Open Access Journals (Sweden)

    Xin Yang

    2013-01-01

    Full Text Available Carotid atherosclerosis is a major reason of stroke, a leading cause of death and disability. In this paper, a segmentation method based on Active Shape Model (ASM is developed and evaluated to outline common carotid artery (CCA for carotid atherosclerosis computer-aided evaluation and diagnosis. The proposed method is used to segment both media-adventitia-boundary (MAB and lumen-intima-boundary (LIB on transverse views slices from three-dimensional ultrasound (3D US images. The data set consists of sixty-eight, 17 × 2 × 2, 3D US volume data acquired from the left and right carotid arteries of seventeen patients (eight treated with 80 mg atorvastatin and nine with placebo, who had carotid stenosis of 60% or more, at baseline and after three months of treatment. Manually outlined boundaries by expert are adopted as the ground truth for evaluation. For the MAB and LIB segmentations, respectively, the algorithm yielded Dice Similarity Coefficient (DSC of 94.4% ± 3.2% and 92.8% ± 3.3%, mean absolute distances (MAD of 0.26 ± 0.18 mm and 0.33 ± 0.21 mm, and maximum absolute distances (MAXD of 0.75 ± 0.46 mm and 0.84 ± 0.39 mm. It took 4.3 ± 0.5 mins to segment single 3D US images, while it took 11.7 ± 1.2 mins for manual segmentation. The method would promote the translation of carotid 3D US to clinical care for the monitoring of the atherosclerotic disease progression and regression.

  17. Reproducibility of MRI segmentation using a feature space method

    Science.gov (United States)

    Soltanian-Zadeh, Hamid; Windham, Joe P.; Scarpace, Lisa; Murnock, Tanya

    1998-06-01

    This paper presents reproducibility studies for the segmentation results obtained by our optimal MRI feature space method. The steps of the work accomplished are as follows. (1) Eleven patients with brain tumors were imaged by a 1.5 T General Electric Signa MRI System. Four T2- weighted and two T1-weighted images (before and after Gadolinium injection) were acquired for each patient. (2) Images of a slice through the center of the tumor were selected for processing. (3) Patient information was removed from the image headers and new names (unrecognizable by the image analysts) were given to the images. These images were blindly analyzed by the image analysts. (4) Segmentation results obtained by the two image analysts at two time points were compared to assess the reproducibility of the segmentation method. For each tissue segmented in each patient study, a comparison was done by kappa statistics and a similarity measure (an approximation of kappa statistics used by other researchers), to evaluate the number of pixels that were in both of the segmentation results obtained by the two image analysts (agreement) relative to the number of pixels that were not in both (disagreement). An overall agreement comparison was done by finding means and standard deviations of kappa statistics and the similarity measure found for each tissue type in the studies. The kappa statistics for white matter was the largest (0.80) followed by those of gray matter (0.68), partial volume (0.67), total lesion (0.66), and CSF (0.44). The similarity measure showed the same trend but it was always higher than kappa statistics. It was 0.85 for white matter, 0.77 for gray matter, 0.73 for partial volume, 0.72 for total lesion, and 0.47 for CSF.

  18. And the Winner is – Acquired

    DEFF Research Database (Denmark)

    Henkel, Joachim; Rønde, Thomas; Wagner, Marcus

    We analyze an innovation game between one incumbent and a large number of entrants. In the first stage, firms compete to develop innovations of high quality. They do so by choosing, at equal cost, the success probability of their R&D approach, where a lower probability goes along with a higher...... value in case of success—that is, a more radical innovation. In the second stage, successful entrants bid to be acquired by the incumbent. We assume that entrants cannot survive on their own, so being acquired amounts to a ‘prize’ in a contest. We identify an equilibrium in which the incumbent chooses...

  19. Researching Acquired Sensory Loss in Older Life

    DEFF Research Database (Denmark)

    Rasmussen, Jon Dag; Winther, Ida Wentzel

    2017-01-01

    In this paper we explore a number of different methodological scenarios and challenges, and sketch out opportunities, as they are emerging within an ethnographically based exploration of acquired sensory loss (hearing and/or vision) amongst old people (ages 75+) in Denmark.......In this paper we explore a number of different methodological scenarios and challenges, and sketch out opportunities, as they are emerging within an ethnographically based exploration of acquired sensory loss (hearing and/or vision) amongst old people (ages 75+) in Denmark....

  20. Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification.

    Science.gov (United States)

    Arganda-Carreras, Ignacio; Kaynig, Verena; Rueden, Curtis; Eliceiri, Kevin W; Schindelin, Johannes; Cardona, Albert; Sebastian Seung, H

    2017-08-01

    State-of-the-art light and electron microscopes are capable of acquiring large image datasets, but quantitatively evaluating the data often involves manually annotating structures of interest. This process is time-consuming and often a major bottleneck in the evaluation pipeline. To overcome this problem, we have introduced the Trainable Weka Segmentation (TWS), a machine learning tool that leverages a limited number of manual annotations in order to train a classifier and segment the remaining data automatically. In addition, TWS can provide unsupervised segmentation learning schemes (clustering) and can be customized to employ user-designed image features or classifiers. TWS is distributed as open-source software as part of the Fiji image processing distribution of ImageJ at http://imagej.net/Trainable_Weka_Segmentation . ignacio.arganda@ehu.eus. Supplementary data are available at Bioinformatics online.

  1. A New SAR Image Segmentation Algorithm for the Detection of Target and Shadow Regions.

    Science.gov (United States)

    Huang, Shiqi; Huang, Wenzhun; Zhang, Ting

    2016-12-07

    The most distinctive characteristic of synthetic aperture radar (SAR) is that it can acquire data under all weather conditions and at all times. However, its coherent imaging mechanism introduces a great deal of speckle noise into SAR images, which makes the segmentation of target and shadow regions in SAR images very difficult. This paper proposes a new SAR image segmentation method based on wavelet decomposition and a constant false alarm rate (WD-CFAR). The WD-CFAR algorithm not only is insensitive to the speckle noise in SAR images but also can segment target and shadow regions simultaneously, and it is also able to effectively segment SAR images with a low signal-to-clutter ratio (SCR). Experiments were performed to assess the performance of the new algorithm on various SAR images. The experimental results show that the proposed method is effective and feasible and possesses good characteristics for general application.

  2. Three-dimensional partial volume segmentation of multispectral magnetic resonance images using stochastic relaxation

    Science.gov (United States)

    Johnston, Brian; Atkins, M. Stella; Booth, Kellogg S.

    1994-05-01

    An algorithm has been developed which uses stochastic relaxation in three dimensions to segment brain tissues from images acquired using multiple echo sequences from magnetic resonance imaging (MRI). The initial volume data is assumed to represent a locally dependent Markov random field. Partial volume estimates for each voxel are obtained yielding fractional composition of multiple tissue types for individual voxels. A minimum of user intervention is required to train the algorithm by requiring the manual outlining of regions of interest in a sample image from the volume. Segmentations obtained from multiple echo sequences are determined independently and then combined by forming the product of the probabilities for each tissues type. The implementation has been parallelized using a dataflow programming environment to reduce the computational burden. The algorithm has been used to segment 3D MRI data sets using multiple sclerosis lesions, gray matter, white matter, and cerebrospinal fluid as the partial volumes. Results correspond well with manual segmentations of the same data.

  3. A New SAR Image Segmentation Algorithm for the Detection of Target and Shadow Regions

    Science.gov (United States)

    Huang, Shiqi; Huang, Wenzhun; Zhang, Ting

    2016-01-01

    The most distinctive characteristic of synthetic aperture radar (SAR) is that it can acquire data under all weather conditions and at all times. However, its coherent imaging mechanism introduces a great deal of speckle noise into SAR images, which makes the segmentation of target and shadow regions in SAR images very difficult. This paper proposes a new SAR image segmentation method based on wavelet decomposition and a constant false alarm rate (WD-CFAR). The WD-CFAR algorithm not only is insensitive to the speckle noise in SAR images but also can segment target and shadow regions simultaneously, and it is also able to effectively segment SAR images with a low signal-to-clutter ratio (SCR). Experiments were performed to assess the performance of the new algorithm on various SAR images. The experimental results show that the proposed method is effective and feasible and possesses good characteristics for general application. PMID:27924935

  4. An Image Matching Algorithm Integrating Global SRTM and Image Segmentation for Multi-Source Satellite Imagery

    Directory of Open Access Journals (Sweden)

    Xiao Ling

    2016-08-01

    Full Text Available This paper presents a novel image matching method for multi-source satellite images, which integrates global Shuttle Radar Topography Mission (SRTM data and image segmentation to achieve robust and numerous correspondences. This method first generates the epipolar lines as a geometric constraint assisted by global SRTM data, after which the seed points are selected and matched. To produce more reliable matching results, a region segmentation-based matching propagation is proposed in this paper, whereby the region segmentations are extracted by image segmentation and are considered to be a spatial constraint. Moreover, a similarity measure integrating Distance, Angle and Normalized Cross-Correlation (DANCC, which considers geometric similarity and radiometric similarity, is introduced to find the optimal correspondences. Experiments using typical satellite images acquired from Resources Satellite-3 (ZY-3, Mapping Satellite-1, SPOT-5 and Google Earth demonstrated that the proposed method is able to produce reliable and accurate matching results.

  5. ACQUIRED CUTIS LAXA WITH RECURRENT URTICARIA

    Directory of Open Access Journals (Sweden)

    Ganaparthi

    2015-05-01

    Full Text Available A 30 year old male patient presented with progressive laxity and wrinkling of skin over the face for past 10 years, patient also gives history of recurrent urticaria since 12 years. Skin biopsy using Verhoff Van Gieson stain suggestive of cutis laxa. We are reporting a rare case of acquired cutis laxa with recurrent urticaria

  6. Beliefs and perceptions about Acquired Immunodeficieny Syndrome ...

    African Journals Online (AJOL)

    Acquired Immunodeficiency syndrome (AIDS) has assumed a disease of epidemic dimension both in Nigeria's rural and urban communities. Different people have varying knowledge and beliefs about this disease. This study was designed to assess the beliefs and perceptions of the people of Ihugh community in that ...

  7. Some Characteristics of Patients with Community Acquired ...

    African Journals Online (AJOL)

    There is a dearth of studies relating the information from the history of patients with community-acquired pneumonia to the mortality of the disease. The relationship between age, sex, occupation, marital status, smoking history, alcohol use, concomitant COPD / bronchial asthma, source of referral and the mortality of patients ...

  8. What Does It Take To Acquire Language?

    Science.gov (United States)

    Krashen, Stephen

    2000-01-01

    Discusses what it takes to acquire language, and suggests that second language acquisition can occur without living in the country where the language is spoken and without formal instruction. The crucial variables appear to be comprehensible input and having a good relationship with speakers of the language. Provides an example of a Mexican…

  9. Extranodal presentation in patients with acquired immunodeficiency ...

    African Journals Online (AJOL)

    Kaposi's sarcoma, non-Hodgkin's lymphoma (NHL), including primary central nervous system lymphoma (PCNSL), and cervical cancer define the acquired immune deficiency syndrome (AIDS). NHL is the second most common malignancy associated with HIV infection. The clinical presentation varies, and while patients ...

  10. In vivo mechanisms of acquired thymic tolerance

    DEFF Research Database (Denmark)

    Chen, W; Issazadeh-Navikas, Shohreh; Sayegh, M H

    1997-01-01

    Injection of antigen into the thymus of adult animals induces specific systemic tolerance, but the mechanisms of acquired thymic tolerance are not well understood. To investigate these mechanisms we used a model of intrathymic injection of ovalbumin (OVA) in BALB/c mice. We show an antigen-specif...

  11. How to acquire, retain or renew knowledge

    African Journals Online (AJOL)

    Obstetrics and gynaecology are vast subjects. Each contains 40 elements or so, many of which subdivide into separate topics. Medical students are expected to acquire knowledge of these in 6 weeks, 2 months or 3 months, and will be examined by someone who may have been rereading the information for 25 years.

  12. Acquired immunodeficiency syndrome with subacute sclerosing panencephalitis.

    Science.gov (United States)

    Gowda, Vykuntaraju K N; Sukanya, V; Shivananda

    2012-11-01

    A 7-year-old boy with acquired immunodeficiency syndrome, receiving antiretroviral drugs for 2 years, presented with a recent onset of myoclonic jerks and cognitive deterioration. On examination, he manifested myoclonic jerks once every 10-15 seconds. His electroencephalogram indicated periodic complexes, and his cerebrospinal fluid tested positive for measles antibodies. Copyright © 2012 Elsevier Inc. All rights reserved.

  13. Antimicrobial susceptibility in community-acquired bacterial ...

    African Journals Online (AJOL)

    Design: Cross-sectional study. Setting: Bacterial isolates were obtained from adults suspected to have community-acquired pneumonia and who sought treatment at two city council clinics in Nairobi, Kenya. Susceptibility to antimicrobial agents was performed using a microdilution broth method, according to the criteria set ...

  14. Acquired methaemoglobinaemia in pregnancy. A case report.

    Science.gov (United States)

    Moore, P J; Braatvedt, G D

    1985-01-05

    The first report of transient, presumably drug-induced, acquired methaemoglobinaemia in pregnancy is presented. The patient required no treatment and there was no fetal distress or intra-uterine growth retardation. A normal, full-term, female infant was born by normal vaginal delivery.

  15. Monitoring Agitated Behavior After acquired Brain Injury

    DEFF Research Database (Denmark)

    Aadal, Lena; Mortensen, Jesper; Nielsen, Jørgen Feldbaek

    2016-01-01

    Purpose: To describe the onset, duration, intensity, and nursing shift variation of agitated behavior in patients with acquired brain injury (ABI) at a rehabilitation hospital. Design: Prospective descriptive study. Methods: A total of 11 patients with agitated behavior were included. Agitated...

  16. Acquired Demyelinating Syndromes and Pediatric Multiple Sclerosis

    NARCIS (Netherlands)

    I.A. Ketelslegers (Immy)

    2014-01-01

    markdownabstract__Abstract__ Acquired inflammatory demyelinating diseases of the central nervous system (CNS) cause damage to myelin sheaths and typically result in white matter lesions due to inflammation, myelin loss and axonal pathology. Clinically, this may result in transient, relapsing or

  17. Intensive care unit-acquired weakness

    NARCIS (Netherlands)

    Horn, J.; Hermans, G.

    2017-01-01

    When critically ill, a severe weakness of the limbs and respiratory muscles often develops with a prolonged stay in the intensive care unit (ICU), a condition vaguely termed intensive care unit-acquired weakness (ICUAW). Many of these patients have serious nerve and muscle injury. This syndrome is

  18. Immunomodulation in community-acquired pneumonia

    NARCIS (Netherlands)

    Remmelts, H.H.F.

    2013-01-01

    Community-acquired pneumonia (CAP) is a common disease with considerable morbidity and mortality, despite effective antibiotic treatment. In this thesis, we showed that the major causative microorganisms in CAP trigger distinct inflammatory response profiles in the host. While an inflammatory

  19. Mitral valve repair in acquired dextrocardia.

    Science.gov (United States)

    Elmistekawy, Elsayed; Chan, Vincent; Hynes, Mark; Mesana, Thierry

    2015-10-01

    Surgical correction of valvular heart disease in patients with dextrocardia is extremely rare. We report a surgical case of mitral valve repair in a patient with acquired dextrocardia. Successful mitral valve repair was performed through a right lateral thoracotomy. We describe our surgical strategy and summarize the literature. © The Author(s) 2014.

  20. Feasibility study of segmented-parallel-hole collimator for stationary cardiac SPECT

    Energy Technology Data Exchange (ETDEWEB)

    Mao, Yanfei [Utah Univ., Salt Lake City, UT (United States). Center for Advanced Imaging Research (UCAIR); Utah Univ., Salt Lake City, UT (United States). Dept. of Bioengineering; Zeng, Gengsheng L. [Utah Univ., Salt Lake City, UT (United States). Center for Advanced Imaging Research (UCAIR)

    2011-07-01

    The goal of this research is to propose a stationary cardiac SPECT system using the segmented parallel-beam collimator and to perform some computer simulations to test the feasibility. A stationary system has a benefit of acquiring temporally consistent projections. The most challenging issue in building a stationary system is to provide sufficient projection view-angles. A 2-detector, multi-segment collimator system with 14 view-angles over 180 in the transaxial direction and 3 view-angles in the axial directions was designed, where the two detectors are configured 90 apart in an L-shape. We applied the parallel-beam imaging geometry and used segmented parallel-hole collimator to acquire SPECT data. To improve the system condition due to data truncation, we measured more rays within the field-of-view (FOV) of the detector by using a relatively small detector bin-size. In image reconstruction, we used the maximum-likelihood expectation-maximization (ML-EM) algorithm. The criterion for evaluating the system is the summed pixel-to-pixel distance that measures the discrepancy between the 3D gold-standard image and the reconstructed 3D region of interest (ROI) with truncated data. Effects of limited number of view-angles, data truncation, varying body habitus, attenuation, and noise were considered in the system design. As a result, our segmented-parallel-beam stationary cardiac SPECT system is able to acquire sufficient data for cardiac imaging and has a high sensitivity gain. (orig.)

  1. Dictionary Based Segmentation in Volumes

    DEFF Research Database (Denmark)

    Emerson, Monica Jane; Jespersen, Kristine Munk; Jørgensen, Peter Stanley

    2015-01-01

    We present a method for supervised volumetric segmentation based on a dictionary of small cubes composed of pairs of intensity and label cubes. Intensity cubes are small image volumes where each voxel contains an image intensity. Label cubes are volumes with voxelwise probabilities for a given...... label. The segmentation process is done by matching a cube from the volume, of the same size as the dictionary intensity cubes, to the most similar intensity dictionary cube, and from the associated label cube we get voxel-wise label probabilities. Probabilities from overlapping cubes are averaged...... and hereby we obtain a robust label probability encoding. The dictionary is computed from labeled volumetric image data based on weighted clustering. We experimentally demonstrate our method using two data sets from material science – a phantom data set of a solid oxide fuel cell simulation for detecting...

  2. Text Segmentation Using Exponential Models

    CERN Document Server

    Beeferman, D; Lafferty, G D; Beeferman, Doug; Berger, Adam; Lafferty, John

    1997-01-01

    This paper introduces a new statistical approach to partitioning text automatically into coherent segments. Our approach enlists both short-range and long-range language models to help it sniff out likely sites of topic changes in text. To aid its search, the system consults a set of simple lexical hints it has learned to associate with the presence of boundaries through inspection of a large corpus of annotated data. We also propose a new probabilistically motivated error metric for use by the natural language processing and information retrieval communities, intended to supersede precision and recall for appraising segmentation algorithms. Qualitative assessment of our algorithm as well as evaluation using this new metric demonstrate the effectiveness of our approach in two very different domains, Wall Street Journal articles and the TDT Corpus, a collection of newswire articles and broadcast news transcripts.

  3. POST-HOC SEGMENTATION USING MARKETING RESEARCH

    National Research Council Canada - National Science Library

    CRISTINEL CONSTANTIN

    2012-01-01

    .... These methods are K-means cluster and TwoStep cluster, which are available in SPSS system. Such methods could be used in post-hoc market segmentations, which allow companies to find segments with specific behaviours or attitudes...

  4. Ophthalmological manifestations in segmental neurofibromatosis type 1

    OpenAIRE

    Ruggieri, M; PAVONE, P.; Polizzi, A.; Pietro, M. Di; Scuderi, A.; Gabriele, A; Spalice, A.; Iannetti, P

    2004-01-01

    Aims: To study the ophthalmological manifestations in individuals with the typical features of neurofibromatosis type 1 (NF1) circumscribed to one or more body segments, usually referred to as segmental NF1.

  5. Spectral clustering algorithms for ultrasound image segmentation.

    Science.gov (United States)

    Archip, Neculai; Rohling, Robert; Cooperberg, Peter; Tahmasebpour, Hamid; Warfield, Simon K

    2005-01-01

    Image segmentation algorithms derived from spectral clustering analysis rely on the eigenvectors of the Laplacian of a weighted graph obtained from the image. The NCut criterion was previously used for image segmentation in supervised manner. We derive a new strategy for unsupervised image segmentation. This article describes an initial investigation to determine the suitability of such segmentation techniques for ultrasound images. The extension of the NCut technique to the unsupervised clustering is first described. The novel segmentation algorithm is then performed on simulated ultrasound images. Tests are also performed on abdominal and fetal images with the segmentation results compared to manual segmentation. Comparisons with the classical NCut algorithm are also presented. Finally, segmentation results on other types of medical images are shown.

  6. Automatic segmentation of surface EMG images: Improving the estimation of neuromuscular activity.

    Science.gov (United States)

    Vieira, Taian M M; Merletti, Roberto; Mesin, Luca

    2010-08-10

    Surface electromyograms (EMGs) recorded with a couple of electrodes are meant to comprise representative information of the whole muscle activation. Nonetheless, regional variations in neuromuscular activity seem to occur in numerous conditions, from standing to passive muscle stretching. In this study, we show how local activation of skeletal muscles can be automatically tracked from EMGs acquired with a bi-dimensional grid of surface electrodes (a grid of 8 rows and 15 columns was used). Grayscale images were created from simulated and experimental EMGs, filtered and segmented into clusters of activity with the watershed algorithm. The number of electrodes on each cluster and the mean level of neuromuscular activity were used to assess the accuracy of the segmentation of simulated signals. Regardless of the noise level, thickness of fat tissue and acquisition configuration (monopolar or single differential), the segmentation accuracy was above 60%. Accuracy values peaked close to 95% when pixels with intensity below approximately 70% of maximal EMG amplitude in each segmented cluster were excluded. When simulating opposite variations in the activity of two adjacent muscles, watershed segmentation produced clusters of activity consistently centered on each simulated portion of active muscle and with mean amplitude close to the simulated value. Finally, the segmentation algorithm was used to track spatial variations in the activity, within and between medial and lateral gastrocnemius muscles, during isometric plantar flexion contraction and in quiet standing position. In both cases, the regionalization of neuromuscular activity occurred and was consistently identified with the segmentation method. Copyright 2010 Elsevier Ltd. All rights reserved.

  7. An automatic segmentation method of a parameter-adaptive PCNN for medical images.

    Science.gov (United States)

    Lian, Jing; Shi, Bin; Li, Mingcong; Nan, Ziwei; Ma, Yide

    2017-09-01

    Since pre-processing and initial segmentation steps in medical images directly affect the final segmentation results of the regions of interesting, an automatic segmentation method of a parameter-adaptive pulse-coupled neural network is proposed to integrate the above-mentioned two segmentation steps into one. This method has a low computational complexity for different kinds of medical images and has a high segmentation precision. The method comprises four steps. Firstly, an optimal histogram threshold is used to determine the parameter [Formula: see text] for different kinds of images. Secondly, we acquire the parameter [Formula: see text] according to a simplified pulse-coupled neural network (SPCNN). Thirdly, we redefine the parameter V of the SPCNN model by sub-intensity distribution range of firing pixels. Fourthly, we add an offset [Formula: see text] to improve initial segmentation precision. Compared with the state-of-the-art algorithms, the new method achieves a comparable performance by the experimental results from ultrasound images of the gallbladder and gallstones, magnetic resonance images of the left ventricle, and mammogram images of the left and the right breast, presenting the overall metric UM of 0.9845, CM of 0.8142, TM of 0.0726. The algorithm has a great potential to achieve the pre-processing and initial segmentation steps in various medical images. This is a premise for assisting physicians to detect and diagnose clinical cases.

  8. Two-Level Evaluation on Sensor Interoperability of Features in Fingerprint Image Segmentation

    Directory of Open Access Journals (Sweden)

    Ya-Shuo Li

    2012-03-01

    Full Text Available Features used in fingerprint segmentation significantly affect the segmentation performance. Various features exhibit different discriminating abilities on fingerprint images derived from different sensors. One feature which has better discriminating ability on images derived from a certain sensor may not adapt to segment images derived from other sensors. This degrades the segmentation performance. This paper empirically analyzes the sensor interoperability problem of segmentation feature, which refers to the feature’s ability to adapt to the raw fingerprints captured by different sensors. To address this issue, this paper presents a two-level feature evaluation method, including the first level feature evaluation based on segmentation error rate and the second level feature evaluation based on decision tree. The proposed method is performed on a number of fingerprint databases which are obtained from various sensors. Experimental results show that the proposed method can effectively evaluate the sensor interoperability of features, and the features with good evaluation results acquire better segmentation accuracies of images originating from different sensors.

  9. Pectoral muscle segmentation: a review.

    Science.gov (United States)

    Ganesan, Karthikeyan; Acharya, U Rajendra; Chua, Kuang Chua; Min, Lim Choo; Abraham, K Thomas

    2013-04-01

    Mammograms are X-ray images of breasts which are used to detect breast cancer. The pectoral muscle is a mass of tissue on which the breast rests. During routine mammographic screenings, in medio-lateral oblique (MLO) views, the pectoral muscle turns up in the mammograms along with the breast tissues. The pectoral muscle has to be segmented from the mammogram for an effective automated computer aided diagnosis (CAD). This is due to the fact that pectoral muscles have pixel intensities and texture similar to that of breast tissues which can result in awry CAD results. As a result, a lot of effort has been put into the segmentation of pectoral muscles and finding its contour with the breast tissues. To the best of our knowledge, currently there is no definitive literature available which provides a comprehensive review about the current state of research in this area of pectoral muscle segmentation. We try to address this shortcoming by providing a comprehensive review of research papers in this area. A conscious effort has been made to avoid deviating into the area of automated breast cancer detection. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

  10. Semiautomatic Segmentation of Glioma on Mobile Devices

    OpenAIRE

    Ya-Ping Wu; Yu-Song Lin; Wei-Guo Wu; Cong Yang; Jian-Qin Gu; Yan Bai; Mei-Yun Wang

    2017-01-01

    Brain tumor segmentation is the first and the most critical step in clinical applications of radiomics. However, segmenting brain images by radiologists is labor intense and prone to inter- and intraobserver variability. Stable and reproducible brain image segmentation algorithms are thus important for successful tumor detection in radiomics. In this paper, we propose a supervised brain image segmentation method, especially for magnetic resonance (MR) brain images with glioma. This paper uses...

