Biologically inspired EM image alignment and neural reconstruction.

Science.gov (United States)

Knowles-Barley, Seymour; Butcher, Nancy J; Meinertzhagen, Ian A; Armstrong, J Douglas

2011-08-15

Three-dimensional reconstruction of consecutive serial-section transmission electron microscopy (ssTEM) images of neural tissue currently requires many hours of manual tracing and annotation. Several computational techniques have already been applied to ssTEM images to facilitate 3D reconstruction and ease this burden. Here, we present an alternative computational approach for ssTEM image analysis. We have used biologically inspired receptive fields as a basis for a ridge detection algorithm to identify cell membranes, synaptic contacts and mitochondria. Detected line segments are used to improve alignment between consecutive images and we have joined small segments of membrane into cell surfaces using a dynamic programming algorithm similar to the Needleman-Wunsch and Smith-Waterman DNA sequence alignment procedures. A shortest path-based approach has been used to close edges and achieve image segmentation. Partial reconstructions were automatically generated and used as a basis for semi-automatic reconstruction of neural tissue. The accuracy of partial reconstructions was evaluated and 96% of membrane could be identified at the cost of 13% false positive detections. An open-source reference implementation is available in the Supplementary information. seymour.kb@ed.ac.uk; douglas.armstrong@ed.ac.uk Supplementary data are available at Bioinformatics online.

PET image reconstruction with rotationally symmetric polygonal pixel grid based highly compressible system matrix

International Nuclear Information System (INIS)

Yu Yunhan; Xia Yan; Liu Yaqiang; Wang Shi; Ma Tianyu; Chen Jing; Hong Baoyu

2013-01-01

To achieve a maximum compression of system matrix in positron emission tomography (PET) image reconstruction, we proposed a polygonal image pixel division strategy in accordance with rotationally symmetric PET geometry. Geometrical definition and indexing rule for polygonal pixels were established. Image conversion from polygonal pixel structure to conventional rectangular pixel structure was implemented using a conversion matrix. A set of test images were analytically defined in polygonal pixel structure, converted to conventional rectangular pixel based images, and correctly displayed which verified the correctness of the image definition, conversion description and conversion of polygonal pixel structure. A compressed system matrix for PET image recon was generated by tap model and tested by forward-projecting three different distributions of radioactive sources to the sinogram domain and comparing them with theoretical predictions. On a practical small animal PET scanner, a compress ratio of 12.6:1 of the system matrix size was achieved with the polygonal pixel structure, comparing with the conventional rectangular pixel based tap-mode one. OS-EM iterative image reconstruction algorithms with the polygonal and conventional Cartesian pixel grid were developed. A hot rod phantom was detected and reconstructed based on these two grids with reasonable time cost. Image resolution of reconstructed images was both 1.35 mm. We conclude that it is feasible to reconstruct and display images in a polygonal image pixel structure based on a compressed system matrix in PET image reconstruction. (authors)

Time-of-flight PET image reconstruction using origin ensembles

Science.gov (United States)

Wülker, Christian; Sitek, Arkadiusz; Prevrhal, Sven

2015-03-01

The origin ensemble (OE) algorithm is a novel statistical method for minimum-mean-square-error (MMSE) reconstruction of emission tomography data. This method allows one to perform reconstruction entirely in the image domain, i.e. without the use of forward and backprojection operations. We have investigated the OE algorithm in the context of list-mode (LM) time-of-flight (TOF) PET reconstruction. In this paper, we provide a general introduction to MMSE reconstruction, and a statistically rigorous derivation of the OE algorithm. We show how to efficiently incorporate TOF information into the reconstruction process, and how to correct for random coincidences and scattered events. To examine the feasibility of LM-TOF MMSE reconstruction with the OE algorithm, we applied MMSE-OE and standard maximum-likelihood expectation-maximization (ML-EM) reconstruction to LM-TOF phantom data with a count number typically registered in clinical PET examinations. We analyzed the convergence behavior of the OE algorithm, and compared reconstruction time and image quality to that of the EM algorithm. In summary, during the reconstruction process, MMSE-OE contrast recovery (CRV) remained approximately the same, while background variability (BV) gradually decreased with an increasing number of OE iterations. The final MMSE-OE images exhibited lower BV and a slightly lower CRV than the corresponding ML-EM images. The reconstruction time of the OE algorithm was approximately 1.3 times longer. At the same time, the OE algorithm can inherently provide a comprehensive statistical characterization of the acquired data. This characterization can be utilized for further data processing, e.g. in kinetic analysis and image registration, making the OE algorithm a promising approach in a variety of applications.

Four-dimensional MAP-RBI-EM image reconstruction method with a 4D motion prior for 4D gated myocardial perfusion SPECT

Energy Technology Data Exchange (ETDEWEB)

Lee, Taek-Soo; Tsui, Benjamin M.W. [Johns Hopkins Univ., Baltimore, MD (United States). Dept. of Radiology; Gullberg, Grant T. [Lawrence Berkeley National Laboratory, Berkeley, CA (United States)

2011-07-01

We evaluated and proposed here a 4D maximum a posteriori rescaled-block iterative (MAP-RBI)-EM image reconstruction method with a motion prior to improve the accuracy of 4D gated myocardial perfusion (GMP) SPECT images. We hypothesized that a 4D motion prior which resembles the global motion of the true 4D motion of the heart will improve the accuracy of the reconstructed images with regional myocardial motion defect. Normal heart model in the 4D XCAT (eXtended CArdiac-Torso) phantom is used as the prior in the 4D MAP-RBI-EM algorithm where a Gaussian-shaped distribution is used as the derivative of potential function (DPF) that determines the smoothing strength and range of the prior in the algorithm. The mean and width of the DPF equal to the expected difference between the reconstructed image and the motion prior, and smoothing range, respectively. To evaluate the algorithm, we used simulated projection data from a typical clinical {sup 99m}Tc Sestamibi GMP SPECT study using the 4D XCAT phantom. The noise-free projection data were generated using an analytical projector that included the effects of attenuation, collimator-detector response and scatter (ADS) and Poisson noise was added to generated noisy projection data. The projection datasets were reconstructed using the modified 4D MAP-RBI-EM with various iterations, prior weights, and sigma values as well as with ADS correction. The results showed that the 4D reconstructed image estimates looked more like the motion prior with sharper edges as the weight of prior increased. It also demonstrated that edge preservation of the myocardium in the GMP SPECT images could be controlled by a proper motion prior. The Gaussian-shaped DPF allowed stronger and weaker smoothing force for smaller and larger difference of neighboring voxel values, respectively, depending on its parameter values. We concluded the 4D MAP-RBI-EM algorithm with the general motion prior can be used to provide 4D GMP SPECT images with improved

Optimization of PET image quality by means of 3D data acquisition and iterative image reconstruction

International Nuclear Information System (INIS)

Doll, J.; Zaers, J.; Trojan, H.; Bellemann, M.E.; Adam, L.E.; Haberkorn, U.; Brix, G.

1998-01-01

The experiments were performed at the latest-generation whole-body PET system ECAT EXACT HR + . For 2D data acquisition, a collimator of thin tungsten septa was positioned in the field-of-view. Prior to image reconstruction, the measured 3D data were sorted into 2D sinograms by using the Fourier rebinning (FORE) algorithm developed by M. Defrise. The standard filtered backprojection (FBP) method and an optimized ML/EM algorithm with overrelaxation for accelerated convergence were employed for image reconstruction. The spatial resolution of both methods as well as the convergence and noise properties of the ML/EM algorithm were studied in phantom measurements. Furthermore, patient data were acquired in the 2D mode as well as in the 3D mode and reconstructed with both techniques. At the same spatial resolution, the ML/EM-reconstructed images showed fewer and less prominent artefacts than the FBP-reconstructed images. The resulting improved detail conspicuously was achieved for the data acquired in the 2D mode as well as in the 3D mode. The best image quality was obtained by iterative 2D reconstruction of 3D data sets which were previously rebinned into 2D sinograms with help of the FORE algorithm. The phantom measurements revealed that 50 iteration steps with the otpimized ML/EM algorithm were sufficient to keep the relative quantitation error below 5%. (orig./MG) [de

Application of the OS-EM method to the 123I-IMP ARG method. Comparison between FBP and OS-EM methods

International Nuclear Information System (INIS)

Sasaki, Kazuko; Satou, Ayuko; Oomura, Tomomi; Ono, Madoka; Hachiya, Takenori

2004-01-01

We investigated application of the ordered subsets-expectation maximization (OS-EM) method to the 123 I-IMP autoradiography (ARG) method to measure regional cerebral blood flow (rCBF). First, scan time and subsets were fixed at 20 min and 16, respectively, and the influence of iteration on the cross calibration factor (CCF) and quantitative rCBF values obtained by the ARG method was investigated when the iteration number was set at 2, 4, 8, 16, 32, and 90. Next, with the number of iterations set at 4, we compared the scanning times of OS-EM and filtered back projection (FBP). We determined that the CCF values remained at the same level irrespective of iteration number. Quantitative rCBF values had no association with iteration number, either. Using the quantitative rCBF values obtained by 20-min. scanning with FBP as a standard, the time period for collecting SPECT data was 10 min, without sacrificing image quality or quantification. Quantitative rCBF obtained by OS-EM was estimated to be higher than that by FBP. (author)

Mean-variance analysis of block-iterative reconstruction algorithms modeling 3D detector response in SPECT

Science.gov (United States)

Lalush, D. S.; Tsui, B. M. W.

1998-06-01

We study the statistical convergence properties of two fast iterative reconstruction algorithms, the rescaled block-iterative (RBI) and ordered subset (OS) EM algorithms, in the context of cardiac SPECT with 3D detector response modeling. The Monte Carlo method was used to generate nearly noise-free projection data modeling the effects of attenuation, detector response, and scatter from the MCAT phantom. One thousand noise realizations were generated with an average count level approximating a typical T1-201 cardiac study. Each noise realization was reconstructed using the RBI and OS algorithms for cases with and without detector response modeling. For each iteration up to twenty, we generated mean and variance images, as well as covariance images for six specific locations. Both OS and RBI converged in the mean to results that were close to the noise-free ML-EM result using the same projection model. When detector response was not modeled in the reconstruction, RBI exhibited considerably lower noise variance than OS for the same resolution. When 3D detector response was modeled, the RBI-EM provided a small improvement in the tradeoff between noise level and resolution recovery, primarily in the axial direction, while OS required about half the number of iterations of RBI to reach the same resolution. We conclude that OS is faster than RBI, but may be sensitive to errors in the projection model. Both OS-EM and RBI-EM are effective alternatives to the EVIL-EM algorithm, but noise level and speed of convergence depend on the projection model used.

Parametric image reconstruction using spectral analysis of PET projection data

International Nuclear Information System (INIS)

Meikle, Steven R.; Matthews, Julian C.; Cunningham, Vincent J.; Bailey, Dale L.; Livieratos, Lefteris; Jones, Terry; Price, Pat

1998-01-01

Spectral analysis is a general modelling approach that enables calculation of parametric images from reconstructed tracer kinetic data independent of an assumed compartmental structure. We investigated the validity of applying spectral analysis directly to projection data motivated by the advantages that: (i) the number of reconstructions is reduced by an order of magnitude and (ii) iterative reconstruction becomes practical which may improve signal-to-noise ratio (SNR). A dynamic software phantom with typical 2-[ 11 C]thymidine kinetics was used to compare projection-based and image-based methods and to assess bias-variance trade-offs using iterative expectation maximization (EM) reconstruction. We found that the two approaches are not exactly equivalent due to properties of the non-negative least-squares algorithm. However, the differences are small ( 1 and, to a lesser extent, VD). The optimal number of EM iterations was 15-30 with up to a two-fold improvement in SNR over filtered back projection. We conclude that projection-based spectral analysis with EM reconstruction yields accurate parametric images with high SNR and has potential application to a wide range of positron emission tomography ligands. (author)

Application of the EM algorithm to radiographic images.

Science.gov (United States)

Brailean, J C; Little, D; Giger, M L; Chen, C T; Sullivan, B J

1992-01-01

The expectation maximization (EM) algorithm has received considerable attention in the area of positron emitted tomography (PET) as a restoration and reconstruction technique. In this paper, the restoration capabilities of the EM algorithm when applied to radiographic images is investigated. This application does not involve reconstruction. The performance of the EM algorithm is quantitatively evaluated using a "perceived" signal-to-noise ratio (SNR) as the image quality metric. This perceived SNR is based on statistical decision theory and includes both the observer's visual response function and a noise component internal to the eye-brain system. For a variety of processing parameters, the relative SNR (ratio of the processed SNR to the original SNR) is calculated and used as a metric to compare quantitatively the effects of the EM algorithm with two other image enhancement techniques: global contrast enhancement (windowing) and unsharp mask filtering. The results suggest that the EM algorithm's performance is superior when compared to unsharp mask filtering and global contrast enhancement for radiographic images which contain objects smaller than 4 mm.

Fast image reconstruction for Compton camera using stochastic origin ensemble approach.

Science.gov (United States)

Andreyev, Andriy; Sitek, Arkadiusz; Celler, Anna

2011-01-01

Compton camera has been proposed as a potential imaging tool in astronomy, industry, homeland security, and medical diagnostics. Due to the inherent geometrical complexity of Compton camera data, image reconstruction of distributed sources can be ineffective and/or time-consuming when using standard techniques such as filtered backprojection or maximum likelihood-expectation maximization (ML-EM). In this article, the authors demonstrate a fast reconstruction of Compton camera data using a novel stochastic origin ensembles (SOE) approach based on Markov chains. During image reconstruction, the origins of the measured events are randomly assigned to locations on conical surfaces, which are the Compton camera analogs of lines-of-responses in PET. Therefore, the image is defined as an ensemble of origin locations of all possible event origins. During the course of reconstruction, the origins of events are stochastically moved and the acceptance of the new event origin is determined by the predefined acceptance probability, which is proportional to the change in event density. For example, if the event density at the new location is higher than in the previous location, the new position is always accepted. After several iterations, the reconstructed distribution of origins converges to a quasistationary state which can be voxelized and displayed. Comparison with the list-mode ML-EM reveals that the postfiltered SOE algorithm has similar performance in terms of image quality while clearly outperforming ML-EM in relation to reconstruction time. In this study, the authors have implemented and tested a new image reconstruction algorithm for the Compton camera based on the stochastic origin ensembles with Markov chains. The algorithm uses list-mode data, is parallelizable, and can be used for any Compton camera geometry. SOE algorithm clearly outperforms list-mode ML-EM for simple Compton camera geometry in terms of reconstruction time. The difference in computational time

Convergence of SART + OS + TV iterative reconstruction algorithm for optical CT imaging of gel dosimeters

International Nuclear Information System (INIS)

Du, Yi; Yu, Gongyi; Xiang, Xincheng; Wang, Xiangang; De Deene, Yves

2017-01-01

Computational simulations are used to investigate the convergence of a hybrid iterative algorithm for optical CT reconstruction, i.e. the simultaneous algebraic reconstruction technique (SART) integrated with ordered subsets (OS) iteration and total variation (TV) minimization regularization, or SART+OS+TV for short. The influence of parameter selection to reach convergence, spatial dose gradient integrity, MTF and convergent speed are discussed. It’s shown that the results of SART+OS+TV algorithm converge to the true values without significant bias, and MTF and convergent speed are affected by different parameter sets used for iterative calculation. In conclusion, the performance of the SART+OS+TV depends on parameter selection, which also implies that careful parameter tuning work is required and necessary for proper spatial performance and fast convergence. (paper)

Study on the usefulness of whole body SPECT coronal image, MIP image in 67Ga scintigraphy

International Nuclear Information System (INIS)

Kawamura, Seiji

2002-01-01

In this study, we examined the usefulness of whole body coronal images and whole body cine display MIP images (CMIP) upon which image processing was carried out after whole body SPECT in comparison to the usefulness of whole body images (WB/SC) compensated by scattered radiation in tumor/inflammation scintigraphy with 67 Ga-citrate ( 67 Ga). Image interpretation was performed for the 120 patients with confirmed diagnoses, and the accuracy of their diagnoses was studied by three nuclear medical physicians and two clinical radiological technologists by means of sensitivity, specificity and ROC analysis. The resultant data show that sensitivity, specificity, accuracy and the area under the ROC curve Az in the WB/SC were approximately 65%, 86%, 74% and 0.724, respectively, whereas sensitivity, specificity, accuracy and Az of the image reading system in which CMIP is combined with whole body coronal images reconstructed by the OS-EM method were approximately 93%, 95%, 94% and 0.860, respectively. Furthermore, coronal images reconstructed by the OS-EM method tended to be superior to those produced by the FBP method in both diagnostic accuracy and ROC analysis. In conclusion, the image reading system in which CMIP is combined with whole body coronal images reconstructed by the OS-EM method was shown to be superior in diagnostic accuracy and ROC analysis. Our data suggest that whole body SPECT is an excellent technique as an alternative to WB/SC. (author)

A study of reconstruction accuracy for a cardiac SPECT system with multi-segmental collimation

International Nuclear Information System (INIS)

Yu, D.C.; Chang, W.; Pan, T.S.

1996-01-01

To improve the geometric efficiency of cardiac SPECT imaging, we have previously proposed to use a ring geometry and a multi-segmental collimation. The proposed collimation consists of multiple parallel collimators with most of the segments focused on a small central region, where the patient heart should be positioned. This scheme provides an significantly increased detection efficiency for the central region, but at the expense of reduced efficiency for the surrounding background. We have used computer simulations to evaluate the implication of this scheme on the accuracy of the reconstructed cardiac images. Two imaging situations were simulated, one with the heart well placed in the center, the other with the heart shifted outward and partially outside the central region; a neighboring high uptake liver was also simulated. The images were reconstructed with ML-EM and OS-EM methods using a complete attenuation map. The results indicate the deviation caused by truncation is not significant and is not strongly dependent on the activity of the liver when the heart is well positioned within the central region. The distribution of activity in the myocardium reconstructed with ML-EM or OS-EM is not sensitive to the noisy projections sampled from the background. When the heart is positioned improperly, the image reconstructed from the hybrid emission (a combination of high-count projections through the central region and low-count background projections) can restore the activity for the myocardium with increased noise variances in the section outside the central region

Bayesian image reconstruction for emission tomography based on median root prior

International Nuclear Information System (INIS)

Alenius, S.

1997-01-01

The aim of the present study was to investigate a new type of Bayesian one-step late reconstruction method which utilizes a median root prior (MRP). The method favours images which have locally monotonous radioactivity concentrations. The new reconstruction algorithm was applied to ideal simulated data, phantom data and some patient examinations with PET. The same projection data were reconstructed with filtered back-projection (FBP) and maximum likelihood-expectation maximization (ML-EM) methods for comparison. The MRP method provided good-quality images with a similar resolution to the FBP method with a ramp filter, and at the same time the noise properties were as good as with Hann-filtered FBP images. The typical artefacts seen in FBP reconstructed images outside of the object were completely removed, as was the grainy noise inside the object. Quantitativley, the resulting average regional radioactivity concentrations in a large region of interest in images produced by the MRP method corresponded to the FBP and ML-EM results but at the pixel by pixel level the MRP method proved to be the most accurate of the tested methods. In contrast to other iterative reconstruction methods, e.g. ML-EM, the MRP method was not sensitive to the number of iterations nor to the adjustment of reconstruction parameters. Only the Bayesian parameter β had to be set. The proposed MRP method is much more simple to calculate than the methods described previously, both with regard to the parameter settings and in terms of general use. The new MRP reconstruction method was shown to produce high-quality quantitative emission images with only one parameter setting in addition to the number of iterations. (orig.)

Direct 4D reconstruction of parametric images incorporating anato-functional joint entropy.

Science.gov (United States)

Tang, Jing; Kuwabara, Hiroto; Wong, Dean F; Rahmim, Arman

2010-08-07

We developed an anatomy-guided 4D closed-form algorithm to directly reconstruct parametric images from projection data for (nearly) irreversible tracers. Conventional methods consist of individually reconstructing 2D/3D PET data, followed by graphical analysis on the sequence of reconstructed image frames. The proposed direct reconstruction approach maintains the simplicity and accuracy of the expectation-maximization (EM) algorithm by extending the system matrix to include the relation between the parametric images and the measured data. A closed-form solution was achieved using a different hidden complete-data formulation within the EM framework. Furthermore, the proposed method was extended to maximum a posterior reconstruction via incorporation of MR image information, taking the joint entropy between MR and parametric PET features as the prior. Using realistic simulated noisy [(11)C]-naltrindole PET and MR brain images/data, the quantitative performance of the proposed methods was investigated. Significant improvements in terms of noise versus bias performance were demonstrated when performing direct parametric reconstruction, and additionally upon extending the algorithm to its Bayesian counterpart using the MR-PET joint entropy measure.

Study on the usefulness of whole body SPECT coronal image, MIP image in {sup 67}Ga scintigraphy

Energy Technology Data Exchange (ETDEWEB)

Kawamura, Seiji [Kurume Univ., Fukuoka (Japan). Hospital; Ishibashi, Masatoshi; Kurata, Seiji; Morita, Seiichirou; Hayabuchi, Naofumi [Kurume Univ., Fukuoka (Japan). School of Medicine; Fukushima, Shigehiro [Kyushu Inst. of Design, Fukuoka (Japan). Graduate School of Auditory and Visual Communication Sciences; Umezaki, Noriyoshi [Daiichi Coll. of Pharmaceutical Sciences, Fukuoka (Japan)

2002-05-01

In this study, we examined the usefulness of whole body coronal images and whole body cine display MIP images (CMIP) upon which image processing was carried out after whole body SPECT in comparison to the usefulness of whole body images (WB/SC) compensated by scattered radiation in tumor/inflammation scintigraphy with {sup 67}Ga-citrate ({sup 67}Ga). Image interpretation was performed for the 120 patients with confirmed diagnoses, and the accuracy of their diagnoses was studied by three nuclear medical physicians and two clinical radiological technologists by means of sensitivity, specificity and ROC analysis. The resultant data show that sensitivity, specificity, accuracy and the area under the ROC curve Az in the WB/SC were approximately 65%, 86%, 74% and 0.724, respectively, whereas sensitivity, specificity, accuracy and Az of the image reading system in which CMIP is combined with whole body coronal images reconstructed by the OS-EM method were approximately 93%, 95%, 94% and 0.860, respectively. Furthermore, coronal images reconstructed by the OS-EM method tended to be superior to those produced by the FBP method in both diagnostic accuracy and ROC analysis. In conclusion, the image reading system in which CMIP is combined with whole body coronal images reconstructed by the OS-EM method was shown to be superior in diagnostic accuracy and ROC analysis. Our data suggest that whole body SPECT is an excellent technique as an alternative to WB/SC. (author)

Convergence and resolution recovery of block-iterative EM algorithms modeling 3D detector response in SPECT

International Nuclear Information System (INIS)

Lalush, D.S.; Tsui, B.M.W.; Karimi, S.S.