  11. Review of segmentation process in consumer markets

    OpenAIRE

    Veronika Jadczaková

    2013-01-01

    Although there has been a considerable debate on market segmentation over five decades, attention was merely devoted to single stages of the segmentation process. In doing so, stages as segmentation base selection or segments profiling have been heavily covered in the extant literature, whereas stages as implementation of the marketing strategy or market definition were of a comparably lower interest. Capitalizing on this shortcoming, this paper strives to close the gap and provide each step...

  12. Robust Finger Vein ROI Localization Based on Flexible Segmentation

    Directory of Open Access Journals (Sweden)

    Dong Sun Park

    2013-10-01

    Full Text Available Finger veins have been proved to be an effective biometric for personal identification in the recent years. However, finger vein images are easily affected by influences such as image translation, orientation, scale, scattering, finger structure, complicated background, uneven illumination, and collection posture. All these factors may contribute to inaccurate region of interest (ROI definition, and so degrade the performance of finger vein identification system. To improve this problem, in this paper, we propose a finger vein ROI localization method that has high effectiveness and robustness against the above factors. The proposed method consists of a set of steps to localize ROIs accurately, namely segmentation, orientation correction, and ROI detection. Accurate finger region segmentation and correct calculated orientation can support each other to produce higher accuracy in localizing ROIs. Extensive experiments have been performed on the finger vein image database, MMCBNU_6000, to verify the robustness of the proposed method. The proposed method shows the segmentation accuracy of 100%. Furthermore, the average processing time of the proposed method is 22 ms for an acquired image, which satisfies the criterion of a real-time finger vein identification system.

  13. Fully automated lumen segmentation of intracoronary optical coherence tomography images

    Science.gov (United States)

    Athanasiou, L. S.; Rikhtegar, Farhad; Galon, Micheli Zanotti; Lopes, Augusto Celso; Lemos, Pedro Alves; Edelman, Elazer R.

    2017-02-01

    Optical coherence tomography (OCT) provides high-resolution cross-sectional images of arterial luminal morphology. Traditionally lumen segmentation of OCT images is performed manually by expert observers; a laborious, time consuming effort, sensitive to inter-observer variability process. Although several automated methods have been developed, the majority cannot be applied in real time because of processing demands. To address these limitations we propose a new method for rapid image segmentation of arterial lumen borders using OCT images that involves the following steps: 1) OCT image acquisition using the raw OCT data, 2) reconstruction of longitudinal cross-section (LOCS) images from four different acquisition angles, 3) segmentation of the LOCS images and 4) lumen contour construction in each 2D cross-sectional image. The efficiency of the developed method was evaluated using 613 annotated images from 10 OCT pullbacks acquired from 10 patients at the time of coronary arterial interventions. High Pearson's correlation coefficient was obtained when lumen areas detected by the method were compared to areas annotated by experts (r=0.98, R2=0.96); Bland-Altman analysis showed no significant bias with good limits of agreement. The proposed methodology permits reliable border detection especially in lumen areas having artifacts and is faster than traditional techniques making it capable of being used in real time applications. The method is likely to assist in a number of research and clinical applications - further testing in an expanded clinical arena will more fully define the limits and potential of this approach.

  14. Automatic segmentation of diatom images for classification

    NARCIS (Netherlands)

    Jalba, Andrei C.; Wilkinson, Michael H.F.; Roerdink, Jos B.T.M.

    A general framework for automatic segmentation of diatom images is presented. This segmentation is a critical first step in contour-based methods for automatic identification of diatoms by computerized image analysis. We review existing results, adapt popular segmentation methods to this difficult

  15. Melt spinnable elastane fibres from segmented copolyetheresteramids

    NARCIS (Netherlands)

    Niesten, M.C.E.J.; Krijgsman, J.; Gaymans, R.J.

    2001-01-01

    Spandex fibers were obtained by melt spinning segmented copolyetheresteramides with crystallizable aromatic diamide units of uniform length and poly(tetramethyleneoxide) segments. The aramid content was varied from 3 to 22 wt %, and the molecular weight of the polyether segment ranged from 1000 to

  16. Automatic Segmentation of Spanish Speech Into Syllables

    OpenAIRE

    Mariño Acebal, José Bernardo

    1989-01-01

    This paper presents an algorithm that provides a syllabic segmentation of speech following the syllabification rules of Spanish language. The implemented algorithm is divided into two parts. First, an initial segmentation is made based on energy contour, sonority and duration. Second, a fine adjustement of syllable boundaries and final segmentation is made by applying syllabic rules. Peer Reviewed

  17. Mora or syllable? Speech segmentation in Japanese

    NARCIS (Netherlands)

    Otake, T.; Hatano, G.; Cutler, A.; Mehler, J.

    1993-01-01

    Four experiments examined segmentation of spoken Japanese words by native and non-native listeners. Previous studies suggested that language rhythm determines the segmentation unit most natural to native listeners: French has syllabic rhythm, and French listeners use the syllable in segmentation,

  18. Peptide segments in protein-protein interfaces

    Indian Academy of Sciences (India)

    2006-09-06

    Sep 6, 2006 ... In 1000 Å2 of the interface area, contributed by a polypeptide chain, there would be 3.4 segments in homodimers, 5.6 in complexes and 6.3 in crystal contacts. Concomitantly, the segments are the longest (with 8.7 interface residues) in homodimers. Core segments (likely to contribute more towards binding) ...

  19. Market Segmentation from a Behavioral Perspective

    Science.gov (United States)

    Wells, Victoria K.; Chang, Shing Wan; Oliveira-Castro, Jorge; Pallister, John

    2010-01-01

    A segmentation approach is presented using both traditional demographic segmentation bases (age, social class/occupation, and working status) and a segmentation by benefits sought. The benefits sought in this case are utilitarian and informational reinforcement, variables developed from the Behavioral Perspective Model (BPM). Using data from 1,847…

  20. Quick Dissection of the Segmental Bronchi

    Science.gov (United States)

    Nakajima, Yuji

    2010-01-01

    Knowledge of the three-dimensional anatomy of the bronchopulmonary segments is essential for respiratory medicine. This report describes a quick guide for dissecting the segmental bronchi in formaldehyde-fixed human material. All segmental bronchi are easy to dissect, and thus, this exercise will help medical students to better understand the…

  1. Handwriting segmentation of unconstrained Oriya text

    Indian Academy of Sciences (India)

    Indian language; Oriya script; character segmentation; handwriting recognition. 1. Introduction. Segmentation of handwritten text into lines, words and characters is one of the important steps in the handwritten script recognition process. The task of individual text-line segmentation from unconstrained handwritten documents ...

  2. LIFE-STYLE SEGMENTATION WITH TAILORED INTERVIEWING

    NARCIS (Netherlands)

    KAMAKURA, WA; WEDEL, M

    The authors present a tailored interviewing procedure for life-style segmentation. The procedure assumes that a life-style measurement instrument has been designed. A classification of a sample of consumers into life-style segments is obtained using a latent-class model. With these segments, the

  3. The Process of Marketing Segmentation Strategy Selection

    OpenAIRE

    Ionel Dumitru

    2007-01-01

    The process of marketing segmentation strategy selection represents the essence of strategical marketing. We present hereinafter the main forms of the marketing statategy segmentation: undifferentiated marketing, differentiated marketing, concentrated marketing and personalized marketing. In practice, the companies use a mix of these marketing segmentation methods in order to maximize the proffit and to satisfy the consumers’ needs.

  4. Sloped Terrain Segmentation for Autonomous Drive Using Sparse 3D Point Cloud

    Directory of Open Access Journals (Sweden)

    Seoungjae Cho

    2014-01-01

    Full Text Available A ubiquitous environment for road travel that uses wireless networks requires the minimization of data exchange between vehicles. An algorithm that can segment the ground in real time is necessary to obtain location data between vehicles simultaneously executing autonomous drive. This paper proposes a framework for segmenting the ground in real time using a sparse three-dimensional (3D point cloud acquired from undulating terrain. A sparse 3D point cloud can be acquired by scanning the geography using light detection and ranging (LiDAR sensors. For efficient ground segmentation, 3D point clouds are quantized in units of volume pixels (voxels and overlapping data is eliminated. We reduce nonoverlapping voxels to two dimensions by implementing a lowermost heightmap. The ground area is determined on the basis of the number of voxels in each voxel group. We execute ground segmentation in real time by proposing an approach to minimize the comparison between neighboring voxels. Furthermore, we experimentally verify that ground segmentation can be executed at about 19.31 ms per frame.

  5. Sloped terrain segmentation for autonomous drive using sparse 3D point cloud.

    Science.gov (United States)

    Cho, Seoungjae; Kim, Jonghyun; Ikram, Warda; Cho, Kyungeun; Jeong, Young-Sik; Um, Kyhyun; Sim, Sungdae

    2014-01-01

    A ubiquitous environment for road travel that uses wireless networks requires the minimization of data exchange between vehicles. An algorithm that can segment the ground in real time is necessary to obtain location data between vehicles simultaneously executing autonomous drive. This paper proposes a framework for segmenting the ground in real time using a sparse three-dimensional (3D) point cloud acquired from undulating terrain. A sparse 3D point cloud can be acquired by scanning the geography using light detection and ranging (LiDAR) sensors. For efficient ground segmentation, 3D point clouds are quantized in units of volume pixels (voxels) and overlapping data is eliminated. We reduce nonoverlapping voxels to two dimensions by implementing a lowermost heightmap. The ground area is determined on the basis of the number of voxels in each voxel group. We execute ground segmentation in real time by proposing an approach to minimize the comparison between neighboring voxels. Furthermore, we experimentally verify that ground segmentation can be executed at about 19.31 ms per frame.

  6. Quantitative hepatic CT perfusion measurement: Comparison of Couinaud's hepatic segments with dual-source 128-slice CT

    Energy Technology Data Exchange (ETDEWEB)

    Wang, Xuan [The Department of Radiology, Peking Union Medical College Hospital, Dongcheng District, Beijing, 100730 (China); Xue, Hua-dan, E-mail: bjdanna95@hotmail.com [The Department of Radiology, Peking Union Medical College Hospital, Dongcheng District, Beijing, 100730 (China); Jin, Zheng-yu, E-mail: jin_zhengyu@163.com [The Department of Radiology, Peking Union Medical College Hospital, Dongcheng District, Beijing, 100730 (China); Su, Bai-yan; Li, Zhuo; Sun, Hao; Chen, Yu; Liu, Wei [The Department of Radiology, Peking Union Medical College Hospital, Dongcheng District, Beijing, 100730 (China)

    2013-02-15

    Purpose: To compare the quantitative liver computed tomography perfusion (CTP) differences among eight hepatic segments. Materials and methods: This retrospective study was based on 72 acquired upper abdomen CTP scans for detecting suspected pancreas tumor. Patients with primary or metastatic liver tumor, any focal liver lesions except simple cyst (<3 cm in diameter), history of liver operation or splenectomy, evidence of liver cirrhosis or invasion of portal vein were excluded. The final analysis included 50 patients (M:F = 21:29, mean age = 43.2 years, 15–76 years). Arterial liver perfusion (ALP), portal-venous perfusion (PVP), total hepatic perfusion (THP = ALP + PVP), and hepatic perfusion index (HPI) of each hepatic segment were calculated and compared by means of one-way analysis of variance (ANOVA) and the Bonferonni correction method. Results: Compared to hepatic segments 5, 6, 7 and 8, segments 2 and 3 showed a tendency of higher ALPs, lower PVPs, and higher HPIs, most of which were statistically significant (p < 0.05). Hepatic segments 1 and 4 had higher mean values of ALP and HPI and lower mean values of PVP than segments 5, 6, 7 and 8 as well, although no significant differences were detected except for ALP and HPI for liver segments 1 and 7 (p = 0.001 and 0.035 respectively), and ALP for liver segments 1 and 5 (p = 0.039). Higher ALP and HPI were showed in hepatic segment 3 compared to segment 4 (p = 0.000 and 0.000 respectively). No significant differences were found for THP among eight segments. Conclusions: Intra-hepatic perfusion differences exist in normal hepatic parenchyma especially between lateral sector (segments 2 and 3) and right lobe (segments 5, 6, 7 and 8). This might have potential clinical significance in liver-perfusion-related protocol design and result analysis.

  7. Surface properties of poly(ethylene oxide)-based segmented block copolymers with monodisperse hard segments

    NARCIS (Netherlands)

    Husken, D.; Feijen, Jan; Gaymans, R.J.

    2009-01-01

    The surface properties of segmented block copolymers based on poly(ethylene oxide) (PEO) segments and monodisperse crystallizable tetra-amide segments were studied. The monodisperse crystallizable segments (T6T6T) were based on terephthalate (T) and hexamethylenediamine (6). Due to the crystallinity

  8. Segmentation of multifrequency polarimetric radar images to facilitate the inference of geophysical parameters

    Science.gov (United States)

    Burnette, C F.; Dubois, P. C.; Van Zyl, J. J.

    1989-01-01

    An unsupervised clustering algorithm is used to segment multifrequency polarimetric radar data from the NASA/JPL airborne SAR (synthetic aperture radar). Twenty-two parameters are evaluated for their discriminatory capability for each pixel of an image. A clustering analysis is then performed using different subsets of these parameters. This analysis relies on data taken as part of an intensive field experiment during the summer of 1988 in the vicinity of the Pisgah lava flow in the Mojave Desert in southern California. As part of the experiment, extensive ground truth was acquired, including dielectric constant and topography measurements. Segmentation results show good agreement with these measurements.

  9. Acquired portosystemic collaterals: anatomy and imaging

    Energy Technology Data Exchange (ETDEWEB)

    Leite, Andrea Farias de Melo; Mota Junior, Americo, E-mail: andreafariasm@gmail.com [Instituto de Medicina Integral Professor Fernando Figueira de Pernambuco (IMIP), Recife, PE (Brazil); Chagas-Neto, Francisco Abaete [Universidade de Fortaleza (UNIFOR), Fortaleza, CE (Brazil); Teixeira, Sara Reis; Elias Junior, Jorge; Muglia, Valdair Francisco [Universidade de Sao Paulo (FMRP/USP), Ribeirao Preto, SP (Brazil). Faculdade de Medicina

    2016-07-15

    Portosystemic shunts are enlarged vessels that form collateral pathological pathways between the splanchnic circulation and the systemic circulation. Although their causes are multifactorial, portosystemic shunts all have one mechanism in common - increased portal venous pressure, which diverts the blood flow from the gastrointestinal tract to the systemic circulation. Congenital and acquired collateral pathways have both been described in the literature. The aim of this pictorial essay was to discuss the distinct anatomic and imaging features of portosystemic shunts, as well as to provide a robust method of differentiating between acquired portosystemic shunts and similar pathologies, through the use of illustrations and schematic drawings. Imaging of portosystemic shunts provides subclinical markers of increased portal venous pressure. Therefore, radiologists play a crucial role in the identification of portosystemic shunts. Early detection of portosystemic shunts can allow ample time to perform endovascular shunt operations, which can relieve portal hypertension and prevent acute or chronic complications in at-risk patient populations. (author)

  10. Postpartum Acquired Hemophilia. A Case Report

    Directory of Open Access Journals (Sweden)

    María Antonia Cabezas Poblet

    2012-09-01

    Full Text Available Periparturient hemorrhages are the leading cause of extremely serious maternal morbidity and maternal death in Cuba and the world. Acquired Hemophilia A is a rare bleeding disorder characterized by the presence of antibodies against circulating factor VIII (FVIII. We present the case of a 36 years old pregnant woman with term pregnancy and vaginal delivery that suffers from hemorrhagic manifestations in the immediate postpartum secondary to raffia hematoma, requiring blood transfusion. Then she presents a bruise in the right upper limb secondary to stroke that requires surgical repair. The postpartum torpid evolution characterized by sustained bleeding raffia and the surgically treated arm, makes us suspect of the presence of a blood disorder. We observed a decrease in the FVIII factor, which involves the diagnosis of acquired hemophilia and requires treatment with recombinant VIIa factor (FVIIar concentrate and cyclophosphamide. Posterior evolution was favorable. The patient was discharged without sequelae.

  11. Older People's Mobility: Segments, Factors, Trends

    DEFF Research Database (Denmark)

    Haustein, Sonja; Siren, Anu

    2015-01-01

    demographic, health-related, or transport-related factors. This paper reviews these studies and compares the segments of older people that different studies have identified. First, as a result of a systematic comparison, we identified four generic segments: (1) an active car-oriented segment; (2) a car...... people’s travel behaviour. Based on this, we proposed a theoretical model on how the different determinants work together to form the four mobility patterns related to the identified segments. Finally, based on current trends and expectations, we assessed which segments are likely to increase or decrease...

  12. MOVING WINDOW SEGMENTATION FRAMEWORK FOR POINT CLOUDS

    Directory of Open Access Journals (Sweden)

    G. Sithole

    2012-07-01

    Full Text Available As lidar point clouds become larger streamed processing becomes more attractive. This paper presents a framework for the streamed segmentation of point clouds with the intention of segmenting unstructured point clouds in real-time. The framework is composed of two main components. The first component segments points within a window shifting over the point cloud. The second component stitches the segments within the windows together. In this fashion a point cloud can be streamed through these two components in sequence, thus producing a segmentation. The algorithm has been tested on airborne lidar point cloud and some results of the performance of the framework are presented.

  13. Automatic segmentation of vertebrae from radiographs

    DEFF Research Database (Denmark)

    Mysling, Peter; Petersen, Peter Kersten; Nielsen, Mads

    2011-01-01

    Segmentation of vertebral contours is an essential task in the design of automatic tools for vertebral fracture assessment. In this paper, we propose a novel segmentation technique which does not require operator interaction. The proposed technique solves the segmentation problem in a hierarchical...... is constrained by a conditional shape model, based on the variability of the coarse spine location estimates. The technique is evaluated on a data set of manually annotated lumbar radiographs. The results compare favorably to the previous work in automatic vertebra segmentation, in terms of both segmentation...

  14. Community-acquired Clostridium difficile infections.

    Science.gov (United States)

    Penit, A; Bemer, P; Besson, J; Cazet, L; Bourigault, C; Juvin, M-E; Fix, M-H; Bruley des Varannes, S; Boutoille, D; Batard, E; Lepelletier, D

    2016-05-01

    To describe the management and treatment of community-acquired C. difficile infections (CDI) and to evaluate family physicians' (FP) knowledge and practice. Observational study from December 2013 to June 2014. All community-acquired CDI case patients diagnosed in the community or at the University Hospital of Nantes were prospectively included. A questionnaire was mailed to 150 FPs of the area of Nantes. A total of 27 community-acquired CDI case patients were included (incidence: 7.7 case patients/100,000 inhabitants). Mean age was higher among case patients diagnosed at hospital (69years) compared with those diagnosed in the community (44years). Fifteen patients were treated at home (55%) and 22 received a first-line treatment with metronidazole. Only one patient did not receive any prior antibiotic treatment. Amoxicillin-clavulanic acid was mainly prescribed (68%) for respiratory and ENT infections (40%). Twenty-three patients were cured on Day 7 and three had complications (two deaths). Thirty-one of 47 FPs reported to have already managed CDI patients. Twenty-two FPs reported to usually treat patients with uncomplicated CDI at home, 21 to refer patients to a specialist, and three to hospital. Forty-one FPs reported to prescribe a CD toxin test only after recent antibiotic exposure and 30 when patients are at risk of CDI. The incidence and impact of community-acquired CDIs may be underestimated and the unjustified use of antibiotics may promote their emergence. FPs are not used to treat CDIs as more than 50% prefer referring patients to hospital or to a specialist. Copyright © 2016 Elsevier Masson SAS. All rights reserved.

  15. Intrinsic and acquired resistance mechanisms in enterococcus

    Science.gov (United States)

    Hollenbeck, Brian L.; Rice, Louis B.

    2012-01-01

    Enterococci have the potential for resistance to virtually all clinically useful antibiotics. Their emergence as important nosocomial pathogens has coincided with increased expression of antimicrobial resistance by members of the genus. The mechanisms underlying antibiotic resistance in enterococci may be intrinsic to the species or acquired through mutation of intrinsic genes or horizontal exchange of genetic material encoding resistance determinants. This paper reviews the antibiotic resistance mechanisms in Enterococcus faecium and Enterococcus faecalis and discusses treatment options. PMID:23076243

  16. Acquiring Visual Classifiers from Human Imagination

    Science.gov (United States)

    2014-01-01

    Abstract The human mind can remarkably imagine objects that it has never seen, touched, or heard, all in vivid detail. Moti- vated by the desire to... vivid detail. In this paper, we seek to transfer the mental images of what a human can imagine into an object recognition sys- tem. We combine the...Acquiring Visual Classifiers from Human Imagination Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio Torralba Massachusetts Institute of

  17. Laterality of acquired cholesteatoma and handedness.

    Science.gov (United States)

    Migirov, Lela

    2012-08-01

    To investigate a possible contribution of handedness to the development of unilateral acquired cholesteatoma. All patients with unilateral acquired cholesteatoma attending otorhinolaryngology clinic between August 2009 and February 2012 were asked about their handedness. The study group consisted of 237 right-handed and 31 left-handed (11.8%) patients who included 158 male (59%) and 79 female subjects with an age range of 6 to 81 years (mean, 38.6 yr). There were no ambidexters in the present cohort. Overall, unilateral cholesteatoma involved 146 right (54.5%) and 122 left ears (45.5%). Ten of 31 patients (32.3%) with left hand predominance were female subjects. In the unilateral disease, the right ears were affected more frequently in patients with right-hand dominance (59.5%), and the left ears were more frequently affected in the left-handed patients (83.9%); this difference was statistically significant (p handedness were not statistically significant (p = 0.098). The strong relationship has been observed between the patient's handedness, and laterality of the unilateral acquired cholesteatoma may have contribution in the multifactorial process of cholesteatoma formation.

  18. MRI of fetal acquired brain lesions

    Energy Technology Data Exchange (ETDEWEB)

    Prayer, Daniela [Department of Radiodiagnostics, Medical University of Vienna (Austria)]. E-mail: daniela.prayer@meduniwien.ac.at; Brugger, Peter C. [Center of Anatomy and Cell Biology, Medical University of Vienna (Austria); Kasprian, Gregor [Department of Radiodiagnostics, Medical University of Vienna (Austria); Witzani, Linde [Department of Radiodiagnostics, Medical University of Vienna (Austria); Helmer, Hanns [Department of Obstetrics and Gynecology, Medical University of Vienna (Austria); Dietrich, Wolfgang [Department of Neurosurgery, Medical University of Vienna (Austria); Eppel, Wolfgang [Department of Obstetrics and Gynecology, Medical University of Vienna (Austria); Langer, Martin [Department of Obstetrics and Gynecology, Medical University of Vienna (Austria)

    2006-02-15

    Acquired fetal brain damage is suspected in cases of destruction of previously normally formed tissue, the primary cause of which is hypoxia. Fetal brain damage may occur as a consequence of acute or chronic maternal diseases, with acute diseases causing impairment of oxygen delivery to the fetal brain, and chronic diseases interfering with normal, placental development. Infections, metabolic diseases, feto-fetal transfusion syndrome, toxic agents, mechanical traumatic events, iatrogenic accidents, and space-occupying lesions may also qualify as pathologic conditions that initiate intrauterine brain damage. MR manifestations of acute fetal brain injury (such as hemorrhage or acute ischemic lesions) can easily be recognized, as they are hardly different from postnatal lesions. The availability of diffusion-weighted sequences enhances the sensitivity in recognizing acute ischemic lesions. Recent hemorrhages are usually readily depicted on T2 (*) sequences, where they display hypointense signals. Chronic fetal brain injury may be characterized by nonspecific changes that must be attributable to the presence of an acquired cerebral pathology. The workup in suspected acquired fetal brain injury also includes the assessment of extra-CNS organs that may be affected by an underlying pathology. Finally, the placenta, as the organ that mediates oxygen delivery from the maternal circulation to the fetus, must be examined on MR images.

  19. Ultrasound of Inherited vs. Acquired Demyelinating Polyneuropathies

    Science.gov (United States)

    Zaidman, Craig M.; Harms, Matthew B.; Pestronk, Alan

    2013-01-01

    Introduction We compared features of nerve enlargement in inherited and acquired demyelinating neuropathies using ultrasound. Methods We measured median and ulnar nerve cross-sectional areas in proximal and distal regions in 128 children and adults with inherited (Charcot-Marie Tooth-1 (CMT-1) (n=35)) and acquired (Chronic Inflammatory Demyelinating Polyneuropathy (CIDP) (n=55), Guillaine-Barre Syndrome (GBS) (n=21) and Multifocal Motor Neuropathy (MMN) (n=17)) demyelinating neuropathies. We classified nerve enlargement by degree and number of regions affected. We defined patterns of nerve enlargement as: none- no enlargement; mild-nerves enlarged but never more than twice normal; regional- nerves normal at at least one region and enlarged more than twice normal at atleast one region; diffuse- nerves enlarged at all four regions with atleast one region more than twice normal size. Results Nerve enlargement was commonly diffuse (89%) and generally more than twice normal size in CMT-1, but not (pdemyelinating polyneuropathy suggests an acquired etiology. Early treatment in CIDP may impede nerve enlargement. PMID:24101129

  20. Acquired Factor VIII Inhibitors: Three Cases

    Directory of Open Access Journals (Sweden)

    Tay Za Kyaw

    2013-03-01

    Full Text Available Acquired hemophilia A is a rare, but devastating bleeding disorder caused by spontaneous development of autoantibodies directed against coagulation factor VIII. In 40%-50% of patients it is associated with such conditions as the postpartum period, malignancy, use of medications, and autoimmune diseases; however, its cause is unknown in most cases. Acquired hemophilia A should be suspected in patients that present with a coagulation abnormality, and a negative personal and family history of bleeding. Herein we report 3 patients with acquired hemophilia A that had different underlying pathologies, clinical presentations, and therapeutic responses. Factor VIII inhibitor formation in case 1 occurred 6 months after giving birth; underlying disorders were not identified in cases 2 or 3. The bleeding phenotype in these patients’ ranged from no bleeding tendency with isolated prolongation of APTT (activated partial thromboplastin time to severe intramuscular hematoma and hemarthrosis necessitating recombinant activated factor VII infusion and blood components transfusion. Variable responses to immunosuppressive treatment were also observed.