1996-01-01

We evaluate fast reconstruction algorithms including ordered subsets-EM (OS-EM) and Rescaled Block Iterative EM (RBI-EM) in fully 3D SPECT applications on the basis of their convergence and resolution recovery properties as iterations proceed. Using a 3D computer-simulated phantom consisting of 3D Gaussian objects, we simulated projection data that includes only the effects of sampling and detector response of a parallel-hole collimator. Reconstructions were performed using each of the three algorithms (ML-EM, OS-EM, and RBI-EM) modeling the 3D detector response in the projection function. Resolution recovery was evaluated by fitting Gaussians to each of the four objects in the iterated image estimates at selected intervals. Results show that OS-EM and RBI-EM behave identically in this case; their resolution recovery results are virtually indistinguishable. Their resolution behavior appears to be very similar to that of ML-EM, but accelerated by a factor of twenty. For all three algorithms, smaller objects take more iterations to converge. Next, we consider the effect noise has on convergence. For both noise-free and noisy data, we evaluate the log likelihood function at each subiteration of OS-EM and RBI-EM, and at each iteration of ML-EM. With noisy data, both OS-EM and RBI-EM give results for which the log-likelihood function oscillates. Especially for 180-degree acquisitions, RBI-EM oscillates less than OS-EM. Both OS-EM and RBI-EM appear to converge to solutions, but not to the ML solution. We conclude that both OS-EM and RBI-EM can be effective algorithms for fully 3D SPECT reconstruction. Both recover resolution similarly to ML-EM, only more quickly

Negras(os e brancas(os em publicidades de jornais paranaenses

Directory of Open Access Journals (Sweden)

Paulo Vinícius Baptista da Silva

Full Text Available O artigo discute algumas formas específicas de hierarquização entre brancos(as e negros(as observadas em publicidade divulgada em jornais paranaenses. A partir de banco de dados sobre o negro em três jornais impressos de Curitiba, Gazeta do Povo, O Estado do Paraná e Tribuna do Paraná, entre os anos de 2005 e 2007, foram realizadas uma série de análises sobre aspectos específicos, entre as quais análises de amostras das peças publicitárias dos jornais. Tais peças foram submetidas a técnicas de análise de conteúdo e de análise crítica de discurso, analisando as relações entre personagens brancas(os e negras(os. Os resultados apontam: presença e valorização de certos aspectos de personagens negros; permanência da sub-representação destes e da "branquidade normativa", o branco como norma de humanidade; vinculado a essa a expressão de uma "estética ariana"; a manutenção de velhas e novas formas de hierarquização entre brancos e negros e de estereotipia em relação a personagens negros.

An iterative reconstruction method of complex images using expectation maximization for radial parallel MRI

International Nuclear Information System (INIS)

Choi, Joonsung; Kim, Dongchan; Oh, Changhyun; Han, Yeji; Park, HyunWook

2013-01-01

In MRI (magnetic resonance imaging), signal sampling along a radial k-space trajectory is preferred in certain applications due to its distinct advantages such as robustness to motion, and the radial sampling can be beneficial for reconstruction algorithms such as parallel MRI (pMRI) due to the incoherency. For radial MRI, the image is usually reconstructed from projection data using analytic methods such as filtered back-projection or Fourier reconstruction after gridding. However, the quality of the reconstructed image from these analytic methods can be degraded when the number of acquired projection views is insufficient. In this paper, we propose a novel reconstruction method based on the expectation maximization (EM) method, where the EM algorithm is remodeled for MRI so that complex images can be reconstructed. Then, to optimize the proposed method for radial pMRI, a reconstruction method that uses coil sensitivity information of multichannel RF coils is formulated. Experiment results from synthetic and in vivo data show that the proposed method introduces better reconstructed images than the analytic methods, even from highly subsampled data, and provides monotonic convergence properties compared to the conjugate gradient based reconstruction method. (paper)

Optimal data replication: A new approach to optimizing parallel EM algorithms on a mesh-connected multiprocessor for 3D PET image reconstruction

International Nuclear Information System (INIS)

Chen, C.M.; Lee, S.Y.

1995-01-01

The EM algorithm promises an estimated image with the maximal likelihood for 3D PET image reconstruction. However, due to its long computation time, the EM algorithm has not been widely used in practice. While several parallel implementations of the EM algorithm have been developed to make the EM algorithm feasible, they do not guarantee an optimal parallelization efficiency. In this paper, the authors propose a new parallel EM algorithm which maximizes the performance by optimizing data replication on a mesh-connected message-passing multiprocessor. To optimize data replication, the authors have formally derived the optimal allocation of shared data, group sizes, integration and broadcasting of replicated data as well as the scheduling of shared data accesses. The proposed parallel EM algorithm has been implemented on an iPSC/860 with 16 PEs. The experimental and theoretical results, which are consistent with each other, have shown that the proposed parallel EM algorithm could improve performance substantially over those using unoptimized data replication

Dual matrix ordered subsets reconstruction for accelerated 3D scatter compensation in single-photon emission tomography

International Nuclear Information System (INIS)

Kamphuis, C.; Beekman, F.J.; Van Rijk, P.P.; Viergever, M.A.

1998-01-01

Three-dimensional (3D) iterative maximum likelihood expectation maximization (ML-EM) algorithms for single-photon emission tomography (SPET) are capable of correcting image-degrading effects of non-uniform attenuation, distance-dependent camera response and patient shape-dependent scatter. However, the resulting improvements in quantitation, resolution and signal-to-noise ratio (SNR) are obtained at the cost of a huge computational burden. This paper presents a new acceleration method for ML-EM: dual matrix ordered subsets (DM-OS). DM-OS combines two acceleration methods: (a) different matrices for projection and back-projection and (b) ordered subsets of projections. DM-OS was compared with ML-EM on simulated data and on physical thorax phantom data, for both 180 and 360 orbits. Contrast, normalized standard deviation and mean squared error were calculated for the digital phantom experiment. DM-OS resulted in similar image quality to ML-EM, even for speed-up factors of 200 compared to ML-EM in the case of 120 projections. The thorax phantom data could be reconstructed 50 times faster (60 projections) using DM-OS with preservation of image quality. ML-EM and DM-OS with scatter compensation showed significant improvement of SNR compared to ML-EM without scatter compensation. Furthermore, inclusion of complex image formation models in the computer code is simplified in the case of DM-OS. It is thus shown that DM-OS is a fast and relatively simple algorithm for 3D iterative scatter compensation, with similar results to conventional ML-EM, for both 180 and 360 acquired data. (orig.)

LOR-interleaving image reconstruction for PET imaging with fractional-crystal collimation

International Nuclear Information System (INIS)

Li, Yusheng; Matej, Samuel; Karp, Joel S; Metzler, Scott D

2015-01-01

Positron emission tomography (PET) has become an important modality in medical and molecular imaging. However, in most PET applications, the resolution is still mainly limited by the physical crystal sizes or the detector’s intrinsic spatial resolution. To achieve images with better spatial resolution in a central region of interest (ROI), we have previously proposed using collimation in PET scanners. The collimator is designed to partially mask detector crystals to detect lines of response (LORs) within fractional crystals. A sequence of collimator-encoded LORs is measured with different collimation configurations. This novel collimated scanner geometry makes the reconstruction problem challenging, as both detector and collimator effects need to be modeled to reconstruct high-resolution images from collimated LORs. In this paper, we present a LOR-interleaving (LORI) algorithm, which incorporates these effects and has the advantage of reusing existing reconstruction software, to reconstruct high-resolution images for PET with fractional-crystal collimation. We also develop a 3D ray-tracing model incorporating both the collimator and crystal penetration for simulations and reconstructions of the collimated PET. By registering the collimator-encoded LORs with the collimator configurations, high-resolution LORs are restored based on the modeled transfer matrices using the non-negative least-squares method and EM algorithm. The resolution-enhanced images are then reconstructed from the high-resolution LORs using the MLEM or OSEM algorithm. For validation, we applied the LORI method to a small-animal PET scanner, A-PET, with a specially designed collimator. We demonstrate through simulated reconstructions with a hot-rod phantom and MOBY phantom that the LORI reconstructions can substantially improve spatial resolution and quantification compared to the uncollimated reconstructions. The LORI algorithm is crucial to improve overall image quality of collimated PET, which

Os Simpsons em Hamlet: um petisco de Shakespeare

Directory of Open Access Journals (Sweden)

Robert Salem

2014-07-01

Full Text Available http://dx.doi.org/10.5007/2175-7968.2014v1n33p261 Este artigo se propõe a refletir sobre a adaptação de Hamlet em Os Simpsons no episódio Do the bard, man, a fim de observar aspectos importantes dessa recriação contemporânea. A releitura de Hamlet apresentada em Os Simpsons é uma peça dentro de outra, em que os personagens do seriado assumem os papéis dos personagens de Shakespeare.  O artigo enfatiza a inclusão de tantos elementos da peça de Shakespeare em uma adaptação de apenas cinco minutos e sugere uma solução de storyboard para incluir aspectos dos famosos solilóquios

Region of interest evaluation of SPECT image reconstruction methods using a realistic brain phantom

International Nuclear Information System (INIS)

Xia, Weishi; Glick, S.J.; Soares, E.J.

1996-01-01

A realistic numerical brain phantom, developed by Zubal et al, was used for a region-of-interest evaluation of the accuracy and noise variance of the following SPECT reconstruction methods: (1) Maximum-Likelihood reconstruction using the Expectation-Maximization (ML-EM) algorithm; (2) an EM algorithm using ordered-subsets (OS-EM); (3) a re-scaled block iterative EM algorithm (RBI-EM); and (4) a filtered backprojection algorithm that uses a combination of the Bellini method for attenuation compensation and an iterative spatial blurring correction method using the frequency-distance principle (FDP). The Zubal phantom was made from segmented MRI slices of the brain, so that neuro-anatomical structures are well defined and indexed. Small regions-of-interest (ROIs) from the white matter, grey matter in the center of the brain and grey matter from the peripheral area of the brain were selected for the evaluation. Photon attenuation and distance-dependent collimator blurring were modeled. Multiple independent noise realizations were generated for two different count levels. The simulation study showed that the ROI bias measured for the EM-based algorithms decreased as the iteration number increased, and that the OS-EM and RBI-EM algorithms (16 and 64 subsets were used) achieved the equivalent accuracy of the ML-EM algorithm at about the same noise variance, with much fewer number of iterations. The Bellini-FDP restoration algorithm converged fast and required less computation per iteration. The ML-EM algorithm had a slightly better ROI bias vs. variance trade-off than the other algorithms

An ART iterative reconstruction algorithm for computed tomography of diffraction enhanced imaging

International Nuclear Information System (INIS)

Wang Zhentian; Zhang Li; Huang Zhifeng; Kang Kejun; Chen Zhiqiang; Fang Qiaoguang; Zhu Peiping

2009-01-01

X-ray diffraction enhanced imaging (DEI) has extremely high sensitivity for weakly absorbing low-Z samples in medical and biological fields. In this paper, we propose an Algebra Reconstruction Technique (ART) iterative reconstruction algorithm for computed tomography of diffraction enhanced imaging (DEI-CT). An Ordered Subsets (OS) technique is used to accelerate the ART reconstruction. Few-view reconstruction is also studied, and a partial differential equation (PDE) type filter which has the ability of edge-preserving and denoising is used to improve the image quality and eliminate the artifacts. The proposed algorithm is validated with both the numerical simulations and the experiment at the Beijing synchrotron radiation facility (BSRF). (authors)

Statistical list-mode image reconstruction for the high resolution research tomograph

International Nuclear Information System (INIS)

Rahmim, A; Lenox, M; Reader, A J; Michel, C; Burbar, Z; Ruth, T J; Sossi, V

2004-01-01

We have investigated statistical list-mode reconstruction applicable to a depth-encoding high resolution research tomograph. An image non-negativity constraint has been employed in the reconstructions and is shown to effectively remove the overestimation bias introduced by the sinogram non-negativity constraint. We have furthermore implemented a convergent subsetized (CS) list-mode reconstruction algorithm, based on previous work (Hsiao et al 2002 Conf. Rec. SPIE Med. Imaging 4684 10-19; Hsiao et al 2002 Conf. Rec. IEEE Int. Symp. Biomed. Imaging 409-12) on convergent histogram OSEM reconstruction. We have demonstrated that the first step of the convergent algorithm is exactly equivalent (unlike the histogram-mode case) to the regular subsetized list-mode EM algorithm, while the second and final step takes the form of additive updates in image space. We have shown that in terms of contrast, noise as well as FWHM width behaviour, the CS algorithm is robust and does not result in limit cycles. A hybrid algorithm based on the ordinary and the convergent algorithms is also proposed, and is shown to combine the advantages of the two algorithms (i.e. it is able to reach a higher image quality in fewer iterations while maintaining the convergent behaviour), making the hybrid approach a good alternative to the ordinary subsetized list-mode EM algorithm

A Study on GPU-based Iterative ML-EM Reconstruction Algorithm for Emission Computed Tomographic Imaging Systems

Energy Technology Data Exchange (ETDEWEB)

Ha, Woo Seok; Kim, Soo Mee; Park, Min Jae; Lee, Dong Soo; Lee, Jae Sung [Seoul National University, Seoul (Korea, Republic of)

2009-10-15

The maximum likelihood-expectation maximization (ML-EM) is the statistical reconstruction algorithm derived from probabilistic model of the emission and detection processes. Although the ML-EM has many advantages in accuracy and utility, the use of the ML-EM is limited due to the computational burden of iterating processing on a CPU (central processing unit). In this study, we developed a parallel computing technique on GPU (graphic processing unit) for ML-EM algorithm. Using Geforce 9800 GTX+ graphic card and CUDA (compute unified device architecture) the projection and backprojection in ML-EM algorithm were parallelized by NVIDIA's technology. The time delay on computations for projection, errors between measured and estimated data and backprojection in an iteration were measured. Total time included the latency in data transmission between RAM and GPU memory. The total computation time of the CPU- and GPU-based ML-EM with 32 iterations were 3.83 and 0.26 sec, respectively. In this case, the computing speed was improved about 15 times on GPU. When the number of iterations increased into 1024, the CPU- and GPU-based computing took totally 18 min and 8 sec, respectively. The improvement was about 135 times and was caused by delay on CPU-based computing after certain iterations. On the other hand, the GPU-based computation provided very small variation on time delay per iteration due to use of shared memory. The GPU-based parallel computation for ML-EM improved significantly the computing speed and stability. The developed GPU-based ML-EM algorithm could be easily modified for some other imaging geometries

A Study on GPU-based Iterative ML-EM Reconstruction Algorithm for Emission Computed Tomographic Imaging Systems

International Nuclear Information System (INIS)

Ha, Woo Seok; Kim, Soo Mee; Park, Min Jae; Lee, Dong Soo; Lee, Jae Sung

2009-01-01

The maximum likelihood-expectation maximization (ML-EM) is the statistical reconstruction algorithm derived from probabilistic model of the emission and detection processes. Although the ML-EM has many advantages in accuracy and utility, the use of the ML-EM is limited due to the computational burden of iterating processing on a CPU (central processing unit). In this study, we developed a parallel computing technique on GPU (graphic processing unit) for ML-EM algorithm. Using Geforce 9800 GTX+ graphic card and CUDA (compute unified device architecture) the projection and backprojection in ML-EM algorithm were parallelized by NVIDIA's technology. The time delay on computations for projection, errors between measured and estimated data and backprojection in an iteration were measured. Total time included the latency in data transmission between RAM and GPU memory. The total computation time of the CPU- and GPU-based ML-EM with 32 iterations were 3.83 and 0.26 sec, respectively. In this case, the computing speed was improved about 15 times on GPU. When the number of iterations increased into 1024, the CPU- and GPU-based computing took totally 18 min and 8 sec, respectively. The improvement was about 135 times and was caused by delay on CPU-based computing after certain iterations. On the other hand, the GPU-based computation provided very small variation on time delay per iteration due to use of shared memory. The GPU-based parallel computation for ML-EM improved significantly the computing speed and stability. The developed GPU-based ML-EM algorithm could be easily modified for some other imaging geometries

Restoration of the analytically reconstructed OpenPET images by the method of convex projections

Energy Technology Data Exchange (ETDEWEB)

Tashima, Hideaki; Murayama, Hideo; Yamaya, Taiga [National Institute of Radiological Sciences, Chiba (Japan); Katsunuma, Takayuki; Suga, Mikio [Chiba Univ. (Japan). Graduate School of Engineering; Kinouchi, Shoko [National Institute of Radiological Sciences, Chiba (Japan); Chiba Univ. (Japan). Graduate School of Engineering; Obi, Takashi [Tokyo Institute of Technology (Japan). Interdisciplinary Graduate School of Science and Engineering; Kudo, Hiroyuki [Tsukuba Univ. (Japan). Graduate School of Systems and Information Engineering

2011-07-01

We have proposed the OpenPET geometry which has gaps between detector rings and physically opened field-of-view. The image reconstruction of the OpenPET is classified into an incomplete problem because it does not satisfy the Orlov's condition. Even so, the simulation and experimental studies have shown that applying iterative methods such as the maximum likelihood expectation maximization (ML-EM) algorithm successfully reconstruct images in the gap area. However, the imaging process of the iterative methods in the OpenPET imaging is not clear. Therefore, the aim of this study is to analytically analyze the OpenPET imaging and estimate implicit constraints involved in the iterative methods. To apply explicit constraints in the OpenPET imaging, we used the method of convex projections for restoration of the images reconstructed by the analytical way in which low-frequency components are lost. Numerical simulations showed that the similar restoration effects are involved both in the ML-EM and the method of convex projections. Therefore, the iterative methods have advantageous effect of restoring lost frequency components of the OpenPET imaging. (orig.)

Acceleration of the direct reconstruction of linear parametric images using nested algorithms

International Nuclear Information System (INIS)

Wang Guobao; Qi Jinyi

2010-01-01

Parametric imaging using dynamic positron emission tomography (PET) provides important information for biological research and clinical diagnosis. Indirect and direct methods have been developed for reconstructing linear parametric images from dynamic PET data. Indirect methods are relatively simple and easy to implement because the image reconstruction and kinetic modeling are performed in two separate steps. Direct methods estimate parametric images directly from raw PET data and are statistically more efficient. However, the convergence rate of direct algorithms can be slow due to the coupling between the reconstruction and kinetic modeling. Here we present two fast gradient-type algorithms for direct reconstruction of linear parametric images. The new algorithms decouple the reconstruction and linear parametric modeling at each iteration by employing the principle of optimization transfer. Convergence speed is accelerated by running more sub-iterations of linear parametric estimation because the computation cost of the linear parametric modeling is much less than that of the image reconstruction. Computer simulation studies demonstrated that the new algorithms converge much faster than the traditional expectation maximization (EM) and the preconditioned conjugate gradient algorithms for dynamic PET.

Os significados e sentidos de ser Bacharel em Turismo

OpenAIRE

Oliveira, Sandra Mara Tabosa de

2016-01-01

A escolha do tema surgiu do interesse em compreender os significados e os sentidos da profissão turismólogo (a) para os (as) egressos (as) dos cursos de graduação em turismo no Brasil. Tem como objetivos apontar, junto a esses profissionais, as contribuições da formação superior em turismo no trabalho desempenhado; identificar as resistências e desistências na profissão; e as contribuições do trabalho do turismólogo (a) para a sociedade brasileira. A pesquisa é do tipo qualitativa. A metodolo...

Direct imaging electron microscopy (EM) methods in modern structural biology: overview and comparison with X-ray crystallography and single-particle cryo-EM reconstruction in the studies of large macromolecules.

Science.gov (United States)

Miyaguchi, Katsuyuki

2014-10-01

Determining the structure of macromolecules is important for understanding their function. The fine structure of large macromolecules is currently studied primarily by X-ray crystallography and single-particle cryo-electron microscopy (EM) reconstruction. Before the development of these techniques, macromolecular structure was often examined by negative-staining, rotary-shadowing and freeze-etching EM, which are categorised here as 'direct imaging EM methods'. In this review, the results are summarised by each of the above techniques and compared with respect to four macromolecules: the ryanodine receptor, cadherin, rhodopsin and the ribosome-translocon complex (RTC). The results of structural analysis of the ryanodine receptor and cadherin are consistent between each technique. The results obtained for rhodopsin vary to some extent within each technique and between the different techniques. Finally, the results for RTC are inconsistent between direct imaging EM and other analytical techniques, especially with respect to the space within RTC, the reasons for which are discussed. Then, the role of direct imaging EM methods in modern structural biology is discussed. Direct imaging methods should support and verify the results obtained by other analytical methods capable of solving three-dimensional molecular architecture, and they should still be used as a primary tool for studying macromolecule structure in vivo. © 2014 Société Française des Microscopies and Société de Biologie Cellulaire de France. Published by John Wiley & Sons Ltd.

Os grandes eventos e a cultura em Portugal: sobre os Impactos culturais da Expo’98 e os Públicos do Porto 2001

Directory of Open Access Journals (Sweden)

Claudino Ferreira

2012-10-01

Full Text Available Os livros em discussão sintetizam os resultados de duas investigações conduzidas pelo Observatório das Actividades Culturais, instituição que tem vindo a desempenhar um papel decisivo na produção de informação e no desenvolvimento da pesquisa sociológica sobre a cultura em Portugal. Os dois trabalhos representam um importante contributo para a compreensão do significado e das implicações culturais dos dois grandes eventos recentemente realizados no nosso país: a Expo’98 e a Porto 2001. Em amb...