  1. Prevention of hospital-acquired legionellosis.

    Science.gov (United States)

    Lin, Yusen E; Stout, Janet E; Yu, Victor L

    2011-08-01

    The incidence of hospital-acquired legionellosis appears to be increasing. Presence of Legionella in the hospital drinking water is the only risk factor known with certainty to be predictive of risk for contracting Legionnaires' disease. Given the high frequency of infection by nonpneumophila and nonserogroup 1 species, both Legionella respiratory culture on selective media and urine antigen testing should be available in the hospital clinical microbiology laboratory. If the drinking water is contaminated by nonpneumophila or nonserogroup 1 species, Legionella culture on selective media must be available for patients with hospital-acquired pneumonia. The impact of PCR application for environmental water specimen remains to be elucidated. Its advantage is that it is a rapid test and its weakness is its low specificity. Copper-silver ionization disinfection and point-of-use (POU) filters have proved effective. Chlorine dioxide and monochloramine are under evaluation and their ultimate role remains to be elucidated. Routine Legionella cultures in concert with disinfectant levels are the best indicators for ensuring long-term efficacy. Percentage distal site positivity for Legionella in drinking water is accurate in predicting risk. Quantitative criteria (CFU/ml) have proven inaccurate and should be abandoned. Infection control professionals, not healthcare facility personnel or engineers, should play the leadership role in selecting and evaluating the specific disinfection modality. Proactive measures of routine environmental cultures for hospital water and disinfection modalities allow for effective prevention of this high-profile hospital-acquired infection.

  2. Acquired Credit Unions: Drivers of Takeover

    Directory of Open Access Journals (Sweden)

    R. Raymond Sant

    2015-08-01

    Full Text Available In this paper we study acquired credit unions and analyze their financial performance up to six years prior to merger, on a quarterly basis. The primary focus is on balance sheet (asset liability management and profitability variables (return on assets. We find that acquired credit unions during the period 2008 (third quarter to 2014 (first quarter experienced negative return on assets for several quarters prior to their takeover. This was the result of a declining loan portfolio and increasing charge offs. In spite of decreasing lending activity, such credit unions continued to increase their deposits, i.e., adding to their cost base. Due to declining loans, their net interest margin as a proportion of deposits was also in decline. We argue that this is an indicator of poor management ability. Furthermore, our analysis finds that operating expenses were increasing over time, something that has been documented in previous literature also for smaller credit unions and is attributable to lack of economies of scale. The average asset size of the acquired credit unions in our sample is about $22 million just before acquisition. We attribute our findings to poor business strategy followed by such credit unions. We also conclude that signs of trouble are evident up to two years before merger on average and regulatory policy may have to become more proactive to manage the consolidation challenge faced by the credit union industry in general.

  3. Efficient graph-cut tattoo segmentation

    Science.gov (United States)

    Kim, Joonsoo; Parra, Albert; Li, He; Delp, Edward J.

    2015-03-01

    Law enforcement is interested in exploiting tattoos as an information source to identify, track and prevent gang-related crimes. Many tattoo image retrieval systems have been described. In a retrieval system tattoo segmentation is an important step for retrieval accuracy since segmentation removes background information in a tattoo image. Existing segmentation methods do not extract the tattoo very well when the background includes textures and color similar to skin tones. In this paper we describe a tattoo segmentation approach by determining skin pixels in regions near the tattoo. In these regions graph-cut segmentation using a skin color model and a visual saliency map is used to find skin pixels. After segmentation we determine which set of skin pixels are connected with each other that form a closed contour including a tattoo. The regions surrounded by the closed contours are considered tattoo regions. Our method segments tattoos well when the background includes textures and color similar to skin.

  4. Treatment of radiation osteomyelitis of the mandible in a patient with acquired factor VIII inhibitor

    Energy Technology Data Exchange (ETDEWEB)

    Arimoto, Takamasa; Kishimoto, Hiromitsu; Matsumoto, Suwako; Kawanaka, Masao; Urabe, Masahiro; Yoshioka, Wataru [Hyogo Coll. of Medicine, Nishinomiya (Japan)

    1996-07-01

    A case of radiation osteomyelitis of mandible in a 56-year-old man with acquired factor VIII inhibitor is presented. He had undergone radiation therapy for malignant lymphoma of the tonsilar region seven years earlier, and also had received steroids to treat acquired factor VIII inhibitor for a year. On initial examination, he was given a diagnosis of phlegmon of the cheek caused by pericoronitis of the left lower wisdom tooth. To prevent the recurrence of inflammation, the wisdom tooth was extracted carefully, but radiation osteomyelitis occurred in association with a pathological fracture of the condylar head. After mini-pulse therapy with methylpredonisolone, segmental mandibulectomy and reconstruction with a titanium metal plate were performed. The postoperative course was satisfactory with no complications such as bleeding or infection. (author)

  5. Validating an image segmentation program devised for staging lymphoma.

    Science.gov (United States)

    Slattery, Anthony

    2017-10-02

    Hybrid positron emission tomography-computed tomography (PET-CT) imaging systems are an important tool for assessing the progression of lymphoma. PET-CT systems offer the ability to quantitatively assess lymphocytic bone involvement throughout the body. There is no standard methodology for staging lymphoma patients using PET-CT images. Automatic image segmentation algorithms could offer medical specialists a means to evaluate bone involvement from PET-CT images in a consistent manner. To devise and validate an image segmentation program that may assist staging lymphoma by determining the degree of bone involvement based from PET-CT studies. A custom-made program was developed to segment regions-of-interest from images by utilising an enhanced fuzzy clustering technique that incorporates spatial information. The program was subsequently tested on digital and physical phantoms using four different performance metrics before being employed to extract the bony regions of clinical PET-CT images acquired from 248 patients staged for lymphoma. The algorithm was satisfactorily able to delineate regions-of-interest within all phantoms. When applied to the clinical PET-CT images, the algorithm was capable of accurately segmenting bony regions in less than half of the subjects (n = 103). The performance of the algorithm was adversely affected by the presence of oral contrast, metal implants and the poor image quality afforded by low dose CT images in general. Significant changes are necessary before the algorithm can be employed clinically in an unsupervised fashion. However, with further work performed, the algorithm could potentially prove useful for medical specialists staging lymphoma in the future.

  6. 7T-Guided Learning Framework for Improving the Segmentation of 3T MR Images

    Science.gov (United States)

    Bahrami, Khosro; Rekik, Islem; Shi, Feng; Gao, Yaozong

    2016-01-01

    The emerging era of ultra-high-field MRI using 7T MRI scanners dramatically improved sensitivity, image resolution, and tissue contrast when compared to 3T MRI scanners in examining various anatomical structures. The advantages of these high-resolution MR images include higher segmentation accuracy of MRI brain tissues. However, currently, accessibility to 7T MRI scanners remains much more limited than 3T MRI scanners due to technological and economical constraints. Hence, we propose in this work the first learning-based model that improves the segmentation of an input 3T MR image with any conventional segmentation method, through the reconstruction of a higher-quality 7T-like MR image, without actually acquiring an ultra-high-field 7T MRI. Our proposed framework comprises two main steps. First, we estimate a non-linear mapping from 3T MRI to 7T MRI space, using random forest regression model with novel weighting and ensembling schemes, to reconstruct initial 7T-like MR images. Second, we use a group sparse representation with a new pre-selection approach to further refine the 7T-like MR image reconstruction. We evaluated our 7T MRI reconstruction results along with their segmentation results using 13 subjects acquired with both 3T and 7T MR images. For tissue segmentation, we applied two widely used segmentation methods (FAST and SPM) to perform the experiments. Our results showed (1) the improvement of WM, GM and CSF brain tissues segmentation results when guided by reconstructed 7T-like images compared to 3T MR images, and (2) the outperformance of the proposed 7T MRI reconstruction method when compared to other state-of-the-art methods. PMID:28149968

  7. Heterologous Packaging Signals on Segment 4, but Not Segment 6 or Segment 8, Limit Influenza A Virus Reassortment.

    Science.gov (United States)

    White, Maria C; Steel, John; Lowen, Anice C

    2017-06-01

    Influenza A virus (IAV) RNA packaging signals serve to direct the incorporation of IAV gene segments into virus particles, and this process is thought to be mediated by segment-segment interactions. These packaging signals are segment and strain specific, and as such, they have the potential to impact reassortment outcomes between different IAV strains. Our study aimed to quantify the impact of packaging signal mismatch on IAV reassortment using the human seasonal influenza A/Panama/2007/99 (H3N2) and pandemic influenza A/Netherlands/602/2009 (H1N1) viruses. Focusing on the three most divergent segments, we constructed pairs of viruses that encoded identical proteins but differed in the packaging signal regions on a single segment. We then evaluated the frequency with which segments carrying homologous versus heterologous packaging signals were incorporated into reassortant progeny viruses. We found that, when segment 4 (HA) of coinfecting parental viruses was modified, there was a significant preference for the segment containing matched packaging signals relative to the background of the virus. This preference was apparent even when the homologous HA constituted a minority of the HA segment population available in the cell for packaging. Conversely, when segment 6 (NA) or segment 8 (NS) carried modified packaging signals, there was no significant preference for homologous packaging signals. These data suggest that movement of NA and NS segments between the human H3N2 and H1N1 lineages is unlikely to be restricted by packaging signal mismatch, while movement of the HA segment would be more constrained. Our results indicate that the importance of packaging signals in IAV reassortment is segment dependent.IMPORTANCE Influenza A viruses (IAVs) can exchange genes through reassortment. This process contributes to both the highly diverse population of IAVs found in nature and the formation of novel epidemic and pandemic IAV strains. Our study sought to determine the

  8. A contrario line segment detection

    CERN Document Server

    von Gioi, Rafael Grompone

    2014-01-01

    The reliable detection of low-level image structures is an old and still challenging problem in computer vision. This?book leads a detailed tour through the LSD algorithm, a line segment detector designed to be fully automatic. Based on the a contrario framework, the algorithm works efficiently without the need of any parameter tuning. The design criteria are thoroughly explained and the algorithm's good and bad results are illustrated on real and synthetic images. The issues involved, as well as the strategies used, are common to many geometrical structure detection problems and some possible

  9. Interferon Induced Focal Segmental Glomerulosclerosis

    Directory of Open Access Journals (Sweden)

    Yusuf Kayar

    2016-01-01

    Full Text Available Behçet’s disease is an inflammatory disease of unknown etiology which involves recurring oral and genital aphthous ulcers and ocular lesions as well as articular, vascular, and nervous system involvement. Focal segmental glomerulosclerosis (FSGS is usually seen in viral infections, immune deficiency syndrome, sickle cell anemia, and hyperfiltration and secondary to interferon therapy. Here, we present a case of FSGS identified with kidney biopsy in a patient who had been diagnosed with Behçet’s disease and received interferon-alpha treatment for uveitis and presented with acute renal failure and nephrotic syndrome associated with interferon.

  10. A graph-based segmentation algorithm for tree crown extraction using airborne LiDAR data

    Science.gov (United States)

    Strîmbu, Victor F.; Strîmbu, Bogdan M.

    2015-06-01

    This work proposes a segmentation method that isolates individual tree crowns using airborne LiDAR data. The proposed approach captures the topological structure of the forest in hierarchical data structures, quantifies topological relationships of tree crown components in a weighted graph, and finally partitions the graph to separate individual tree crowns. This novel bottom-up segmentation strategy is based on several quantifiable cohesion criteria that act as a measure of belief on weather two crown components belong to the same tree. An added flexibility is provided by a set of weights that balance the contribution of each criterion, thus effectively allowing the algorithm to adjust to different forest structures. The LiDAR data used for testing was acquired in Louisiana, inside the Clear Creek Wildlife management area with a RIEGL LMS-Q680i airborne laser scanner. Three 1 ha forest areas of different conditions and increasing complexity were segmented and assessed in terms of an accuracy index (AI) accounting for both omission and commission. The three areas were segmented under optimum parameterization with an AI of 98.98%, 92.25% and 74.75% respectively, revealing the excellent potential of the algorithm. When segmentation parameters are optimized locally using plot references the AI drops to 98.23%, 89.24%, and 68.04% on average with plot sizes of 1000 m2 and 97.68%, 87.78% and 61.1% on average with plot sizes of 500 m2. More than introducing a segmentation algorithm, this paper proposes a powerful framework featuring flexibility to support a series of segmentation methods including some of those recurring in the tree segmentation literature. The segmentation method may extend its applications to any data of topological nature or data that has a topological equivalent.

  11. Multiple genome segments determine virulence of bluetongue virus serotype 8.

    Science.gov (United States)

    Janowicz, Anna; Caporale, Marco; Shaw, Andrew; Gulletta, Salvatore; Di Gialleonardo, Luigina; Ratinier, Maxime; Palmarini, Massimo

    2015-05-01

    Bluetongue virus (BTV) causes bluetongue, a major hemorrhagic disease of ruminants. In order to investigate the molecular determinants of BTV virulence, we used a BTV8 strain minimally passaged in tissue culture (termed BTV8L in this study) and a derivative strain passaged extensively in tissue culture (BTV8H) in in vitro and in vivo studies. BTV8L was pathogenic in both IFNAR(-/-) mice and in sheep, while BTV8H was attenuated in both species. To identify genetic changes which led to BTV8H attenuation, we generated 34 reassortants between BTV8L and BTV8H. We found that partial attenuation of BTV8L in IFNAR(-/-) mice was achieved by simply replacing genomic segment 2 (Seg2, encoding VP2) or Seg10 (encoding NS3) with the BTV8H homologous segments. Fully attenuated viruses required at least two genome segments from BTV8H, including Seg2 with either Seg1 (encoding VP1), Seg6 (encoding VP6 and NS4), or Seg10 (encoding NS3). Conversely, full reversion of virulence of BTV8H required at least five genomic segments of BTV8L. We also demonstrated that BTV8H acquired an increased affinity for glycosaminoglycan receptors during passaging in cell culture due to mutations in its VP2 protein. Replication of BTV8H was relatively poor in interferon (IFN)-competent primary ovine endothelial cells compared to replication of BTV8L, and this phenotype was determined by several viral genomic segments, including Seg4 and Seg9. This study demonstrated that multiple viral proteins contribute to BTV8 virulence. VP2 and NS3 are primary determinants of BTV pathogenesis, but VP1, VP5, VP4, VP6, and VP7 also contribute to virulence. Bluetongue is one of the major infectious diseases of ruminants, and it is listed as a notifiable disease by the World Organization for Animal Health (OIE). The clinical outcome of BTV infection varies considerably and depends on environmental and host- and virus-specific factors. Over the years, BTV serotypes/strains with various degrees of virulence (including

  12. Multiphase Image Segmentation Using the Deformable Simplicial Complex Method

    DEFF Research Database (Denmark)

    Dahl, Vedrana Andersen; Christiansen, Asger Nyman; Bærentzen, Jakob Andreas

    2014-01-01

    in image segmentation based on deformable models. We show the benefits of using the deformable simplicial complex method for image segmentation by segmenting an image into a known number of segments characterized by distinct mean pixel intensities....

  13. Local appearance features for robust MRI brain structure segmentation across scanning protocols

    DEFF Research Database (Denmark)

    Achterberg, H.C.; Poot, Dirk H. J.; van der Lijn, Fedde

    2013-01-01

    Segmentation of brain structures in magnetic resonance images is an important task in neuro image analysis. Several papers on this topic have shown the benefit of supervised classification based on local appearance features, often combined with atlas-based approaches. These methods require...... a representative annotated training set and therefore often do not perform well if the target image is acquired on a different scanner or with a different acquisition protocol than the training images. Assuming that the appearance of the brain is determined by the underlying brain tissue distribution...... and that brain tissue classification can be performed robustly for images obtained with different protocols, we propose to derive appearance features from brain-tissue density maps instead of directly from the MR images. We evaluated this approach on hippocampus segmentation in two sets of images acquired...

  14. Functionality predictors in acquired brain damage.

    Science.gov (United States)

    Huertas Hoyas, E; Pedrero Pérez, E J; Águila Maturana, A M; García López-Alberca, S; González Alted, C

    2015-01-01

    Most individuals who have survived an acquired brain injury present consequences affecting the sensorimotor, cognitive, affective or behavioural components. These deficits affect the proper performance of daily living activities. The aim of this study is to identify functional differences between individuals with unilateral acquired brain injury using functional independence, capacity, and performance of daily activities. Descriptive cross-sectional design with a sample of 58 people, with right-sided injury (n=14 TBI; n=15 stroke) or left-sided injury (n = 14 TBI, n = 15 stroke), right handed, and with a mean age of 47 years and time since onset of 4 ± 3.65 years. The functional assessment/functional independence measure (FIM/FAM) and the International Classification of Functioning (ICF) were used for the study. The data showed significant differences (P<.000), and a large size effect (dr=0.78) in the cross-sectional estimates, and point to fewer restrictions for patients with a lesion on their right side. The major differences were in the variables 'speaking' and 'receiving spoken messages' (ICF variables), and 'Expression', 'Writing' and 'intelligible speech' (FIM/FAM variables). In the linear regression analysis, the results showed that only 4 FIM/FAM variables, taken together, predict 44% of the ICF variance, which measures the ability of the individual, and up to 52% of the ICF, which measures the individual's performance. Gait alone predicts a 28% of the variance. It seems that individuals with acquired brain injury in the left hemisphere display important differences regarding functional and communication variables. The motor aspects are an important prognostic factor in functional rehabilitation. Copyright © 2013 Sociedad Española de Neurología. Published by Elsevier España, S.L.U. All rights reserved.

  15. Sigmoid plate dehiscence: Congenital or acquired condition?

    Energy Technology Data Exchange (ETDEWEB)

    Liu, Zhaohui, E-mail: lzhtrhos@163.com [Capital Medical University, Beijing Tongren Hospital, No 1 Dong Jiao Min Street, Dongcheng District, Beijing 100730 (China); Li, Jing, E-mail: lijingxbh@yahoo.com.cn [Capital Medical University, Beijing Tongren Hospital, No 1 Dong Jiao Min Street, Dongcheng District, Beijing 100730 (China); Zhao, Pengfei, E-mail: zhaopengf05@163.com [Capital Medical University, Beijing Friendship Hospital, No 95 Yongan Road, Xicheng District, Beijing 100050 (China); Lv, Han, E-mail: chrislvhan@126.com [Capital Medical University, Beijing Friendship Hospital, No 95 Yongan Road, Xicheng District, Beijing 100050 (China); Dong, Cheng, E-mail: derc007@sina.com [Capital Medical University, Beijing Friendship Hospital, No 95 Yongan Road, Xicheng District, Beijing 100050 (China); Liu, Wenjuan, E-mail: wenjuanliu@163.com [Jining No. 1 People' s Hospital, No. 6 Health Street, Jining 272100 (China); Wang, Zhenchang, E-mail: cjr.wzhch@vip.163.com [Capital Medical University, Beijing Friendship Hospital, No 95 Yongan Road, Xicheng District, Beijing 100050 (China)

    2015-05-15

    Highlights: • CT with multiplanar reformations can accurately display the sigmoid platet dehiscence. • The prevalence of sigmoid plate dehiscence was no significant difference among different age groups. • The size of sigmoid plate bony defects were not statistically different among different age groups. • The sigmoid plate dehiscence is more commonly a congenital than an acquired condition. - Abstract: Background and purpose: The imaging features of sigmoid plate dehiscence-induced pulsatile tinnitus have been presented. The origin of the sigmoid plate dehiscence, however, remains unclear. Our aim was to assess the prevalence and extent of sigmoid plate dehiscence on computed tomography (CT) images in multiple age groups to determine whether this condition is more likely to be congenital or acquired. Materials and methods: We retrospectively reviewed contrast-enhanced CT images of sigmoid plates of temporal bones in 504 patients. Each temporal bone was characterized as normal or dehiscent. Patients were then subcategorized into four age groups, and the prevalence and extent of dehiscent sigmoid plates in each group were calculated and compared. Results: Overall, 80 patients had sigmoid plate dehiscence, nine of whom had it bilaterally. In successively older age groups, the prevalences of sigmoid plate dehiscence were 18.9%, 20.1%, 14.5%, and 12.7%, respectively. Respective average anteroposterior bony defect diameters were 3.7 ± 1.7, 3.0 ± 1.3, 3.1 ± 1.5, and 3.0 ± 1.1 mm. Respective average vertical bony defect diameters were 3.6 ± 2.3, 2.6 ± 1.2, 3.2 ± 1.5, and 3.0 ± 1.7 mm. The prevalence and extent of sigmoid plate dehiscence were not statistically different among the four age groups. Conclusions: The similar radiologic prevalence and extent of dehiscent sigmoid plates among the age groups suggest that the dehiscence is more commonly a congenital than an acquired condition.

  16. Acquired prosopagnosia without word recognition deficits.

    Science.gov (United States)

    Susilo, Tirta; Wright, Victoria; Tree, Jeremy J; Duchaine, Bradley

    2015-01-01

    It has long been suggested that face recognition relies on specialized mechanisms that are not involved in visual recognition of other object categories, including those that require expert, fine-grained discrimination at the exemplar level such as written words. But according to the recently proposed many-to-many theory of object recognition (MTMT), visual recognition of faces and words are carried out by common mechanisms [Behrmann, M., & Plaut, D. C. ( 2013 ). Distributed circuits, not circumscribed centers, mediate visual recognition. Trends in Cognitive Sciences, 17, 210-219]. MTMT acknowledges that face and word recognition are lateralized, but posits that the mechanisms that predominantly carry out face recognition still contribute to word recognition and vice versa. MTMT makes a key prediction, namely that acquired prosopagnosics should exhibit some measure of word recognition deficits. We tested this prediction by assessing written word recognition in five acquired prosopagnosic patients. Four patients had lesions limited to the right hemisphere while one had bilateral lesions with more pronounced lesions in the right hemisphere. The patients completed a total of seven word recognition tasks: two lexical decision tasks and five reading aloud tasks totalling more than 1200 trials. The performances of the four older patients (3 female, age range 50-64 years) were compared to those of 12 older controls (8 female, age range 56-66 years), while the performances of the younger prosopagnosic (male, 31 years) were compared to those of 14 younger controls (9 female, age range 20-33 years). We analysed all results at the single-patient level using Crawford's t-test. Across seven tasks, four prosopagnosics performed as quickly and accurately as controls. Our results demonstrate that acquired prosopagnosia can exist without word recognition deficits. These findings are inconsistent with a key prediction of MTMT. They instead support the hypothesis that face

  17. A scale space based algorithm for automated segmentation of single shot tagged MRI of shearing deformation.

    Science.gov (United States)

    Sprengers, Andre M J; Caan, Matthan W A; Moerman, Kevin M; Nederveen, Aart J; Lamerichs, Rolf M; Stoker, Jaap

    2013-04-01

    This study proposes a scale space based algorithm for automated segmentation of single-shot tagged images of modest SNR. Furthermore the algorithm was designed for analysis of discontinuous or shearing types of motion, i.e. segmentation of broken tag patterns. The proposed algorithm utilises non-linear scale space for automatic segmentation of single-shot tagged images. The algorithm's ability to automatically segment tagged shearing motion was evaluated in a numerical simulation and in vivo. A typical shearing deformation was simulated in a Shepp-Logan phantom allowing for quantitative evaluation of the algorithm's success rate as a function of both SNR and the amount of deformation. For a qualitative in vivo evaluation tagged images showing deformations in the calf muscles and eye movement in a healthy volunteer were acquired. Both the numerical simulation and the in vivo tagged data demonstrated the algorithm's ability for automated segmentation of single-shot tagged MR provided that SNR of the images is above 10 and the amount of deformation does not exceed the tag spacing. The latter constraint can be met by adjusting the tag delay or the tag spacing. The scale space based algorithm for automatic segmentation of single-shot tagged MR enables the application of tagged MR to complex (shearing) deformation and the processing of datasets with relatively low SNR.

  18. NeuroBlocks – Visual Tracking of Segmentation and Proofreading for Large Connectomics Projects

    KAUST Repository

    Al-Awami, Ali

    2015-08-12

    In the field of connectomics, neuroscientists acquire electron microscopy volumes at nanometer resolution in order to reconstruct a detailed wiring diagram of the neurons in the brain. The resulting image volumes, which often are hundreds of terabytes in size, need to be segmented to identify cell boundaries, synapses, and important cell organelles. However, the segmentation process of a single volume is very complex, time-intensive, and usually performed using a diverse set of tools and many users. To tackle the associated challenges, this paper presents NeuroBlocks, which is a novel visualization system for tracking the state, progress, and evolution of very large volumetric segmentation data in neuroscience. NeuroBlocks is a multi-user web-based application that seamlessly integrates the diverse set of tools that neuroscientists currently use for manual and semi-automatic segmentation, proofreading, visualization, and analysis. NeuroBlocks is the first system that integrates this heterogeneous tool set, providing crucial support for the management, provenance, accountability, and auditing of large-scale segmentations. We describe the design of NeuroBlocks, starting with an analysis of the domain-specific tasks, their inherent challenges, and our subsequent task abstraction and visual representation. We demonstrate the utility of our design based on two case studies that focus on different user roles and their respective requirements for performing and tracking the progress of segmentation and proofreading in a large real-world connectomics project.

  19. Subject-specific body segment parameter estimation using 3D photogrammetry with multiple cameras

    Science.gov (United States)

    Morris, Mark; Sellers, William I.