Intensity-based bayesian framework for image reconstruction from sparse projection data

International Nuclear Information System (INIS)

Rashed, E.A.; Kudo, Hiroyuki

2009-01-01

This paper presents a Bayesian framework for iterative image reconstruction from projection data measured over a limited number of views. The classical Nyquist sampling rule yields the minimum number of projection views required for accurate reconstruction. However, challenges exist in many medical and industrial imaging applications in which the projection data is undersampled. Classical analytical reconstruction methods such as filtered backprojection (FBP) are not a good choice for use in such cases because the data undersampling in the angular range introduces aliasing and streak artifacts that degrade lesion detectability. In this paper, we propose a Bayesian framework for maximum likelihood-expectation maximization (ML-EM)-based iterative reconstruction methods that incorporates a priori knowledge obtained from expected intensity information. The proposed framework is based on the fact that, in tomographic imaging, it is often possible to expect a set of intensity values of the reconstructed object with relatively high accuracy. The image reconstruction cost function is modified to include the l 1 norm distance to the a priori known information. The proposed method has the potential to regularize the solution to reduce artifacts without missing lesions that cannot be expected from the a priori information. Numerical studies showed a significant improvement in image quality and lesion detectability under the condition of highly undersampled projection data. (author)

Os princípios do cooperativismo e o trabalho em equipe em cooperativas de Garibaldi-RS

Directory of Open Access Journals (Sweden)

Dalvana Piletti

2015-10-01

Full Text Available O objetivo deste artigo é verificar se as cooperativas de Garibaldi seguem os princípios do cooperativismo. Para atingir esse objetivo, buscou-se conhecer o histórico de desenvolvimento das cooperativas do Estado do Rio Grande do Sul, dimensionar os benefícios e as dificuldades relacionados ao trabalho em equipe em cooperativas e conhecer os aspectos relacionados ao trabalho dos líderes nas organizações cooperativadas. A pesquisa de campo ocorreu em cooperativas de Garibaldi, e para tanto, foi realizado um estudo de natureza qualitativa, onde as informações foram obtidas com os líderes das cooperativas analisadas. A técnica de pesquisa utilizada foi a entrevista semiestruturada, por meio de um roteiro prévio de entrevista, e análise bibliográfica sobre o tema. Após interpretação e análise das informações coletadas, pôde-se verificar que as cooperativas em estudo seguem os princípios do cooperativismo e que o trabalho em equipe é de grande importância para elas, pois melhora o desempenho dos integrantes da equipe, beneficia cooperados e clientes, e ainda aprimora os resultados da organização.  

Optimization of Rb-82 PET acquisition and reconstruction protocols for myocardial perfusion defect detection

Science.gov (United States)

Tang, Jing; Rahmim, Arman; Lautamäki, Riikka; Lodge, Martin A.; Bengel, Frank M.; Tsui, Benjamin M. W.

2009-05-01

The purpose of this study is to optimize the dynamic Rb-82 cardiac PET acquisition and reconstruction protocols for maximum myocardial perfusion defect detection using realistic simulation data and task-based evaluation. Time activity curves (TACs) of different organs under both rest and stress conditions were extracted from dynamic Rb-82 PET images of five normal patients. Combined SimSET-GATE Monte Carlo simulation was used to generate nearly noise-free cardiac PET data from a time series of 3D NCAT phantoms with organ activities modeling different pre-scan delay times (PDTs) and total acquisition times (TATs). Poisson noise was added to the nearly noise-free projections and the OS-EM algorithm was applied to generate noisy reconstructed images. The channelized Hotelling observer (CHO) with 32× 32 spatial templates corresponding to four octave-wide frequency channels was used to evaluate the images. The area under the ROC curve (AUC) was calculated from the CHO rating data as an index for image quality in terms of myocardial perfusion defect detection. The 0.5 cycle cm-1 Butterworth post-filtering on OS-EM (with 21 subsets) reconstructed images generates the highest AUC values while those from iteration numbers 1 to 4 do not show different AUC values. The optimized PDTs for both rest and stress conditions are found to be close to the cross points of the left ventricular chamber and myocardium TACs, which may promote an individualized PDT for patient data processing and image reconstruction. Shortening the TATs for <~3 min from the clinically employed acquisition time does not affect the myocardial perfusion defect detection significantly for both rest and stress studies.

SPECT data acquisition and image reconstruction in a stationary small animal SPECT/MRI system

Science.gov (United States)

Xu, Jingyan; Chen, Si; Yu, Jianhua; Meier, Dirk; Wagenaar, Douglas J.; Patt, Bradley E.; Tsui, Benjamin M. W.

2010-04-01

The goal of the study was to investigate data acquisition strategies and image reconstruction methods for a stationary SPECT insert that can operate inside an MRI scanner with a 12 cm bore diameter for simultaneous SPECT/MRI imaging of small animals. The SPECT insert consists of 3 octagonal rings of 8 MR-compatible CZT detectors per ring surrounding a multi-pinhole (MPH) collimator sleeve. Each pinhole is constructed to project the field-of-view (FOV) to one CZT detector. All 24 pinholes are focused to a cylindrical FOV of 25 mm in diameter and 34 mm in length. The data acquisition strategies we evaluated were optional collimator rotations to improve tomographic sampling; and the image reconstruction methods were iterative ML-EM with and without compensation for the geometric response function (GRF) of the MPH collimator. For this purpose, we developed an analytic simulator that calculates the system matrix with the GRF models of the MPH collimator. The simulator was used to generate projection data of a digital rod phantom with pinhole aperture sizes of 1 mm and 2 mm and with different collimator rotation patterns. Iterative ML-EM reconstruction with and without GRF compensation were used to reconstruct the projection data from the central ring of 8 detectors only, and from all 24 detectors. Our results indicated that without GRF compensation and at the default design of 24 projection views, the reconstructed images had significant artifacts. Accurate GRF compensation substantially improved the reconstructed image resolution and reduced image artifacts. With accurate GRF compensation, useful reconstructed images can be obtained using 24 projection views only. This last finding potentially enables dynamic SPECT (and/or MRI) studies in small animals, one of many possible application areas of the SPECT/MRI system. Further research efforts are warranted including experimentally measuring the system matrix for improved geometrical accuracy, incorporating the co

Use of regularized algebraic methods in tomographic reconstruction

International Nuclear Information System (INIS)

Koulibaly, P.M.; Darcourt, J.; Blanc-Ferraud, L.; Migneco, O.; Barlaud, M.

1997-01-01

The algebraic methods are used in emission tomography to facilitate the compensation of attenuation and of Compton scattering. We have tested on a phantom the use of a regularization (a priori introduction of information), as well as the taking into account of spatial resolution variation with the depth (SRVD). Hence, we have compared the performances of the two methods by back-projection filtering (BPF) and of the two algebraic methods (AM) in terms of FWHM (by means of a point source), of the reduction of background noise (σ/m) on the homogeneous part of Jaszczak's phantom and of reconstruction speed (time unit = BPF). The BPF methods make use of a grade filter (maximal resolution, no noise treatment), single or associated with a Hann's low-pass (f c = 0.4), as well as of an attenuation correction. The AM which embody attenuation and scattering corrections are, on one side, the OS EM (Ordered Subsets, partitioning and rearranging of the projection matrix; Expectation Maximization) without regularization or SRVD correction, and, on the other side, the OS MAP EM (Maximum a posteriori), regularized and embodying the SRVD correction. A table is given containing for each used method (grade, Hann, OS EM and OS MAP EM) the values of FWHM, σ/m and time, respectively. One can observe that the OS MAP EM algebraic method allows ameliorating both the resolution, by taking into account the SRVD in the reconstruction process and noise treatment by regularization. In addition, due to the OS technique the reconstruction times are acceptable

Desempenho de cordeiros terminados em confinamento, consumindo silagens de milho de grãos com alta umidade ou grãos de milho hidratados em substituição aos grãos de milho seco da dieta

Directory of Open Access Journals (Sweden)

Reis Wagner dos

2001-01-01

Full Text Available O experimento foi conduzido para avaliar o uso dos grãos de milho em diferentes formas (grãos de milho secos, silagem de grãos de milho hidratado e silagem de grãos de milho úmido sobre o desempenho de cordeiros terminados em confinamento. Foram usados 60 cordeiros (machos e fêmeas, distribuídos aleatoriamente em cinco tratamentos com doze repetições e alimentados com dietas isoprotéicas e isoenergéticas, em diferentes tratamentos: T1 (silagem de grãos de milho hidratados - SMGH, T2 (Grãos de milho seco - GMS, T3 (50% SGMH + 50% GMS, T4 (silagem de grãos de milho úmidos - SGMU e T5 (50% SGMU + 50% GMS. O volumoso utilizado foi feno de aveia. Foram avaliados ganho de peso diário e conversão alimentar aos 28, 56 e 73 dias de confinamento. A dieta com substituição total dos grãos de milho seco por silagem de grãos de milho úmidos apresentou maior ganho de peso aos 73 dias em relação àqueles obtidos aos 56 e 28 dias de confinamento. Este fato pode ser explicado pela melhor digestibilidade apresentada pelas silagens, atribuída à gelatinização que o amido sofre durante o processo. Assim, a silagem de grãos úmidos pode ser usada com eficácia em dietas para cordeiros.

Os antigos germanos em Os Sertões: Canudos e Teutoburgo

Directory of Open Access Journals (Sweden)

Rafael Vicente Kunst

2016-06-01

Full Text Available Para explicar a aparente contradição entre barbárie e civilização que envolvia a descrição do sertanejo ao longo de Os Sertões, Euclides da Cunha recorre a diversos elementos da Antiguidade clássica como, por exemplo, a narrativa da batalha de Teutoburgo. Minha pesquisa consiste em analisar como e com quais motivações a escrita euclidiana utiliza as descrições clássicas dos antigos povos germânicos e seus conflitos contra os romanos.

Monitores de diagnóstico em Mamografia : (Os 5MP em Portugal)

OpenAIRE

Timóteo, Maria Teresa

2012-01-01

O carcinoma da mama é o mais comum nas mulheres, em Portugal morrem cerca de 1500 mulheres por ano devido a esta patologia. Serviu o presente estudo para investigar se os Hospitais da Região de Lisboa e Vale do Tejo estão equipados, com monitores de diagnóstico em mamografia, que correspondam com as guidelines europeias. O serviço de Mamografia, em Portugal rege-se por estas guidelines, em que é referenciado que para um correcto diagnóstico, com toda a sensibilidade e especific...

Image Reconstruction. Chapter 13

Energy Technology Data Exchange (ETDEWEB)

Nuyts, J. [Department of Nuclear Medicine and Medical Imaging Research Center, Katholieke Universiteit Leuven, Leuven (Belgium); Matej, S. [Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, PA (United States)

2014-12-15

This chapter discusses how 2‑D or 3‑D images of tracer distribution can be reconstructed from a series of so-called projection images acquired with a gamma camera or a positron emission tomography (PET) system [13.1]. This is often called an ‘inverse problem’. The reconstruction is the inverse of the acquisition. The reconstruction is called an inverse problem because making software to compute the true tracer distribution from the acquired data turns out to be more difficult than the ‘forward’ direction, i.e. making software to simulate the acquisition. There are basically two approaches to image reconstruction: analytical reconstruction and iterative reconstruction. The analytical approach is based on mathematical inversion, yielding efficient, non-iterative reconstruction algorithms. In the iterative approach, the reconstruction problem is reduced to computing a finite number of image values from a finite number of measurements. That simplification enables the use of iterative instead of mathematical inversion. Iterative inversion tends to require more computer power, but it can cope with more complex (and hopefully more accurate) models of the acquisition process.

A system for the 3D reconstruction of retracted-septa PET data using the EM algorithm

International Nuclear Information System (INIS)

Johnson, C.A.; Yan, Y.; Carson, R.E.; Martino, R.L.; Daube-Witherspoon, M.E.

1995-01-01

The authors have implemented the EM reconstruction algorithm for volume acquisition from current generation retracted-septa PET scanners. Although the software was designed for a GE Advance scanner, it is easily adaptable to other 3D scanners. The reconstruction software was written for an Intel iPSC/860 parallel computer with 128 compute nodes. Running on 32 processors, the algorithm requires approximately 55 minutes per iteration to reconstruct a 128 x 128 x 35 image. No projection data compression schemes or other approximations were used in the implementation. Extensive use of EM system matrix (C ij ) symmetries (including the 8-fold in-plane symmetries, 2-fold axial symmetries, and axial parallel line redundancies) reduces the storage cost by a factor of 188. The parallel algorithm operates on distributed projection data which are decomposed by base-symmetry angles. Symmetry operators copy and index the C ij chord to the form required for the particular symmetry. The use of asynchronous reads, lookup tables, and optimized image indexing improves computational performance

Image-derived and arterial blood sampled input functions for quantitative PET imaging of the angiotensin II subtype 1 receptor in the kidney

Energy Technology Data Exchange (ETDEWEB)

Feng, Tao; Tsui, Benjamin M. W.; Li, Xin; Vranesic, Melin; Lodge, Martin A.; Gulaldi, Nedim C. M.; Szabo, Zsolt, E-mail: zszabo@jhmi.edu [Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins School of Medicine, Baltimore, Maryland 21287 (United States)

2015-11-15

Purpose: The radioligand {sup 11}C-KR31173 has been introduced for positron emission tomography (PET) imaging of the angiotensin II subtype 1 receptor in the kidney in vivo. To study the biokinetics of {sup 11}C-KR31173 with a compartmental model, the input function is needed. Collection and analysis of arterial blood samples are the established approach to obtain the input function but they are not feasible in patients with renal diseases. The goal of this study was to develop a quantitative technique that can provide an accurate image-derived input function (ID-IF) to replace the conventional invasive arterial sampling and test the method in pigs with the goal of translation into human studies. Methods: The experimental animals were injected with [{sup 11}C]KR31173 and scanned up to 90 min with dynamic PET. Arterial blood samples were collected for the artery derived input function (AD-IF) and used as a gold standard for ID-IF. Before PET, magnetic resonance angiography of the kidneys was obtained to provide the anatomical information required for derivation of the recovery coefficients in the abdominal aorta, a requirement for partial volume correction of the ID-IF. Different image reconstruction methods, filtered back projection (FBP) and ordered subset expectation maximization (OS-EM), were investigated for the best trade-off between bias and variance of the ID-IF. The effects of kidney uptakes on the quantitative accuracy of ID-IF were also studied. Biological variables such as red blood cell binding and radioligand metabolism were also taken into consideration. A single blood sample was used for calibration in the later phase of the input function. Results: In the first 2 min after injection, the OS-EM based ID-IF was found to be biased, and the bias was found to be induced by the kidney uptake. No such bias was found with the FBP based image reconstruction method. However, the OS-EM based image reconstruction was found to reduce variance in the subsequent

Bayesian image reconstruction in SPECT using higher order mechanical models as priors

International Nuclear Information System (INIS)

Lee, S.J.; Gindi, G.; Rangarajan, A.

1995-01-01

While the ML-EM (maximum-likelihood-expectation maximization) algorithm for reconstruction for emission tomography is unstable due to the ill-posed nature of the problem, Bayesian reconstruction methods overcome this instability by introducing prior information, often in the form of a spatial smoothness regularizer. More elaborate forms of smoothness constraints may be used to extend the role of the prior beyond that of a stabilizer in order to capture actual spatial information about the object. Previously proposed forms of such prior distributions were based on the assumption of a piecewise constant source distribution. Here, the authors propose an extension to a piecewise linear model--the weak plate--which is more expressive than the piecewise constant model. The weak plate prior not only preserves edges but also allows for piecewise ramplike regions in the reconstruction. Indeed, for the application in SPECT, such ramplike regions are observed in ground-truth source distributions in the form of primate autoradiographs of rCBF radionuclides. To incorporate the weak plate prior in a MAP approach, the authors model the prior as a Gibbs distribution and use a GEM formulation for the optimization. They compare quantitative performance of the ML-EM algorithm, a GEM algorithm with a prior favoring piecewise constant regions, and a GEM algorithm with the weak plate prior. Pointwise and regional bias and variance of ensemble image reconstructions are used as indications of image quality. The results show that the weak plate and membrane priors exhibit improved bias and variance relative to ML-EM techniques

Accelerated fast iterative shrinkage thresholding algorithms for sparsity-regularized cone-beam CT image reconstruction

International Nuclear Information System (INIS)

Xu, Qiaofeng; Sawatzky, Alex; Anastasio, Mark A.; Yang, Deshan; Tan, Jun

2016-01-01

Purpose: The development of iterative image reconstruction algorithms for cone-beam computed tomography (CBCT) remains an active and important research area. Even with hardware acceleration, the overwhelming majority of the available 3D iterative algorithms that implement nonsmooth regularizers remain computationally burdensome and have not been translated for routine use in time-sensitive applications such as image-guided radiation therapy (IGRT). In this work, two variants of the fast iterative shrinkage thresholding algorithm (FISTA) are proposed and investigated for accelerated iterative image reconstruction in CBCT. Methods: Algorithm acceleration was achieved by replacing the original gradient-descent step in the FISTAs by a subproblem that is solved by use of the ordered subset simultaneous algebraic reconstruction technique (OS-SART). Due to the preconditioning matrix adopted in the OS-SART method, two new weighted proximal problems were introduced and corresponding fast gradient projection-type algorithms were developed for solving them. We also provided efficient numerical implementations of the proposed algorithms that exploit the massive data parallelism of multiple graphics processing units. Results: The improved rates of convergence of the proposed algorithms were quantified in computer-simulation studies and by use of clinical projection data corresponding to an IGRT study. The accelerated FISTAs were shown to possess dramatically improved convergence properties as compared to the standard FISTAs. For example, the number of iterations to achieve a specified reconstruction error could be reduced by an order of magnitude. Volumetric images reconstructed from clinical data were produced in under 4 min. Conclusions: The FISTA achieves a quadratic convergence rate and can therefore potentially reduce the number of iterations required to produce an image of a specified image quality as compared to first-order methods. We have proposed and investigated

Accelerated fast iterative shrinkage thresholding algorithms for sparsity-regularized cone-beam CT image reconstruction

Science.gov (United States)

Xu, Qiaofeng; Yang, Deshan; Tan, Jun; Sawatzky, Alex; Anastasio, Mark A.

2016-01-01

Purpose: The development of iterative image reconstruction algorithms for cone-beam computed tomography (CBCT) remains an active and important research area. Even with hardware acceleration, the overwhelming majority of the available 3D iterative algorithms that implement nonsmooth regularizers remain computationally burdensome and have not been translated for routine use in time-sensitive applications such as image-guided radiation therapy (IGRT). In this work, two variants of the fast iterative shrinkage thresholding algorithm (FISTA) are proposed and investigated for accelerated iterative image reconstruction in CBCT. Methods: Algorithm acceleration was achieved by replacing the original gradient-descent step in the FISTAs by a subproblem that is solved by use of the ordered subset simultaneous algebraic reconstruction technique (OS-SART). Due to the preconditioning matrix adopted in the OS-SART method, two new weighted proximal problems were introduced and corresponding fast gradient projection-type algorithms were developed for solving them. We also provided efficient numerical implementations of the proposed algorithms that exploit the massive data parallelism of multiple graphics processing units. Results: The improved rates of convergence of the proposed algorithms were quantified in computer-simulation studies and by use of clinical projection data corresponding to an IGRT study. The accelerated FISTAs were shown to possess dramatically improved convergence properties as compared to the standard FISTAs. For example, the number of iterations to achieve a specified reconstruction error could be reduced by an order of magnitude. Volumetric images reconstructed from clinical data were produced in under 4 min. Conclusions: The FISTA achieves a quadratic convergence rate and can therefore potentially reduce the number of iterations required to produce an image of a specified image quality as compared to first-order methods. We have proposed and investigated

A implantação de uma inovação em serviços e sua experiência associada com a qualidade: um estudo experimental em serviços de educação continuada

OpenAIRE

Barossi, Roberta dos Santos

2015-01-01

Como a inovação em serviços é uma área que vem sendo amplamente pesquisada fora do Brasil, identificou-se a necessidade de aprofundar esta pesquisa na área de serviços educacionais, analisando como a implantação de uma inovação de serviços na área educacional pode impactar na percepção da qualidade de serviços percebida. Para esta pesquisa foram estudados os conceitos de inovação em serviços, inovação em serviços educacionais, coaching, desenvolvimento de carreira e qualidade em serviços. A p...

Quickly Updatable Hologram Images Using Poly(<em>N>-vinyl Carbazole (PVCz Photorefractive Polymer Composite

Directory of Open Access Journals (Sweden)

Wataru Sakai

2012-08-01

Full Text Available Quickly updatable hologram images using photorefractive (PR polymer composite based on poly(<em>N>-vinyl carbazole (PVCz is presented. PVCz is one of the pioneer materials of photoconductive polymers. PR polymer composite consists of 44 wt % of PVCz, 35 wt % of 4-azacycloheptylbenzylidene-malonitrile (7-DCST as a nonlinear optical dye, 20 wt % of carbazolylethylpropionate (CzEPA as a photoconductive plasticizer and 1 wt % of 2,4,7-trinitro-9-fluorenone (TNF as a sensitizer. PR composite gives high diffraction efficiency of 68% at E = 45 V μm⁻¹. Response speed of optical diffraction is the key parameter for real-time 3D holographic display. The key parameter for obtaining quickly updatable holographic images is to control the glass transition temperature lower enough to enhance chromophore orientation. Object image of the reflected coin surface recorded with reference beam at 532 nm (green beam in the PR polymer composite is simultaneously reconstructed using a red probe beam at 642 nm. Instead of using a coin object, an object image produced by a computer was displayed on a spatial light modulator (SLM and used for the hologram. The reflected object beam from an SLM was interfered with a reference beam on PR polymer composite to record a hologram and simultaneously reconstructed by a red probe beam.

Avaliação da qualidade percebida em serviços

OpenAIRE

Coelho, Cláudia Duarte dos Anjos

2004-01-01

Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia de Produção. Esta dissertação tem como objetivo estudar como os clientes avaliam a qualidade dos serviços e propor um modelo, baseado na escala SERVQUAL, para a avaliação da qualidade percebida de um serviço específico, que contemple a sua melhoria continua. Inicialmente realizou-se uma revisão bibliográfica sobre a gestão de serviços, a qualidade em serviços, a aval...

Model-based image reconstruction for four-dimensional PET

International Nuclear Information System (INIS)

Li Tianfang; Thorndyke, Brian; Schreibmann, Eduard; Yang Yong; Xing Lei

2006-01-01

Positron emission tonography (PET) is useful in diagnosis and radiation treatment planning for a variety of cancers. For patients with cancers in thoracic or upper abdominal region, the respiratory motion produces large distortions in the tumor shape and size, affecting the accuracy in both diagnosis and treatment. Four-dimensional (4D) (gated) PET aims to reduce the motion artifacts and to provide accurate measurement of the tumor volume and the tracer concentration. A major issue in 4D PET is the lack of statistics. Since the collected photons are divided into several frames in the 4D PET scan, the quality of each reconstructed frame degrades as the number of frames increases. The increased noise in each frame heavily degrades the quantitative accuracy of the PET imaging. In this work, we propose a method to enhance the performance of 4D PET by developing a new technique of 4D PET reconstruction with incorporation of an organ motion model derived from 4D-CT images. The method is based on the well-known maximum-likelihood expectation-maximization (ML-EM) algorithm. During the processes of forward- and backward-projection in the ML-EM iterations, all projection data acquired at different phases are combined together to update the emission map with the aid of deformable model, the statistics is therefore greatly improved. The proposed algorithm was first evaluated with computer simulations using a mathematical dynamic phantom. Experiment with a moving physical phantom was then carried out to demonstrate the accuracy of the proposed method and the increase of signal-to-noise ratio over three-dimensional PET. Finally, the 4D PET reconstruction was applied to a patient case

Image reconstruction using three-dimensional compound Gauss-Markov random field in emission computed tomography

International Nuclear Information System (INIS)

Watanabe, Shuichi; Kudo, Hiroyuki; Saito, Tsuneo

1993-01-01

In this paper, we propose a new reconstruction algorithm based on MAP (maximum a posteriori probability) estimation principle for emission tomography. To improve noise suppression properties of the conventional ML-EM (maximum likelihood expectation maximization) algorithm, direct three-dimensional reconstruction that utilizes intensity correlations between adjacent transaxial slices is introduced. Moreover, to avoid oversmoothing of edges, a priori knowledge of RI (radioisotope) distribution is represented by using a doubly-stochastic image model called the compound Gauss-Markov random field. The a posteriori probability is maximized by using the iterative GEM (generalized EM) algorithm. Computer simulation results are shown to demonstrate validity of the proposed algorithm. (author)

Fisher's method of scoring in statistical image reconstruction: comparison of Jacobi and Gauss-Seidel iterative schemes.