    2015-01-01

    Inertial properties of body segments, such as mass, centre of mass or moments of inertia, are important parameters when studying movements of the human body. However, these quantities are not directly measurable. Current approaches include using regression models which have limited accuracy: geometric models with lengthy measuring procedures or acquiring and post-processing MRI scans of participants. We propose a geometric methodology based on 3D photogrammetry using multiple cameras to provide subject-specific body segment parameters while minimizing the interaction time with the participants. A low-cost body scanner was built using multiple cameras and 3D point cloud data generated using structure from motion photogrammetric reconstruction algorithms. The point cloud was manually separated into body segments, and convex hulling applied to each segment to produce the required geometric outlines. The accuracy of the method can be adjusted by choosing the number of subdivisions of the body segments. The body segment parameters of six participants (four male and two female) are presented using the proposed method. The multi-camera photogrammetric approach is expected to be particularly suited for studies including populations for which regression models are not available in literature and where other geometric techniques or MRI scanning are not applicable due to time or ethical constraints. PMID:25780778

  20. Psychological issues in acquired facial trauma

    Directory of Open Access Journals (Sweden)

    De Sousa Avinash

    2010-01-01

    Full Text Available The face is a vital component of one′s personality and body image. There are a vast number of variables that influence recovery and rehabilitation from acquired facial trauma many of which are psychological in nature. The present paper presents the various psychological issues one comes across in facial trauma patients. These may range from body image issues to post-traumatic stress disorder symptoms accompanied by anxiety and depression. Issues related to facial and body image affecting social life and general quality of life are vital and the plastic surgeon should be aware of such issues and competent to deal with them in patients and families.

  1. Mononeuritis multiplex in acquired amegakaryocytic thrombocytopenia

    Directory of Open Access Journals (Sweden)

    Firosh Khan

    2015-01-01

    Full Text Available Mononeuritis multiplex involves inflammation of two or more nerves, typically in unrelated parts of the body. It has been well described in bleeding disorders like idiopathic thrombocytopenic purpura (ITP and Hemophilia. Acquired amegakaryocytic thrombocytopenia (AAT is a bleeding diathesis characterized by thrombocytopenia but with reduced number of megakaryocytes in the bone marrow, as against ITP. Though AAT is a well described entity, peripheral nervous system manifestations have not been described so far. We report a young man who has presented with bleeding diathesis and mononeuritis multiplex due to AAT. The mechanism of development of mononeuritis multiplex and treatment options are discussed.

  2. Acquired Methemoglobinemia - A Sporadic Holi Disaster.

    Science.gov (United States)

    Masavkar, Sanjeevani Satish; Mauskar, Anupama; Patwardhan, Gaurav; Bhat, Vasudeva; Manglani, Mamta V

    2017-06-15

    To study clinical profile and outcome in patients with methemoglobinemia following exposure to toxic colors during Holi festival. This retrospective study included 112 children (5 to 12 years) admitted with methemoglobinemia after playing Holi. Clinical and treatment details were reviewed. The common symptoms were giddiness, vomiting and headache. Treatment included thorough skin wash, intravenous fluid and methylene blue in 111 children. Age 7-9 and > 11 years, vomiting, giddiness, cyanosis, PaO2 < 80 mm Hg and oxygen saturation < 95% were associated with higher need for methylene blue. All children had a good outcome. Timely diagnosis and management of acquired methemoglobinemia can save lives.

  3. [Acquired immunodeficiency syndrome in pediatric patients].

    Science.gov (United States)

    Molina Moguel, J L; Ruiz Illezcas, R; Forsbach Sánchez, S; Carreño Alvarez, S; Picco Díaz, I

    1990-12-01

    The object of this study was to determine how many of the patients treated at the Pediatric Odontology Clinic, a branch of the Maxillo-Facial Surgery Service at the Veinte de Noviembre Regional Hospital, ISSSTE, are VIH-positive of show serious manifestations of Acquired Immuno-Deficiency Syndrome (AIDS). For such purpose, 100 pediatric patients suffering from different systemic or local diseases were evaluated, the most common being hematological alterations. Results evidenced the presence of VIH in the blood of five of the pediatric subjects, all suffering from Hemophilia.

  4. PETSTEP: Generation of synthetic PET lesions for fast evaluation of segmentation methods

    Science.gov (United States)

    Berthon, Beatrice; Häggström, Ida; Apte, Aditya; Beattie, Bradley J.; Kirov, Assen S.; Humm, John L.; Marshall, Christopher; Spezi, Emiliano; Larsson, Anne; Schmidtlein, C. Ross

    2016-01-01

    Purpose This work describes PETSTEP (PET Simulator of Tracers via Emission Projection): a faster and more accessible alternative to Monte Carlo (MC) simulation generating realistic PET images, for studies assessing image features and segmentation techniques. Methods PETSTEP was implemented within Matlab as open source software. It allows generating three-dimensional PET images from PET/CT data or synthetic CT and PET maps, with user-drawn lesions and user-set acquisition and reconstruction parameters. PETSTEP was used to reproduce images of the NEMA body phantom acquired on a GE Discovery 690 PET/CT scanner, and simulated with MC for the GE Discovery LS scanner, and to generate realistic Head and Neck scans. Finally the sensitivity (S) and Positive Predictive Value (PPV) of three automatic segmentation methods were compared when applied to the scanner-acquired and PETSTEP-simulated NEMA images. Results PETSTEP produced 3D phantom and clinical images within 4 and 6 min respectively on a single core 2.7 GHz computer. PETSTEP images of the NEMA phantom had mean intensities within 2% of the scanner-acquired image for both background and largest insert, and 16% larger background Full Width at Half Maximum. Similar results were obtained when comparing PETSTEP images to MC simulated data. The S and PPV obtained with simulated phantom images were statistically significantly lower than for the original images, but led to the same conclusions with respect to the evaluated segmentation methods. Conclusions PETSTEP allows fast simulation of synthetic images reproducing scanner-acquired PET data and shows great promise for the evaluation of PET segmentation methods. PMID:26321409

  5. Discriminative parameter estimation for random walks segmentation.

    Science.gov (United States)

    Baudin, Pierre-Yves; Goodman, Danny; Kumrnar, Puneet; Azzabou, Noura; Carlier, Pierre G; Paragios, Nikos; Kumar, M Pawan

    2013-01-01

    The Random Walks (RW) algorithm is one of the most efficient and easy-to-use probabilistic segmentation methods. By combining contrast terms with prior terms, it provides accurate segmentations of medical images in a fully automated manner. However, one of the main drawbacks of using the RW algorithm is that its parameters have to be hand-tuned. we propose a novel discriminative learning framework that estimates the parameters using a training dataset. The main challenge we face is that the training samples are not fully supervised. Specifically, they provide a hard segmentation of the images, instead of a probabilistic segmentation. We overcome this challenge by treating the optimal probabilistic segmentation that is compatible with the given hard segmentation as a latent variable. This allows us to employ the latent support vector machine formulation for parameter estimation. We show that our approach significantly outperforms the baseline methods on a challenging dataset consisting of real clinical 3D MRI volumes of skeletal muscles.

  6. CDIS: Circle Density Based Iris Segmentation

    Science.gov (United States)

    Gupta, Anand; Kumari, Anita; Kundu, Boris; Agarwal, Isha

    Biometrics is an automated approach of measuring and analysing physical and behavioural characteristics for identity verification. The stability of the Iris texture makes it a robust biometric tool for security and authentication purposes. Reliable Segmentation of Iris is a necessary precondition as an error at this stage will propagate into later stages and requires proper segmentation of non-ideal images having noises like eyelashes, etc. Iris Segmentation work has been done earlier but we feel it lacks in detecting iris in low contrast images, removal of specular reflections, eyelids and eyelashes. Hence, it motivates us to enhance the said parameters. Thus, we advocate a new approach CDIS for Iris segmentation along with new algorithms for removal of eyelashes, eyelids and specular reflections and pupil segmentation. The results obtained have been presented using GAR vs. FAR graphs at the end and have been compared with prior works related to segmentation of iris.

  7. Intelligent multi-spectral IR image segmentation

    Science.gov (United States)

    Lu, Thomas; Luong, Andrew; Heim, Stephen; Patel, Maharshi; Chen, Kang; Chao, Tien-Hsin; Chow, Edward; Torres, Gilbert

    2017-05-01

    This article presents a neural network based multi-spectral image segmentation method. A neural network is trained on the selected features of both the objects and background in the longwave (LW) Infrared (IR) images. Multiple iterations of training are performed until the accuracy of the segmentation reaches satisfactory level. The segmentation boundary of the LW image is used to segment the midwave (MW) and shortwave (SW) IR images. A second neural network detects the local discontinuities and refines the accuracy of the local boundaries. This article compares the neural network based segmentation method to the Wavelet-threshold and Grab-Cut methods. Test results have shown increased accuracy and robustness of this segmentation scheme for multi-spectral IR images.

  8. Hierarchical image segmentation for learning object priors

    Energy Technology Data Exchange (ETDEWEB)

    Prasad, Lakshman [Los Alamos National Laboratory; Yang, Xingwei [TEMPLE UNIV.; Latecki, Longin J [TEMPLE UNIV.; Li, Nan [TEMPLE UNIV.

    2010-11-10

    The proposed segmentation approach naturally combines experience based and image based information. The experience based information is obtained by training a classifier for each object class. For a given test image, the result of each classifier is represented as a probability map. The final segmentation is obtained with a hierarchial image segmentation algorithm that considers both the probability maps and the image features such as color and edge strength. We also utilize image region hierarchy to obtain not only local but also semi-global features as input to the classifiers. Moreover, to get robust probability maps, we take into account the region context information by averaging the probability maps over different levels of the hierarchical segmentation algorithm. The obtained segmentation results are superior to the state-of-the-art supervised image segmentation algorithms.

  9. Segmental neurofibromatosis: report of two cases.

    Science.gov (United States)

    Sezer, Engin; Senayli, Atilla; Sezer, Taner; Bicakci, Unal

    2006-09-01

    Neurofibromatosis (NF), or von Recklinghausen's disease is comprised of a heterogeneous group of disorders, primarily affecting the skin, soft tissue, bone and central nervous system. Segmental neurofibromatosis (SN) is a rare form of NF, characterized by "café-au-lait" macules, freckles, and/or neurofibromas limited to a body segment. There are approximately 150 cases reported in the English published work. Bilateral segmental neurofibromatosis is a rare subtype of SN, manifesting with bilateral involvement of the body segments. Herein, we report two patients with SN; one associated with pectus excavatum, and the other case diagnosed as bilateral segmental neurofibromatosis. Asymmetry of the skull and thorax, kyphoscoliosis and segmental bone hypertrophy of the leg are skeletal abnormalities previously reported with SN. To the best of our knowledge, this is the first case of SN in association with pectus excavatum.

  10. Hierarchical photo stream segmentation using context

    Science.gov (United States)

    Gong, Bo; Jain, Ramesh

    2008-01-01

    Photo stream segmentation is to segment photo streams into groups, each of which corresponds to an event. Photo stream segmentation can be done with or without prior knowledge of event structure. In this paper, we study the problem by assuming that there is no a priori event model available. Although both context and content information are important for photo stream segmentation, we focus on investigating the usage of context information in this work. We consider different information components of context such as time, location, and optical setting for inexpensive segmentation of photo streams from common users of modern digital camera. As events are hierarchical, we propose to segment photo stream using hierarchical mixture model. We compare the generated hierarchy with that created by users to see how well results can be obtained without knowing the prior event model. We experimented with about 3000 photos from amateur photographers to study the efficacy of the approach for these context information components.

  11. Active citizenship and acquired neurological communication difficulty.

    Science.gov (United States)

    Mackenzie, Catherine; Bennett, Amanda; Cairney, Melissa

    2011-01-01

    People with communication impairments may face barriers to civic participation, with resulting marginalisation of individuals who wish to be actively involved. The investigation aimed to explore the experience of civically engaged adults with acquired neurological communication difficulties. Six people with acquired neurological communication difficulties were interviewed. Discussion included the definition of active citizenship, their civic involvement, motivations, related barriers and facilitators. Qualitative analysis was undertaken, with data categorised, coded and examined for recurring themes. All participants were active in disability-related organisations and four undertook wider civic roles. Motivations included activity being out with the home and wanting to effect change for themselves and the populations they represented. Disability group meetings were more positive experiences than broader community activities, which were associated with fatigue and frustration, commonly resulting from communication difficulties and unmet support needs. All participants identified a need for professional and public educational about disability and communication and made recommendations on content, methods and priority groups. For these participants civic engagement had positive and negative dimensions. Speech and language therapists should promote reduction of the barriers that impede the active citizenship rights of people with communication support needs. Civic participation may be a relevant measure of outcome in communication impaired populations.

  12. Asian elephants acquire inaccessible food by blowing.

    Science.gov (United States)

    Mizuno, Kaori; Irie, Naoko; Hiraiwa-Hasegawa, Mariko; Kutsukake, Nobuyuki

    2016-01-01

    Many animals acquire otherwise inaccessible food with the aid of sticks and occasionally water. As an exception, some reports suggest that elephants manipulate breathing through their trunks to acquire inaccessible food. Here, we report on two female Asian elephants (Elephas maximus) in Kamine Zoo, Japan, who regularly blew to drive food within their reach. We experimentally investigated this behaviour by placing foods in inaccessible places. The elephants blew the food until it came within accessible range. Once the food was within range, the elephants were increasingly less likely to blow as the distance to the food became shorter. One subject manipulated her blowing duration based on food distance: longer when the food was distant. These results suggest that the elephants used their breath to achieve goals: that is, they used it not only to retrieve the food but also to fine-tune the food position for easy grasping. We also observed individual differences in the elephants' aptitude for this technique, which altered the efficiency of food acquisition. Thus, we added a new example of spontaneous behaviour for achieving a goal in animals. The use of breath to drive food is probably unique to elephants, with their dexterous trunks and familiarity with manipulating the act of blowing, which is commonly employed for self-comfort and acoustic communication.

  13. Acquired pulmonary artery stenosis in four dogs.

    Science.gov (United States)

    Scansen, Brian A; Schober, Karsten E; Bonagura, John D; Smeak, Daniel D

    2008-04-15

    4 dogs with acquired pulmonary artery stenosis (PAS) were examined for various clinical signs. One was a mixed-breed dog with congenital valvular PAS that subsequently developed peripheral PAS, one was a Golden Retriever with pulmonary valve fibrosarcoma, one was a Pembroke Welsh Corgi in which the left pulmonary artery had inadvertently been ligated during surgery for correction of patent ductus arteriosus, and one was a Boston Terrier with a heart-base mass compressing the pulmonary arteries. All 4 dogs were evaluated with 2-dimensional and Doppler echocardiography to characterize the nature and severity of the stenoses; other diagnostic tests were also performed. The mixed-breed dog with valvular and peripheral PAS was euthanized, surgical resection of the pulmonic valve mass was performed in the Golden Retriever, corrective surgery was performed on the Pembroke Welsh Corgi with left pulmonary artery ligation, and the Boston Terrier with the heart-base mass was managed medically. Acquired PAS in dogs may manifest as a clinically silent heart murmur, syncope, or right-sided heart failure. The diagnosis is made on the basis of imaging findings, particularly results of 2-dimensional and Doppler echocardiography. Treatment may include surgical, interventional, or medical modalities and is targeted at resolving the inciting cause.

  14. Electrical Signaling, Photosynthesis and Systemic Acquired Acclimation

    Directory of Open Access Journals (Sweden)

    Magdalena Szechyńska-Hebda

    2017-09-01

    Full Text Available Electrical signaling in higher plants is required for the appropriate intracellular and intercellular communication, stress responses, growth and development. In this review, we have focus on recent findings regarding the electrical signaling, as a major regulator of the systemic acquired acclimation (SAA and the systemic acquired resistance (SAR. The electric signaling on its own cannot confer the required specificity of information to trigger SAA and SAR, therefore, we have also discussed a number of other mechanisms and signaling systems that can operate in combination with electric signaling. We have emphasized the interrelation between ionic mechanism of electrical activity and regulation of photosynthesis, which is intrinsic to a proper induction of SAA and SAR. In a special way, we have summarized the role of non-photochemical quenching and its regulator PsbS. Further, redox status of the cell, calcium and hydraulic waves, hormonal circuits and stomatal aperture regulation have been considered as components of the signaling. Finally, a model of light-dependent mechanisms of electrical signaling propagation has been presented together with the systemic regulation of light-responsive genes encoding both, ion channels and proteins involved in regulation of their activity. Due to space limitations, we have not addressed many other important aspects of hormonal and ROS signaling, which were presented in a number of recent excellent reviews.

  15. Tokyo Medical College Test in acquired dyschromatopsia.

    Science.gov (United States)

    Pinckers, A

    1980-01-01

    In order to find a successor for the Hardy, Rand and Rittler (AOH-R-R) test the author made a comparison between the AOH-R-R and the Tokyo Medical College (TMC) tests in acquired dyschromatopsia. The diagnosis of the TMC type of a red-green defect is often in contradiction with the results of other color vision tests. In grading the severity of a red-green defect the TMC classification is shifted with regard to the AOH-R-R classification. A corrected grading in better agreement with the AOH-R-R classification is proposed. The TMC blue-yellow screening plates are more sensitive than the AOH-R-R blue-yellow screening plates. A TMC (supermild) blue-yellow defect in general corresponds to blue-yellow defects detected by FM 100 Hue and its derivatives. In the study of acquired dyschromatopsia, it is necessary to use a test battery. In our opinion the TMC can be used in such a test battery although it is not a real successor to the AOH-R-R. If ever the AOH-R-R is reprinted, the blue-yellow plates should be extended to a 'supermild' degree as are the TMC blue-yellow plates.

  16. Cardiomyopathy in Congenital and Acquired Generalized Lipodystrophy

    Science.gov (United States)

    Lupsa, Beatrice C.; Sachdev, Vandana; Lungu, Andreea O.; Rosing, Douglas R.; Gorden, Phillip

    2011-01-01

    Lipodystrophy is a rare disorder characterized by loss of adipose tissue and low leptin levels. This condition is characterized by severe dyslipidemia, insulin resistance, diabetes mellitus, and steatohepatitis. Another phenotypic feature that occurs with considerable frequency in generalized lipodystrophy is cardiomyopathy. We report here the cardiac findings in a cohort of patients with generalized congenital and acquired lipodystrophy, and present a literature review of the cardiac findings in patients with generalized lipodystrophy. We studied 44 patients with generalized congenital and acquired lipodystrophy, most of them enrolled in a clinical trial of leptin therapy. Patients underwent electrocardiograms and transthoracic echocardiograms to evaluate their cardiac status. We followed these patients for an extended time period, some of them up to 8 years. Evaluation of our cohort of patients with generalized lipodystrophy shows that cardiomyopathy is a frequent finding in this population. Most of our patients had hypertrophic cardiomyopathy, and only a small number had features of dilated cardiomyopathy. Hypertrophic cardiomyopathy was more frequent in patients with seipin mutation, a finding consistent with the literature. The underlying mechanism for cardiomyopathy in lipodystrophy is not clear. Extreme insulin resistance and the possibility of a “lipotoxic cardiomyopathy” should be entertained as possible explanations. PMID:20616664

  17. Living with acquired dysarthria: the speaker's perspective.

    Science.gov (United States)

    Walshe, Margaret; Miller, Nick

    2011-01-01

    To explore the speaker's experience of living with acquired chronic dysarthria. Ten people with dysarthria and progressive neurological illness and one person with dysarthria following stroke were interviewed in depth about their experience of living with dysarthria. They covered a range of ages, time post-onset and dysarthria severity levels. Interviews were transcribed and analysed using Framework Method of Analysis. Acquired dysarthria can negatively impact on speakers' lives. Findings here suggest that the experience of living with dysarthria is highly individual. There were some common perspectives. Six key themes emerged from interviews: 'dysarthria as only part of the picture', 'communication has changed', 'people treat me differently', 'dysarthria resulting in negative emotions', 'barriers to communication' and 'life is different now. The impact of co-existing physical disability and the need to consider dysarthria in context was emphasised by all participants. Findings re-emphasise the need to consider the individual experience in clinical practice. The findings provide direction for assessment and intervention in the area.

  18. Classifier combination for wafer segmentation

    Science.gov (United States)

    Bourgeat, Pierrick T.; Meriaudeau, Fabrice

    2005-02-01

    In the last decade, the accessibility of inexpensive and powerful computers has allowed true digital holography to be used for industrial inspection. This technique allows capturing a complex image of a scene (i.e. containing magnitude and phase), and reconstructing the phase and magnitude information. Digital holograms give a new dimension to texture analysis since the topology information can be used as an additional way to extract features. This new technique can be used to extend previous work on image segmentation of patterned wafers for defect detection. This paper presents a combination of features obtained from Gabor filters on different complex images. The combination enables to cope with the intensity variations occurring during the holography and provides final results which are independent from the selected training samples.

  19. Benchmarking of Remote Sensing Segmentation Methods

    Czech Academy of Sciences Publication Activity Database

    Mikeš, Stanislav; Haindl, Michal; Scarpa, G.; Gaetano, R.

    2015-01-01

    Roč. 8, č. 5 (2015), s. 2240-2248 ISSN 1939-1404 R&D Projects: GA ČR(CZ) GA14-10911S Institutional support: RVO:67985556 Keywords : benchmark * remote sensing segmentation * unsupervised segmentation * supervised segmentation Subject RIV: BD - Theory of Information Impact factor: 2.145, year: 2015 http://library.utia.cas.cz/separaty/2015/RO/haindl-0445995.pdf

  20. Automatic segmentation of speech into syllables

    OpenAIRE

    Mertens, Piet

    1987-01-01

    A multiple pass procedure for the automatic segmentation of syllabic units is described which involves (1) a broad segmentation triggered by the dips in the intensity curve of band-pass filtered speech, (2) a further segmentation on the basis of the shape of the curve, and (3) the readjustment of the syllabic nucleus within syllable boundaries, based on the intensity of the unfiltered speech.

  1. An algorithm for segmenting range imagery

    Energy Technology Data Exchange (ETDEWEB)

    Roberts, R.S.

    1997-03-01

    This report describes the technical accomplishments of the FY96 Cross Cutting and Advanced Technology (CC&AT) project at Los Alamos National Laboratory. The project focused on developing algorithms for segmenting range images. The image segmentation algorithm developed during the project is described here. In addition to segmenting range images, the algorithm can fuse multiple range images thereby providing true 3D scene models. The algorithm has been incorporated into the Rapid World Modelling System at Sandia National Laboratory.

  2. Segmentation in the brazilian labor market

    OpenAIRE

    Botelho, Fernando; Ponczek, Vladimir Pinheiro

    2007-01-01

    This paper measures the degree of segmentation in the brazilian labor market. Controlling for observable and unobservable characteristics, workers earn more in the formal sector, which supports the segmentation hypothesis. We break down the degree of segmentation by socio-economic attributes to identify the groups where this phenomenon is more prevalent. We investigate the robustness of our findings to the inclusion of self-employed individuals, and apply a two-stage panel probit model using ...

  3. Segmenting Consumers Based on Luxury Value Perceptions

    OpenAIRE

    Bahar Teimourpour; Kambiz Heidarzadeh Hanzaee; Babak Teimourpour

    2013-01-01

    This study seeks to discover consumer segments by using a multidimensional concept of luxury by encompassing functional, individual and social components in the luxury market. Survey data was collected from 1097 consumers in Iran. Eight luxury factors were indentified through an exploratory factor analysis. These factors are used for segmenting these consumers with the K-means method. Cluster analysis of the data resulted in four different behavioral style segments namely: non-luxury consumer...

  4. Invariant texture segmentation via circular gabor filter

    OpenAIRE

    ZHANG, Jianguo; Tan, Tieniu

    2002-01-01

    International audience; In this paper, we focus on invariant texture segmentation, and propose a new method using circular Gabor filters (CGF) for rotation invariant texture segmentation. The traditional Gabor function is modified into a circular symmetric version. The rotation invariant texture features are achieved via the channel output of the CGF. A new scheme of the selection of Gabor parameters is also proposed for texture segmentation. Experiments show the efficacy of this method

  5. Analysing the Methods of Dzongkha Word Segmentation

    OpenAIRE

    Dhungyel Parshu Ram; Grundspeņķis Jānis

    2017-01-01

    In both Chinese and Dzongkha languages, the greatest challenge is to identify the word boundaries because there are no word delimiters as it is in English and other Western languages. Therefore, preprocessing and word segmentation is the first step in Dzongkha language processing, such as translation, spell-checking, and information retrieval. Research on Chinese word segmentation was conducted long time ago. Therefore, it is relatively mature, but the Dzongkha word segmentation has been less...

  6. IFRS 8 Operating Segments - A Closer Look

    OpenAIRE

    Muthupandian, K S

    2008-01-01

    The International Accounting Standards Board issued the International Financial Reporting Standard 8 Operating Segments. Segment information is one of the most vital aspects of financial reporting for investors and other users. The IFRS 8 requires an entity to adopt the ‘management approach’ to reporting on the financial performance of its operating segments. This article presents a closer look of the standard (objective, scope, and disclosures).

  7. LOGISTICS PRINCIPLES SEGMENTING CONSUMER COMPANIES

    OpenAIRE

    Карпунь, О.В.

    2013-01-01

    In article traditional methods customer segmentation were investigated and were ordered logistical principals of customer segmentation for receiving maximum profits and minimizing expenses. В статье были исследованы традиционные методы сегментации потребительского рынка и предложены логистические принципы сегментации потребителей компании с целью получения максимальной прибыли при минимизации затрат. В статті були досліджені традиційні маркетингові методи сегментації споживчого ринку та...

  8. Fast and Sequence-Adaptive Whole-Brain Segmentation Using Parametric Bayesian Modeling

    DEFF Research Database (Denmark)

    Puonti, Oula; Iglesias, Juan Eugenio; Van Leemput, Koen

    2016-01-01

    Quantitative analysis of magnetic resonance imaging (MRI) scans of the brain requires accurate automated segmentation of anatomical structures. A desirable feature for such segmentation methods is to be robust against changes in acquisition platform and imaging protocol. In this paper we validate...... the performance of a segmentation algorithm designed to meet these requirements, building upon generative parametric models previously used in tissue classification. The method is tested on four different datasets acquired with different scanners, field strengths and pulse sequences, demonstrating comparable...... accuracy to state-of-the-art methods on T1-weighted scans while being one to two orders of magnitude faster. The proposed algorithm is also shown to be robust against small training datasets, and readily handles images with different MRI contrast as well as multi-contrast data....

  9. Robust automatic high resolution segmentation of SOFC anode porosity in 3D

    DEFF Research Database (Denmark)

    Jørgensen, Peter Stanley; Bowen, Jacob R.

    2008-01-01

    anode in 3D. The technique is based on numerical approximations to partial differential equations to evolve a 3D surface to the desired phase boundary. Vector fields derived from the experimentally acquired data are used as the driving force. The automatic segmentation compared to manual delineation......Routine use of 3D characterization of SOFCs by focused ion beam (FIB) serial sectioning is generally restricted by the time consuming task of manually delineating structures within each image slice. We apply advanced image analysis algorithms to automatically segment the porosity phase of an SOFC...... reveals and good correspondence and the two approaches are quantitatively compared. It is concluded that the. automatic approach is more robust, more reproduceable and orders of magnitude quicker than manual segmentation of SOFC anode porosity for subsequent quantitative 3D analysis. Lastly...

  10. Bayesian segmentation of brainstem structures in MRI

    DEFF Research Database (Denmark)

    Iglesias, Juan Eugenio; Van Leemput, Koen; Bhatt, Priyanka

    2015-01-01

    In this paper we present a method to segment four brainstem structures (midbrain, pons, medulla oblongata and superior cerebellar peduncle) from 3D brain MRI scans. The segmentation method relies on a probabilistic atlas of the brainstem and its neighboring brain structures. To build the atlas, we...... the brainstem structures in novel scans. Thanks to the generative nature of the scheme, the segmentation method is robust to changes in MRI contrast or acquisition hardware. Using cross validation, we show that the algorithm can segment the structures in previously unseen T1 and FLAIR scans with great accuracy...

  11. Osmotic and Heat Stress Effects on Segmentation

    National Research Council Canada - National Science Library

    Weiss, Julian; Devoto, Stephen H

    2016-01-01

    .... Environmental stresses such as hypoxia or heat shock produce segmentation defects, and significantly increase the penetrance and severity of vertebral defects in genetically susceptible individuals...

  12. Probabilistic Segmentation of Folk Music Recordings

    Directory of Open Access Journals (Sweden)

    Ciril Bohak

    2016-01-01

    Full Text Available The paper presents a novel method for automatic segmentation of folk music field recordings. The method is based on a distance measure that uses dynamic time warping to cope with tempo variations and a dynamic programming approach to handle pitch drifting for finding similarities and estimating the length of repeating segment. A probabilistic framework based on HMM is used to find segment boundaries, searching for optimal match between the expected segment length, between-segment similarities, and likely locations of segment beginnings. Evaluation of several current state-of-the-art approaches for segmentation of commercial music is presented and their weaknesses when dealing with folk music are exposed, such as intolerance to pitch drift and variable tempo. The proposed method is evaluated and its performance analyzed on a collection of 206 folk songs of different ensemble types: solo, two- and three-voiced, choir, instrumental, and instrumental with singing. It outperforms current commercial music segmentation methods for noninstrumental music and is on a par with the best for instrumental recordings. The method is also comparable to a more specialized method for segmentation of solo singing folk music recordings.

  13. Study on segmented distribution for reliability evaluation

    Directory of Open Access Journals (Sweden)

    Huaiyuan Li

    2017-02-01

    Full Text Available In practice, the failure rate of most equipment exhibits different tendencies at different stages and even its failure rate curve behaves a multimodal trace during its life cycle. As a result, traditionally evaluating the reliability of equipment with a single model may lead to severer errors. However, if lifetime is divided into several different intervals according to the characteristics of its failure rate, piecewise fitting can more accurately approximate the failure rate of equipment. Therefore, in this paper, failure rate is regarded as a piecewise function, and two kinds of segmented distribution are put forward to evaluate reliability. In order to estimate parameters in the segmented reliability function, Bayesian estimation and maximum likelihood estimation (MLE of the segmented distribution are discussed in this paper. Since traditional information criterion is not suitable for the segmented distribution, an improved information criterion is proposed to test and evaluate the segmented reliability model in this paper. After a great deal of testing and verification, the segmented reliability model and its estimation methods presented in this paper are proven more efficient and accurate than the traditional non-segmented single model, especially when the change of the failure rate is time-phased or multimodal. The significant performance of the segmented reliability model in evaluating reliability of proximity sensors of leading-edge flap in civil aircraft indicates that the segmented distribution and its estimation method in this paper could be useful and accurate.

  14. The First Active Segmented Mirror at ESO

    Science.gov (United States)

    Gonté, Frédéric; Dupuy, Christophe; Frank, Christoph; Araujo, Constanza; Brast, Roland; Frahm, Robert; Karban, Robert; Andolfato, Luigi; Esteves, Regina; Nylund, Matty; Sedghi, Babak; Fischer, Gerhard; Noethe, Lothar; Derie, Frédéric

    2007-06-01

    The Active Phasing Experiment (APE) is part of the Extremely Large Telescope Design Study which is supported by the European Framework Programme 6. This experiment, which is conducted in collaboration with several partners is a demonstrator to test and qualify newly-developed phasing sensors for the alignment of segmented mirrors and test the phasing software within a telescope control system to be developed for a future European Extremely Large Telescope. The segmentation of a primary mirror is simulated by a scaled-down Active Segmented Mirror of 61 segments which has been developed in-house.

  15. Interactive segmentation techniques algorithms and performance evaluation

    CERN Document Server

    He, Jia; Kuo, C-C Jay

    2013-01-01

    This book focuses on interactive segmentation techniques, which have been extensively studied in recent decades. Interactive segmentation emphasizes clear extraction of objects of interest, whose locations are roughly indicated by human interactions based on high level perception. This book will first introduce classic graph-cut segmentation algorithms and then discuss state-of-the-art techniques, including graph matching methods, region merging and label propagation, clustering methods, and segmentation methods based on edge detection. A comparative analysis of these methods will be provided

  16. Analysing the Methods of Dzongkha Word Segmentation

    Directory of Open Access Journals (Sweden)

    Dhungyel Parshu Ram

    2017-05-01

    Full Text Available In both Chinese and Dzongkha languages, the greatest challenge is to identify the word boundaries because there are no word delimiters as it is in English and other Western languages. Therefore, preprocessing and word segmentation is the first step in Dzongkha language processing, such as translation, spell-checking, and information retrieval. Research on Chinese word segmentation was conducted long time ago. Therefore, it is relatively mature, but the Dzongkha word segmentation has been less studied by researchers. In the paper, we have investigated this major problem in Dzongkha language processing using a probabilistic approach for selecting valid segments with probability being computed on the basis of the corpus.

  17. Review of segmentation process in consumer markets

    Directory of Open Access Journals (Sweden)

    Veronika Jadczaková

    2013-01-01

    Full Text Available Although there has been a considerable debate on market segmentation over five decades, attention was merely devoted to single stages of the segmentation process. In doing so, stages as segmentation base selection or segments profiling have been heavily covered in the extant literature, whereas stages as implementation of the marketing strategy or market definition were of a comparably lower interest. Capitalizing on this shortcoming, this paper strives to close the gap and provide each step of the segmentation process with equal treatment. Hence, the objective of this paper is two-fold. First, a snapshot of the segmentation process in a step-by-step fashion will be provided. Second, each step (where possible will be evaluated on chosen criteria by means of description, comparison, analysis and synthesis of 32 academic papers and 13 commercial typology systems. Ultimately, the segmentation stages will be discussed with empirical findings prevalent in the segmentation studies and last but not least suggestions calling for further investigation will be presented. This seven-step-framework may assist when segmenting in practice allowing for more confidential targeting which in turn might prepare grounds for creating of a differential advantage.

  18. Polarimetric Segmentation Using Wishart Test Statistic

    DEFF Research Database (Denmark)

    Skriver, Henning; Schou, Jesper; Nielsen, Allan Aasbjerg

    2002-01-01

    ) approach, which is a merging algorithm for single channel SAR images. The polarimetric version described in this paper uses the above-mentioned test statistic for merging. The segmentation algorithm has been applied to polarimetric SAR data from the Danish dual-frequency, airborne polarimetric SAR, EMISAR......A newly developed test statistic for equality of two complex covariance matrices following the complex Wishart distribution and an associated asymptotic probability for the test statistic has been used in a segmentation algorithm. The segmentation algorithm is based on the MUM (merge using moments....... The results show clearly an improved segmentation performance for the full polarimetric algorithm compared to single channel approaches....

  19. Validation of volumetric and single-slice MRI adipose analysis using a novel fully automated segmentation method.

    Science.gov (United States)

    Addeman, Bryan T; Kutty, Shelby; Perkins, Thomas G; Soliman, Abraam S; Wiens, Curtis N; McCurdy, Colin M; Beaton, Melanie D; Hegele, Robert A; McKenzie, Charles A

    2015-01-01

    To validate a fully automated adipose segmentation method with magnetic resonance imaging (MRI) fat fraction abdominal imaging. We hypothesized that this method is suitable for segmentation of subcutaneous adipose tissue (SAT) and intra-abdominal adipose tissue (IAAT) in a wide population range, easy to use, works with a variety of hardware setups, and is highly repeatable. Analysis was performed comparing precision and analysis time of manual and automated segmentation of single-slice imaging, and volumetric imaging (78-88 slices). Volumetric and single-slice data were acquired in a variety of cohorts (body mass index [BMI] 15.6-41.76) including healthy adult volunteers, adolescent volunteers, and subjects with nonalcoholic fatty liver disease and lipodystrophies. A subset of healthy volunteers was analyzed for repeatability in the measurements. The fully automated segmentation was found to have excellent agreement with manual segmentation with no substantial bias across all study cohorts. Repeatability tests showed a mean coefficient of variation of 1.2 ± 0.6% for SAT, and 2.7 ± 2.2% for IAAT. Analysis with automated segmentation was rapid, requiring 2 seconds per slice compared with 8 minutes per slice with manual segmentation. We demonstrate the ability to accurately and rapidly segment regional adipose tissue using fat fraction maps across a wide population range, with varying hardware setups and acquisition methods. © 2014 Wiley Periodicals, Inc.

  20. Automated coronary artery tree segmentation in X-ray angiography using improved Hessian based enhancement and statistical region merging.

    Science.gov (United States)

    Wan, Tao; Shang, Xiaoqing; Yang, Weilin; Chen, Jianhui; Li, Deyu; Qin, Zengchang

    2018-04-01

    Coronary artery segmentation is a fundamental step for a computer-aided diagnosis system to be developed to assist cardiothoracic radiologists in detecting coronary artery diseases. Manual delineation of the vasculature becomes tedious or even impossible with a large number of images acquired in the daily life clinic. A new computerized image-based segmentation method is presented for automatically extracting coronary arteries from angiography images. A combination of a multiscale-based adaptive Hessian-based enhancement method and a statistical region merging technique provides a simple and effective way to improve the complex vessel structures as well as thin vessel delineation which often missed by other segmentation methods. The methodology was validated on 100 patients who underwent diagnostic coronary angiography. The segmentation performance was assessed via both qualitative and quantitative evaluations. Quantitative evaluation shows that our method is able to identify coronary artery trees with an accuracy of 93% and outperforms other segmentation methods in terms of two widely used segmentation metrics of mean absolute difference and dice similarity coefficient. The comparison to the manual segmentations from three human observers suggests that the presented automated segmentation method is potential to be used in an image-based computerized analysis system for early detection of coronary artery disease. Copyright © 2018 Elsevier B.V. All rights reserved.

  1. Automatic lung segmentation method for MRI-based lung perfusion studies of patients with chronic obstructive pulmonary disease.

    Science.gov (United States)

    Kohlmann, Peter; Strehlow, Jan; Jobst, Betram; Krass, Stefan; Kuhnigk, Jan-Martin; Anjorin, Angela; Sedlaczek, Oliver; Ley, Sebastian; Kauczor, Hans-Ulrich; Wielpütz, Mark Oliver

    2015-04-01

    A novel fully automatic lung segmentation method for magnetic resonance (MR) images of patients with chronic obstructive pulmonary disease (COPD) is presented. The main goal of this work was to ease the tedious and time-consuming task of manual lung segmentation, which is required for region-based volumetric analysis of four-dimensional MR perfusion studies which goes beyond the analysis of small regions of interest. The first step in the automatic algorithm is the segmentation of the lungs in morphological MR images with higher spatial resolution than corresponding perfusion MR images. Subsequently, the segmentation mask of the lungs is transferred to the perfusion images via nonlinear registration. Finally, the masks for left and right lungs are subdivided into a user-defined number of partitions. Fourteen patients with two time points resulting in 28 perfusion data sets were available for the preliminary evaluation of the developed methods. Resulting lung segmentation masks are compared with reference segmentations from experienced chest radiologists, as well as with total lung capacity (TLC) acquired by full-body plethysmography. TLC results were available for thirteen patients. The relevance of the presented method is indicated by an evaluation, which shows high correlation between automatically generated lung masks with corresponding ground-truth estimates. The evaluation of the developed methods indicates good accuracy and shows that automatically generated lung masks differ from expert segmentations about as much as segmentations from different experts.

  2. A Parallel Distributed-Memory Particle Method Enables Acquisition-Rate Segmentation of Large Fluorescence Microscopy Images.

    Directory of Open Access Journals (Sweden)

    Yaser Afshar

    Full Text Available Modern fluorescence microscopy modalities, such as light-sheet microscopy, are capable of acquiring large three-dimensional images at high data rate. This creates a bottleneck in computational processing and analysis of the acquired images, as the rate of acquisition outpaces the speed of processing. Moreover, images can be so large that they do not fit the main memory of a single computer. We address both issues by developing a distributed parallel algorithm for segmentation of large fluorescence microscopy images. The method is based on the versatile Discrete Region Competition algorithm, which has previously proven useful in microscopy image segmentation. The present distributed implementation decomposes the input image into smaller sub-images that are distributed across multiple computers. Using network communication, the computers orchestrate the collectively solving of the global segmentation problem. This not only enables segmentation of large images (we test images of up to 10(10 pixels, but also accelerates segmentation to match the time scale of image acquisition. Such acquisition-rate image segmentation is a prerequisite for the smart microscopes of the future and enables online data compression and interactive experiments.

  3. A Parallel Distributed-Memory Particle Method Enables Acquisition-Rate Segmentation of Large Fluorescence Microscopy Images.

    Science.gov (United States)

    Afshar, Yaser; Sbalzarini, Ivo F

    2016-01-01

    Modern fluorescence microscopy modalities, such as light-sheet microscopy, are capable of acquiring large three-dimensional images at high data rate. This creates a bottleneck in computational processing and analysis of the acquired images, as the rate of acquisition outpaces the speed of processing. Moreover, images can be so large that they do not fit the main memory of a single computer. We address both issues by developing a distributed parallel algorithm for segmentation of large fluorescence microscopy images. The method is based on the versatile Discrete Region Competition algorithm, which has previously proven useful in microscopy image segmentation. The present distributed implementation decomposes the input image into smaller sub-images that are distributed across multiple computers. Using network communication, the computers orchestrate the collectively solving of the global segmentation problem. This not only enables segmentation of large images (we test images of up to 10(10) pixels), but also accelerates segmentation to match the time scale of image acquisition. Such acquisition-rate image segmentation is a prerequisite for the smart microscopes of the future and enables online data compression and interactive experiments.

  4. Digitized locksmith forensics: automated detection and segmentation of toolmarks on highly structured surfaces

    Science.gov (United States)

    Clausing, Eric; Vielhauer, Claus

    2014-02-01

    Locksmith forensics is an important area in crime scene forensics. Due to new optical, contactless, nanometer range sensing technology, such traces can be captured, digitized and analyzed more easily allowing a complete digital forensic investigation. In this paper we present a significantly improved approach for the detection and segmentation of toolmarks on surfaces of locking cylinder components (using the example of the locking cylinder component 'key pin') acquired by a 3D Confocal Laser Scanning Microscope. This improved approach is based on our prior work1 using a block-based classification approach with textural features. In this prior work1 we achieve a solid detection rate of 75-85% for the detection of toolmarks originating from illegal opening methods. Here, in this paper we improve, expand and fuse this prior approach with additional features from acquired surface topography data, color data and an image processing approach using adapted Gabor filters. In particular we are able of raising the detection and segmentation rates above 90% with our test set of 20 key pins with approximately 700 single toolmark traces of four different opening methods. We can provide a precise pixel- based segmentation as opposed to the rather imprecise segmentation of our prior block-based approach and as the use of the two additional data types (color and especially topography) require a specific pre-processing, we furthermore propose an adequate approach for this purpose.

  5. Real-Time Ultrasound Segmentation, Analysis and Visualisation of Deep Cervical Muscle Structure.

    Science.gov (United States)

    Cunningham, Ryan J; Harding, Peter J; Loram, Ian D

    2017-02-01

    Despite widespread availability of ultrasound and a need for personalised muscle diagnosis (neck/back pain-injury, work related disorder, myopathies, neuropathies), robust, online segmentation of muscles within complex groups remains unsolved by existing methods. For example, Cervical Dystonia (CD) is a prevalent neurological condition causing painful spasticity in one or multiple muscles in the cervical muscle system. Clinicians currently have no method for targeting/monitoring treatment of deep muscles. Automated methods of muscle segmentation would enable clinicians to study, target, and monitor the deep cervical muscles via ultrasound. We have developed a method for segmenting five bilateral cervical muscles and the spine via ultrasound alone, in real-time. Magnetic Resonance Imaging (MRI) and ultrasound data were collected from 22 participants (age: 29.0±6.6, male: 12). To acquire ultrasound muscle segment labels, a novel multimodal registration method was developed, involving MRI image annotation, and shape registration to MRI-matched ultrasound images, via approximation of the tissue deformation. We then applied polynomial regression to transform our annotations and textures into a mean space, before using shape statistics to generate a texture-to-shape dictionary. For segmentation, test images were compared to dictionary textures giving an initial segmentation, and then we used a customized Active Shape Model to refine the fit. Using ultrasound alone, on unseen participants, our technique currently segments a single image in [Formula: see text] to over 86% accuracy (Jaccard index). We propose this approach is applicable generally to segment, extrapolate and visualise deep muscle structure, and analyse statistical features online.

  6. Segmentation of tongue muscles from super-resolution magnetic resonance images.

    Science.gov (United States)

    Ibragimov, Bulat; Prince, Jerry L; Murano, Emi Z; Woo, Jonghye; Stone, Maureen; Likar, Boštjan; Pernuš, Franjo; Vrtovec, Tomaž

    2015-02-01

    Imaging and quantification of tongue anatomy is helpful in surgical planning, post-operative rehabilitation of tongue cancer patients, and studying of how humans adapt and learn new strategies for breathing, swallowing and speaking to compensate for changes in function caused by disease, medical interventions or aging. In vivo acquisition of high-resolution three-dimensional (3D) magnetic resonance (MR) images with clearly visible tongue muscles is currently not feasible because of breathing and involuntary swallowing motions that occur over lengthy imaging times. However, recent advances in image reconstruction now allow the generation of super-resolution 3D MR images from sets of orthogonal images, acquired at a high in-plane resolution and combined using super-resolution techniques. This paper presents, to the best of our knowledge, the first attempt towards automatic tongue muscle segmentation from MR images. We devised a database of ten super-resolution 3D MR images, in which the genioglossus and inferior longitudinalis tongue muscles were manually segmented and annotated with landmarks. We demonstrate the feasibility of segmenting the muscles of interest automatically by applying the landmark-based game-theoretic framework (GTF), where a landmark detector based on Haar-like features and an optimal assignment-based shape representation were integrated. The obtained segmentation results were validated against an independent manual segmentation performed by a second observer, as well as against B-splines and demons atlasing approaches. The segmentation performance resulted in mean Dice coefficients of 85.3%, 81.8%, 78.8% and 75.8% for the second observer, GTF, B-splines atlasing and demons atlasing, respectively. The obtained level of segmentation accuracy indicates that computerized tongue muscle segmentation may be used in surgical planning and treatment outcome analysis of tongue cancer patients, and in studies of normal subjects and subjects with speech and

  7. Computational methods for corpus callosum segmentation on MRI: A systematic literature review.

    Science.gov (United States)

    Cover, G S; Herrera, W G; Bento, M P; Appenzeller, S; Rittner, L

    2018-02-01

    The corpus callosum (CC) is the largest white matter structure in the brain and has a significant role in central nervous system diseases. Its volume correlates with the severity and/or extent of neurodegenerative disease. Even though the CC's role has been extensively studied over the last decades, and different algorithms and methods have been published regarding CC segmentation and parcellation, no reviews or surveys covering such developments have been reported so far. To bridge this gap, this paper presents a systematic literature review of computational methods focusing on CC segmentation and parcellation acquired on magnetic resonance imaging. IEEExplore, PubMed, EBSCO Host, and Scopus database were searched with the following search terms: ((Segmentation OR Parcellation) AND (Corpus Callosum) AND (DTI OR MRI OR Diffusion Tensor Imag* OR Diffusion Tractography OR Magnetic Resonance Imag*)), resulting in 802 publications. Two reviewers independently evaluated all articles and 36 studies were selected through the systematic literature review process. This work reviewed four main segmentation methods groups: model-based, region-based, thresholding, and machine learning; 32 different validity metrics were reported. Even though model-based techniques are the most recurrently used for the segmentation task (13 articles), machine learning approaches achieved better outcomes of 95% when analyzing mean values for segmentation and classification metrics results. Moreover, CC segmentation is better established in T 1 -weighted images, having more methods implemented and also being tested in larger datasets, compared with diffusion tensor images. The analyzed computational methods used to perform CC segmentation on magnetic resonance imaging have not yet overcome all presented challenges owing to metrics variability and lack of traceable materials. Copyright © 2017 Elsevier B.V. All rights reserved.

  8. Rotationally resliced 3D prostate TRUS segmentation using convex optimization with shape priors.

    Science.gov (United States)

    Qiu, Wu; Yuan, Jing; Ukwatta, Eranga; Fenster, Aaron

    2015-02-01

    Efficient and accurate segmentations of 3D end-firing transrectal ultrasound (TRUS) images play an important role in planning of 3D TRUS guided prostate biopsy. However, poor image quality of the input 3D TRUS images, such as strong imaging artifacts and speckles, often makes it a challenging task to extract the prostate boundaries accurately and efficiently. In this paper, the authors propose a novel convex optimization-based approach to delineate the prostate surface from a given 3D TRUS image, which reduces the original 3D segmentation problem to a sequence of simple 2D segmentation subproblems over the rotational reslices of the 3D TRUS volume. Essentially, the authors introduce a novel convex relaxation-based contour evolution approach to each 2D slicewise image segmentation with the joint optimization of shape information, where the learned 2D nonlinear statistical shape prior is incorporated to segment the initial slice, its result is propagated as a shape constraint to the segmentation of the following slices. In practice, the proposed segmentation algorithm is implemented on a GPU to achieve the high computational performance. Experimental results using 30 patient 3D TRUS images show that the proposed method can achieve a mean Dice similarity coefficient of 93.4% ± 2.2% in 20 s for one 3D image, outperforming the existing local-optimization-based methods, e.g., level-set and active-contour, in terms of accuracy and efficiency. In addition, inter- and intraobserver variability experiments show its good reproducibility. A semiautomatic segmentation approach is proposed and evaluated to extract the prostate boundary from 3D TRUS images acquired by a 3D end-firing TRUS guided prostate biopsy system. Experimental results suggest that it may be suitable for the clinical use involving the image guided prostate biopsy procedures.

  9. Multi-scale and shape constrained localized region-based active contour segmentation of uterine fibroid ultrasound images in HIFU therapy.

    Directory of Open Access Journals (Sweden)

    Xiangyun Liao

    Full Text Available To overcome the severe intensity inhomogeneity and blurry boundaries in HIFU (High Intensity Focused Ultrasound ultrasound images, an accurate and efficient multi-scale and shape constrained localized region-based active contour model (MSLCV, was developed to accurately and efficiently segment the target region in HIFU ultrasound images of uterine fibroids.We incorporated a new shape constraint into the localized region-based active contour, which constrained the active contour to obtain the desired, accurate segmentation, avoiding boundary leakage and excessive contraction. Localized region-based active contour modeling is suitable for ultrasound images, but it still cannot acquire satisfactory segmentation for HIFU ultrasound images of uterine fibroids. We improved the localized region-based active contour model by incorporating a shape constraint into region-based level set framework to increase segmentation accuracy. Some improvement measures were proposed to overcome the sensitivity of initialization, and a multi-scale segmentation method was proposed to improve segmentation efficiency. We also designed an adaptive localizing radius size selection function to acquire better segmentation results.Experimental results demonstrated that the MSLCV model was significantly more accurate and efficient than conventional methods. The MSLCV model has been quantitatively validated via experiments, obtaining an average of 0.94 for the DSC (Dice similarity coefficient and 25.16 for the MSSD (mean sum of square distance. Moreover, by using the multi-scale segmentation method, the MSLCV model's average segmentation time was decreased to approximately 1/8 that of the localized region-based active contour model (the LCV model.An accurate and efficient multi-scale and shape constrained localized region-based active contour model was designed for the semi-automatic segmentation of uterine fibroid ultrasound (UFUS images in HIFU therapy. Compared with other

  10. Min-Cut Based Segmentation of Airborne LIDAR Point Clouds

    Science.gov (United States)

    Ural, S.; Shan, J.