Science.gov (United States)

Hudson, H M; Ma, J; Green, P

1994-01-01

Many algorithms for medical image reconstruction adopt versions of the expectation-maximization (EM) algorithm. In this approach, parameter estimates are obtained which maximize a complete data likelihood or penalized likelihood, in each iteration. Implicitly (and sometimes explicitly) penalized algorithms require smoothing of the current reconstruction in the image domain as part of their iteration scheme. In this paper, we discuss alternatives to EM which adapt Fisher's method of scoring (FS) and other methods for direct maximization of the incomplete data likelihood. Jacobi and Gauss-Seidel methods for non-linear optimization provide efficient algorithms applying FS in tomography. One approach uses smoothed projection data in its iterations. We investigate the convergence of Jacobi and Gauss-Seidel algorithms with clinical tomographic projection data.

Overview of image reconstruction

International Nuclear Information System (INIS)

Marr, R.B.

1980-04-01

Image reconstruction (or computerized tomography, etc.) is any process whereby a function, f, on R/sup n/ is estimated from empirical data pertaining to its integrals, ∫f(x) dx, for some collection of hyperplanes of dimension k < n. The paper begins with background information on how image reconstruction problems have arisen in practice, and describes some of the application areas of past or current interest; these include radioastronomy, optics, radiology and nuclear medicine, electron microscopy, acoustical imaging, geophysical tomography, nondestructive testing, and NMR zeugmatography. Then the various reconstruction algorithms are discussed in five classes: summation, or simple back-projection; convolution, or filtered back-projection; Fourier and other functional transforms; orthogonal function series expansion; and iterative methods. Certain more technical mathematical aspects of image reconstruction are considered from the standpoint of uniqueness, consistency, and stability of solution. The paper concludes by presenting certain open problems. 73 references

EM reconstruction of dual isotope PET using staggered injections and prompt gamma positron emitters

International Nuclear Information System (INIS)

Andreyev, Andriy; Sitek, Arkadiusz; Celler, Anna

2014-01-01

Purpose: The aim of dual isotope positron emission tomography (DIPET) is to create two separate images of two coinjected PET radiotracers. DIPET shortens the duration of the study, reduces patient discomfort, and produces perfectly coregistered images compared to the case when two radiotracers would be imaged independently (sequential PET studies). Reconstruction of data from such simultaneous acquisition of two PET radiotracers is difficult because positron decay of any isotope creates only 511 keV photons; therefore, the isotopes cannot be differentiated based on the detected energy. Methods: Recently, the authors have proposed a DIPET technique that uses a combination of radiotracer A which is a pure positron emitter (such as 18 F or 11 C) and radiotracer B in which positron decay is accompanied by the emission of a high-energy (HE) prompt gamma (such as 38 K or 60 Cu). Events that are detected as triple coincidences of HE gammas with the corresponding two 511 keV photons allow the authors to identify the lines-of-response (LORs) of isotope B. These LORs are used to separate the two intertwined distributions, using a dedicated image reconstruction algorithm. In this work the authors propose a new version of the DIPET EM-based reconstruction algorithm that allows the authors to include an additional, independent estimate of radiotracer A distribution which may be obtained if radioisotopes are administered using a staggered injections method. In this work the method is tested on simple simulations of static PET acquisitions. Results: The authors’ experiments performed using Monte-Carlo simulations with static acquisitions demonstrate that the combined method provides better results (crosstalk errors decrease by up to 50%) than the positron-gamma DIPET method or staggered injections alone. Conclusions: The authors demonstrate that the authors’ new EM algorithm which combines information from triple coincidences with prompt gammas and staggered injections

EM reconstruction of dual isotope PET using staggered injections and prompt gamma positron emitters

Energy Technology Data Exchange (ETDEWEB)

Andreyev, Andriy, E-mail: andriy.andreyev-1@philips.com [Philips Healthcare, Highland Heights, Ohio 44143 (United States); Sitek, Arkadiusz [Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114 (United States); Celler, Anna [Department of Radiology, University of British Columbia, Vancouver V5Z 1M9 (Canada)

2014-02-15

Purpose: The aim of dual isotope positron emission tomography (DIPET) is to create two separate images of two coinjected PET radiotracers. DIPET shortens the duration of the study, reduces patient discomfort, and produces perfectly coregistered images compared to the case when two radiotracers would be imaged independently (sequential PET studies). Reconstruction of data from such simultaneous acquisition of two PET radiotracers is difficult because positron decay of any isotope creates only 511 keV photons; therefore, the isotopes cannot be differentiated based on the detected energy. Methods: Recently, the authors have proposed a DIPET technique that uses a combination of radiotracer A which is a pure positron emitter (such as{sup 18}F or {sup 11}C) and radiotracer B in which positron decay is accompanied by the emission of a high-energy (HE) prompt gamma (such as {sup 38}K or {sup 60}Cu). Events that are detected as triple coincidences of HE gammas with the corresponding two 511 keV photons allow the authors to identify the lines-of-response (LORs) of isotope B. These LORs are used to separate the two intertwined distributions, using a dedicated image reconstruction algorithm. In this work the authors propose a new version of the DIPET EM-based reconstruction algorithm that allows the authors to include an additional, independent estimate of radiotracer A distribution which may be obtained if radioisotopes are administered using a staggered injections method. In this work the method is tested on simple simulations of static PET acquisitions. Results: The authors’ experiments performed using Monte-Carlo simulations with static acquisitions demonstrate that the combined method provides better results (crosstalk errors decrease by up to 50%) than the positron-gamma DIPET method or staggered injections alone. Conclusions: The authors demonstrate that the authors’ new EM algorithm which combines information from triple coincidences with prompt gammas and

Incubator embedded cell culture imaging system (EmSight) based on Fourier ptychographic microscopy.

Science.gov (United States)

Kim, Jinho; Henley, Beverley M; Kim, Charlene H; Lester, Henry A; Yang, Changhuei

2016-08-01

Multi-day tracking of cells in culture systems can provide valuable information in bioscience experiments. We report the development of a cell culture imaging system, named EmSight, which incorporates multiple compact Fourier ptychographic microscopes with a standard multiwell imaging plate. The system is housed in an incubator and presently incorporates six microscopes. By using the same low magnification objective lenses as the objective and the tube lens, the EmSight is configured as a 1:1 imaging system that, providing large field-of-view (FOV) imaging onto a low-cost CMOS imaging sensor. The EmSight improves the image resolution by capturing a series of images of the sample at varying illumination angles; the instrument reconstructs a higher-resolution image by using the iterative Fourier ptychographic algorithm. In addition to providing high-resolution brightfield and phase imaging, the EmSight is also capable of fluorescence imaging at the native resolution of the objectives. We characterized the system using a phase Siemens star target, and show four-fold improved coherent resolution (synthetic NA of 0.42) and a depth of field of 0.2 mm. To conduct live, long-term dopaminergic neuron imaging, we cultured ventral midbrain from mice driving eGFP from the tyrosine hydroxylase promoter. The EmSight system tracks movements of dopaminergic neurons over a 21 day period.

Vivências em espaços educativos: constituição de identidades homossexuais em homens adultos

OpenAIRE

Cechin, Andréa Forgiarini

2006-01-01

Esta pesquisa problematiza a relação entre a constituição das identidades homossexuais de homens adultos e suas vivências em espaços educativos formais, não formais e informais. Como ponto de partida para desenvolver o estudo, foram formuladas questões que focalizam percepções e sentimentos desses homens adultos em relação a si próprios e aos outros, tendo em vista suas vivências nesses espaços educativos e, especialmente, suas experiências de discriminação e resistência. Apoia-se teoricament...

Simultaneous reconstruction and segmentation for dynamic SPECT imaging

International Nuclear Information System (INIS)

Burger, Martin; Rossmanith, Carolin; Zhang, Xiaoqun

2016-01-01

This work deals with the reconstruction of dynamic images that incorporate characteristic dynamics in certain subregions, as arising for the kinetics of many tracers in emission tomography (SPECT, PET). We make use of a basis function approach for the unknown tracer concentration by assuming that the region of interest can be divided into subregions with spatially constant concentration curves. Applying a regularised variational framework reminiscent of the Chan-Vese model for image segmentation we simultaneously reconstruct both the labelling functions of the subregions as well as the subconcentrations within each region. Our particular focus is on applications in SPECT with the Poisson noise model, resulting in a Kullback–Leibler data fidelity in the variational approach. We present a detailed analysis of the proposed variational model and prove existence of minimisers as well as error estimates. The latter apply to a more general class of problems and generalise existing results in literature since we deal with a nonlinear forward operator and a nonquadratic data fidelity. A computational algorithm based on alternating minimisation and splitting techniques is developed for the solution of the problem and tested on appropriately designed synthetic data sets. For those we compare the results to those of standard EM reconstructions and investigate the effects of Poisson noise in the data. (paper)

IDENTIFICAÇÃO PRESUNTIVA DE LEVEDURAS DE INTERESSE BIOTECNOLÓGICO EM GRÃOS DE KEFIR

Directory of Open Access Journals (Sweden)

Fernanda Mincev ANTONIASSI

2017-12-01

Full Text Available Os grãos de Kefir são constituídos por uma matriz de polissacarídeos, ricos em micro-organismos simbióticos, gerando após a fermentação de açúcares, uma bebida probiótica que recebe o mesmo nome. A vasta população microbiana presente nestes grãos, incluindo leveduras e bactérias, oferece diversas características únicas à bebida. Estudos apontam que esta possui efeitos antitumorais, anti-inflamatórios, antimicrobiano, modulatório do sistema imune, anticolesterolêmico, dentre outros, devido as moléculas secretadas pelas células microbianas presente no microambiente dos grãos de Kefir. Diante disso, o objetivo deste estudo foi isolar e identificar, presuntivamente, leveduras presentes nos grãos de Kefir, possíveis produtoras de produtos de interesse biotecnológico. Para tanto, foram utilizados grãos da região de Bauru/SP, mantidos em fermentação em água/açúcar mascavo e em leite. Em seguida, os grãos foram triturados e semeados em ágar Sabouraud com cloranfenicol. Os isolados com características macroscópicas leveduriformes foram analisados por exame direto, prova do tubo germinativo e prova da ureia. Os dados obtidos foram comparados com atlas micológicos e chaves de identificação. No total foram isoladas seis colônias diferentes com presença de leveduras como Candida sp. e Saccharomyces sp., que possuem grande relevância para os processos biotecnológicos.

Image reconstruction by domain-transform manifold learning

Science.gov (United States)

Zhu, Bo; Liu, Jeremiah Z.; Cauley, Stephen F.; Rosen, Bruce R.; Rosen, Matthew S.

2018-03-01

Image reconstruction is essential for imaging applications across the physical and life sciences, including optical and radar systems, magnetic resonance imaging, X-ray computed tomography, positron emission tomography, ultrasound imaging and radio astronomy. During image acquisition, the sensor encodes an intermediate representation of an object in the sensor domain, which is subsequently reconstructed into an image by an inversion of the encoding function. Image reconstruction is challenging because analytic knowledge of the exact inverse transform may not exist a priori, especially in the presence of sensor non-idealities and noise. Thus, the standard reconstruction approach involves approximating the inverse function with multiple ad hoc stages in a signal processing chain, the composition of which depends on the details of each acquisition strategy, and often requires expert parameter tuning to optimize reconstruction performance. Here we present a unified framework for image reconstruction—automated transform by manifold approximation (AUTOMAP)—which recasts image reconstruction as a data-driven supervised learning task that allows a mapping between the sensor and the image domain to emerge from an appropriate corpus of training data. We implement AUTOMAP with a deep neural network and exhibit its flexibility in learning reconstruction transforms for various magnetic resonance imaging acquisition strategies, using the same network architecture and hyperparameters. We further demonstrate that manifold learning during training results in sparse representations of domain transforms along low-dimensional data manifolds, and observe superior immunity to noise and a reduction in reconstruction artefacts compared with conventional handcrafted reconstruction methods. In addition to improving the reconstruction performance of existing acquisition methodologies, we anticipate that AUTOMAP and other learned reconstruction approaches will accelerate the development

MR image reconstruction via guided filter.

Science.gov (United States)

Huang, Heyan; Yang, Hang; Wang, Kang

2018-04-01

Magnetic resonance imaging (MRI) reconstruction from the smallest possible set of Fourier samples has been a difficult problem in medical imaging field. In our paper, we present a new approach based on a guided filter for efficient MRI recovery algorithm. The guided filter is an edge-preserving smoothing operator and has better behaviors near edges than the bilateral filter. Our reconstruction method is consist of two steps. First, we propose two cost functions which could be computed efficiently and thus obtain two different images. Second, the guided filter is used with these two obtained images for efficient edge-preserving filtering, and one image is used as the guidance image, the other one is used as a filtered image in the guided filter. In our reconstruction algorithm, we can obtain more details by introducing guided filter. We compare our reconstruction algorithm with some competitive MRI reconstruction techniques in terms of PSNR and visual quality. Simulation results are given to show the performance of our new method.

Applicability of 3D-CT facial reconstruction for forensic individual identification Aplicabilidade da reconstrução facial em 3D-TC para identificação individual forense

Directory of Open Access Journals (Sweden)

Sara dos Santos Rocha

2003-03-01

Full Text Available Computed tomography (CT is used in several clinical dentistry applications even by axial slices and two and three-dimensional reconstructed images (2D-CT and 3D-CT. The purpose of the current study is to assess the precision of linear measurements made in 3D-CT using craniometric patterns for individual identification in Forensic Dentistry. Five cadaver heads were submitted to a spiral computed tomography using axial slices, and 3D-CT reconstructions were obtained by volume rendering technique with computer graphics tools. Ten (10 craniometric measurements were determined in 3D-CT images by two examiners independently, twice each, and the standard error of intra- and inter-examiner measurements was assessed. The results demonstrated a low standard error of those measurements, from 0.85% to 3.09%. In conclusion, the linear measurements obtained in osseous and soft tissue structures were considered to be precise in 3D-CT with high imaging quality and resolution.A tomografia computadorizada (TC tem sido utilizada em diversas áreas clínicas da Odontologia; utilizam-se tanto seus cortes originais quanto as reconstruções em duas e três dimensões (2D-TC e 3D-TC. O presente estudo propõe avaliar a precisão das medidas lineares realizadas na 3D-TC, utilizando a craniometria, para fins de identificação individual na Odontologia Forense. Cinco cabeças de cadáveres foram submetidas a tomografia computadorizada em espiral por meio de cortes axiais e reconstruções em 3D-TC foram obtidas por meio da técnica de volume, utilizando recursos da computação gráfica. Medidas craniométricas (n = 10 foram determinadas nas imagens em 3D-TC por dois examinadores independentemente, duas vezes cada um, e uma análise de erro padrão percentual das medidas intra- e inter-examinadores foi realizada. Os resultados demonstraram um erro padrão percentual baixo apresentado por essas medidas, variando entre 0,85% e 3,09%. Em conclusão, as medidas lineares

Three-dimensional total variation norm for SPECT reconstruction

International Nuclear Information System (INIS)

Persson, Mikael; Bone, Dianna; Elmqvist, H.

2001-01-01

The total variation (TV) norm has been described in literature as a method for reducing noise in two-dimensional (2D) images. At the same time, the TV-norm is very good at recovering edges in images, without introducing ringing or edge artefacts. It has also been proposed as a 2D regularisation function in Bayesian reconstruction, implemented in an expectation maximisation (EM) algorithm, and called TV-EM. The TV-EM was developed for 2D SPECT imaging, and the algorithm is capable of smoothing noise while maintaining edges without introducing artefacts. We have extended the TV-norm to take into account the third spatial dimension, and developed an iterative EM algorithm based on the three-dimensional (3D) TV-norm, which we call TV3D-EM. This takes into account the correlation between transaxial sections in SPECT, due to system resolution. We have compared the 2D and 3D algorithms using reconstructed images from simulated projection data. Phantoms used were a homogeneous sphere, and a 3D head phantom based on the Shepp-Logan phantom. The TV3D-EM algorithm yielded somewhat lower noise levels than TV-EM. The noise in the TV3D-EM had similar correlation in transaxial and longitudinal sections, which was not the case for TV-EM, or any 2D reconstruction method. In particular, longitudinal sections from TV3D-EM were perceived as less noisy when compared to TV-EM. The use of 3D reconstruction should also be advantageous if compensation for distant dependent collimator blurring is incorporated in the iterative algorithm

Medical image reconstruction. A conceptual tutorial

International Nuclear Information System (INIS)

Zeng, Gengsheng Lawrence

2010-01-01

''Medical Image Reconstruction: A Conceptual Tutorial'' introduces the classical and modern image reconstruction technologies, such as two-dimensional (2D) parallel-beam and fan-beam imaging, three-dimensional (3D) parallel ray, parallel plane, and cone-beam imaging. This book presents both analytical and iterative methods of these technologies and their applications in X-ray CT (computed tomography), SPECT (single photon emission computed tomography), PET (positron emission tomography), and MRI (magnetic resonance imaging). Contemporary research results in exact region-of-interest (ROI) reconstruction with truncated projections, Katsevich's cone-beam filtered backprojection algorithm, and reconstruction with highly undersampled data with l 0 -minimization are also included. (orig.)

EIT image reconstruction with four dimensional regularization.

Science.gov (United States)

Dai, Tao; Soleimani, Manuchehr; Adler, Andy

2008-09-01

Electrical impedance tomography (EIT) reconstructs internal impedance images of the body from electrical measurements on body surface. The temporal resolution of EIT data can be very high, although the spatial resolution of the images is relatively low. Most EIT reconstruction algorithms calculate images from data frames independently, although data are actually highly correlated especially in high speed EIT systems. This paper proposes a 4-D EIT image reconstruction for functional EIT. The new approach is developed to directly use prior models of the temporal correlations among images and 3-D spatial correlations among image elements. A fast algorithm is also developed to reconstruct the regularized images. Image reconstruction is posed in terms of an augmented image and measurement vector which are concatenated from a specific number of previous and future frames. The reconstruction is then based on an augmented regularization matrix which reflects the a priori constraints on temporal and 3-D spatial correlations of image elements. A temporal factor reflecting the relative strength of the image correlation is objectively calculated from measurement data. Results show that image reconstruction models which account for inter-element correlations, in both space and time, show improved resolution and noise performance, in comparison to simpler image models.

Image-based point spread function implementation in a fully 3D OSEM reconstruction algorithm for PET.

Science.gov (United States)

Rapisarda, E; Bettinardi, V; Thielemans, K; Gilardi, M C

2010-07-21

The interest in positron emission tomography (PET) and particularly in hybrid integrated PET/CT systems has significantly increased in the last few years due to the improved quality of the obtained images. Nevertheless, one of the most important limits of the PET imaging technique is still its poor spatial resolution due to several physical factors originating both at the emission (e.g. positron range, photon non-collinearity) and at detection levels (e.g. scatter inside the scintillating crystals, finite dimensions of the crystals and depth of interaction). To improve the spatial resolution of the images, a possible way consists of measuring the point spread function (PSF) of the system and then accounting for it inside the reconstruction algorithm. In this work, the system response of the GE Discovery STE operating in 3D mode has been characterized by acquiring (22)Na point sources in different positions of the scanner field of view. An image-based model of the PSF was then obtained by fitting asymmetric two-dimensional Gaussians on the (22)Na images reconstructed with small pixel sizes. The PSF was then incorporated, at the image level, in a three-dimensional ordered subset maximum likelihood expectation maximization (OS-MLEM) reconstruction algorithm. A qualitative and quantitative validation of the algorithm accounting for the PSF has been performed on phantom and clinical data, showing improved spatial resolution, higher contrast and lower noise compared with the corresponding images obtained using the standard OS-MLEM algorithm.

Alpha image reconstruction (AIR): A new iterative CT image reconstruction approach using voxel-wise alpha blending

International Nuclear Information System (INIS)

Hofmann, Christian; Sawall, Stefan; Knaup, Michael; Kachelrieß, Marc

2014-01-01

Purpose: Iterative image reconstruction gains more and more interest in clinical routine, as it promises to reduce image noise (and thereby patient dose), to reduce artifacts, or to improve spatial resolution. Among vendors and researchers, however, there is no consensus of how to best achieve these aims. The general approach is to incorporatea priori knowledge into iterative image reconstruction, for example, by adding additional constraints to the cost function, which penalize variations between neighboring voxels. However, this approach to regularization in general poses a resolution noise trade-off because the stronger the regularization, and thus the noise reduction, the stronger the loss of spatial resolution and thus loss of anatomical detail. The authors propose a method which tries to improve this trade-off. The proposed reconstruction algorithm is called alpha image reconstruction (AIR). One starts with generating basis images, which emphasize certain desired image properties, like high resolution or low noise. The AIR algorithm reconstructs voxel-specific weighting coefficients that are applied to combine the basis images. By combining the desired properties of each basis image, one can generate an image with lower noise and maintained high contrast resolution thus improving the resolution noise trade-off. Methods: All simulations and reconstructions are performed in native fan-beam geometry. A water phantom with resolution bar patterns and low contrast disks is simulated. A filtered backprojection (FBP) reconstruction with a Ram-Lak kernel is used as a reference reconstruction. The results of AIR are compared against the FBP results and against a penalized weighted least squares reconstruction which uses total variation as regularization. The simulations are based on the geometry of the Siemens Somatom Definition Flash scanner. To quantitatively assess image quality, the authors analyze line profiles through resolution patterns to define a contrast

Genética em transtornos alimentares: ampliando os horizontes de pesquisa

Directory of Open Access Journals (Sweden)

Pinheiro Andréa Poyastro

2006-01-01

Full Text Available OBJETIVO: Revisar a literatura atual concernente à pesquisa genética em transtornos do comportamento alimentar e discutir questões relevantes ao desenvolvimento de um projeto de pesquisa genética nessa área no Brasil. MÉTODO: A revisão realizada utilizou a base de dados Medline, no período de 1984 a maio de 2005, com os seguintes termos de busca: "anorexia nervosa", "bulimia nervosa", "eating disorders", "binge eating disorder", "family studies", "twin studies", "molecular genetics studies". RESULTADOS: Os dados atuais apontam para uma contribuição relevante dos fatores genéticos na suscetibilidade à anorexia e à bulimia nervosa. A pesquisa genética com populações miscigenadas deve levar em consideração o tamanho da amostra, a densidade de genotipagem e a estratificação populacional. Através de "admixture mapping" é possível estimar a estrutura genética destas populações e localizar genes relacionados à variação étnica de doenças ou traços de interesse. CONCLUSÕES: O desenvolvimento de uma grande iniciativa de colaboração em genética de transtornos alimentares no Brasil e na América Latina viabilizará estudar os fatores genéticos em transtornos do comportamento alimentar no contexto de grupos inter-étnicos, e integrar uma nova perspectiva biológica à etiologia destes distúrbios.

Políticas do presente em Carlos Ríos e César Aira

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Antonio Carlos Santos

2013-06-01

Full Text Available Em Manigua, Pripyat e A la sombra de Chaki Chan, Carlos Ríos nos mostra uma face da con­temporaneidade: três territó­rios na mar­gem do Império, um aban­do­nado depois de um aci­dente na Usina Nuclear de Chernobil e habitado por seres con­tami­nados pela radia­ção, outro dispu­tado por etnias em vias de desapareci­mento e um terceiro disputado por gru­pos de catadores de alumínio. São relatos que se fazem com fragmentos catados na Internet, nomes, listas de palavras, peda­ços de histórias reutilizados em uma literatura que se faz com os restos de modos de vida que resis­tem em meio ao caos da guerra permanente.

Perfil dos Supervisores de Psicologia em Serviços-Escola Brasileiros

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Fabiana Vieira Gauy

Full Text Available Perfil dos supervisores de psicologia em Serviços-Escola Brasileiros (treino/atendimento Este trabalho teve como objetivo descrever o perfil demográfico dos supervisores dos cursos de graduação em Psicologia, obtidos pelo projeto de pesquisa intitulado "Serviços-Escola de Psicologia no Brasil", que tinha entre seus objetivos a caracterização dos serviços-escola de psicologia brasileiros. A pesquisa foi disponibilizada on-line em umsite da internet específico para a pesquisa, divulgado através de vários meios de comunicação, no qual, o participante em potencial da pesquisa (supervisor, estagiário ou gestor de uma das clinica escolas de Psicologia do Brasil, depois de acessar a pagina e o seu campo específico, informava dados pessoais (sexo e idade, dados institucionais (vínculo de trabalho, tipo de instituição e localização e dados profissionais (abordagem teórica e tempo de experiência/área. Do total de 846 participantes potenciais apenas 147 eram supervisores de cursos de Psicologia que haviam completado totalmente o questionário e foram, por isso, considerados para presente análise. Os dados coletados, no período de 2008 a 2010, apontaram que a maioria dos respondentes era do sexo feminino (77,6%, tinha idade entre 38 a 45 anos (45,5%, possuía vínculo formal de trabalho (90% com instituições de ensino privado (56%, localizadas nas Regiões Sul e Sudeste (78%. A Psicanálise figurou como abordagem mais referida (24% e aqueles que referiam ter mais de 10 anos de experiência em Psicodiagnóstico/Psicoterapia (64,4%. Apesar do tamanho da amostra não ser representativa do perfil dos supervisores brasileiros, os dados obtidos forneceram informações importantes sobre o perfil dos supervisores, peça chave na formação do aluno de graduação.

Balanços metabólicos do enxofre em pacientes com leucodistrofia metacromática

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Horacio M. Canelas

1968-12-01

Full Text Available Foram estudados os balanços metabólicos do enxofre em dois pacientes com a forma juvenil da leucodistrofia metacromática. Foi verificado, em ambos os casos, um balanço positivo desse metaloide, aparentemente não influenciado pelo tipo de dieta (geral ou vegetal. Este resultado está de acordo com a atual concepção patogênica dessa moléstia, que consiste, essencialmente, em uma sulfatidose com diminuição da atividade das sulfatases.

Curved planar reconstruction of MR images in focal cortical dysplasia of the brain

International Nuclear Information System (INIS)

Chung, Gyung Ho; Lee, Sang Yong; Kim, Chong So; Kim, Young Kon; Lee, Young Hwan; Jeong, Su Hyun

2002-01-01

To describe curved planar reconstruction imaging (CPR) and determine its usefulness in the evaluation of focal cortical dysplasia of the brain. In 17 cases of focal cortical dysplasia (cortical dysplasia (n=9), schizencephaly (n=5), and heterotopia (n=3), CPR images were created using a multiplanar reconstruction program and imaging data obtained during T1 magnetization prepared rapid acquisition gradient-echo MR imaging. We assessed the precise configuration of abnormalities and their relation to adjacent gyri and sulci. CPRI showed the brain cortex as a 2D panoramic image, demonstrating the precise configurations and locations of dysplasia-associated abnormalities and their relation to adjacent gyri and sulci, and the precise shape of the gray-white matter interface. CPRI can provide important radiological information about the extension and configuration of focal cortical dysplasia, and its relation to neighboring cortical structures. We believe that CPRI should form an essential part of the routine investigation os suspected cases of focal cortical dysplasia

Tomographic image reconstruction using training images

DEFF Research Database (Denmark)

Soltani, Sara; Andersen, Martin Skovgaard; Hansen, Per Christian

2017-01-01

We describe and examine an algorithm for tomographic image reconstruction where prior knowledge about the solution is available in the form of training images. We first construct a non-negative dictionary based on prototype elements from the training images; this problem is formulated within...

Diferenças entre marcas nos serviços multiple-play em Portugal

OpenAIRE

Silva, Pedro; Moreira, António; Moutinho, Victor

2014-01-01

A concorrência entre operadores do mercado das telecomunicações em Portugal tem sido intensa.Os serviços multiple-play têm vindo a conquistar a preferência dos portugueses e a oferta tem vindo a aumentar ao longo dos anos. Face ao aumento da competitividade dos principais concorrentes, seria de esperar que os desempenhos das suas marcas fossem muito equilibrados. O objetivo deste artigo é o de analisar as diferenças entre as três principais marcas multiple-play em Portugal. Para tal, foi efet...

Políticas do presente em Carlos Ríos e César Aira

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Antonio Carlos Santos

2013-12-01

Full Text Available http://dx.doi.org/10.5007/1984-784X.2013v13n19p20 Em Manigua, Pripyat e A la sombra de Chaki Chan, Carlos Ríos nos mostra uma face da con­temporaneidade: três territó­rios na mar­gem do Império, um aban­do­nado depois de um aci­dente na Usina Nuclear de Chernobil e habitado por seres con­tami­nados pela radia­ção, outro dispu­tado por etnias em vias de desapareci­mento e um terceiro disputado por gru­pos de catadores de alumínio. São relatos que se fazem com fragmentos catados na Internet, nomes, listas de palavras, peda­ços de histórias reutilizados em uma literatura que se faz com os restos de modos de vida que resis­tem em meio ao caos da guerra permanente.

Method for position emission mammography image reconstruction

Science.gov (United States)

Smith, Mark Frederick

2004-10-12

An image reconstruction method comprising accepting coincidence datat from either a data file or in real time from a pair of detector heads, culling event data that is outside a desired energy range, optionally saving the desired data for each detector position or for each pair of detector pixels on the two detector heads, and then reconstructing the image either by backprojection image reconstruction or by iterative image reconstruction. In the backprojection image reconstruction mode, rays are traced between centers of lines of response (LOR's), counts are then either allocated by nearest pixel interpolation or allocated by an overlap method and then corrected for geometric effects and attenuation and the data file updated. If the iterative image reconstruction option is selected, one implementation is to compute a grid Siddon retracing, and to perform maximum likelihood expectation maiximization (MLEM) computed by either: a) tracing parallel rays between subpixels on opposite detector heads; or b) tracing rays between randomized endpoint locations on opposite detector heads.

Photoacoustic image reconstruction via deep learning

Science.gov (United States)

Antholzer, Stephan; Haltmeier, Markus; Nuster, Robert; Schwab, Johannes

2018-02-01

Applying standard algorithms to sparse data problems in photoacoustic tomography (PAT) yields low-quality images containing severe under-sampling artifacts. To some extent, these artifacts can be reduced by iterative image reconstruction algorithms which allow to include prior knowledge such as smoothness, total variation (TV) or sparsity constraints. These algorithms tend to be time consuming as the forward and adjoint problems have to be solved repeatedly. Further, iterative algorithms have additional drawbacks. For example, the reconstruction quality strongly depends on a-priori model assumptions about the objects to be recovered, which are often not strictly satisfied in practical applications. To overcome these issues, in this paper, we develop direct and efficient reconstruction algorithms based on deep learning. As opposed to iterative algorithms, we apply a convolutional neural network, whose parameters are trained before the reconstruction process based on a set of training data. For actual image reconstruction, a single evaluation of the trained network yields the desired result. Our presented numerical results (using two different network architectures) demonstrate that the proposed deep learning approach reconstructs images with a quality comparable to state of the art iterative reconstruction methods.

A novel data processing technique for image reconstruction of penumbral imaging

Science.gov (United States)

Xie, Hongwei; Li, Hongyun; Xu, Zeping; Song, Guzhou; Zhang, Faqiang; Zhou, Lin

2011-06-01

CT image reconstruction technique was applied to the data processing of the penumbral imaging. Compared with other traditional processing techniques for penumbral coded pinhole image such as Wiener, Lucy-Richardson and blind technique, this approach is brand new. In this method, the coded aperture processing method was used for the first time independent to the point spread function of the image diagnostic system. In this way, the technical obstacles was overcome in the traditional coded pinhole image processing caused by the uncertainty of point spread function of the image diagnostic system. Then based on the theoretical study, the simulation of penumbral imaging and image reconstruction was carried out to provide fairly good results. While in the visible light experiment, the point source of light was used to irradiate a 5mm×5mm object after diffuse scattering and volume scattering. The penumbral imaging was made with aperture size of ~20mm. Finally, the CT image reconstruction technique was used for image reconstruction to provide a fairly good reconstruction result.

High-speed reconstruction of compressed images

Science.gov (United States)

Cox, Jerome R., Jr.; Moore, Stephen M.

1990-07-01

A compression scheme is described that allows high-definition radiological images with greater than 8-bit intensity resolution to be represented by 8-bit pixels. Reconstruction of the images with their original intensity resolution can be carried out by means of a pipeline architecture suitable for compact, high-speed implementation. A reconstruction system is described that can be fabricated according to this approach and placed between an 8-bit display buffer and the display's video system thereby allowing contrast control of images at video rates. Results for 50 CR chest images are described showing that error-free reconstruction of the original 10-bit CR images can be achieved.

Os efeitos da música em biomarcadores de estresse, imunológicos e comportamentais em portadores do espectro autista

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Juliane Neves Fiorezi

2018-02-01

Full Text Available Resumo: A utilização da Musicoterapia em portadores do Transtorno do Espectro Autista (TEA teve início na década de 60 e mostrou promover benefícios, tais como: diminuição de crises comportamentais, diminuição de resistência ao tratamento, melhora nos relacionamentos interpessoais, aquisição de liberdade expressiva, aquisição da melhora vocal, melhora na comunicação, aquisição de confiança verbal e vocal, aquisição de ordem rítmica e melhora na produção da fala e mutualidade (BRANDALISE, 2013. Objetivo: embora os resultados em nível comunicacional sejam de amplo conhecimento e na busca por compreender o impacto da música nos biomarcadores imunológicos e de estresse nesses indivíduos, o presente artigo tem por objetivo apresentar uma breve revisão dos estudos recentes acerca dessa temática. Método: Foram utilizadas ferramentas de busca nas bases de dados PubMed, Lilacs, Cochrane e Scielo. A busca foi realizada em artigos publicados em português e inglês, por meio dos descritores “imunoglobulina”, “cortisol salivar”, “dano celular” e “autismo”. Resultado: por meio da pesquisa foi possível constatar a influência da música como um meio complementar no cuidado de portadores do TEA, enquanto instrumento de promoção da saúde e melhoria de qualidade de vida desses indivíduos. Considerações finais: Embora os estudos apontem os benefícios da música em portadores do TEA, sugere-se que sejam realizadas mais pesquisas nesse campo, sobretudo no Brasil. Portanto, o presente artigo se propõe como base teórica para uma posterior pesquisa-intervenção a fim de verificar os possíveis efeitos provocados por diferentes tipos de escuta musical sobre os indicadores de cortisol salivar, imunoglobulina A e dano celular de células epiteliais, bem como nos aspectos comportamentais, em crianças portadoras do Transtorno do Espectro Autista. A segunda fase da pesquisa já está em desenvolvimento, por meio do

Ensino de Filosofia em espaços não formais: notas de uma experiência

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Silmara Cristiane Pinto

2015-11-01

Full Text Available DOI: http://dx.doi.org/10.5902/1984644415857Este artigo tem como objetivo apresentar os resultados do projeto de extensão “Ensino de filosofia em espaços não formais”, explicitando basicamente os processos de sua execução em termos práticos tanto quanto os desdobramentos filosóficos de seu transcorrer. Em princípio a ideia geral do projeto consistiu em criar um espaço dedicado às possibilidades de experiência com o filosofar que produzisse aos participantes um modo de relação com a filosofia diferente daquele estabelecido em ambientes formais como, por exemplo, a instituição escolar. Devido às experiências anteriores no que se refere ao ensino de filosofia demarcado pelas formalidades institucionais, procuramos transbordar esses espaços convertendo o ensino clássico em uma dimensão dialógica de aprendizagem e de criação de novos espaços de pensamento. Respaldados pelas contribuições filosóficas de Gilles Deleuze e Jacques Rancière, procuramos desterritorializar o ensino da filosofia de sua tradição histórica, afirmando-o eventualmente nas potencialidades criativas do pensar, na contingência das afecções, no encontro com os signos. Em síntese, a escrita deste texto nos permite explorar algumas implicações daquilo que projetamos e do que vivenciamos doravante nossa própria construção de sentido acerca do ensinar e do aprender filosofia, principalmente do que significa pensar filosoficamente.

ABORDAGENS SOCIOTÉCNICAS E OS ESTUDOS EM TECNOLOGIA SOCIAL

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José de Arimatéia Dias Valadão

2014-05-01

Full Text Available Este ensaio procura discutir as perspectivas sociotécnicas como base para o desenvolvimento teórico em tecnologia social (TS. Para subsidiar essa discussão foram analisadas a abordagem dos sistemas sociotécnicos elaborada inicialmente por Trist, Emery e colaboradores do Instituto Tavistock; a abordagem da adequação sociotécnica oriunda da perspectiva construtivista da tecnologia e a abordagem dos híbridos sociotécnicos proposta por Latour. O argumento central é que o desenvolvimento de TS deve considerar as tramas de relações, em que tanto os aspectos sociais como técnicos estão imbricados nas organizações, evitando as ênfases de cada corrente e considerando a mediação sociotécnica como principal unidade de análise nos estudos em TS. A motivação dessa discussão é que a aplicação das abordagens sociotécnicas, sem o equilíbrio aparente das mediações sociotécnicas, parece fazer das TS somente mais uma dentre muitas outras abordagens “alternativas”, como os próprios estudos na área têm criticado.

3-D image reconstruction in radiology

International Nuclear Information System (INIS)

Grangeat, P.

1999-01-01

In this course, we present highlights on fully 3-D image reconstruction algorithms used in 3-D X-ray Computed Tomography (3-D-CT) and 3-D Rotational Radiography (3-D-RR). We first consider the case of spiral CT with a one-row detector. Starting from the 2-D fan-beam inversion formula for a circular trajectory, we introduce spiral CT 3-D image reconstruction algorithm using axial interpolation for each transverse slice. In order to improve the X-ray detection efficiency and to speed the acquisition process, the future is to use multi-row detectors associated with small angle cone-beam geometry. The generalization of the 2-D fan-beam image reconstruction algorithm to cone beam defined direct inversion formula referred as Feldkamp's algorithm for a circular trajectory and Wang's algorithm for a spiral trajectory. However, large area detectors does exist such as Radiological Image Intensifiers or in a near future solid state detectors. To get a larger zoom effect, it defines a cone-beam geometry associated with a large aperture angle. For this case, we introduce indirect image reconstruction algorithm by plane re-binning in the Radon domain. We will present some results from a prototype MORPHOMETER device using the RADON reconstruction software. Lastly, we consider the special case of 3-D Rotational Digital Subtraction Angiography with a restricted number of views. We introduce constraint optimization algorithm using quadratic, entropic or half-quadratic constraints. Generalized ART (Algebraic Reconstruction Technique) iterative reconstruction algorithm can be derived from the Bregman algorithm. We present reconstructed vascular trees from a prototype MORPHOMETER device. (author)

Tomographic image reconstruction using Artificial Neural Networks

International Nuclear Information System (INIS)

Paschalis, P.; Giokaris, N.D.; Karabarbounis, A.; Loudos, G.K.; Maintas, D.; Papanicolas, C.N.; Spanoudaki, V.; Tsoumpas, Ch.; Stiliaris, E.

2004-01-01

A new image reconstruction technique based on the usage of an Artificial Neural Network (ANN) is presented. The most crucial factor in designing such a reconstruction system is the network architecture and the number of the input projections needed to reconstruct the image. Although the training phase requires a large amount of input samples and a considerable CPU time, the trained network is characterized by simplicity and quick response. The performance of this ANN is tested using several image patterns. It is intended to be used together with a phantom rotating table and the γ-camera of IASA for SPECT image reconstruction

O QUE É UM AMBIENTE LAICO? ESPAÇOS (INTERRELIGIOSOS EM INSTITUIÇÕES PÚBLICAS

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Emerson Giumbelli

2014-03-01

Full Text Available O texto resulta de uma pesquisa sobre espaços religiosos existentes em instituições públicas na cidade de Porto Alegre, Brasil. Acompanha a polêmica que se levantou em torno da proposta da direção de um hospital público, que consistia em transformar uma capela católica em um “espaço de espiritualidade”. A referência, no seio desta polêmica, a outras experiências de elaboração de espaços ecumênicos ou interreligiosos, na mesma cidade, propicia um panorama ampliado, que contempla outros dois hospitais, um shopping center o aeroporto da cidade. Ao procurar entender os argumentos e propostas em jogo, a análise empreendida pretende discutir a noção de laicidade, demonstrando a multiplicidade de entendimentos e de configurações que sobre ela se manifestam.

Model-Based Reconstructive Elasticity Imaging Using Ultrasound

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Salavat R. Aglyamov

2007-01-01

Full Text Available Elasticity imaging is a reconstructive imaging technique where tissue motion in response to mechanical excitation is measured using modern imaging systems, and the estimated displacements are then used to reconstruct the spatial distribution of Young's modulus. Here we present an ultrasound elasticity imaging method that utilizes the model-based technique for Young's modulus reconstruction. Based on the geometry of the imaged object, only one axial component of the strain tensor is used. The numerical implementation of the method is highly efficient because the reconstruction is based on an analytic solution of the forward elastic problem. The model-based approach is illustrated using two potential clinical applications: differentiation of liver hemangioma and staging of deep venous thrombosis. Overall, these studies demonstrate that model-based reconstructive elasticity imaging can be used in applications where the geometry of the object and the surrounding tissue is somewhat known and certain assumptions about the pathology can be made.

Photoacoustic image reconstruction: a quantitative analysis

Science.gov (United States)

Sperl, Jonathan I.; Zell, Karin; Menzenbach, Peter; Haisch, Christoph; Ketzer, Stephan; Marquart, Markus; Koenig, Hartmut; Vogel, Mika W.

2007-07-01

Photoacoustic imaging is a promising new way to generate unprecedented contrast in ultrasound diagnostic imaging. It differs from other medical imaging approaches, in that it provides spatially resolved information about optical absorption of targeted tissue structures. Because the data acquisition process deviates from standard clinical ultrasound, choice of the proper image reconstruction method is crucial for successful application of the technique. In the literature, multiple approaches have been advocated, and the purpose of this paper is to compare four reconstruction techniques. Thereby, we focused on resolution limits, stability, reconstruction speed, and SNR. We generated experimental and simulated data and reconstructed images of the pressure distribution using four different methods: delay-and-sum (DnS), circular backprojection (CBP), generalized 2D Hough transform (HTA), and Fourier transform (FTA). All methods were able to depict the point sources properly. DnS and CBP produce blurred images containing typical superposition artifacts. The HTA provides excellent SNR and allows a good point source separation. The FTA is the fastest and shows the best FWHM. In our study, we found the FTA to show the best overall performance. It allows a very fast and theoretically exact reconstruction. Only a hardware-implemented DnS might be faster and enable real-time imaging. A commercial system may also perform several methods to fully utilize the new contrast mechanism and guarantee optimal resolution and fidelity.

Dynamic PET Image reconstruction for parametric imaging using the HYPR kernel method

Science.gov (United States)

Spencer, Benjamin; Qi, Jinyi; Badawi, Ramsey D.; Wang, Guobao

2017-03-01

Dynamic PET image reconstruction is a challenging problem because of the ill-conditioned nature of PET and the lowcounting statistics resulted from short time-frames in dynamic imaging. The kernel method for image reconstruction has been developed to improve image reconstruction of low-count PET data by incorporating prior information derived from high-count composite data. In contrast to most of the existing regularization-based methods, the kernel method embeds image prior information in the forward projection model and does not require an explicit regularization term in the reconstruction formula. Inspired by the existing highly constrained back-projection (HYPR) algorithm for dynamic PET image denoising, we propose in this work a new type of kernel that is simpler to implement and further improves the kernel-based dynamic PET image reconstruction. Our evaluation study using a physical phantom scan with synthetic FDG tracer kinetics has demonstrated that the new HYPR kernel-based reconstruction can achieve a better region-of-interest (ROI) bias versus standard deviation trade-off for dynamic PET parametric imaging than the post-reconstruction HYPR denoising method and the previously used nonlocal-means kernel.

Dispositivos médicos em eletrofisiologia: os hábitos dos utilizadores

OpenAIRE

Barbosa, António Ricardo Carvalho

2011-01-01

Mestrado em Marketing Os mercados atuais em que as empresas operam estão cada vez mais “turbulentos” e “voláteis”, assim a sua sobrevivência nestas condições tornou-se uma questão estratégica. Os sistemas de informação de marketing surgiram como forma de permitir à área de marketing e aos gestores de vendas identificar, interpretar e reagir aos sinais do mercado. Este projeto empresa tem como objetivo conhecer o potencial de mercado de quatro hospitais, na área da eletrofisiologia, na á...