    2012-07-01

    Introducing an organization to the unstructured point cloud before extracting information from airborne lidar data is common in many applications. Aggregating the points with similar features into segments in 3-D which comply with the nature of actual objects is affected by the neighborhood, scale, features and noise among other aspects. In this study, we present a min-cut based method for segmenting the point cloud. We first assess the neighborhood of each point in 3-D by investigating the local geometric and statistical properties of the candidates. Neighborhood selection is essential since point features are calculated within their local neighborhood. Following neighborhood determination, we calculate point features and determine the clusters in the feature space. We adapt a graph representation from image processing which is especially used in pixel labeling problems and establish it for the unstructured 3-D point clouds. The edges of the graph that are connecting the points with each other and nodes representing feature clusters hold the smoothness costs in the spatial domain and data costs in the feature domain. Smoothness costs ensure spatial coherence, while data costs control the consistency with the representative feature clusters. This graph representation formalizes the segmentation task as an energy minimization problem. It allows the implementation of an approximate solution by min-cuts for a global minimum of this NP hard minimization problem in low order polynomial time. We test our method with airborne lidar point cloud acquired with maximum planned post spacing of 1.4 m and a vertical accuracy 10.5 cm as RMSE. We present the effects of neighborhood and feature determination in the segmentation results and assess the accuracy and efficiency of the implemented min-cut algorithm as well as its sensitivity to the parameters of the smoothness and data cost functions. We find that smoothness cost that only considers simple distance parameter does not

  11. MIN-CUT BASED SEGMENTATION OF AIRBORNE LIDAR POINT CLOUDS

    Directory of Open Access Journals (Sweden)

    S. Ural

    2012-07-01

    Full Text Available Introducing an organization to the unstructured point cloud before extracting information from airborne lidar data is common in many applications. Aggregating the points with similar features into segments in 3-D which comply with the nature of actual objects is affected by the neighborhood, scale, features and noise among other aspects. In this study, we present a min-cut based method for segmenting the point cloud. We first assess the neighborhood of each point in 3-D by investigating the local geometric and statistical properties of the candidates. Neighborhood selection is essential since point features are calculated within their local neighborhood. Following neighborhood determination, we calculate point features and determine the clusters in the feature space. We adapt a graph representation from image processing which is especially used in pixel labeling problems and establish it for the unstructured 3-D point clouds. The edges of the graph that are connecting the points with each other and nodes representing feature clusters hold the smoothness costs in the spatial domain and data costs in the feature domain. Smoothness costs ensure spatial coherence, while data costs control the consistency with the representative feature clusters. This graph representation formalizes the segmentation task as an energy minimization problem. It allows the implementation of an approximate solution by min-cuts for a global minimum of this NP hard minimization problem in low order polynomial time. We test our method with airborne lidar point cloud acquired with maximum planned post spacing of 1.4 m and a vertical accuracy 10.5 cm as RMSE. We present the effects of neighborhood and feature determination in the segmentation results and assess the accuracy and efficiency of the implemented min-cut algorithm as well as its sensitivity to the parameters of the smoothness and data cost functions. We find that smoothness cost that only considers simple distance

  12. Automatic outer and inner breast tissue segmentation using multi-parametric MRI images of breast tumor patients.

    Science.gov (United States)

    Thakran, Snekha; Chatterjee, Subhajit; Singhal, Meenakshi; Gupta, Rakesh Kumar; Singh, Anup

    2018-01-01

    The objectives of the study were to develop a framework for automatic outer and inner breast tissue segmentation using multi-parametric MRI images of the breast tumor patients; and to perform breast density and tumor tissue analysis. MRI of the breast was performed on 30 patients at 3T-MRI. T1, T2 and PD-weighted(W) images, with and without fat saturation(WWFS), and dynamic-contrast-enhanced(DCE)-MRI data were acquired. The proposed automatic segmentation approach was performed in two steps. In step-1, outer segmentation of breast tissue from rest of body parts was performed on structural images (T2-W/T1-W/PD-W without fat saturation images) using automatic landmarks detection technique based on operations like profile screening, Otsu thresholding, morphological operations and empirical observation. In step-2, inner segmentation of breast tissue into fibro-glandular(FG), fatty and tumor tissue was performed. For validation of breast tissue segmentation, manual segmentation was carried out by two radiologists and similarity coefficients(Dice and Jaccard) were computed for outer as well as inner tissues. FG density and tumor volume were also computed and analyzed. The proposed outer and inner segmentation approach worked well for all the subjects and was validated by two radiologists. The average Dice and Jaccard coefficients value for outer segmentation using T2-W images, obtained by two radiologists, were 0.977 and 0.951 respectively. These coefficient values for FG tissue were 0.915 and 0.875 respectively whereas for tumor tissue, values were 0.968 and 0.95 respectively. The volume of segmented tumor ranged over 2.1 cm3-7.08 cm3. The proposed approach provided automatic outer and inner breast tissue segmentation, which enables automatic calculations of breast tissue density and tumor volume. This is a complete framework for outer and inner breast segmentation method for all structural images.

  13. Automatic outer and inner breast tissue segmentation using multi-parametric MRI images of breast tumor patients.

    Directory of Open Access Journals (Sweden)

    Snekha Thakran

    Full Text Available The objectives of the study were to develop a framework for automatic outer and inner breast tissue segmentation using multi-parametric MRI images of the breast tumor patients; and to perform breast density and tumor tissue analysis. MRI of the breast was performed on 30 patients at 3T-MRI. T1, T2 and PD-weighted(W images, with and without fat saturation(WWFS, and dynamic-contrast-enhanced(DCE-MRI data were acquired. The proposed automatic segmentation approach was performed in two steps. In step-1, outer segmentation of breast tissue from rest of body parts was performed on structural images (T2-W/T1-W/PD-W without fat saturation images using automatic landmarks detection technique based on operations like profile screening, Otsu thresholding, morphological operations and empirical observation. In step-2, inner segmentation of breast tissue into fibro-glandular(FG, fatty and tumor tissue was performed. For validation of breast tissue segmentation, manual segmentation was carried out by two radiologists and similarity coefficients(Dice and Jaccard were computed for outer as well as inner tissues. FG density and tumor volume were also computed and analyzed. The proposed outer and inner segmentation approach worked well for all the subjects and was validated by two radiologists. The average Dice and Jaccard coefficients value for outer segmentation using T2-W images, obtained by two radiologists, were 0.977 and 0.951 respectively. These coefficient values for FG tissue were 0.915 and 0.875 respectively whereas for tumor tissue, values were 0.968 and 0.95 respectively. The volume of segmented tumor ranged over 2.1 cm3-7.08 cm3. The proposed approach provided automatic outer and inner breast tissue segmentation, which enables automatic calculations of breast tissue density and tumor volume. This is a complete framework for outer and inner breast segmentation method for all structural images.

  14. Dendritic ion channelopathy in acquired epilepsy

    Science.gov (United States)

    Poolos, Nicholas P.; Johnston, Daniel

    2012-01-01

    Summary Ion channel dysfunction or “channelopathy” is a proven cause of epilepsy in the relatively uncommon genetic epilepsies with Mendelian inheritance. But numerous examples of acquired channelopathy in experimental animal models of epilepsy following brain injury have also been demonstrated. Our understanding of channelopathy has grown due to advances in electrophysiology techniques that have allowed the study of ion channels in the dendrites of pyramidal neurons in cortex and hippocampus. The apical dendrites of pyramidal neurons comprise the vast majority of neuronal surface membrane area, and thus the majority of the neuronal ion channel population. Investigation of dendritic ion channels has demonstrated remarkable plasticity in ion channel localization and biophysical properties in epilepsy, many of which produce hyperexcitability and may contribute to the development and maintenance of the epileptic state. Here we review recent advances in dendritic physiology and cell biology, and their relevance to epilepsy. PMID:23216577

  15. Acquired Localized Hypertrichosis Induced by Rivastigmine

    Directory of Open Access Journals (Sweden)

    Adrian Imbernón-Moya

    2016-01-01

    Full Text Available Hypertrichosis is the excessive hair growth in any area of the skin surface. Acquired localized hypertrichosis may be secondary to multiple causes and there is a secondary form due to several drugs, which is usually reversible with discontinuation of the causative agent. Rivastigmine is a reversible and competitive inhibitor of acetylcholinesterase and butyrylcholinesterase used for symptomatic treatment of Alzheimer dementia and Parkinson’s disease. It has an adequate safety profile and cutaneous side effects are unusual. Irritant contact dermatitis, allergic dermatitis, baboon syndrome, and cutaneous rash due to rivastigmine have been reported. We report on a Caucasian 80-year-old male with personal history of Alzheimer’s disease. The patient started therapy with oral rivastigmine one month prior to clinical presentation of localized hypertrichosis on both forearms. Norgalanthamine has been shown to promote hair growth activity via the proliferation of dermal papilla. Acetylcholinesterase inhibitors can induce hair growth.

  16. Hospital Acquired Pneumonia: Issues in Therapy

    Directory of Open Access Journals (Sweden)

    Lionel A Mandell

    1994-01-01

    Full Text Available In December 1992. a meeting was convened in Toronto to develop guidelines for the initial treatment of hospital acquired pneumonia. Issues considered related lo the patient. the possible drugs used for treatment, and the pathogen(s. From the perspective of the patient. the two major issues were the presence or absence of risk factors for specific microbial pathogens and the severity of illness upon clinical presentation, Criteria for defining severly ill patients were developed and are presented in this paper. Drug and pathogen related issues focused on selection of antimicrobial agents thal would provide coverage for the likely pathogens. Concern was also expressed regarding use of aminoglycosides as single-agent treatment of Gram-negative infections in the lung. and the issue of monotherapy versus combination therapy of Pseudomonas aeruginosa infections was discussed. The use of various diagnostic tests was briefly reviewed. including the protected specimen brush and bronchoalveolar lavage. Treatment regimens are presented in tabular format.

  17. Identification of acquired antimicrobial resistance genes

    DEFF Research Database (Denmark)

    Zankari, Ea; Hasman, Henrik; Cosentino, Salvatore

    2012-01-01

    -novo-sequenced isolates.ResultsWhen testing the 1862 GenBank files, the method identified the resistance genes with an ID = 100% (100% identity) to the genes in ResFinder. Agreement between in silico predictions and phenotypic testing was found when the method was further tested on 23 isolates of five different bacterial......ObjectivesIdentification of antimicrobial resistance genes is important for understanding the underlying mechanisms and the epidemiology of antimicrobial resistance. As the costs of whole-genome sequencing (WGS) continue to decline, it becomes increasingly available in routine diagnostic...... laboratories and is anticipated to substitute traditional methods for resistance gene identification. Thus, the current challenge is to extract the relevant information from the large amount of generated data.MethodsWe developed a web-based method, ResFinder that uses BLAST for identification of acquired...

  18. Acquired hemophilia A: emerging treatment options

    Directory of Open Access Journals (Sweden)

    Janbain M

    2015-05-01

    Full Text Available Maissaa Janbain,1 Cindy A Leissinger,1 Rebecca Kruse-Jarres2 1Louisiana Center for Bleeding and Clotting Disorders, Tulane University Medical Center, New Orleans, LA, USA; 2Washington Center for Bleeding Disorders, Blood Works NW, Seattle, WA, USA Abstract: Acquired hemophilia A is a rare autoimmune disorder caused by an autoantibody (inhibitor to factor VIII (FVIII that interferes with its coagulant function and predisposes to severe, potentially life-threatening hemorrhage. Disease management focuses on controlling bleeding, primarily with the use of bypassing therapy and recombinant porcine FVIII, and permanently eradicating the autoantibody using various immunosuppressants. Treatment challenges include delayed diagnosis, difficulty achieving hemostasis and durable remissions, and complications associated with the use of hemostatic and immunosuppressive therapy in a primarily older patient population. Keywords: autoantibodies, factor VIII, hemostasis, inhibitors, inhibitor eradication

  19. Acute acquired comitant esotropia of childhood

    DEFF Research Database (Denmark)

    Hesgaard, Helena; Vinding, Troels

    2015-01-01

    PURPOSE: To identify characteristics of pediatric patients who develop acute acquired comitant esotropia (AACE) with and without intracranial disease. METHODS: We reviewed the charts of 48 children consecutively referred to the hospital with AACE during a 13-year period. Inclusion criteria were a...... of literature, we identified seven cause-specific types of AACE. Intracranial disease was present in 6%, and four risk factors were identified to guide clinicians when to perform brain imaging. Findings suggest AACE of childhood to be differentiated from AACE of adulthood.......: In all, 48 cases were recorded. The mean age at onset was 4.7 years, being significantly higher among children with intracranial disease. Seven cause-specific types of AACE in childhood were identified: The acute accommodative (n = 15, 31%), decompensated monofixation syndrome or esophoria (n = 13, 27...

  20. Acquired dyschromatopsia among styrene-exposed workers.

    Science.gov (United States)

    Gobba, F; Galassi, C; Imbriani, M; Ghittori, S; Candela, S; Cavalleri, A

    1991-07-01

    We investigated the occurrence of color vision loss in 75 styrene-exposed workers and in 60 referents. Color vision was evaluated by adopting the Lanthony D 15 desaturated panel, a test specifically suited to detect mild acquired dyschromatopsia. The results of the test were expressed as Color Confusion Index. Styrene exposure was evaluated with both environmental and biological monitoring. Airborne levels of the solvent were 3.2 to 549.5 mg/m3. In styrene-exposed workers color vision was significantly impaired when compared with referents matched for age. A significative correlation was found between environmental and urinary levels of styrene and Color Confusion Index excluding the influence of age in multiple regression analysis, indicating the possibility of a dose-effect relationship. The findings suggest that styrene can induce an early appearance of a dose-dependent color vision loss.

  1. Time dysperception perspective for acquired brain injury

    Directory of Open Access Journals (Sweden)

    Federica ePiras

    2014-01-01

    Full Text Available Distortions of time perception are presented by a number of neuropsychiatric disorders. Here we survey timing abilities in clinical populations with acquired brain injuries in key cerebral areas recently implicated in human studies of timing. We purposely analyzed the complex relationship between cognitive and contextual factors involved in time estimation, as to characterize the correlation between timed and other cognitive behaviors in each group. We assume that interval timing is a solid construct to study cognitive dysfunctions following brain injury, as timing performance is a sensitive metric of information processing, while temporal cognition has the potential of influencing a wide range of cognitive processes. Moreover, temporal performance is a sensitive assay of damage to the underlying neural substrate after a brain insult. Further research in neurological and psychiatric patients will definitively answer the question of whether time distortions are manifestations of cognitive and behavioral symptoms of brain damage and definitively clarify their mechanisms.

  2. Acquired left ventricular-right atrium shunts.

    Science.gov (United States)

    Sinisalo, Juha P; Sreeram, Narayanswami; Jokinen, Eero; Qureshi, Shakeel A

    2011-04-01

    Left ventricular to right atrial (LV-RA) shunt is an unusual type of ventricular septal defect (VSD). This article concentrates on acquired LV-RA shunts, which may be due to complications of cardiac operation, endocarditis, trauma or myocardial infarction. A previous cardiac operation is its most common cause. The diagnosis of LV-RA communication is not easy, and it should be remembered in patients who do not recover normally. Diagnosis can be confirmed with ultrasound or magnetic resonance image (MRI). Surgical correction is usually the treatment of choice, but closing the communication percutaneously should be considered as an option. Copyright © 2010 European Association for Cardio-Thoracic Surgery. Published by Elsevier B.V. All rights reserved.

  3. Guidelines for prevention of hospital acquired infections.

    Science.gov (United States)

    Mehta, Yatin; Gupta, Abhinav; Todi, Subhash; Myatra, Sn; Samaddar, D P; Patil, Vijaya; Bhattacharya, Pradip Kumar; Ramasubban, Suresh

    2014-03-01

    These guidelines, written for clinicians, contains evidence-based recommendations for the prevention of hospital acquired infections Hospital acquired infections are a major cause of mortality and morbidity and provide challenge to clinicians. Measures of infection control include identifying patients at risk of nosocomial infections, observing hand hygiene, following standard precautions to reduce transmission and strategies to reduce VAP, CR-BSI, CAUTI. Environmental factors and architectural lay out also need to be emphasized upon. Infection prevention in special subsets of patients - burns patients, include identifying sources of organism, identification of organisms, isolation if required, antibiotic prophylaxis to be used selectively, early removal of necrotic tissue, prevention of tetanus, early nutrition and surveillance. Immunodeficient and Transplant recipients are at a higher risk of opportunistic infections. The post tranplant timetable is divided into three time periods for determining risk of infections. Room ventilation, cleaning and decontamination, protective clothing with care regarding food requires special consideration. Monitoring and Surveillance are prioritized depending upon the needs. Designated infection control teams should supervise the process and help in collection and compilation of data. Antibiotic Stewardship Recommendations include constituting a team, close coordination between teams, audit, formulary restriction, de-escalation, optimizing dosing, active use of information technology among other measure. The recommendations in these guidelines are intended to support, and not replace, good clinical judgment. The recommendations are rated by a letter that indicates the strength of the recommendation and a Roman numeral that indicates the quality of evidence supporting the recommendation, so that readers can ascertain how best to apply the recommendations in their practice environments.

  4. Does Acquired Hypothyroidism Affect the Hearing Functions?

    Directory of Open Access Journals (Sweden)

    Ayşe Arduç

    2015-12-01

    Full Text Available Purpose: It is well known that congenital hypothyroidism can cause hearing loss. However, conflicting results were found in studies investigating hearing functions in acquired hypothyroidism. Therefore, we evaluated the audiometric findings in patients with acquired hypothyroidism. Material and Method: The study included 58 patients with hypothyroidism and age- and gender-matched 34 healthy controls. Twenty eight (48.27% patients had subclinical hypothyroidism, and 30 (51.73% had obvious hypothyroidism. All subjects had a normal otoscopic examination and tympanometry. Pure tone audiometry at 250, 500, 1000, 2000, 4000, 6000, and 8000 Hertz (Hz was performed in both groups. Blood pressure measurements and the levels of plasma electrolytes, lipids and vitamin B12 were available in all subjects. Results: Hypothyroidism group and control group were similar with respect to systolic and diastolic blood pressures and plasma glucose, lipid, vitamin B12, calcium, sodium, potassium, and chloride levels. Significantly higher audiometric thresholds (dB at 250 (10 (0-45 vs. 5 (0-15, p<0.001 and 500 Hz (10 (0-40 vs. 10 (-5-15, p=0.003 were recorded in hypothyroid patients compared to that in healthy controls. Hearing thresholds at 250 and 500 Hz correlated positively with thyroid-stimulating hormone (TSH, and negatively with free triiodothyronine and free thyroxine. Subclinical hypothyroid patients had a higher hearing threshold at 250 Hz than healthy controls (p=0.001. Discussion: Our study demonstrated that hearing ability decreases in hypothyroidism, even in subclinical hypothyroidism. The changes in TSH and thyroid hormone levels seem to be directly related to the hearing loss in this population of patients.

  5. Near-Tubular Fiber Bundle Segmentation for Diffusion Weighted Imaging: Segmentation Through Frame Reorientation

    Science.gov (United States)

    2010-03-01

    Near-Tubular Fiber Bundle Segmentation for Diffusion Weighted Imaging: Segmentation Through Frame Reorientation Marc Niethammera,b, Christopher Zacha...John Melonakosc, and Allen Tannenbaumc Marc Niethammer: mn@cs.unc.edu; Christopher Zach: cmzach@cs.unc.edu; John Melonakos: jmelonak@ece.gatech.edu...modification of a recent segmentation approach by Bresson et al. allows for a convex optimization formulation of the segmentation problem, combining

  6. Mortality predictors in community-acquired pneumonia | Tanimowo ...

    African Journals Online (AJOL)

    acquired pneumonia to themedicalwards of Ladoke Akintola University ofTeaching Hospital between Jan. 2003 andDec. 2005. The case notes of 65 patients admitted for community-acquired pneumoniawere studiedwith respect to their admission ...

  7. Error Consistency in Acquired Apraxia of Speech With Aphasia: Effects of the Analysis Unit.

    Science.gov (United States)

    Haley, Katarina L; Cunningham, Kevin T; Eaton, Catherine Torrington; Jacks, Adam

    2018-02-15

    Diagnostic recommendations for acquired apraxia of speech (AOS) have been contradictory concerning whether speech sound errors are consistent or variable. Studies have reported divergent findings that, on face value, could argue either for or against error consistency as a diagnostic criterion. The purpose of this study was to explain discrepancies in error consistency results based on the unit of analysis (segment, syllable, or word) to help determine which diagnostic recommendation is most appropriate. We analyzed speech samples from 14 left-hemisphere stroke survivors with clinical diagnoses of AOS and aphasia. Each participant produced 3 multisyllabic words 5 times in succession. Broad phonetic transcriptions of these productions were coded for consistency of error location and type using the word and its constituent syllables and sound segments as units of analysis. Consistency of error type varied systematically with the unit of analysis, showing progressively greater consistency as the analysis unit changed from the word to the syllable and then to the sound segment. Consistency of error location varied considerably across participants and correlated positively with error frequency. Low to moderate consistency of error type at the word level confirms original diagnostic accounts of speech output and sound errors in AOS as variable in form. Moderate to high error type consistency at the syllable and sound levels indicate that phonetic error patterns are present. The results are complementary and logically compatible with each other and with the literature.

  8. Management of bleeding in acquired hemophilia A : results from the European Acquired Haemophilia (EACH2) Registry

    NARCIS (Netherlands)

    Baudo, Francesco; Collins, Peter; Huth-Kuehne, Angela; Levesque, Herve; Marco, Pascual; Nemes, Laszlo; Pellegrini, Fabio; Tengborn, Lilian; Knoebl, Paul; Aspoeck, G.; Heistinger, M.; Knobl, P.; Makipernaa, A.; Andre, H; Aouba, A.; Bellucci, S.; Beurrier, P.; Borg, J.Y.; Darnige, L.; Devignes, J.; d'Oiron, R.; Gautier, P.; Gay, V.; Girault, S.; Gruel, Y.; Guerin, V.; Hezard, N.; Khellaf, M.; Koenig, M.; Levesque, H.; Lifermann, F; Marlu, R; Ninet, J.; Peynet, J.; Quemeneur, T.; Rothschild, C.; Schleinitz, N.; Sigaud, M.; Trouillier, S; Voisin, S.; Giebl, A.; Holstein, K.; Huth-Kuhne, A; Loreth, R.M.; Steigerwald, U.; Tiede, A.; Theodossiades, G.; Nemes, L.; Radvanyi, G.; Schlammadinger, A.; Barillari, G.; Pasca, S.; Baudo, F; Caimi, T.; Contino, L.; D'Angelo Armando, C.L.; Fattorini, A.; Di Minno, G.; Cerbone, A.M.; Di Minno, Matteo Nicola Dario; D'inca, M.; Falanga, A.; Maggioni, A.; Lerede, T.; Franchini, M.; Gaidano, G.; De Paoli, L.; Gamba, G.; Ghirardi, R; Girotto, M.; Tasca, D.; Grandone, E.; Tiscia, G.; Imberti, D.; Iorio, A.; Landolfi, R; Di Gennaro, L.; Novarese, L.; Mariani, G.; Lapecorella, M.; Marietta, M.; Pedrazzi, P.; Mazzucconi, M.G.; Santoro, C.; Morfini, M.; Linari, S.; Moratelli, S.; Paolini, R.; Piseddu, G.; Poggio, R.; Pogliani, E.; Carpenedo, M.; Remiddi, C.; Santagostino, E.; Mancuso, M.E.; Santoro, R.; Papaleo, G.; Schinco, P.; Borchiellini, A.; Valeri, F.; Scortechini, A.R.; Siragusa, S.; Sottilotta, G.; Squizzato, A.; Tagariello, G.; Sartori, R; Tagliaferri, A.R.; Di Perna, C.; Rivolta, G.F.; Testa, S.; Paoletti, O.; Toschi, V.; Zanon, E.; Brandolin, B.; Hamulyak, K.; Kamphuisen, P.; Laros-van Gorkom, B.; Leebeek, F.W.; Marten, N.; Novakova, I.; Schutgens, R.; van der Linden, P.W.; van Esser, J.; van der Meer, J.; Ypma, P.; Campos, M.; Aguilar, C.; Altisent, C.; Bermejo, N.; Del Campo, R.; Ferreiro Arguelles, M.; Gonzalez Bolos', R.; Gutierrez Pimentel, M.J.; Jimenez-Yuste, V.; Jose-Felix, L.; Marco, P.; Mingot, M.E.; Perez Garrido, R.; Perez Gonzale, N.Z.; Prieto Garcia, M.; Rodriguez-Huerta, A.M.; Sedano, C.; Tolosa Munoz, A.; Baghaei, F.; Tengborn, L.; Boehlen, F.; Korte, W.; Chowdary, P.; Collins, P.; Evans, G.; Pavord, S.; Rangarajan, S.; Wilde, J.