A QUALIDADE DE SERVIÇOS COMO DIFERENCIAL COMPETITIVO EM CONCESSIONÁRIAS DE AUTOMÓVEIS

OpenAIRE

Cesar Adolar Soares Manzoni

2010-01-01

O presente trabalho apresenta um estudo de caso, em uma concessionária de automóveis, localizada no interior do Rio Grande do Sul, Brasil. Objetivou-se analisar a gestão estratégica de serviços e identificar fatores como diferencial competitivo para a fidelização de clientes, em uma concessionária de automóveis. Para atingir esse objetivo foi necessário, num primeiro momento, realizar uma pesquisa bibliográfica sobre qualidade em serviços, e, num segundo momento, analisar a ...

Geologia e metáforas geológicas em Os sertões Geology and geological metaphor in Os sertões

Directory of Open Access Journals (Sweden)

José Carlos Barreto de Santana

1998-07-01

Full Text Available Neste artigo é feita uma interpretação da construção do conhecimento geológico do principal livro de Euclides da Cunha. Visando caracterizar este conhecimento, são buscadas em cadernetas de anotações, reportagens e artigos de e sobre Euclides da Cunha e no próprio livro, as evidências que possam nortear o entendimento de por que o conteúdo geológico ganha tão forte significação em Os sertões, a ponto de se constituir em elemento para construções metafóricas em momentos importantes da sua narrativa. Partindo dos escritos de Euclides da Cunha, relacionados à guerra de Canudos, mas anteriores ao livro, busco uma interpretação sobre a maneira como se processava o conhecimento do engenheiro nas suas mediações com autores e trabalhos das ciências naturais e mais especificamente geológicas, o que significa, em certos momentos, uma comparação textual de Os sertões com livros e artigos, cujas evidências apontem a possibilidade de terem servido de fonte para o escritor.The article interprets the construction of geological knowledge in Euclides da Cunha’s major work. Notebooks, news reports, and articles by and about Cunha and his book offer up clues as to why geological content gains such import in Os sertões - even constituting an element for metaphorical constructions at key points in the narrative. Based on Cunha’s writings on the battle of Canudos dated prior to publication of Os sertões, the article offers an interpretation of how this engineer’s knowledge was processed in his contact with authors and works from the natural sciences, especially geology. Textual comparisons are made between Os sertões and books and articles which appear to have served as sources for Cunha.

Heuristic optimization in penumbral image for high resolution reconstructed image

International Nuclear Information System (INIS)

Azuma, R.; Nozaki, S.; Fujioka, S.; Chen, Y. W.; Namihira, Y.

2010-01-01

Penumbral imaging is a technique which uses the fact that spatial information can be recovered from the shadow or penumbra that an unknown source casts through a simple large circular aperture. The size of the penumbral image on the detector can be mathematically determined as its aperture size, object size, and magnification. Conventional reconstruction methods are very sensitive to noise. On the other hand, the heuristic reconstruction method is very tolerant of noise. However, the aperture size influences the accuracy and resolution of the reconstructed image. In this article, we propose the optimization of the aperture size for the neutron penumbral imaging.

Pinhole single-photon emission tomography reconstruction based on median root prior

International Nuclear Information System (INIS)

Sohlberg, Antti; Kuikka, Jyrki T.; Ruotsalainen, Ulla

2003-01-01

The maximum likelihood expectation maximisation (ML-EM) algorithm can be used to reduce reconstruction artefacts produced by filtered backprojection (FBP) methods in pinhole single-photon emission tomography (SPET). However, ML-EM suffers from noise propagation along iterations, which leads to quantitatively unpleasant reconstruction results. To avoid this increase in noise, the median root prior (MRP) algorithm for pinhole SPET was implemented. Projection data of a line source and Picker's thyroid phantom were collected using a single-head gamma camera with a pinhole collimator. MRP was added to existing pinhole ML-EM reconstruction algorithm and the phantom studies were reconstructed using MRP, ML-EM and FBP for comparison. Coefficients of variation, contrasts and full-widths at half-maximum were calculated and showed a clear reduction in noise without significant loss of resolution or decrease in contrast when MRP was applied. MRP also produced visually pleasing images even with high iteration numbers, free of the checkerboard-type noise patterns which are typical of ML-EM images. (orig.)

ANÁLISE SENSORIAL DE MANGA (MANGIFERA INDICA L. VAR. HADEN, EM PEDAÇOS, PROCESSADA E CONGELADA

Directory of Open Access Journals (Sweden)

HELENA MARIA BOLINI CARDELLO

2009-07-01

Full Text Available

RESUMO: As frutas tropicais são de grande interesse para indústrias de alimentos, por suas propriedades nutricionais, sabor e aroma característicos. O objetivo do presente estudo foi verificar qual a melhor forma de armazenar manga (Mangifera indica L., var. Haden, em pedaços, a –18ºC, sob os aspectos físico-químico e sensorial, visando seu aproveitamento em entressafra. Foram realizados três diferentes processamentos: 1. manga em pedaços uniformes, em embalagens de filme de nylon/poliestireno; 2. manga em pedaços uniformes, em calda, a 40ºBrix, enlatados e submetidos a tratamento térmico. As amostras foram analisadas a cada 30 dias, por um período de 180 dias, sob os aspectos físico-químico e sensorial por uma equipe de trinta provadores que avaliaram a aceitação do produto em relação à cor, ao sabor e à textura. As amostras foram apresentadas por delineamento de blocos completos casualizados. Os resultados foram analisados por ANOVA e teste de média de Tukey. Após os 180 dias, todos os atributos sensoriais e parâmetros avaliados se mantiveram estáveis, sem diferenças significativas entre o produto inicial e final, para os três processamentos empregados, indicando que estes são válidos como técnicas de conservação para manga Haden. PALAVRAS-CHAVE: Análise sensorial; manga; pedaços; processamento; congelamento.

Reconstruction Algorithms in Undersampled AFM Imaging

DEFF Research Database (Denmark)

Arildsen, Thomas; Oxvig, Christian Schou; Pedersen, Patrick Steffen

2016-01-01

This paper provides a study of spatial undersampling in atomic force microscopy (AFM) imaging followed by different image reconstruction techniques based on sparse approximation as well as interpolation. The main reasons for using undersampling is that it reduces the path length and thereby...... the scanning time as well as the amount of interaction between the AFM probe and the specimen. It can easily be applied on conventional AFM hardware. Due to undersampling, it is then necessary to further process the acquired image in order to reconstruct an approximation of the image. Based on real AFM cell...... images, our simulations reveal that using a simple raster scanning pattern in combination with conventional image interpolation performs very well. Moreover, this combination enables a reduction by a factor 10 of the scanning time while retaining an average reconstruction quality around 36 dB PSNR...

Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization

International Nuclear Information System (INIS)

Sidky, Emil Y; Pan Xiaochuan

2008-01-01

An iterative algorithm, based on recent work in compressive sensing, is developed for volume image reconstruction from a circular cone-beam scan. The algorithm minimizes the total variation (TV) of the image subject to the constraint that the estimated projection data is within a specified tolerance of the available data and that the values of the volume image are non-negative. The constraints are enforced by the use of projection onto convex sets (POCS) and the TV objective is minimized by steepest descent with an adaptive step-size. The algorithm is referred to as adaptive-steepest-descent-POCS (ASD-POCS). It appears to be robust against cone-beam artifacts, and may be particularly useful when the angular range is limited or when the angular sampling rate is low. The ASD-POCS algorithm is tested with the Defrise disk and jaw computerized phantoms. Some comparisons are performed with the POCS and expectation-maximization (EM) algorithms. Although the algorithm is presented in the context of circular cone-beam image reconstruction, it can also be applied to scanning geometries involving other x-ray source trajectories

Análise de trilha da contaminação por aflatoxinas em grãos de milho armazenados

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Adriana Sbardelotto Di Domenico

2015-06-01

Full Text Available O objetivo deste trabalho foi determinar a magnitude dos efeitos diretos e indiretos de parâmetros físico-químicos e microbiológicos sobre a ocorrência de aflatoxinas em grãos de milho armazenados, por meio da análise de trilha. Os dados foram coletados em dois experimentos: um cultivo de inverno (colheita do milho em julho de 2012 e um cultivo de verão (colheita em fevereiro de 2013. Os grãos foram armazenados por 12 meses, em dois tipos de acondicionamentos: em sacarias convencionais de polipropileno e a granel em silo metálico. Avaliaram-se 14 características dos grãos. Calculou-se a matriz de correlações de Pearson entre todos os parâmetros, realizou-se o diagnóstico de multicolinearidade e, posteriormente, aplicou-se a análise de trilha com regressão em crista. Observou-se forte influência das condições ambientais entre as safras de inverno e de verão, e entre época e tipo de armazenagem, nos coeficientes de análise de trilha. As variáveis teor de umidade, conteúdo de cinzas, proteínas, lipídios, grãos sem defeitos, massa volumétrica, incidência de Penicillium sp., Aspergillus sp. e Fusarium sp. devem ser consideradas conjuntamente na definição da possibilidade de ocorrência de aflatoxinas na massa de grãos armazenados.

Estudo de conforto em espaços abertos em região de clima temperado: o caso de Glasgow, Reino Unido

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Eduardo Leite Krüger

Full Text Available O estudo da sensação de conforto térmico em espaços abertos deve ser entendido como primordial para o planejamento climaticamente adequado de áreas urbanas. Através do aumento da atratividade das àreas abertas e do incentivo às atividades ao ar livre, o planejamento urbano norteado do pelas preferências térmicas da população torna-se um agente facilitador do uso desses espaços. O presente trabalho analisa a sensação térmica de moradores de Glasgow, Reino Unido, localizada em região temperada, comparando respostas obtidas por meio de entrevistas estruturadas a índices utilizados pela meteorologia (Wind Chill e THSW e em estudos de conforto (PET e PMV. Os dados foram coletados em 19 campanhas de monitoramento, no período do inverno ao verão de 2011. Para a coleta de dados, foi utilizada uma estação Davis Vantage Pro2, contendo sensores de temperatura e umidade relativa, anemômetro e piranômetro. Foi confeccionado um termômetro de globo, utilizado para obtenção da temperatura radiante média (TRM, equipado com um data logger (Tinytag-TGP-4500. Os resultados indicam que os índices THSW e PET foram os que mais se aproximaram da resposta térmica dos entrevistados, podendo ser aplicados no entendimento das condições do clima na cidade e entorno de Glasgow.

Computational acceleration for MR image reconstruction in partially parallel imaging.

Science.gov (United States)

Ye, Xiaojing; Chen, Yunmei; Huang, Feng

2011-05-01

In this paper, we present a fast numerical algorithm for solving total variation and l(1) (TVL1) based image reconstruction with application in partially parallel magnetic resonance imaging. Our algorithm uses variable splitting method to reduce computational cost. Moreover, the Barzilai-Borwein step size selection method is adopted in our algorithm for much faster convergence. Experimental results on clinical partially parallel imaging data demonstrate that the proposed algorithm requires much fewer iterations and/or less computational cost than recently developed operator splitting and Bregman operator splitting methods, which can deal with a general sensing matrix in reconstruction framework, to get similar or even better quality of reconstructed images.

Traços estereotípicos associados a pessoas jovens e idosas em Portugal

OpenAIRE

Marques, Sibila; Lima, Maria Luísa; Novo, Rosa

2006-01-01

O objectivo geral deste trabalho foi o de recolher os atributos estereotípicos do grupo das pessoas jovens e idosas em Portugal. Foi conduzido um estudo em que se procedeu ao controlo do sexo dos alvos e da pertença etária dos participantes. Na primeira fase do estudo, 67 pessoas jovens e 85 pessoas idosas realizaram uma tarefa de geração espontânea de traços culturalmente associados a pessoas jovens e idosas de ambos os sexos. No segunda fase do estudo, 62 pessoas jovens e 62 pes...

Regionalização em Saúde no Amazonas: avanços e desafios

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Luiza Garnelo

Full Text Available Resumo O artigo analisa o processo de regionalização em saúde no estado do Amazonas por meio de estudo de caso da regional em Saúde Entorno de Manaus. Pesquisa qualitativa, descritivo-analítica, cujos dados foram coletados através de entrevistas, revisão de documentos e de páginas de internet, tomando como conceito guia a regionalização em saúde. Os achados do estudo mostram uma cena social onde predominam a assimetria, a verticalidade, a competitividade e a fragilidade das relações multilaterais entre municípios, associados a um perfil cartorial das instituições que atuam na região de saúde sob estudo. Os agentes políticos envolvidos no processo têm limitado reconhecimento das condições sociopolíticas e institucionais em que atuam. Tendem a atribuir os problemas de gestão e operacionalização das redes de assistência à configuração dos espaços naturais-geográficos amazônicos, mas seu financiamento, governança e capacidade técnica são insuficientes para superá-los.

Simulated annealing image reconstruction for positron emission tomography

International Nuclear Information System (INIS)

Sundermann, E.; Lemahieu, I.; Desmedt, P.

1994-01-01

In Positron Emission Tomography (PET) images have to be reconstructed from moisy projection data. The noise on the PET data can be modeled by a Poison distribution. In this paper, we present the results of using the simulated annealing technique to reconstruct PET images. Various parameter settings of the simulated annealing algorithm are discussed and optimized. The reconstructed images are of good quality and high contrast, in comparison to other reconstruction techniques. (authors)

Optimization of the alpha image reconstruction. An iterative CT-image reconstruction with well-defined image quality metrics

Energy Technology Data Exchange (ETDEWEB)

Lebedev, Sergej; Sawall, Stefan; Knaup, Michael; Kachelriess, Marc [German Cancer Research Center, Heidelberg (Germany).

2017-10-01

Optimization of the AIR-algorithm for improved convergence and performance. TThe AIR method is an iterative algorithm for CT image reconstruction. As a result of its linearity with respect to the basis images, the AIR algorithm possesses well defined, regular image quality metrics, e.g. point spread function (PSF) or modulation transfer function (MTF), unlike other iterative reconstruction algorithms. The AIR algorithm computes weighting images α to blend between a set of basis images that preferably have mutually exclusive properties, e.g. high spatial resolution or low noise. The optimized algorithm uses an approach that alternates between the optimization of rawdata fidelity using an OSSART like update and regularization using gradient descent, as opposed to the initially proposed AIR using a straightforward gradient descent implementation. A regularization strength for a given task is chosen by formulating a requirement for the noise reduction and checking whether it is fulfilled for different regularization strengths, while monitoring the spatial resolution using the voxel-wise defined modulation transfer function for the AIR image. The optimized algorithm computes similar images in a shorter time compared to the initial gradient descent implementation of AIR. The result can be influenced by multiple parameters that can be narrowed down to a relatively simple framework to compute high quality images. The AIR images, for instance, can have at least a 50% lower noise level compared to the sharpest basis image, while the spatial resolution is mostly maintained. The optimization improves performance by a factor of 6, while maintaining image quality. Furthermore, it was demonstrated that the spatial resolution for AIR can be determined using regular image quality metrics, given smooth weighting images. This is not possible for other iterative reconstructions as a result of their non linearity. A simple set of parameters for the algorithm is discussed that provides

Optimization of the alpha image reconstruction. An iterative CT-image reconstruction with well-defined image quality metrics

International Nuclear Information System (INIS)

Lebedev, Sergej; Sawall, Stefan; Knaup, Michael; Kachelriess, Marc

2017-01-01

Optimization of the AIR-algorithm for improved convergence and performance. TThe AIR method is an iterative algorithm for CT image reconstruction. As a result of its linearity with respect to the basis images, the AIR algorithm possesses well defined, regular image quality metrics, e.g. point spread function (PSF) or modulation transfer function (MTF), unlike other iterative reconstruction algorithms. The AIR algorithm computes weighting images α to blend between a set of basis images that preferably have mutually exclusive properties, e.g. high spatial resolution or low noise. The optimized algorithm uses an approach that alternates between the optimization of rawdata fidelity using an OSSART like update and regularization using gradient descent, as opposed to the initially proposed AIR using a straightforward gradient descent implementation. A regularization strength for a given task is chosen by formulating a requirement for the noise reduction and checking whether it is fulfilled for different regularization strengths, while monitoring the spatial resolution using the voxel-wise defined modulation transfer function for the AIR image. The optimized algorithm computes similar images in a shorter time compared to the initial gradient descent implementation of AIR. The result can be influenced by multiple parameters that can be narrowed down to a relatively simple framework to compute high quality images. The AIR images, for instance, can have at least a 50% lower noise level compared to the sharpest basis image, while the spatial resolution is mostly maintained. The optimization improves performance by a factor of 6, while maintaining image quality. Furthermore, it was demonstrated that the spatial resolution for AIR can be determined using regular image quality metrics, given smooth weighting images. This is not possible for other iterative reconstructions as a result of their non linearity. A simple set of parameters for the algorithm is discussed that provides

Saber, agir e educar: o ensino-aprendizagem em serviços de Saúde

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Maria Alice Amorim Garcia

2001-02-01

Full Text Available Este artigo aborda a questão do processo ensino-aprendizagem em serviços de saúde, em especial os integrados à rede pública. Repensando algumas teorias pedagógicas, discute aspectos do ensino experimentado no trabalho cotidiano. O trabalho realizado nestes serviços possibilita articular a educação a suas dimensões sociais, ideológicas e técnicas e definir não somente pelas necessidades dos profissionais, mas como resposta à realidade e às finalidades que orientam a institucionalização do sistema de saúde brasileiro. A dialética entre a prática educacional e o cuidado em saúde tem gerado correntes de pensamento e de ação inovadoras, podendo-se dizer que a educação em serviços ressalta o potencial pedagógico do trabalho cotidiano, orienta a aprendizagem enquanto um processo contínuo e de natureza participativa e possibilita a articulação entre o fazer, o educar, o saber. Por integrar o individual, o grupal, o institucional e o social, o cognitivo e o afetivo, esse processo pedagógico pode representar um espaço comprometido com a transformação das práticas, necessária à efetivação de uma Reforma Sanitária em defesa da vida.

Saber, agir e educar: o ensino-aprendizagem em serviços de Saúde

Directory of Open Access Journals (Sweden)

Maria Alice Amorim Garcia

Full Text Available Este artigo aborda a questão do processo ensino-aprendizagem em serviços de saúde, em especial os integrados à rede pública. Repensando algumas teorias pedagógicas, discute aspectos do ensino experimentado no trabalho cotidiano. O trabalho realizado nestes serviços possibilita articular a educação a suas dimensões sociais, ideológicas e técnicas e definir não somente pelas necessidades dos profissionais, mas como resposta à realidade e às finalidades que orientam a institucionalização do sistema de saúde brasileiro. A dialética entre a prática educacional e o cuidado em saúde tem gerado correntes de pensamento e de ação inovadoras, podendo-se dizer que a educação em serviços ressalta o potencial pedagógico do trabalho cotidiano, orienta a aprendizagem enquanto um processo contínuo e de natureza participativa e possibilita a articulação entre o fazer, o educar, o saber. Por integrar o individual, o grupal, o institucional e o social, o cognitivo e o afetivo, esse processo pedagógico pode representar um espaço comprometido com a transformação das práticas, necessária à efetivação de uma Reforma Sanitária em defesa da vida.

Penalised Maximum Likelihood Simultaneous Longitudinal PET Image Reconstruction with Difference-Image Priors.

Science.gov (United States)

Ellis, Sam; Reader, Andrew J

2018-04-26

Many clinical contexts require the acquisition of multiple positron emission tomography (PET) scans of a single subject, for example to observe and quantify changes in functional behaviour in tumours after treatment in oncology. Typically, the datasets from each of these scans are reconstructed individually, without exploiting the similarities between them. We have recently shown that sharing information between longitudinal PET datasets by penalising voxel-wise differences during image reconstruction can improve reconstructed images by reducing background noise and increasing the contrast-to-noise ratio of high activity lesions. Here we present two additional novel longitudinal difference-image priors and evaluate their performance using 2D simulation studies and a 3D real dataset case study. We have previously proposed a simultaneous difference-image-based penalised maximum likelihood (PML) longitudinal image reconstruction method that encourages sparse difference images (DS-PML), and in this work we propose two further novel prior terms. The priors are designed to encourage longitudinal images with corresponding differences which have i) low entropy (DE-PML), and ii) high sparsity in their spatial gradients (DTV-PML). These two new priors and the originally proposed longitudinal prior were applied to 2D simulated treatment response [ 18 F]fluorodeoxyglucose (FDG) brain tumour datasets and compared to standard maximum likelihood expectation-maximisation (MLEM) reconstructions. These 2D simulation studies explored the effects of penalty strengths, tumour behaviour, and inter-scan coupling on reconstructed images. Finally, a real two-scan longitudinal data series acquired from a head and neck cancer patient was reconstructed with the proposed methods and the results compared to standard reconstruction methods. Using any of the three priors with an appropriate penalty strength produced images with noise levels equivalent to those seen when using standard

Preconditioned alternating projection algorithms for maximum a posteriori ECT reconstruction

International Nuclear Information System (INIS)

Krol, Andrzej; Li, Si; Shen, Lixin; Xu, Yuesheng

2012-01-01

We propose a preconditioned alternating projection algorithm (PAPA) for solving the maximum a posteriori (MAP) emission computed tomography (ECT) reconstruction problem. Specifically, we formulate the reconstruction problem as a constrained convex optimization problem with the total variation (TV) regularization. We then characterize the solution of the constrained convex optimization problem and show that it satisfies a system of fixed-point equations defined in terms of two proximity operators raised from the convex functions that define the TV-norm and the constraint involved in the problem. The characterization (of the solution) via the proximity operators that define two projection operators naturally leads to an alternating projection algorithm for finding the solution. For efficient numerical computation, we introduce to the alternating projection algorithm a preconditioning matrix (the EM-preconditioner) for the dense system matrix involved in the optimization problem. We prove theoretically convergence of the PAPA. In numerical experiments, performance of our algorithms, with an appropriately selected preconditioning matrix, is compared with performance of the conventional MAP expectation-maximization (MAP-EM) algorithm with TV regularizer (EM-TV) and that of the recently developed nested EM-TV algorithm for ECT reconstruction. Based on the numerical experiments performed in this work, we observe that the alternating projection algorithm with the EM-preconditioner outperforms significantly the EM-TV in all aspects including the convergence speed, the noise in the reconstructed images and the image quality. It also outperforms the nested EM-TV in the convergence speed while providing comparable image quality. (paper)

Super-Resolution Image Reconstruction Applied to Medical Ultrasound

Science.gov (United States)

Ellis, Michael

Ultrasound is the preferred imaging modality for many diagnostic applications due to its real-time image reconstruction and low cost. Nonetheless, conventional ultrasound is not used in many applications because of limited spatial resolution and soft tissue contrast. Most commercial ultrasound systems reconstruct images using a simple delay-and-sum architecture on receive, which is fast and robust but does not utilize all information available in the raw data. Recently, more sophisticated image reconstruction methods have been developed that make use of far more information in the raw data to improve resolution and contrast. One such method is the Time-Domain Optimized Near-Field Estimator (TONE), which employs a maximum a priori estimation to solve a highly underdetermined problem, given a well-defined system model. TONE has been shown to significantly improve both the contrast and resolution of ultrasound images when compared to conventional methods. However, TONE's lack of robustness to variations from the system model and extremely high computational cost hinder it from being readily adopted in clinical scanners. This dissertation aims to reduce the impact of TONE's shortcomings, transforming it from an academic construct to a clinically viable image reconstruction algorithm. By altering the system model from a collection of individual hypothetical scatterers to a collection of weighted, diffuse regions, dTONE is able to achieve much greater robustness to modeling errors. A method for efficient parallelization of dTONE is presented that reduces reconstruction time by more than an order of magnitude with little loss in image fidelity. An alternative reconstruction algorithm, called qTONE, is also developed and is able to reduce reconstruction times by another two orders of magnitude while simultaneously improving image contrast. Each of these methods for improving TONE are presented, their limitations are explored, and all are used in concert to reconstruct in

Computed tomography imaging with the Adaptive Statistical Iterative Reconstruction (ASIR) algorithm: dependence of image quality on the blending level of reconstruction.

Science.gov (United States)

Barca, Patrizio; Giannelli, Marco; Fantacci, Maria Evelina; Caramella, Davide

2018-06-01

Computed tomography (CT) is a useful and widely employed imaging technique, which represents the largest source of population exposure to ionizing radiation in industrialized countries. Adaptive Statistical Iterative Reconstruction (ASIR) is an iterative reconstruction algorithm with the potential to allow reduction of radiation exposure while preserving diagnostic information. The aim of this phantom study was to assess the performance of ASIR, in terms of a number of image quality indices, when different reconstruction blending levels are employed. CT images of the Catphan-504 phantom were reconstructed using conventional filtered back-projection (FBP) and ASIR with reconstruction blending levels of 20, 40, 60, 80, and 100%. Noise, noise power spectrum (NPS), contrast-to-noise ratio (CNR) and modulation transfer function (MTF) were estimated for different scanning parameters and contrast objects. Noise decreased and CNR increased non-linearly up to 50 and 100%, respectively, with increasing blending level of reconstruction. Also, ASIR has proven to modify the NPS curve shape. The MTF of ASIR reconstructed images depended on tube load/contrast and decreased with increasing blending level of reconstruction. In particular, for low radiation exposure and low contrast acquisitions, ASIR showed lower performance than FBP, in terms of spatial resolution for all blending levels of reconstruction. CT image quality varies substantially with the blending level of reconstruction. ASIR has the potential to reduce noise whilst maintaining diagnostic information in low radiation exposure CT imaging. Given the opposite variation of CNR and spatial resolution with the blending level of reconstruction, it is recommended to use an optimal value of this parameter for each specific clinical application.

Lesões provocadas por armas de fogo atendidas em serviços de urgência e emergência brasileiros

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Adalgisa Peixoto Ribeiro

Full Text Available Resumo O artigo objetiva analisar os atendimentos de pessoas lesionadas por armas de fogo, em serviços de urgência e emergência brasileiros, em 2014. Realizou-se um estudo transversal dos atendimentos de pacientes com lesões por arma de fogo, em 24 capitais brasileiras e no Distrito Federal, incluídos no VIVA Inquérito. Foram calculadas frequências simples e relativas das variáveis relacionadas aos pacientes e ao evento e foi ajustado um modelo logístico para amostras complexas tendo como desfecho os atendimentos a pacientes com lesões por arma de fogo. Os resultados mostram que 0,7% dos atendimentos por outros acidentes (exceto os de transporte, 1,5% por lesões autoprovocadas, 15,9% por agressões e 65,1% por intervenção legal foram provocados por arma de fogo. Houve predomínio de atendimentos a pacientes do sexo masculino, de adultos jovens (20 a 39 anos, de cor da pele parda e com baixa escolaridade. Os membros e múltiplos órgãos foram os locais mais atingidos. Conclui-se discutindo sobre os esforços para o controle de armas de fogo em circulação no país e como elas podem potencializar desfechos graves e letais em brigas e conflitos interpessoais.

Simulated annealing image reconstruction for positron emission tomography

Energy Technology Data Exchange (ETDEWEB)

Sundermann, E; Lemahieu, I; Desmedt, P [Department of Electronics and Information Systems, University of Ghent, St. Pietersnieuwstraat 41, B-9000 Ghent, Belgium (Belgium)

1994-12-31

In Positron Emission Tomography (PET) images have to be reconstructed from moisy projection data. The noise on the PET data can be modeled by a Poison distribution. In this paper, we present the results of using the simulated annealing technique to reconstruct PET images. Various parameter settings of the simulated annealing algorithm are discussed and optimized. The reconstructed images are of good quality and high contrast, in comparison to other reconstruction techniques. (authors). 11 refs., 2 figs.

Sparse Image Reconstruction in Computed Tomography

DEFF Research Database (Denmark)

Jørgensen, Jakob Sauer

In recent years, increased focus on the potentially harmful effects of x-ray computed tomography (CT) scans, such as radiation-induced cancer, has motivated research on new low-dose imaging techniques. Sparse image reconstruction methods, as studied for instance in the field of compressed sensing...... applications. This thesis takes a systematic approach toward establishing quantitative understanding of conditions for sparse reconstruction to work well in CT. A general framework for analyzing sparse reconstruction methods in CT is introduced and two sets of computational tools are proposed: 1...... contributions to a general set of computational characterization tools. Thus, the thesis contributions help advance sparse reconstruction methods toward routine use in...

Accelerating an Ordered-Subset Low-Dose X-Ray Cone Beam Computed Tomography Image Reconstruction with a Power Factor and Total Variation Minimization.

Science.gov (United States)

Huang, Hsuan-Ming; Hsiao, Ing-Tsung

2016-01-01

In recent years, there has been increased interest in low-dose X-ray cone beam computed tomography (CBCT) in many fields, including dentistry, guided radiotherapy and small animal imaging. Despite reducing the radiation dose, low-dose CBCT has not gained widespread acceptance in routine clinical practice. In addition to performing more evaluation studies, developing a fast and high-quality reconstruction algorithm is required. In this work, we propose an iterative reconstruction method that accelerates ordered-subsets (OS) reconstruction using a power factor. Furthermore, we combine it with the total-variation (TV) minimization method. Both simulation and phantom studies were conducted to evaluate the performance of the proposed method. Results show that the proposed method can accelerate conventional OS methods, greatly increase the convergence speed in early iterations. Moreover, applying the TV minimization to the power acceleration scheme can further improve the image quality while preserving the fast convergence rate.

Parallel CT image reconstruction based on GPUs

International Nuclear Information System (INIS)

Flores, Liubov A.; Vidal, Vicent; Mayo, Patricia; Rodenas, Francisco; Verdú, Gumersindo

2014-01-01

In X-ray computed tomography (CT) iterative methods are more suitable for the reconstruction of images with high contrast and precision in noisy conditions from a small number of projections. However, in practice, these methods are not widely used due to the high computational cost of their implementation. Nowadays technology provides the possibility to reduce effectively this drawback. It is the goal of this work to develop a fast GPU-based algorithm to reconstruct high quality images from under sampled and noisy projection data. - Highlights: • We developed GPU-based iterative algorithm to reconstruct images. • Iterative algorithms are capable to reconstruct images from under sampled set of projections. • The computer cost of the implementation of the developed algorithm is low. • The efficiency of the algorithm increases for the large scale problems

Research of ART method in CT image reconstruction

International Nuclear Information System (INIS)

Li Zhipeng; Cong Peng; Wu Haifeng

2005-01-01

This paper studied Algebraic Reconstruction Technique (ART) in CT image reconstruction. Discussed the ray number influence on image quality. And the adopting of smooth method got high quality CT image. (authors)

Modelo de agente racional para auxiliar na gestão de serviços em redes de computadores

Directory of Open Access Journals (Sweden)

José Elias da Silva Justo

2012-12-01

Full Text Available A globalização aumentou consideravelmente o volume de dados a serem processados, surgindo a necessidade de interligar computadores em redes. Administrar redes de computadores não é uma tarefa trivial. Agentes inteligentes podem auxiliar na gestão de redes de computadores. O objetivo deste trabalho é desenvolver um protótipo baseado em um agente de software, que monitore, gerencie serviços prestados em redes de computadores e intervenha reativamente, reiniciando quaisquer dos serviços com problemas. O agente analisa sua base de conhecimento periodicamente para verificar serviços que foram reiniciados e as possíveis causas dessa ação. O agente mostrou-se eficaz, manteve os serviços em funcionamento e gerou relatórios.

3D reconstruction based on light field images

Science.gov (United States)

Zhu, Dong; Wu, Chunhong; Liu, Yunluo; Fu, Dongmei

2018-04-01

This paper proposed a method of reconstructing three-dimensional (3D) scene from two light field images capture by Lytro illium. The work was carried out by first extracting the sub-aperture images from light field images and using the scale-invariant feature transform (SIFT) for feature registration on the selected sub-aperture images. Structure from motion (SFM) algorithm is further used on the registration completed sub-aperture images to reconstruct the three-dimensional scene. 3D sparse point cloud was obtained in the end. The method shows that the 3D reconstruction can be implemented by only two light field camera captures, rather than at least a dozen times captures by traditional cameras. This can effectively solve the time-consuming, laborious issues for 3D reconstruction based on traditional digital cameras, to achieve a more rapid, convenient and accurate reconstruction.

Weighted expectation maximization reconstruction algorithms with application to gated megavoltage tomography

International Nuclear Information System (INIS)

Zhang Jin; Shi Daxin; Anastasio, Mark A; Sillanpaa, Jussi; Chang Jenghwa

2005-01-01

We propose and investigate weighted expectation maximization (EM) algorithms for image reconstruction in x-ray tomography. The development of the algorithms is motivated by the respiratory-gated megavoltage tomography problem, in which the acquired asymmetric cone-beam projections are limited in number and unevenly sampled over view angle. In these cases, images reconstructed by use of the conventional EM algorithm can contain ring- and streak-like artefacts that are attributable to a combination of data inconsistencies and truncation of the projection data. By use of computer-simulated and clinical gated fan-beam megavoltage projection data, we demonstrate that the proposed weighted EM algorithms effectively mitigate such image artefacts. (note)

Astrocitoma subependimário de células gigantes em pacientes com esclerose tuberosa: achados em ressonância magnética de dez casos Subependymal giant cell astrocytoma in patients with tuberous sclerosis: magnetic resonance imaging findings in ten cases

Directory of Open Access Journals (Sweden)

Karina Takata

2007-06-01

Full Text Available OBJETIVO: Relatar os achados de ressonância magnética (RM em 10 casos de astrocitoma subependimário de células gigantes (ASCG em pacientes com esclerose tuberosa (ET. MÉTODO: Foram estudados de forma retrospectiva 10 pacientes com ET e diagnóstico histológico comprovado de ASCG. Quatro pacientes eram do sexo masculino e seis do feminino, com idade média de 15,7 anos. Todos os pacientes foram investigados com RM, sendo os exames revisados por dois radiologistas, havendo decisão por consenso sobre os achados de imagem. Foram analisados os seguintes achados: localização, dimensões, intensidade de sinal em T1/T2, realce pós-contraste e outros achados associados. RESULTADOS: Todos os pacientes apresentaram lesão única sugestiva de ASCG, medindo entre 1,5 cm e 8 cm em seu maior diâmetro. Oito lesões foram encontradas junto ao forame de Monro (80% e duas adjacentes ao corpo do ventrículo lateral (20%. Os tumores apresentavam nas imagens pesadas em T1 médio sinal (70% e em T2 alto sinal (100%, com realce intenso após a administração do gadolínio (100%. CONCLUSÃO: Os astrocitomas subependimários de células gigantes em pacientes com ET em geral apresentam-se como lesão única próxima ao forame de Monro, com médio sinal nas imagens ponderadas em T1, alto sinal em T2 e realce intenso após a administração de contraste.OBJECTIVE: To report the magnetic resonance imaging (MRI findings in 10 patients with subependimal giant cell astrocytoma (SGCA and tuberous sclerosis (TS. METHOD: Ten patients were retrospectively studied, presenting TS and histologically proven SGCA. Four patients were male and six female, with mean age 15.7 years. All patients underwent MRI, which was analyzed by two radiologists, final diagnosis was reached by consensus. The following findings were studied: topography, size, signal intensity on T1/T2-weighted images, contrast enhancement and associated findings. RESULTS: All patients presented a single lesion

Application of iterative reconstruction in dynamic studies

International Nuclear Information System (INIS)

Meikle, S.R.

1998-01-01

Full text: The conventional approach to analysing dynamic tomographic data (SPECT or PET) is to reconstruct projections corresponding to each time interval separately and then fit a suitable tracer kinetic model to the dynamic sequence (method 1 ) . This approach assumes that the tracer distribution remains static during any given time interval and, for practical reasons, filtered back-projection (FBP) is the preferred reconstruction algorithm. However, alternative approaches exist which lend themselves to iterative algorithms, such as EM. One approach is to fit the model directly to the projection data, followed by EM reconstruction of the parameter estimates (method 2). This requires that the tracer model can be expressed as a linear function of the unknown model parameters. A third alternative is to incorporate the tracer model into the reconstruction algorithm (method 3). Such an extension was described during the early development of the EM algorithm, referred to as the EM parametric image reconstruction algorithm (EM-PIRA). We have investigated these various strategies for analysing dynamic data and their relative pros and cons. Tracer modelling was performed using a general model, referred to as spectral analysis, which makes no restriction on the number of physiological compartments and satisfies the linearity requirement of method 2. A kinetic software phantom was created and used to test the convergence and noise properties of the different approaches. In summary, method 2 is the most practical as it reduces the number of reconstructions by at least an order of magnitude and provides improved signal-to-noise ratios compared with method 1. EM-PIRA allows greater flexibility in the choice of parametric images and appears to have a regularising effect on convergence. Methods 2 and 3 are also better suited to dynamic scanning with a rotating camera, as they can potentially account for changes in tracer distribution between projections

Conhecimento do cliente diabético em relação os cuidados com os pés

OpenAIRE

Barbui, Elaine Cristina; Cocco, Maria Inês Monteiro

2002-01-01

Esta pesquisa tem por objetivo avaliar o conhecimento dos clientes que freqüentam um Ambulatório de Diabetes, em relação à sua doença e cuidados com os pés. Na amostra estudada - diabéticos tipo 2 - houve predominância da faixa etária acima de cinqüenta anos e 71,8% tinham diabetes há menos de dez anos. Concluiu-se que os clientes sabem que os cuidados adequados com os pés são necessários para evitar as complicações, porém o autocuidado não é realizado corretamente. Para que isso seja incorpo...

Gerenciando qualidade em serviços de saúde

Directory of Open Access Journals (Sweden)

Vera Lucia Peixoto S. Mendes

1993-12-01

Full Text Available Trabalho realizado em hospital geral de alta tecnologia, objetivando identificar na gestão, elementos facilitadores e bloqueadores da qualidade dos serviços oferecidos pela unidade de urgência/emergência e detectar como os profissionais de enfermagem percebem e experienciam os mecanismos de garantia de qualidade propostos pela organização. Define-se a qualidade como uma das consequências do estilo gerencial, dentro de um contexto de modernização administrativa. Trata-se de um estudo de caso onde foi empregado o Sistema 4T de Likert como método de pesquisa, além de entrevistas e observações focais. A análise dos dados revelou uma heterogeneidade de percepção quanto ao estilo gerencial e uma definição de qualidade compatível com aquela que reforça os principios defendidos pela organização.

A Kalman filter technique applied for medical image reconstruction

International Nuclear Information System (INIS)

Goliaei, S.; Ghorshi, S.; Manzuri, M. T.; Mortazavi, M.

2011-01-01

Medical images contain information about vital organic tissues inside of human body and are widely used for diagnoses of disease or for surgical purposes. Image reconstruction is essential for medical images for some applications such as suppression of noise or de-blurring the image in order to provide images with better quality and contrast. Due to vital rule of image reconstruction in medical sciences the corresponding algorithms with better efficiency and higher speed is desirable. Most algorithms in image reconstruction are operated on frequency domain such as the most popular one known as filtered back projection. In this paper we introduce a Kalman filter technique which is operated in time domain for medical image reconstruction. Results indicated that as the number of projection increases in both normal collected ray sum and the collected ray sum corrupted by noise the quality of reconstructed image becomes better in terms of contract and transparency. It is also seen that as the number of projection increases the error index decreases.

Tomographic Image Reconstruction Using Training Images with Matrix and Tensor Formulations

DEFF Research Database (Denmark)

Soltani, Sara

the image resolution compared to a classical reconstruction method such as Filtered Back Projection (FBP). Some priors for the tomographic reconstruction take the form of cross-section images of similar objects, providing a set of the so-called training images, that hold the key to the structural......Reducing X-ray exposure while maintaining the image quality is a major challenge in computed tomography (CT); since the imperfect data produced from the few view and/or low intensity projections results in low-quality images that are suffering from severe artifacts when using conventional...... information about the solution. The training images must be reliable and application-specific. This PhD project aims at providing a mathematical and computational framework for the use of training sets as non-parametric priors for the solution in tomographic image reconstruction. Through an unsupervised...

OS BOLIVIANOS EM CORUMBÁ-MS: CONFLITOS E RELAÇÕES DE PODER NA FRONTEIRA

Directory of Open Access Journals (Sweden)

Gustavo Villela Lima da Costa

2015-04-01

Full Text Available A partir de pesquisas etnográficas realizadas desde 2009 em Corumbá, na fronteira Brasil-Bolívia, procuro compreender alguns aspectos das relações de poder que se tornam mais visíveis por meio da análise dos conflitos sociais entre brasileiros e bolivianos. Para organizar os principais temas envolvidos nessa pesquisa, o artigo está dividido em três partes. Na primeira, abordo as interseções entre nacionalidade e etnicidade como critérios de classificação social na fronteira e as representações estigmatizantes sobre os bolivianos produzidas no lado brasileiro. Na segunda, discuto as estratégias de trabalho dos bolivianos em Corumbá em torno do comércio informal, relacionando etnicidade e nacionalidade com as oportunidades de trabalho e as formas de organização social. Por fim, nas considerações finais, busco compreender quais os efeitos sociais da deslegitimação progressiva dos bolivianos no lado brasileiro, manifestados nas políticas de controle e vigilância na fronteira, a partir da criminalização das práticas de trabalho informal

Speeding up image reconstruction in computed tomography

CERN Multimedia

CERN. Geneva

2018-01-01

Computed tomography (CT) is a technique for imaging cross-sections of an object using X-ray measurements taken from different angles. In last decades a significant progress has happened there: today advanced algorithms allow fast image reconstruction and obtaining high-quality images even with missing or dirty data, modern detectors provide high resolution without increasing radiation dose, and high-performance multi-core computing devices are there to help us solving such tasks even faster. I will start with CT basics, then briefly present existing classes of reconstruction algorithms and their differences. After that I will proceed to employing distinctive architectural features of modern multi-core devices (CPUs and GPUs) and popular program interfaces (OpenMP, MPI, CUDA, OpenCL) for developing effective parallel realizations of image reconstruction algorithms. Decreasing full reconstruction time from long hours up to minutes or even seconds has a revolutionary impact in diagnostic medicine and industria...

Reconhecer e traduzir traços de Sêneca em Shakespeare

Directory of Open Access Journals (Sweden)

Renata Cazarini de Freitas

2014-07-01

  O filósofo Sêneca (c.4 a.C.-65 d.C. é autor de oito tragédias latinas às quais se atribui, regra geral, elevado grau de “influência” na literatura dramática produzida na Inglaterra da virada do século XVI para o XVII. Sem recorrer ao usual método de localizar citações ou equivalências textuais, propõe-se aqui reconhecer os traços da elocução senequiana em Shakespeare a partir da identificação de dispositivos da retórica antiga e de suas correspondências em cenas específicas de Richard III, Hamlet e The Tempest. A tradução dessas peças a partir do latim ou do inglês deve refletir o domínio e a intenção dos autores no uso de tais expedientes retóricos.

Image reconstruction design of industrial CT instrument for teaching

International Nuclear Information System (INIS)

Zou Yongning; Cai Yufang

2009-01-01

Industrial CT instrument for teaching is applied to teaching and study in field of physics and radiology major, image reconstruction is an important part of software on CT instrument. The paper expatiate on CT physical theory and first generation CT reconstruction algorithm, describe scan process of industrial CT instrument for teaching; analyze image artifact as result of displacement of rotation center, implement method of center displacement correcting, design and complete image reconstruction software, application shows that reconstructed image is very clear and qualitatively high. (authors)

The 3D tomographic image reconstruction software for prompt-gamma measurement of the boron neutron capture therapy

International Nuclear Information System (INIS)

Morozov, Boris; Auterinen, Iiro; Kotiluoto, Petri; Kortesniemi, Mika

2006-01-01

A tomographic imaging system based on the spatial distribution measurement of the neutron capture reaction during Boron Neutron Capture Therapy (BNCT) would be very useful for clinical purpose. Using gamma-detectors in a 2D-panel, boron neutron capture and hydrogen neutron capture gamma-rays emitted by the neutron irradiated region can be detected, and an image of the neutron capture events can be reconstructed. A 3D reconstruction software package has been written to support the development of a 3D prompt-gamma tomographic system. The package consists of three independent modules: phantom generation, reconstruction and evaluation modules. The reconstruction modules are based on algebraic approach of the iterative reconstruction algorithm (ART), and on the maximum likelihood estimation method (ML-EM). In addition to that, two subsets of the ART, the simultaneous iterative reconstruction technique (SIRT) and the component averaging algorithms (CAV) have been included to the package employing parallel codes for multiprocessor architecture. All implemented algorithms use two different field functions for the reconstruction of the region. One is traditional voxel function, another is, so called, blob function, smooth spherically symmetric generalized Kaiser-Bessel function. The generation module provides the phantom and projections with background by tracing the prompt gamma-rays for a given scanner geometry. The evaluation module makes statistical comparisons between the generated and reconstructed images, and provides figure-of-merit (FOM) values for the applied reconstruction algorithms. The package has been written in C language and tested under Linux and Windows platforms. The simple graphical user interface (GUI) is used for command execution and visualization purposed. (author)

3D Reconstruction of NMR Images

Directory of Open Access Journals (Sweden)

Peter Izak

2007-01-01

Full Text Available This paper introduces experiment of 3D reconstruction NMR images scanned from magnetic resonance device. There are described methods which can be used for 3D reconstruction magnetic resonance images in biomedical application. The main idea is based on marching cubes algorithm. For this task was chosen sophistication method by program Vision Assistant, which is a part of program LabVIEW.