    2012-01-01

    Acquired hemophilia A is a rare bleeding disorder caused by autoantibodies to coagulation FVIII. Bleeding episodes at presentation are spontaneous and severe in most cases. Optimal hemostatic therapy is controversial, and available data are from observational and retrospective studies only. The

  9. Immunosuppression for acquired hemophilia A : results from the European Acquired Haemophilia Registry (EACH2)

    NARCIS (Netherlands)

    Collins, Peter; Baudo, Francesco; Knoebl, Paul; Levesque, Herve; Nemes, Laszlo; Pellegrini, Fabio; Marco, Pascual; Tengborn, Lilian; Huth-Kuehne, Angela; Aspoeck, Gerold; Heistinger, Max; Knobl, Paul; Makipernaa, Anne; Andre, Helene; Aouba, A; Bellucci, Sylvia; Beurrier, Philippe; Borg, Jeanne Yvonne; Darnige, Luc; Devignes, Jean; dOiron, Roseline; Gautier, Philippe; Gay, Valerie; Girault, Stephane; Gruel, Yves; Guerin, Viviane; Hezard, Nathalie; Khellaf, Mehdi; Koenig, Martial; Levesque, Herve; Lifermann, Francois; Marlu, Raphael; Ninet, J.; Peynet, Jocelyne; Quemeneur, Thomas; Rothschild, Chantal; Schleinitz, Nicolas; Sigaud, Marianne; Trouillier, Sebastien; Voisin, Sophie; Giebl, Andreas; Holstein, Katharina; Huth-Kuhne, Angela; Loreth, Ralph M.; Steigerwald, Udo; Tiede, Andreas; Theodossiades, George; Nemes, Laszlo; Radvanyi, Gaspar; Schlammadinger, Agota; Barillari, Giovanni; Pasca, Samantha; Baudo, Francesco; Caimi, T.; Contino, L.; D'Angelo, Armando; Crippa, Luciano; Fattorini, Annalisa; Di Minno, Giovanni; Cerbone, Anna Maria; Di Minno, Matteo Nicola Dario; D'inca, Marco; Falanga, Anna; Maggioni, Anna; Lerede, Teresa; Franchini, Massimo; Gaidano, Gianluca; De Paoli, Lorenzo; Gamba, Gabriella; Ghirardi, Raffaele; Girotto, Mauro; Tasca, Delios; Grandone, Elvira; Tiscia, Giovanni; Imberti, Davide; Iorio, Alfonso; Landolfi, Raffaele; Di Gennaro, Leonardo; Novarese, Linda; Mariani, Guglielmo; Lapecorella, Mario; Marietta, Marco; Pedrazzi, Paola; Mazzucconi, Maria Gabriella; Santoro, Cristina; Morfini, Massimo; Linari, Silvia; Moratelli, Stefano; Paolini, Rossella; Piseddu, Gavino; Poggio, Renzo; Pogliani, Enrico; Carpenedo, Monica; Remiddi, Chiara; Santagostino, Elena; Mancuso, Maria Elisa; Santoro, Rita; Papaleo, Giuseppina; Schinco, Piercarla; Borchiellini, Alessandra; Valeri, Federica; Scortechini, Anna Rita; Siragusa, Sergio; Sottilotta, Gianluca; Squizzato, Alessandro; Tagariello, Giuseppe; Sartori, Roberto; Tagliaferri, Anna Rita; Di Perna, Caterina; Rivolta, Gianna Franca; Testa, Sophie; Paoletti, Oriana; Toschi, Vincenzo; Zanon, Ezio; Brandolin, Barbara; Hamulyak, Karly; Kamphuisen, Pieter; Laros-van Gorkom, Britta; Leebeek, Frank W.G.; Marten, Nijziel; Novakova, Irena; Schutgens, Roger; van der Linden, P.W.G; van Esser, Joost; van der Meer, J.; Ypma, Paula; Campos, Manuel; Aguilar, Carlos; Altisent, Carmen; Bermejo, Nuria; Del Campo, Raquel; Ferreiro Arguelles, M.; Gonzalez Boullosa, Rosario; Gutierrez Pimentel, Maria Jose; Jimenez-Yuste, Victor [No Value; Jose-Felix, Lucia; Marco, Pascual; Mingot, Maria Eva; Perez Garrido, Rosario; Perez Gonzale, Noelia z; Prieto Garcia, Manuel; Rodriguez-Huerta, Ana Maria; Maranon, HGUG [No Value; Sedano, Carmen; Tolosa Munoz, Alexandra; Baghaei, Fariba; Tengborn, Lilian; Boehlen, Francoise; Korte, Wolfgang; Chowdary, Pratima; Collins, Peter; Evans, Gillian; Pavord, Suzanne; Rangarajan, Savita; Wilde, Jonathan

    2012-01-01

    Acquired hemophilia A (AHA) is an autoimmune disease caused by an autoantibody to factor VIII. Patients are at risk of severe and fatal hemorrhage until the inhibitor is eradicated, and guidelines recommend immunosuppression as soon as the diagnosis has been made. The optimal immunosuppressive

  10. Immunosuppression for acquired hemophilia A: results from the European Acquired Haemophilia Registry (EACH2)

    NARCIS (Netherlands)

    Collins, Peter; Baudo, Francesco; Knoebl, Paul; Lévesque, Hervé; Nemes, László; Pellegrini, Fabio; Marco, Pascual; Tengborn, Lilian; Huth-Kühne, Angela; Aspoeck, Gerold; Heistinger, Max; Knöbl, Paul; Makipernaa, Anne; André, Hélène; Aouba, Achille; Bellucci, Sylvia; Beurrier, Philippe; Borg, Jeanne Yvonne; Darnige, Luc; Devignes, Jean; d'Oiron, Roseline; Gautier, Philippe; Gay, Valérie; Girault, Stéphane; Gruel, Yves; Guerin, Viviane; Hézard, Nathalie; Khellaf, Mehdi; Koenig, Martial; Lifermann, François; Marlu, Raphael; Ninet, Jacques; Peynet, Jocelyne; Quéméneur, Thomas; Rothschild, Chantal; Schleinitz, Nicolas; Sigaud, Marianne; Trouillier, Sébastien; Voisin, Sophie; Giebl, Andreas; Holstein, Katharina; Loreth, Ralph M.; Steigerwald, Udo; Tiede, Andreas; Theodossiades, George; Radvanyi, Gaspar; Schlammadinger, Agota; Barillari, Giovanni; Pasca, Samantha; Caimi, Teresa; Contino, Laura; D'Angelo Armando, Crippa Luciano; Fattorini, Annalisa; Di Minno, Giovanni; Cerbone, Anna Maria; Di Minno, Dario; D'incà, Marco; Falanga, Anna; Maggioni, Anna; Lerede, Teresa; Franchini, Massimo; Gaidano, Gianluca; de Paoli, Lorenzo; Gamba, Gabriella; Ghirardi, Raffaele; Girotto, Mauro; Tasca, Delios; Grandone, Elvira; Tiscia, Giovanni; Imberti, Davide; Iorio, Alfonso; Landolfi, Raffaele; Di Gennaro, Leonardo; Novarese, Linda; Mariani, Guglielmo; Lapecorella, Mario; Marietta, Marco; Pedrazzi, Paola; Mazzucconi, Maria Gabriella; Santoro, Cristina; Morfini, Massimo; Linari, Silvia; Moratelli, Stefano; Paolini, Rossella; Piseddu, Gavino; Poggio, Renzo; Pogliani, Enrico; Carpenedo, Monica; Remiddi, Chiara; Santagostino, Elena; Mancuso, Maria Elisa; Santoro, Rita; Papaleo, Giuseppina; Schinco, Piercarla; Borchiellini, Alessandra; Valeri, Federica; Scortechini, Anna Rita; Siragusa, Sergio; Sottilotta, Gianluca; Squizzato, Alessandro; Tagariello, Giuseppe; Sartori, Roberto; Tagliaferri, Anna Rita; Di Perna, Caterina; Rivolta, Gianna Franca; Testa, Sophie; Paoletti, Oriana; Toschi, Vincenzo; Zanon, Ezio; Brandolin, Barbara; Hamulyák, Karly; Kamphuisen, Pieter; Laros-van Gorkom, Britta; Leebeek, Frank W. G.; Marten, Nijziel; Novakova, Irena; Schutgens, Roger; van der Linden, P. W. G.; van Esser, Joost; van der Meer, J.; Ypma, Paula; Campos, Manuel; Aguilar, Carlos; Altisent, Carmen; Bermejo, Nuria; del Campo, Raquel; Ferreiro Argüelles, María; González Boullosa, Rosario; Gutiérrez Pimentel, María José; Jiménez-Yuste, Victor; Jose-Felix, Lucia; Mingot, Maria Eva; Perez Garrido, Rosario; Perez Gonzale, Noelia Z.; Prieto Garcia, Manuel; Rodriguez-Huerta, Ana María; Sedano, Carmen; Tolosa Munoz, Alexandra; Baghaei, Fariba; Boehlen, Françoise; Korte, Wolfgang; Chowdary, Pratima; Evans, Gillian; Pavord, Suzanne; Rangarajan, Savita; Wilde, Jonathan

    2012-01-01

    Acquired hemophilia A (AHA) is an autoimmune disease caused by an autoantibody to factor VIII. Patients are at risk of severe and fatal hemorrhage until the inhibitor is eradicated, and guidelines recommend immunosuppression as soon as the diagnosis has been made. The optimal immunosuppressive

  11. Management of bleeding in acquired hemophilia A: results from the European Acquired Haemophilia (EACH2) Registry

    NARCIS (Netherlands)

    Baudo, Francesco; Collins, Peter; Huth-Kühne, Angela; Lévesque, Hervé; Marco, Pascual; Nemes, László; Pellegrini, Fabio; Tengborn, Lilian; Knoebl, Paul; Aspoeck, Gerold; Heistinger, Max; Knöbl, Paul; Makipernaa, Anne; André, Hélène; Aouba, Achille; Bellucci, Sylvia; Beurrier, Philippe; Borg, Jeanne Yvonne; Darnige, Luc; Devignes, Jean; d'Oiron, Roseline; Gautier, Philippe; Gay, Valérie; Girault, Stéphane; Gruel, Yves; Guerin, Viviane; Hézard, Nathalie; Khellaf, Mehdi; Koenig, Martial; Lifermann, François; Marlu, Raphael; Ninet, Jacques; Peynet, Jocelyne; Quéméneur, Thomas; Rothschild, Chantal; Schleinitz, Nicolas; Sigaud, Marianne; Trouillier, Sébastien; Voisin, Sophie; Giebl, Andreas; Holstein, Katharina; Loreth, Ralph M.; Steigerwald, Udo; Tiede, Andreas; Theodossiades, George; Radvanyi, Gaspar; Schlammadinger, Agota; Barillari, Giovanni; Pasca, Samantha; Caimi, Teresa; Contino, Laura; D'Angelo Armando, Crippa Luciano; Fattorini, Annalisa; Di Minno, Giovanni; Cerbone, Anna Maria; Di Minno, Dario; D'incà, Marco; Falanga, Anna; Maggioni, Anna; Lerede, Teresa; Franchini, Massimo; Gaidano, Gianluca; de Paoli, Lorenzo; Gamba, Gabriella; Ghirardi, Raffaele; Girotto, Mauro; Tasca, Delios; Grandone, Elvira; Tiscia, Giovanni; Imberti, Davide; Iorio, Alfonso; Landolfi, Raffaele; Di Gennaro, Leonardo; Novarese, Linda; Mariani, Guglielmo; Lapecorella, Mario; Marietta, Marco; Pedrazzi, Paola; Mazzucconi, Maria Gabriella; Santoro, Cristina; Morfini, Massimo; Linari, Silvia; Moratelli, Stefano; Paolini, Rossella; Piseddu, Gavino; Poggio, Renzo; Pogliani, Enrico; Carpenedo, Monica; Remiddi, Chiara; Santagostino, Elena; Mancuso, Maria Elisa; Santoro, Rita; Papaleo, Giuseppina; Schinco, Piercarla; Borchiellini, Alessandra; Valeri, Federica; Scortechini, Anna Rita; Siragusa, Sergio; Sottilotta, Gianluca; Squizzato, Alessandro; Tagariello, Giuseppe; Sartori, Roberto; Tagliaferri, Anna Rita; Di Perna, Caterina; Rivolta, Gianna Franca; Testa, Sophie; Paoletti, Oriana; Toschi, Vincenzo; Zanon, Ezio; Brandolin, Barbara; Hamulyák, Karly; Kamphuisen, Pieter; Laros-van Gorkom, Britta; Leebeek, Frank W. G.; Marten, Nijziel; Novakova, Irena; Schutgens, Roger; van der Linden, P. W. G.; van Esser, Joost; van der Meer, J.; Ypma, Paula; Campos, Manuel; Aguilar, Carlos; Altisent, Carmen; Bermejo, Nuria; del Campo, Raquel; Ferreiro Argüelles, María; González Boullosa, Rosario; Gutiérrez Pimentel, María José; Jiménez-Yuste, Victor; Jose-Felix, Lucia; Mingot, Maria Eva; Perez Garrido, Rosario; Perez Gonzale, Noelia Z.; Prieto Garcia, Manuel; Rodriguez-Huerta, Ana María; Sedano, Carmen; Tolosa Munoz, Alexandra; Baghaei, Fariba; Boehlen, Françoise; Korte, Wolfgang; Chowdary, Pratima; Evans, Gillian; Pavord, Suzanne; Rangarajan, Savita; Wilde, Jonathan

    2012-01-01

    Acquired hemophilia A is a rare bleeding disorder caused by autoantibodies to coagulation FVIII. Bleeding episodes at presentation are spontaneous and severe in most cases. Optimal hemostatic therapy is controversial, and available data are from observational and retrospective studies only. The

  12. 17 CFR 210.3-05 - Financial statements of businesses acquired or to be acquired.

    Science.gov (United States)

    2010-04-01

    ... acquired business have been reflected in the audited consolidated financial statements of the registrant... 17 Commodity and Securities Exchanges 2 2010-04-01 2010-04-01 false Financial statements of... SECURITIES AND EXCHANGE COMMISSION FORM AND CONTENT OF AND REQUIREMENTS FOR FINANCIAL STATEMENTS, SECURITIES...

  13. Segmented block copolymers based on poly(propylene oxide) and monodisperse polyamide-6,T segments

    NARCIS (Netherlands)

    van der Schuur, J.M.; Gaymans, R.J.

    2006-01-01

    Polyether(ester amide)s with poly(propylene oxide) (PPO) and monodisperse poly(hexamethylene terephthalamide) segments were synthesized, and their structure-property relations were investigated. The length of the amide segments was varied from diamide to tetraamide to hexaamide segments, and

  14. A Multiatlas Segmentation Using Graph Cuts with Applications to Liver Segmentation in CT Scans

    Science.gov (United States)

    2014-01-01

    An atlas-based segmentation approach is presented that combines low-level operations, an affine probabilistic atlas, and a multiatlas-based segmentation. The proposed combination provides highly accurate segmentation due to registrations and atlas selections based on the regions of interest (ROIs) and coarse segmentations. Our approach shares the following common elements between the probabilistic atlas and multiatlas segmentation: (a) the spatial normalisation and (b) the segmentation method, which is based on minimising a discrete energy function using graph cuts. The method is evaluated for the segmentation of the liver in computed tomography (CT) images. Low-level operations define a ROI around the liver from an abdominal CT. We generate a probabilistic atlas using an affine registration based on geometry moments from manually labelled data. Next, a coarse segmentation of the liver is obtained from the probabilistic atlas with low computational effort. Then, a multiatlas segmentation approach improves the accuracy of the segmentation. Both the atlas selections and the nonrigid registrations of the multiatlas approach use a binary mask defined by coarse segmentation. We experimentally demonstrate that this approach performs better than atlas selections and nonrigid registrations in the entire ROI. The segmentation results are comparable to those obtained by human experts and to other recently published results. PMID:25276219

  15. Mild toxic anterior segment syndrome mimicking delayed onset toxic anterior segment syndrome after cataract surgery

    Directory of Open Access Journals (Sweden)

    Su-Na Lee

    2014-01-01

    Full Text Available Toxic anterior segment syndrome (TASS is an acute sterile postoperative anterior segment inflammation that may occur after anterior segment surgery. I report herein a case that developed mild TASS in one eye after bilateral uneventful cataract surgery, which was masked during early postoperative period under steroid eye drop and mimicking delayed onset TASS after switching to weaker steroid eye drop.

  16. GeoSegmenter: A statistically learned Chinese word segmenter for the geoscience domain

    Science.gov (United States)

    Huang, Lan; Du, Youfu; Chen, Gongyang

    2015-03-01

    Unlike English, the Chinese language has no space between words. Segmenting texts into words, known as the Chinese word segmentation (CWS) problem, thus becomes a fundamental issue for processing Chinese documents and the first step in many text mining applications, including information retrieval, machine translation and knowledge acquisition. However, for the geoscience subject domain, the CWS problem remains unsolved. Although a generic segmenter can be applied to process geoscience documents, they lack the domain specific knowledge and consequently their segmentation accuracy drops dramatically. This motivated us to develop a segmenter specifically for the geoscience subject domain: the GeoSegmenter. We first proposed a generic two-step framework for domain specific CWS. Following this framework, we built GeoSegmenter using conditional random fields, a principled statistical framework for sequence learning. Specifically, GeoSegmenter first identifies general terms by using a generic baseline segmenter. Then it recognises geoscience terms by learning and applying a model that can transform the initial segmentation into the goal segmentation. Empirical experimental results on geoscience documents and benchmark datasets showed that GeoSegmenter could effectively recognise both geoscience terms and general terms.

  17. Optoacoustic image segmentation based on signal domain analysis

    Directory of Open Access Journals (Sweden)

    Christian Lutzweiler

    2015-12-01

    Full Text Available Efficient segmentation of optoacoustic images has importance in enhancing the diagnostic and quantification capacity of this modality. It may also aid in improving the tomographic reconstruction accuracy by accounting for heterogeneous optical and acoustic tissue properties. In particular, when imaging through complex biological tissues, the real acoustic properties often deviate considerably from the idealized assumptions of homogenous conditions, which may lead to significant image artifacts if not properly accounted for. Although several methods have been proposed aiming at estimating and accounting for the complex acoustic properties in the image domain, accurate delineation of structures is often hindered by low contrast of the images and other artifacts produced due to incomplete tomographic coverage and heuristic assignment of the tissue properties during the reconstruction process. In this letter, we propose instead a signal domain analysis approach that retrieves acoustic properties of the object to be reconstructed from characteristic features of the detected optoacoustic signals prior to image reconstruction. Performance of the proposed method is first tested in simulation and experiment using two-dimensional tissue-mimicking phantoms. Significant improvements in the segmentation abilities and overall reconstructed image quality are further showcased in experimental cross-sectional data acquired from a human finger.

  18. An MRI digital brain phantom for validation of segmentation methods.

    Science.gov (United States)

    Alfano, Bruno; Comerci, Marco; Larobina, Michele; Prinster, Anna; Hornak, Joseph P; Selvan, S Easter; Amato, Umberto; Quarantelli, Mario; Tedeschi, Gioacchino; Brunetti, Arturo; Salvatore, Marco

    2011-06-01

    Knowledge of the exact spatial distribution of brain tissues in images acquired by magnetic resonance imaging (MRI) is necessary to measure and compare the performance of segmentation algorithms. Currently available physical phantoms do not satisfy this requirement. State-of-the-art digital brain phantoms also fall short because they do not handle separately anatomical structures (e.g. basal ganglia) and provide relatively rough simulations of tissue fine structure and inhomogeneity. We present a software procedure for the construction of a realistic MRI digital brain phantom. The phantom consists of hydrogen nuclear magnetic resonance spin-lattice relaxation rate (R1), spin-spin relaxation rate (R2), and proton density (PD) values for a 24 × 19 × 15.5 cm volume of a "normal" head. The phantom includes 17 normal tissues, each characterized by both mean value and variations in R1, R2, and PD. In addition, an optional tissue class for multiple sclerosis (MS) lesions is simulated. The phantom was used to create realistic magnetic resonance (MR) images of the brain using simulated conventional spin-echo (CSE) and fast field-echo (FFE) sequences. Results of mono-parametric segmentation of simulations of sequences with different noise and slice thickness are presented as an example of possible applications of the phantom. The phantom data and simulated images are available online at http://lab.ibb.cnr.it/. Copyright © 2011 Elsevier B.V. All rights reserved.

  19. Novel whole brain segmentation and volume estimation using quantitative MRI

    Energy Technology Data Exchange (ETDEWEB)

    West, J. [Linkoeping University, Radiation Physics, Department of Medical and Health Sciences, Faculty of Health Sciences, Linkoeping (Sweden); Linkoeping University, Center for Medical Imaging Science and Visualization (CMIV), Linkoeping (Sweden); SyntheticMR AB, Linkoeping (Sweden); Warntjes, J.B.M. [Linkoeping University, Center for Medical Imaging Science and Visualization (CMIV), Linkoeping (Sweden); SyntheticMR AB, Linkoeping (Sweden); Linkoeping University and Department of Clinical Physiology UHL, County Council of Oestergoetland, Clinical Physiology, Department of Medical and Health Sciences, Faculty of Health Sciences, Linkoeping (Sweden); Lundberg, P. [Linkoeping University, Center for Medical Imaging Science and Visualization (CMIV), Linkoeping (Sweden); Linkoeping University and Department of Radiation Physics UHL, County Council of Oestergoetland, Radiation Physics, Department of Medical and Health Sciences, Faculty of Health Sciences, Linkoeping (Sweden); Linkoeping University and Department of Radiology UHL, County Council of Oestergoetland, Radiology, Department of Medical and Health Sciences, Faculty of Health Sciences, Linkoeping (Sweden)

    2012-05-15

    Brain segmentation and volume estimation of grey matter (GM), white matter (WM) and cerebro-spinal fluid (CSF) are important for many neurological applications. Volumetric changes are observed in multiple sclerosis (MS), Alzheimer's disease and dementia, and in normal aging. A novel method is presented to segment brain tissue based on quantitative magnetic resonance imaging (qMRI) of the longitudinal relaxation rate R{sub 1}, the transverse relaxation rate R{sub 2} and the proton density, PD. Previously reported qMRI values for WM, GM and CSF were used to define tissues and a Bloch simulation performed to investigate R{sub 1}, R{sub 2} and PD for tissue mixtures in the presence of noise. Based on the simulations a lookup grid was constructed to relate tissue partial volume to the R{sub 1}-R{sub 2}-PD space. The method was validated in 10 healthy subjects. MRI data were acquired using six resolutions and three geometries. Repeatability for different resolutions was 3.2% for WM, 3.2% for GM, 1.0% for CSF and 2.2% for total brain volume. Repeatability for different geometries was 8.5% for WM, 9.4% for GM, 2.4% for CSF and 2.4% for total brain volume. We propose a new robust qMRI-based approach which we demonstrate in a patient with MS. (orig.)

  20. Segmentation of Striatal Brain Structures from High Resolution PET Images

    Directory of Open Access Journals (Sweden)

    Ricardo J. P. C. Farinha

    2009-01-01

    Full Text Available We propose and evaluate an automatic segmentation method for extracting striatal brain structures (caudate, putamen, and ventral striatum from parametric C11-raclopride positron emission tomography (PET brain images. We focus on the images acquired using a novel brain dedicated high-resolution (HRRT PET scanner. The segmentation method first extracts the striatum using a deformable surface model and then divides the striatum into its substructures based on a graph partitioning algorithm. The weighted kernel k-means algorithm is used to partition the graph describing the voxel affinities within the striatum into the desired number of clusters. The method was experimentally validated with synthetic and real image data. The experiments showed that our method was able to automatically extract caudate, ventral striatum, and putamen from the images. Moreover, the putamen could be subdivided into anterior and posterior parts. An automatic method for the extraction of striatal structures from high-resolution PET images allows for inexpensive and reproducible extraction of the quantitative information from these images necessary in brain research and drug development.

  1. Handwriting segmentation of unconstrained Oriya text

    Indian Academy of Sciences (India)

    Segmentation of handwritten text into lines, words and characters is one of the important steps in the handwritten text recognition process. In this paper we propose a water reservoir concept-based scheme for segmentation of unconstrained Oriya handwritten text into individual characters. Here, at first, the text image is ...

  2. Market Segmentation Using Bayesian Model Based Clustering

    NARCIS (Netherlands)

    Van Hattum, P.|info:eu-repo/dai/nl/304848646

    2009-01-01

    This dissertation deals with two basic problems in marketing, that are market segmentation, which is the grouping of persons who share common aspects, and market targeting, which is focusing your marketing efforts on one or more attractive market segments. For the grouping of persons who share

  3. FISICO: Fast Image SegmentatIon COrrection.

    Directory of Open Access Journals (Sweden)

    Waldo Valenzuela

    Full Text Available In clinical diagnosis, medical image segmentation plays a key role in the analysis of pathological regions. Despite advances in automatic and semi-automatic segmentation techniques, time-effective correction tools are commonly needed to improve segmentation results. Therefore, these tools must provide faster corrections with a lower number of interactions, and a user-independent solution to reduce the time frame between image acquisition and diagnosis.We present a new interactive method for correcting image segmentations. Our method provides 3D shape corrections through 2D interactions. This approach enables an intuitive and natural corrections of 3D segmentation results. The developed method has been implemented into a software tool and has been evaluated for the task of lumbar muscle and knee joint segmentations from MR images.Experimental results show that full segmentation corrections could be performed within an average correction time of 5.5±3.3 minutes and an average of 56.5±33.1 user interactions, while maintaining the quality of the final segmentation result within an average Dice coefficient of 0.92±0.02 for both anatomies. In addition, for users with different levels of expertise, our method yields a correction time and number of interaction decrease from 38±19.2 minutes to 6.4±4.3 minutes, and 339±157.1 to 67.7±39.6 interactions, respectively.

  4. Convolutional Neural Networks for SAR Image Segmentation

    DEFF Research Database (Denmark)

    Malmgren-Hansen, David; Nobel-Jørgensen, Morten

    2015-01-01

    Segmentation of Synthetic Aperture Radar (SAR) images has several uses, but it is a difficult task due to a number of properties related to SAR images. In this article we show how Convolutional Neural Networks (CNNs) can easily be trained for SAR image segmentation with good results. Besides...

  5. Storing tooth segments for optimal esthetics

    NARCIS (Netherlands)

    Tuzuner, T.; Turgut, S.; Özen, B.; Kılınç, H.; Bagis, B.

    2016-01-01

    Objective: A fractured whole crown segment can be reattached to its remnant; crowns from extracted teeth may be used as pontics in splinting techniques. We aimed to evaluate the effect of different storage solutions on tooth segment optical properties after different durations. Study design: Sixty

  6. Segmental blood pressure after total hip replacement

    DEFF Research Database (Denmark)

    Gebuhr, Peter Henrik; Soelberg, M; Henriksen, Jens Henrik Sahl

    1992-01-01

    Twenty-nine patients due to have a total hip replacement had their systemic systolic and segmental blood pressures measured prior to operation and 1 and 6 weeks postoperatively. No patients had signs of ischemia. The segmental blood pressure was measured at the ankle and at the toes. A significan...

  7. ESL batteries and multi-segment applications

    Science.gov (United States)

    Hay, J. L.; Pearce, J. G.; Turnbull, L.; Owen, J. R.

    1987-06-01

    A simulation model for nickel cadmium battery cells operating in the environment of a low Earth orbit satellite; simulation applications to investigate the performance of the ESA Simulation Language (ESL) segment or multiprocessor emulation features; a double-precision version of ESL; and development of ESL in equation sorting, segmentation, character handling, and file input/output are described.

  8. Bilateral segmental neurofibromatosis diagnosed during pregnancy.

    Science.gov (United States)

    Maldonado Cid, P; Sendagorta Cudós, E; Noguera Morel, L; Beato Merino, M J

    2011-05-15

    Bilateral segmental neurofibromatosis is a rare subtype of neurofibromatosis type 1 defined by lesions affecting a single segment of the body and crossing the midline, with no systemic involvement. We present a case diagnosed during pregnancy because of the characteristic increase in size of the lesions during this period.

  9. Benefit segmentation of the fitness market.

    Science.gov (United States)

    Brown, J D

    1992-01-01

    While considerate attention is being paid to the fitness and wellness needs of people by healthcare and related marketing organizations, little research attention has been directed to identifying the market segments for fitness based upon consumers' perceived benefits of fitness. This article describes three distinct segments of fitness consumers comprising an estimated 50 percent of households. Implications for marketing strategies are also presented.

  10. 47 CFR 101.1505 - Segmentation plan.

    Science.gov (United States)

    2010-10-01

    ... 47 Telecommunication 5 2010-10-01 2010-10-01 false Segmentation plan. 101.1505 Section 101.1505 Telecommunication FEDERAL COMMUNICATIONS COMMISSION (CONTINUED) SAFETY AND SPECIAL RADIO SERVICES FIXED MICROWAVE SERVICES Service and Technical Rules for the 70/80/90 GHz Bands § 101.1505 Segmentation plan. (a) An entity...

  11. Fingerprint segmentation based on hidden Markov models

    NARCIS (Netherlands)

    Klein, S.; Bazen, A.M.; Veldhuis, Raymond N.J.

    An important step in fingerprint recognition is segmentation. During segmentation the fingerprint image is decomposed into foreground, background and low-quality regions. The foreground is used in the recognition process, the background is ignored. The low-quality regions may or may not be used,

  12. Infants Segment Continuous Events Using Transitional Probabilities

    Science.gov (United States)

    Stahl, Aimee E.; Romberg, Alexa R.; Roseberry, Sarah; Golinkoff, Roberta Michnick; Hirsh-Pasek, Kathryn

    2014-01-01

    Throughout their 1st year, infants adeptly detect statistical structure in their environment. However, little is known about whether statistical learning is a primary mechanism for event segmentation. This study directly tests whether statistical learning alone is sufficient to segment continuous events. Twenty-eight 7- to 9-month-old infants…

  13. Segmenting Michigan tourists based on distance traveled

    Science.gov (United States)

    Xiamei Xu; Tsao-Fang Yuan; Edwin Gomez; Joseph D. Fridgen

    1998-01-01

    The purpose of this study was to segment Michigan travelers into short, medium and long distance traveler groups by distance that they traveled from home to a primary destination in Michigan, and to compare travel behavior, trip characteristics and sociodemographics among these segments. Significant differences were identified in past trip experiences in Michigan,...

  14. Speech Segmentation Using Bayesian Autoregressive Changepoint Detector

    Directory of Open Access Journals (Sweden)

    P. Sovka

    1998-12-01

    Full Text Available This submission is devoted to the study of the Bayesian autoregressive changepoint detector (BCD and its use for speech segmentation. Results of the detector application to autoregressive signals as well as to real speech are given. BCD basic properties are described and discussed. The novel two-step algorithm consisting of cepstral analysis and BCD for automatic speech segmentation is suggested.

  15. Translocations used to generate chromosome segment duplications ...

    Indian Academy of Sciences (India)

    Supplementary figure 1. (a–i) Putative novel genes created by the breakpoints. Translocation chromosomes are shown with the translocated segment indicated in red and the untranslocated segments in black or blue. Purple arrows indicate whether the chromosome is a donor (arrow pointing up) or a recipient (arrow ...

  16. Translocations used to generate chromosome segment duplications ...

    Indian Academy of Sciences (India)

    progeny bearing a duplication (Dp) of the translocated chromosome segment. Here, 30 ... [Singh P K, Iyer V S, Sowjanya T N, Raj B K and Kasbekar D P 2010 Translocations used to generate chromosome segment duplications in. Neurospora can ... of this work, namely, the definition of breakpoint junction sequences of 12 ...

  17. Creating Web Area Segments with Google Analytics

    Science.gov (United States)

    Segments allow you to quickly access data for a predefined set of Sessions or Users, such as government or education users, or sessions in a particular state. You can then apply this segment to any report within the Google Analytics (GA) interface.

  18. Text Segmentation for Chinese Spell Checking.

    Science.gov (United States)

    Lee, Kin Hong; Lu, Qin; Ng, Mau Kit Michael

    1999-01-01

    Discussion of spell checking for Chinese words proposes a Block-of-Combinations (BOC) text-segmentation method based on frequency of word usage to reduce the word combinations from exponential growth to linear growth. Suggests user interaction to make the segmentation more suitable for spell checking. (Author/LRW)

  19. Moving window segmentation framework for point clouds

    NARCIS (Netherlands)

    Sithole, G.; Gorte, B.G.H.

    2012-01-01

    As lidar point clouds become larger streamed processing becomes more attractive. This paper presents a framework for the streamed segmentation of point clouds with the intention of segmenting unstructured point clouds in real-time. The framework is composed of two main components. The first

  20. Webpage Segments Classification with Incremental Knowledge Acquisition

    Science.gov (United States)

    Guo, Wei; Kim, Yang Sok; Kang, Byeong Ho

    This paper suggests an incremental information extraction method for social network analysis of web publications. For this purpose, we employed an incremental knowledge acquisition method, called MCRDR (Multiple Classification Ripple-Down Rules), to classify web page segments. Our experimental results show that our MCRDR-based web page segments classification system successfully supports easy acquisition and maintenance of information extraction rules.

  1. Limb-segment selection in drawing behaviour

    NARCIS (Netherlands)

    Meulenbroek, R G; Rosenbaum, D A; Thomassen, A.J.W.M.; Schomaker, L R

    How do we select combinations of limb segments to carry out physical tasks? Three possible determinants of limb-segment selection are hypothesized here: (1) optimal amplitudes and frequencies of motion for the effectors; (2) preferred movement axes for the effectors; and (3) a tendency to continue

  2. LIMB-SEGMENT SELECTION IN DRAWING BEHAVIOR

    NARCIS (Netherlands)

    MEULENBROEK, RGJ; ROSENBAUM, DA; THOMASSEN, AJWM; SCHOMAKER, LRB; Schomaker, Lambertus

    How do we select combinations of limb segments to carry out physical tasks? Three possible determinants of limb-segment selection are hypothesized here: (1) optimal amplitudes and frequencies of motion for the effectors; (2) preferred movement axes for the effectors; and (3) a tendency to continue

  3. Protein-segment universe exhibiting transitions at intermediate segment length in conformational subspaces.

    Science.gov (United States)

    Ikeda, Kazuyoshi; Hirokawa, Takatsugu; Higo, Junichi; Tomii, Kentaro

    2008-08-13

    Many studies have examined rules governing two aspects of protein structures: short segments and proteins' structural domains. Nevertheless, the organization and nature of the conformational space of segments with intermediate length between short segments and domains remain unclear. Conformational spaces of intermediate length segments probably differ from those of short segments. We investigated the identification and characterization of the boundary(s) between peptide-like (short segment) and protein-like (long segment) distributions. We generated ensembles embedded in globular proteins comprising segments 10-50 residues long. We explored the relationships between the conformational distribution of segments and their lengths, and also protein structural classes using principal component analysis based on the intra-segment Calpha-Calpha atomic distances. Our statistical analyses of segment conformations and length revealed critical dual transitions in their conformational distribution with segments derived from all four structural classes. Dual transitions were identified with the intermediate phase between the short segments and domains. Consequently, protein segment universes were categorized. i) Short segments (10-22 residues) showed a distribution with a high frequency of secondary structure clusters. ii) Medium segments (23-26 residues) showed a distribution corresponding to an intermediate state of transitions. iii) Long segments (27-50 residues) showed a distribution converging on one huge cluster containing compact conformations with a smaller radius of gyration. This distribution reflects the protein structures' organization and protein domains' origin. Three major conformational components (radius of gyration, structural symmetry with respect to the N-terminal and C-terminal halves, and single-turn/two-turn structure) well define most of the segment universes. Furthermore, we identified several conformational components that were unique to each

  4. Protein-segment universe exhibiting transitions at intermediate segment length in conformational subspaces

    Directory of Open Access Journals (Sweden)

    Hirokawa Takatsugu

    2008-08-01

    Full Text Available Abstract Background Many studies have examined rules governing two aspects of protein structures: short segments and proteins' structural domains. Nevertheless, the organization and nature of the conformational space of segments with intermediate length between short segments and domains remain unclear. Conformational spaces of intermediate length segments probably differ from those of short segments. We investigated the identification and characterization of the boundary(s between peptide-like (short segment and protein-like (long segment distributions. We generated ensembles embedded in globular proteins comprising segments 10–50 residues long. We explored the relationships between the conformational distribution of segments and their lengths, and also protein structural classes using principal component analysis based on the intra-segment Cα-Cα atomic distances. Results Our statistical analyses of segment conformations and length revealed critical dual transitions in their conformational distribution with segments derived from all four structural classes. Dual transitions were identified with the intermediate phase between the short segments and domains. Consequently, protein segment universes were categorized. i Short segments (10–22 residues showed a distribution with a high frequency of secondary structure clusters. ii Medium segments (23���26 residues showed a distribution corresponding to an intermediate state of transitions. iii Long segments (27–50 residues showed a distribution converging on one huge cluster containing compact conformations with a smaller radius of gyration. This distribution reflects the protein structures' organization and protein domains' origin. Three major conformational components (radius of gyration, structural symmetry with respect to the N-terminal and C-terminal halves, and single-turn/two-turn structure well define most of the segment universes. Furthermore, we identified several

  5. TRAJECTORY-BASED REGISTRATION OF 3D LIDAR POINT CLOUDS ACQUIRED WITH A MOBILE MAPPING SYSTEM

    Directory of Open Access Journals (Sweden)

    A. Gressin

    2012-07-01

    Full Text Available Thanks to a hybrid georeferencing unit coupling GNSS and IMU sensors, mobile mapping systems (MMS with lidar sensors provide accurate 3D point clouds of the acquired areas, mainly urban cities. When dealing with several acquisitions of the same area with the same device, differences in the range of several tens of centimeters can be observed. Such degradation of the georeferencing accuracies are due to two main reasons: inertial drift and losses of GNSS signals in urban corridors. The purpose of this paper is therefore to correct these differences with an accurate ICP-based registration algorithm, and then to correct the MMS trajectory using these retrieved local transformation parameters.The trajectory loop information plays a key role for that purpose. We propose a four-step method starting from a 3D point cloud with overlapping parts, and the trajectory of the mobile mapping system. First, a polygonal approximation of the trajectory is computed in order to first divide the whole registration problem in local sub-issues. Secondly, we aim to find all the potential overlapping acquired areas between these segments using simple bounding box intersections. Thirdly, for each pair of overlapping areas, an efficient variant of the ICP algorithm is proposed to (1 prune cases where segments do not share point clouds of the same areas and (2 retrieve the transformation parameters, for real overlapping cases. Finally, all these transformations are linked together, and fed into a global distance compensation problem, allowing to adjust the MMS trajectories for several passages. As a conclusion, this method is successfully applied to data acquired over Paris (France with the Stereopolis mobile mapping system.

  6. Preschoolers Acquire General Knowledge by Sharing in Pretense

    Science.gov (United States)

    Sutherland, Shelbie L.; Friedman, Ori

    2012-01-01

    Children acquire general knowledge about many kinds of things, but there are few known means by which this knowledge is acquired. In this article, it is proposed that children acquire generic knowledge by sharing in pretend play. In Experiment 1, twenty-two 3- to 4-year-olds watched pretense in which a puppet represented a "nerp" (an unfamiliar…

  7. 30 CFR 879.14 - Management of acquired land.

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 3 2010-07-01 2010-07-01 false Management of acquired land. 879.14 Section 879... ABANDONED MINE LAND RECLAMATION ACQUISITION, MANAGEMENT, AND DISPOSITION OF LANDS AND WATER § 879.14 Management of acquired land. Land acquired under this part may be used for any lawful purpose that is...

  8. Improving image segmentation by learning region affinities

    Energy Technology Data Exchange (ETDEWEB)

    Prasad, Lakshman [Los Alamos National Laboratory; Yang, Xingwei [TEMPLE UNIV.; Latecki, Longin J [TEMPLE UNIV.

    2010-11-03

    We utilize the context information of other regions in hierarchical image segmentation to learn new regions affinities. It is well known that a single choice of quantization of an image space is highly unlikely to be a common optimal quantization level for all categories. Each level of quantization has its own benefits. Therefore, we utilize the hierarchical information among different quantizations as well as spatial proximity of their regions. The proposed affinity learning takes into account higher order relations among image regions, both local and long range relations, making it robust to instabilities and errors of the original, pairwise region affinities. Once the learnt affinities are obtained, we use a standard image segmentation algorithm to get the final segmentation. Moreover, the learnt affinities can be naturally unutilized in interactive segmentation. Experimental results on Berkeley Segmentation Dataset and MSRC Object Recognition Dataset are comparable and in some aspects better than the state-of-art methods.

  9. Anterior Segment Imaging in Combat Ocular Trauma

    Directory of Open Access Journals (Sweden)

    Denise S. Ryan

    2013-01-01

    Full Text Available Purpose. To evaluate the use of ocular imaging to enhance management and diagnosis of war-related anterior segment ocular injuries. Methods. This study was a prospective observational case series from an ongoing IRB-approved combat ocular trauma tracking study. Subjects with anterior segment ocular injury were imaged, when possible, using anterior segment optical coherence tomography (AS-OCT, confocal microscopy (CM, and slit lamp biomicroscopy. Results. Images captured from participants with combat ocular trauma on different systems provided comprehensive and alternate views of anterior segment injury to investigators. Conclusion. In combat-related trauma of the anterior segment, adjunct image acquisition enhances slit lamp examination and enables real time In vivo observation of the cornea facilitating injury characterization, progression, and management.

  10. A Hybrid Technique for Medical Image Segmentation

    Directory of Open Access Journals (Sweden)

    Alamgir Nyma

    2012-01-01

    Full Text Available Medical image segmentation is an essential and challenging aspect in computer-aided diagnosis and also in pattern recognition research. This paper proposes a hybrid method for magnetic resonance (MR image segmentation. We first remove impulsive noise inherent in MR images by utilizing a vector median filter. Subsequently, Otsu thresholding is used as an initial coarse segmentation method that finds the homogeneous regions of the input image. Finally, an enhanced suppressed fuzzy c-means is used to partition brain MR images into multiple segments, which employs an optimal suppression factor for the perfect clustering in the given data set. To evaluate the robustness of the proposed approach in noisy environment, we add different types of noise and different amount of noise to T1-weighted brain MR images. Experimental results show that the proposed algorithm outperforms other FCM based algorithms in terms of segmentation accuracy for both noise-free and noise-inserted MR images.

  11. Efficient segmentation by sparse pixel classification

    DEFF Research Database (Denmark)

    Dam, Erik B; Loog, Marco

    2008-01-01

    Segmentation methods based on pixel classification are powerful but often slow. We introduce two general algorithms, based on sparse classification, for optimizing the computation while still obtaining accurate segmentations. The computational costs of the algorithms are derived, and they are dem......Segmentation methods based on pixel classification are powerful but often slow. We introduce two general algorithms, based on sparse classification, for optimizing the computation while still obtaining accurate segmentations. The computational costs of the algorithms are derived......, and they are demonstrated on real 3-D magnetic resonance imaging and 2-D radiograph data. We show that each algorithm is optimal for specific tasks, and that both algorithms allow a speedup of one or more orders of magnitude on typical segmentation tasks....

  12. Unfolding Implementation in Industrial Market Segmentation

    DEFF Research Database (Denmark)

    Bøjgaard, John; Ellegaard, Chris

    2011-01-01

    Market segmentation is an important method of strategic marketing and constitutes a cornerstone of the marketing literature. It has undergone extensive scientific inquiry during the past 50 years. Reporting on an extensive review of the market segmentation literature, the challenging task...... of implementing industrial market segmentation is discussed and unfolded in this article. Extant literature has identified segmentation implementation as a core challenge for marketers, but also one, which has received limited empirical attention. Future research opportunities are formulated in this article...... to pave the way towards closing this gap. The extent of implementation coverage is assessed and various notions of implementation are identified. Implementation as the task of converting segmentation plans into action (referred to as execution) is identified as a particularly beneficial focus area...

  13. Integrated active contours for texture segmentation.

    Science.gov (United States)

    Sagiv, Chen; Sochen, Nir A; Zeevi, Yehoshua Y

    2006-06-01

    We address the issue of textured image segmentation in the context of the Gabor feature space of images. Gabor filters tuned to a set of orientations, scales and frequencies are applied to the images to create the Gabor feature space. A two-dimensional Riemannian manifold of local features is extracted via the Beltrami framework. The metric of this surface provides a good indicator of texture changes and is used, therefore, in a Beltrami-based diffusion mechanism and in a geodesic active contours algorithm for texture segmentation. The performance of the proposed algorithm is compared with that of the edgeless active contours algorithm applied for texture segmentation. Moreover, an integrated approach, extending the geodesic and edgeless active contours approaches to texture segmentation, is presented. We show that combining boundary and region information yields more robust and accurate texture segmentation results.

  14. Bootstrapping white matter segmentation, Eve++

    Science.gov (United States)

    Plassard, Andrew; Hinton, Kendra E.; Venkatraman, Vijay; Gonzalez, Christopher; Resnick, Susan M.; Landman, Bennett A.

    2015-03-01

    Multi-atlas labeling has come in wide spread use for whole brain labeling on magnetic resonance imaging. Recent challenges have shown that leading techniques are near (or at) human expert reproducibility for cortical gray matter labels. However, these approaches tend to treat white matter as essentially homogeneous (as white matter exhibits isointense signal on structural MRI). The state-of-the-art for white matter atlas is the single-subject Johns Hopkins Eve atlas. Numerous approaches have attempted to use tractography and/or orientation information to identify homologous white matter structures across subjects. Despite success with large tracts, these approaches have been plagued by difficulties in with subtle differences in course, low signal to noise, and complex structural relationships for smaller tracts. Here, we investigate use of atlas-based labeling to propagate the Eve atlas to unlabeled datasets. We evaluate single atlas labeling and multi-atlas labeling using synthetic atlases derived from the single manually labeled atlas. On 5 representative tracts for 10 subjects, we demonstrate that (1) single atlas labeling generally provides segmentations within 2mm mean surface distance, (2) morphologically constraining DTI labels within structural MRI white matter reduces variability, and (3) multi-atlas labeling did not improve accuracy. These efforts present a preliminary indication that single atlas labels with correction is reasonable, but caution should be applied. To purse multi-atlas labeling and more fully characterize overall performance, more labeled datasets would be necessary.

  15. Vessel segmentation in screening mammograms

    Science.gov (United States)

    Mordang, J. J.; Karssemeijer, N.

    2015-03-01

    Blood vessels are a major cause of false positives in computer aided detection systems for the detection of breast cancer. Therefore, the purpose of this study is to construct a framework for the segmentation of blood vessels in screening mammograms. The proposed framework is based on supervised learning using a cascade classifier. This cascade classifier consists of several stages where in each stage a GentleBoost classifier is trained on Haar-like features. A total of 30 cases were included in this study. In each image, vessel pixels were annotated by selecting pixels on the centerline of the vessel, control samples were taken by annotating a region without any visible vascular structures. This resulted in a total of 31,000 pixels marked as vascular and over 4 million control pixels. After training, the classifier assigns a vesselness likelihood to the pixels. The proposed framework was compared to three other vessel enhancing methods, i) a vesselness filter, ii) a gaussian derivative filter, and iii) a tubeness filter. The methods were compared in terms of area under the receiver operating characteristics curves, the Az values. The Az value of the cascade approach is 0:85. This is superior to the vesselness, Gaussian, and tubeness methods, with Az values of 0:77, 0:81, and 0:78, respectively. From these results, it can be concluded that our proposed framework is a promising method for the detection of vessels in screening mammograms.

  16. Risk Assessment Update: Russian Segment

    Science.gov (United States)

    Christiansen, Eric; Lear, Dana; Hyde, James; Bjorkman, Michael; Hoffman, Kevin

    2012-01-01

    BUMPER-II version 1.95j source code was provided to RSC-E- and Khrunichev at January 2012 MMOD TIM in Moscow. MEMCxP and ORDEM 3.0 environments implemented as external data files. NASA provided a sample ORDEM 3.0 g."key" & "daf" environment file set for demonstration and benchmarking BUMPER -II v1.95j installation at the Jan-12 TIM. ORDEM 3.0 has been completed and is currently in beta testing. NASA will provide a preliminary set of ORDEM 3.0 ".key" & ".daf" environment files for the years 2012 through 2028. Bumper output files produced using the new ORDEM 3.0 data files are intended for internal use only, not for requirements verification. Output files will contain these words ORDEM FILE DESCRIPTION = PRELIMINARY VERSION: not for production. The projectile density term in many BUMPER-II ballistic limit equations will need to be updated. Cube demo scripts and output files delivered at the Jan-12 TIM have been updated for the new ORDEM 3.0 data files. Risk assessment results based on ORDEM 3.0 and MEM will be presented for the Russian Segment (RS) of ISS.

  17. Membrane Shell Reflector Segment Antenna

    Science.gov (United States)

    Fang, Houfei; Im, Eastwood; Lin, John; Moore, James

    2012-01-01

    The mesh reflector is the only type of large, in-space deployable antenna that has successfully flown in space. However, state-of-the-art large deployable mesh antenna systems are RF-frequency-limited by both global shape accuracy and local surface quality. The limitations of mesh reflectors stem from two factors. First, at higher frequencies, the porosity and surface roughness of the mesh results in loss and scattering of the signal. Second, the mesh material does not have any bending stiffness and thus cannot be formed into true parabolic (or other desired) shapes. To advance the deployable reflector technology at high RF frequencies from the current state-of-the-art, significant improvements need to be made in three major aspects: a high-stability and highprecision deployable truss; a continuously curved RF reflecting surface (the function of the surface as well as its first derivative are both continuous); and the RF reflecting surface should be made of a continuous material. To meet these three requirements, the Membrane Shell Reflector Segment (MSRS) antenna was developed.

  18. Cruise control for segmented flow.

    Science.gov (United States)

    Abolhasani, Milad; Singh, Mayank; Kumacheva, Eugenia; Günther, Axel

    2012-11-21

    Capitalizing on the benefits of microscale segmented flows, e.g., enhanced mixing and reduced sample dispersion, so far requires specialist training and accommodating a few experimental inconveniences. For instance, microscale gas-liquid flows in many current setups take at least 10 min to stabilize and iterative manual adjustments are needed to achieve or maintain desired mixing or residence times. Here, we report a cruise control strategy that overcomes these limitations and allows microscale gas-liquid (bubble) and liquid-liquid (droplet) flow conditions to be rapidly "adjusted" and maintained. Using this strategy we consistently establish bubble and droplet flows with dispersed phase (plug) velocities of 5-300 mm s(-1), plug lengths of 0.6-5 mm and continuous phase (slug) lengths of 0.5-3 mm. The mixing times (1-5 s), mass transfer times (33-250 ms) and residence times (3-300 s) can therefore be directly imposed by dynamically controlling the supply of the dispersed and the continuous liquids either from external pumps or from local pressurized reservoirs. In the latter case, no chip-external pumps, liquid-perfused tubes or valves are necessary while unwanted dead volumes are significantly reduced.

  19. SEGMENTATION OF SME PORTFOLIO IN BANKING SYSTEM

    Directory of Open Access Journals (Sweden)

    Namolosu Simona Mihaela

    2013-07-01

    Full Text Available The Small and Medium Enterprises (SMEs represent an important target market for commercial Banks. In this respect, finding the best methods for designing and implementing the optimal marketing strategies (for this target are a continuous concern for the marketing specialists and researchers from the banking system; the purpose is to find the most suitable service model for these companies. SME portfolio of a bank is not homogeneous, different characteristics and behaviours being identified. The current paper reveals empirical evidence about SME portfolio characteristics and segmentation methods used in banking system. Its purpose is to identify if segmentation has an impact in finding the optimal marketing strategies and service model and if this hypothesis might be applicable for any commercial bank, irrespective of country/ region. Some banks are segmenting the SME portfolio by a single criterion: the annual company (official turnover; others are considering also profitability and other financial indicators of the company. In some cases, even the banking behaviour becomes a criterion. For all cases, creating scenarios with different thresholds and estimating the impact in profitability and volumes are two mandatory steps in establishing the final segmentation (criteria matrix. Details about each of these segmentation methods may be found in the paper. Testing the final matrix of criteria is also detailed, with the purpose of making realistic estimations. Example for lending products is provided; the product offer is presented as responding to needs of targeted sub segment and therefore being correlated with the sub segment characteristics. Identifying key issues and trends leads to further action plan proposal. Depending on overall strategy and commercial target of the bank, the focus may shift, one or more sub segments becoming high priority (for acquisition/ activation/ retention/ cross sell/ up sell/ increase profitability etc., while

  20. Colour application on mammography image segmentation

    Science.gov (United States)

    Embong, R.; Aziz, N. M. Nik Ab.; Karim, A. H. Abd; Ibrahim, M. R.

    2017-09-01

    The segmentation process is one of the most important steps in image processing and computer vision since it is vital in the initial stage of image analysis. Segmentation of medical images involves complex structures and it requires precise segmentation result which is necessary for clinical diagnosis such as the detection of tumour, oedema, and necrotic tissues. Since mammography images are grayscale, researchers are looking at the effect of colour in the segmentation process of medical images. Colour is known to play a significant role in the perception of object boundaries in non-medical colour images. Processing colour images require handling more data, hence providing a richer description of objects in the scene. Colour images contain ten percent (10%) additional edge information as compared to their grayscale counterparts. Nevertheless, edge detection in colour image is more challenging than grayscale image as colour space is considered as a vector space. In this study, we implemented red, green, yellow, and blue colour maps to grayscale mammography images with the purpose of testing the effect of colours on the segmentation of abnormality regions in the mammography images. We applied the segmentation process using the Fuzzy C-means algorithm and evaluated the percentage of average relative error of area for each colour type. The results showed that all segmentation with the colour map can be done successfully even for blurred and noisy images. Also the size of the area of the abnormality region is reduced when compare to the segmentation area without the colour map. The green colour map segmentation produced the smallest percentage of average relative error (10.009%) while yellow colour map segmentation gave the largest percentage of relative error (11.367%).