Stokes image reconstruction for two-color microgrid polarization imaging systems.

Science.gov (United States)

Lemaster, Daniel A

2011-07-18

The Air Force Research Laboratory has developed a new microgrid polarization imaging system capable of simultaneously reconstructing linear Stokes parameter images in two colors on a single focal plane array. In this paper, an effective method for extracting Stokes images is presented for this type of camera system. It is also shown that correlations between the color bands can be exploited to significantly increase overall spatial resolution. Test data is used to show the advantages of this approach over bilinear interpolation. The bounds (in terms of available reconstruction bandwidth) on image resolution are also provided.

Sparse BLIP: BLind Iterative Parallel imaging reconstruction using compressed sensing.

Science.gov (United States)

She, Huajun; Chen, Rong-Rong; Liang, Dong; DiBella, Edward V R; Ying, Leslie

2014-02-01

To develop a sensitivity-based parallel imaging reconstruction method to reconstruct iteratively both the coil sensitivities and MR image simultaneously based on their prior information. Parallel magnetic resonance imaging reconstruction problem can be formulated as a multichannel sampling problem where solutions are sought analytically. However, the channel functions given by the coil sensitivities in parallel imaging are not known exactly and the estimation error usually leads to artifacts. In this study, we propose a new reconstruction algorithm, termed Sparse BLind Iterative Parallel, for blind iterative parallel imaging reconstruction using compressed sensing. The proposed algorithm reconstructs both the sensitivity functions and the image simultaneously from undersampled data. It enforces the sparseness constraint in the image as done in compressed sensing, but is different from compressed sensing in that the sensing matrix is unknown and additional constraint is enforced on the sensitivities as well. Both phantom and in vivo imaging experiments were carried out with retrospective undersampling to evaluate the performance of the proposed method. Experiments show improvement in Sparse BLind Iterative Parallel reconstruction when compared with Sparse SENSE, JSENSE, IRGN-TV, and L1-SPIRiT reconstructions with the same number of measurements. The proposed Sparse BLind Iterative Parallel algorithm reduces the reconstruction errors when compared to the state-of-the-art parallel imaging methods. Copyright © 2013 Wiley Periodicals, Inc.

Comportamentos de risco para os transtornos alimentares e traços perfeccionistas em atletas de atletismo

Directory of Open Access Journals (Sweden)

Leonardo de Sousa Fortes

Full Text Available Resumo O objetivo do estudo foi analisar a influência do perfeccionismo nos comportamentos de risco para os transtornos alimentares de atletas adolescentes do sexo feminino da modalidade atletismo. Fizeram parte do estudo 52 atletas da modalidade de atletismo de clubes da cidade de São Paulo/SP com idade entre 12 e 17 anos. Utilizaram-se as subescalas do Eating Attitudes Test (EAT-26 e a Multidimensional Perfectionism Scale (MPS para avaliar os comportamentos de risco para os transtornos alimentares e os traços perfeccionistas, respectivamente. Conduziu-se a regressão linear múltipla stepwise para analisar a influência dos perfeccionismo nos comportamentos de risco para os transtornos alimentares. Os resultados indicaram influência da MPS nos escores das subescalas Dieta (F(1, 44 = 5,74; p = 0,05 e Autocontrole Oral (F(1, 44 = 6,13; p = 0,04 do EAT-26. No entanto, não foi evidenciado impacto da MPS nos escores da subescala Bulimia e Preocupação com 0 Alimenta (F(1, 44 = 1,26; p = 0,22. Assim, em razão da investigação apresentar delineamento transversal, pressupõe-se que as atletas de atletismo com traços perfeccionistas podem estar mais susceptíveis para a restrição alimentar e a influência ambiental para a ingesta alimentar.

Talcose entre artesãos em pedra-sabão em uma localidade rural do Município de Ouro Preto, Minas Gerais, Brasil

Directory of Open Access Journals (Sweden)

Olívia Maria de Paula Alves Bezerra

Full Text Available A talcose é uma pneumoconiose ainda pouco estudada em nosso meio. Sua ocorrência foi investigada no Distrito de Mata dos Palmitos, Ouro Preto, Minas Gerais, Brasil, entre artesãos em pedra-sabão, que trabalham em produção de base familiar, de caráter informal. Na localidade, vivem cerca de 180 habitantes, dos quais 108 se ocupam com o artesanato em pedra-sabão e 15 alternam a produção de peças artesanais com as atividades nas minas. Foram realizados exames clínicos, enfatizando a história ocupacional; questionário padronizado de sintomas respiratórios; radiografia de tórax (padrão OIT e espirometria. Observou-se baixa prevalência de queixas respiratórias, e a dispnéia foi o sintoma mais freqüente. A ocorrência de bronquite crônica foi identificada em 12 trabalhadores adultos. O exame radiológico de tórax evidenciou pequenas opacidades pulmonares em cinco trabalhadores, e 11 foram considerados suspeitos. Um trabalhador apresentou espessamento pleural em placa. Alterações na espirometria foram observadas em sete trabalhadores. O estudo da composição da poeira revelou a presença de fibras respiráveis de asbesto do grupo dos anfibólios (tremolita-actinolita. Esses resultados sugerem a ocorrência de talcoasbestose entre os artesãos em pedra-sabão.

Non-Cartesian parallel imaging reconstruction.

Science.gov (United States)

Wright, Katherine L; Hamilton, Jesse I; Griswold, Mark A; Gulani, Vikas; Seiberlich, Nicole

2014-11-01

Non-Cartesian parallel imaging has played an important role in reducing data acquisition time in MRI. The use of non-Cartesian trajectories can enable more efficient coverage of k-space, which can be leveraged to reduce scan times. These trajectories can be undersampled to achieve even faster scan times, but the resulting images may contain aliasing artifacts. Just as Cartesian parallel imaging can be used to reconstruct images from undersampled Cartesian data, non-Cartesian parallel imaging methods can mitigate aliasing artifacts by using additional spatial encoding information in the form of the nonhomogeneous sensitivities of multi-coil phased arrays. This review will begin with an overview of non-Cartesian k-space trajectories and their sampling properties, followed by an in-depth discussion of several selected non-Cartesian parallel imaging algorithms. Three representative non-Cartesian parallel imaging methods will be described, including Conjugate Gradient SENSE (CG SENSE), non-Cartesian generalized autocalibrating partially parallel acquisition (GRAPPA), and Iterative Self-Consistent Parallel Imaging Reconstruction (SPIRiT). After a discussion of these three techniques, several potential promising clinical applications of non-Cartesian parallel imaging will be covered. © 2014 Wiley Periodicals, Inc.

Reconstruction of Undersampled Atomic Force Microscopy Images

DEFF Research Database (Denmark)

Jensen, Tobias Lindstrøm; Arildsen, Thomas; Østergaard, Jan

2013-01-01

Atomic force microscopy (AFM) is one of the most advanced tools for high-resolution imaging and manipulation of nanoscale matter. Unfortunately, standard AFM imaging requires a timescale on the order of seconds to minutes to acquire an image which makes it complicated to observe dynamic processes....... Moreover, it is often required to take several images before a relevant observation region is identified. In this paper we show how to significantly reduce the image acquisition time by undersampling. The reconstruction of an undersampled AFM image can be viewed as an inpainting, interpolating problem...... should be reconstructed using interpolation....

Isotope specific resolution recovery image reconstruction in high resolution PET imaging

Energy Technology Data Exchange (ETDEWEB)

Kotasidis, Fotis A. [Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211 Geneva, Switzerland and Wolfson Molecular Imaging Centre, MAHSC, University of Manchester, M20 3LJ, Manchester (United Kingdom); Angelis, Georgios I. [Faculty of Health Sciences, Brain and Mind Research Institute, University of Sydney, NSW 2006, Sydney (Australia); Anton-Rodriguez, Jose; Matthews, Julian C. [Wolfson Molecular Imaging Centre, MAHSC, University of Manchester, Manchester M20 3LJ (United Kingdom); Reader, Andrew J. [Montreal Neurological Institute, McGill University, Montreal QC H3A 2B4, Canada and Department of Biomedical Engineering, Division of Imaging Sciences and Biomedical Engineering, King' s College London, St. Thomas’ Hospital, London SE1 7EH (United Kingdom); Zaidi, Habib [Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211 Geneva (Switzerland); Geneva Neuroscience Centre, Geneva University, CH-1205 Geneva (Switzerland); Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, PO Box 30 001, Groningen 9700 RB (Netherlands)

2014-05-15

Purpose: Measuring and incorporating a scanner-specific point spread function (PSF) within image reconstruction has been shown to improve spatial resolution in PET. However, due to the short half-life of clinically used isotopes, other long-lived isotopes not used in clinical practice are used to perform the PSF measurements. As such, non-optimal PSF models that do not correspond to those needed for the data to be reconstructed are used within resolution modeling (RM) image reconstruction, usually underestimating the true PSF owing to the difference in positron range. In high resolution brain and preclinical imaging, this effect is of particular importance since the PSFs become more positron range limited and isotope-specific PSFs can help maximize the performance benefit from using resolution recovery image reconstruction algorithms. Methods: In this work, the authors used a printing technique to simultaneously measure multiple point sources on the High Resolution Research Tomograph (HRRT), and the authors demonstrated the feasibility of deriving isotope-dependent system matrices from fluorine-18 and carbon-11 point sources. Furthermore, the authors evaluated the impact of incorporating them within RM image reconstruction, using carbon-11 phantom and clinical datasets on the HRRT. Results: The results obtained using these two isotopes illustrate that even small differences in positron range can result in different PSF maps, leading to further improvements in contrast recovery when used in image reconstruction. The difference is more pronounced in the centre of the field-of-view where the full width at half maximum (FWHM) from the positron range has a larger contribution to the overall FWHM compared to the edge where the parallax error dominates the overall FWHM. Conclusions: Based on the proposed methodology, measured isotope-specific and spatially variant PSFs can be reliably derived and used for improved spatial resolution and variance performance in resolution

Isotope specific resolution recovery image reconstruction in high resolution PET imaging

International Nuclear Information System (INIS)

Kotasidis, Fotis A.; Angelis, Georgios I.; Anton-Rodriguez, Jose; Matthews, Julian C.; Reader, Andrew J.; Zaidi, Habib

2014-01-01

Purpose: Measuring and incorporating a scanner-specific point spread function (PSF) within image reconstruction has been shown to improve spatial resolution in PET. However, due to the short half-life of clinically used isotopes, other long-lived isotopes not used in clinical practice are used to perform the PSF measurements. As such, non-optimal PSF models that do not correspond to those needed for the data to be reconstructed are used within resolution modeling (RM) image reconstruction, usually underestimating the true PSF owing to the difference in positron range. In high resolution brain and preclinical imaging, this effect is of particular importance since the PSFs become more positron range limited and isotope-specific PSFs can help maximize the performance benefit from using resolution recovery image reconstruction algorithms. Methods: In this work, the authors used a printing technique to simultaneously measure multiple point sources on the High Resolution Research Tomograph (HRRT), and the authors demonstrated the feasibility of deriving isotope-dependent system matrices from fluorine-18 and carbon-11 point sources. Furthermore, the authors evaluated the impact of incorporating them within RM image reconstruction, using carbon-11 phantom and clinical datasets on the HRRT. Results: The results obtained using these two isotopes illustrate that even small differences in positron range can result in different PSF maps, leading to further improvements in contrast recovery when used in image reconstruction. The difference is more pronounced in the centre of the field-of-view where the full width at half maximum (FWHM) from the positron range has a larger contribution to the overall FWHM compared to the edge where the parallax error dominates the overall FWHM. Conclusions: Based on the proposed methodology, measured isotope-specific and spatially variant PSFs can be reliably derived and used for improved spatial resolution and variance performance in resolution

Isotope specific resolution recovery image reconstruction in high resolution PET imaging.

Science.gov (United States)

Kotasidis, Fotis A; Angelis, Georgios I; Anton-Rodriguez, Jose; Matthews, Julian C; Reader, Andrew J; Zaidi, Habib

2014-05-01

Measuring and incorporating a scanner-specific point spread function (PSF) within image reconstruction has been shown to improve spatial resolution in PET. However, due to the short half-life of clinically used isotopes, other long-lived isotopes not used in clinical practice are used to perform the PSF measurements. As such, non-optimal PSF models that do not correspond to those needed for the data to be reconstructed are used within resolution modeling (RM) image reconstruction, usually underestimating the true PSF owing to the difference in positron range. In high resolution brain and preclinical imaging, this effect is of particular importance since the PSFs become more positron range limited and isotope-specific PSFs can help maximize the performance benefit from using resolution recovery image reconstruction algorithms. In this work, the authors used a printing technique to simultaneously measure multiple point sources on the High Resolution Research Tomograph (HRRT), and the authors demonstrated the feasibility of deriving isotope-dependent system matrices from fluorine-18 and carbon-11 point sources. Furthermore, the authors evaluated the impact of incorporating them within RM image reconstruction, using carbon-11 phantom and clinical datasets on the HRRT. The results obtained using these two isotopes illustrate that even small differences in positron range can result in different PSF maps, leading to further improvements in contrast recovery when used in image reconstruction. The difference is more pronounced in the centre of the field-of-view where the full width at half maximum (FWHM) from the positron range has a larger contribution to the overall FWHM compared to the edge where the parallax error dominates the overall FWHM. Based on the proposed methodology, measured isotope-specific and spatially variant PSFs can be reliably derived and used for improved spatial resolution and variance performance in resolution recovery image reconstruction. The

Simbol-X Formation Flight and Image Reconstruction

Science.gov (United States)

Civitani, M.; Djalal, S.; Le Duigou, J. M.; La Marle, O.; Chipaux, R.

2009-05-01

Simbol-X is the first operational mission relying on two satellites flying in formation. The dynamics of the telescope, due to the formation flight concept, raises a variety of problematic, like image reconstruction, that can be better evaluated via a simulation tools. We present here the first results obtained with Simulos, simulation tool aimed to study the relative spacecrafts navigation and the weight of the different parameters in image reconstruction and telescope performance evaluation. The simulation relies on attitude and formation flight sensors models, formation flight dynamics and control, mirror model and focal plane model, while the image reconstruction is based on the Line of Sight (LOS) concept.

Prospective regularization design in prior-image-based reconstruction

International Nuclear Information System (INIS)

Dang, Hao; Siewerdsen, Jeffrey H; Stayman, J Webster

2015-01-01

Prior-image-based reconstruction (PIBR) methods leveraging patient-specific anatomical information from previous imaging studies and/or sequences have demonstrated dramatic improvements in dose utilization and image quality for low-fidelity data. However, a proper balance of information from the prior images and information from the measurements is required (e.g. through careful tuning of regularization parameters). Inappropriate selection of reconstruction parameters can lead to detrimental effects including false structures and failure to improve image quality. Traditional methods based on heuristics are subject to error and sub-optimal solutions, while exhaustive searches require a large number of computationally intensive image reconstructions. In this work, we propose a novel method that prospectively estimates the optimal amount of prior image information for accurate admission of specific anatomical changes in PIBR without performing full image reconstructions. This method leverages an analytical approximation to the implicitly defined PIBR estimator, and introduces a predictive performance metric leveraging this analytical form and knowledge of a particular presumed anatomical change whose accurate reconstruction is sought. Additionally, since model-based PIBR approaches tend to be space-variant, a spatially varying prior image strength map is proposed to optimally admit changes everywhere in the image (eliminating the need to know change locations a priori). Studies were conducted in both an ellipse phantom and a realistic thorax phantom emulating a lung nodule surveillance scenario. The proposed method demonstrated accurate estimation of the optimal prior image strength while achieving a substantial computational speedup (about a factor of 20) compared to traditional exhaustive search. Moreover, the use of the proposed prior strength map in PIBR demonstrated accurate reconstruction of anatomical changes without foreknowledge of change locations in

Isotope specific resolution recovery image reconstruction in high resolution PET imaging

OpenAIRE

Kotasidis Fotis A.; Kotasidis Fotis A.; Angelis Georgios I.; Anton-Rodriguez Jose; Matthews Julian C.; Reader Andrew J.; Reader Andrew J.; Zaidi Habib; Zaidi Habib; Zaidi Habib

2014-01-01

Purpose: Measuring and incorporating a scanner specific point spread function (PSF) within image reconstruction has been shown to improve spatial resolution in PET. However due to the short half life of clinically used isotopes other long lived isotopes not used in clinical practice are used to perform the PSF measurements. As such non optimal PSF models that do not correspond to those needed for the data to be reconstructed are used within resolution modeling (RM) image reconstruction usuall...

Image quality of iterative reconstruction in cranial CT imaging: comparison of model-based iterative reconstruction (MBIR) and adaptive statistical iterative reconstruction (ASiR).

Science.gov (United States)

Notohamiprodjo, S; Deak, Z; Meurer, F; Maertz, F; Mueck, F G; Geyer, L L; Wirth, S

2015-01-01

The purpose of this study was to compare cranial CT (CCT) image quality (IQ) of the MBIR algorithm with standard iterative reconstruction (ASiR). In this institutional review board (IRB)-approved study, raw data sets of 100 unenhanced CCT examinations (120 kV, 50-260 mAs, 20 mm collimation, 0.984 pitch) were reconstructed with both ASiR and MBIR. Signal-to-noise (SNR) and contrast-to-noise (CNR) were calculated from attenuation values measured in caudate nucleus, frontal white matter, anterior ventricle horn, fourth ventricle, and pons. Two radiologists, who were blinded to the reconstruction algorithms, evaluated anonymized multiplanar reformations of 2.5 mm with respect to depiction of different parenchymal structures and impact of artefacts on IQ with a five-point scale (0: unacceptable, 1: less than average, 2: average, 3: above average, 4: excellent). MBIR decreased artefacts more effectively than ASiR (p ASiR was 2 (p ASiR (p ASiR. As CCT is an examination that is frequently required, the use of MBIR may allow for substantial reduction of radiation exposure caused by medical diagnostics. • Model-Based iterative reconstruction (MBIR) effectively decreased artefacts in cranial CT. • MBIR reconstructed images were rated with significantly higher scores for image quality. • Model-Based iterative reconstruction may allow reduced-dose diagnostic examination protocols.

The influence of image reconstruction algorithms on linear thorax EIT image analysis of ventilation

International Nuclear Information System (INIS)

Zhao, Zhanqi; Möller, Knut; Frerichs, Inéz; Pulletz, Sven; Müller-Lisse, Ullrich

2014-01-01

Analysis methods of electrical impedance tomography (EIT) images based on different reconstruction algorithms were examined. EIT measurements were performed on eight mechanically ventilated patients with acute respiratory distress syndrome. A maneuver with step increase of airway pressure was performed. EIT raw data were reconstructed offline with (1) filtered back-projection (BP); (2) the Dräger algorithm based on linearized Newton–Raphson (DR); (3) the GREIT (Graz consensus reconstruction algorithm for EIT) reconstruction algorithm with a circular forward model (GR C ) and (4) GREIT with individual thorax geometry (GR T ). Individual thorax contours were automatically determined from the routine computed tomography images. Five indices were calculated on the resulting EIT images respectively: (a) the ratio between tidal and deep inflation impedance changes; (b) tidal impedance changes in the right and left lungs; (c) center of gravity; (d) the global inhomogeneity index and (e) ventilation delay at mid-dorsal regions. No significant differences were found in all examined indices among the four reconstruction algorithms (p > 0.2, Kruskal–Wallis test). The examined algorithms used for EIT image reconstruction do not influence the selected indices derived from the EIT image analysis. Indices that validated for images with one reconstruction algorithm are also valid for other reconstruction algorithms. (paper)

The influence of image reconstruction algorithms on linear thorax EIT image analysis of ventilation.

Science.gov (United States)

Zhao, Zhanqi; Frerichs, Inéz; Pulletz, Sven; Müller-Lisse, Ullrich; Möller, Knut

2014-06-01

Analysis methods of electrical impedance tomography (EIT) images based on different reconstruction algorithms were examined. EIT measurements were performed on eight mechanically ventilated patients with acute respiratory distress syndrome. A maneuver with step increase of airway pressure was performed. EIT raw data were reconstructed offline with (1) filtered back-projection (BP); (2) the Dräger algorithm based on linearized Newton-Raphson (DR); (3) the GREIT (Graz consensus reconstruction algorithm for EIT) reconstruction algorithm with a circular forward model (GR(C)) and (4) GREIT with individual thorax geometry (GR(T)). Individual thorax contours were automatically determined from the routine computed tomography images. Five indices were calculated on the resulting EIT images respectively: (a) the ratio between tidal and deep inflation impedance changes; (b) tidal impedance changes in the right and left lungs; (c) center of gravity; (d) the global inhomogeneity index and (e) ventilation delay at mid-dorsal regions. No significant differences were found in all examined indices among the four reconstruction algorithms (p > 0.2, Kruskal-Wallis test). The examined algorithms used for EIT image reconstruction do not influence the selected indices derived from the EIT image analysis. Indices that validated for images with one reconstruction algorithm are also valid for other reconstruction algorithms.

Image reconstruction methods in positron tomography

International Nuclear Information System (INIS)

Townsend, D.W.; Defrise, M.

1993-01-01

In the two decades since the introduction of the X-ray scanner into radiology, medical imaging techniques have become widely established as essential tools in the diagnosis of disease. As a consequence of recent technological and mathematical advances, the non-invasive, three-dimensional imaging of internal organs such as the brain and the heart is now possible, not only for anatomical investigations using X-ray but also for studies which explore the functional status of the body using positron-emitting radioisotopes. This report reviews the historical and physical basis of medical imaging techniques using positron-emitting radioisotopes. Mathematical methods which enable three-dimensional distributions of radioisotopes to be reconstructed from projection data (sinograms) acquired by detectors suitably positioned around the patient are discussed. The extension of conventional two-dimensional tomographic reconstruction algorithms to fully three-dimensional reconstruction is described in detail. (orig.)

Resíduos de deltametrina em grãos de trigo e em seus produtos processados, determinados por cromatografia gasosa

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Trevizan Luiz Roberto Pimentel

2000-01-01

Full Text Available O objetivo do presente estudo foi avaliar a degradação/persistência do inseticida piretróide deltametrina em grãos de trigo e em seus produtos processados, a saber: farelo, farinha branca, farinha integral e pão. Os grãos foram tratados de modo a alcançar a concentração teórica de 0,35 mg kg-1 do piretróide. As amostras foram tomadas a zero, 15, 30, 60 e 90 dias após a aplicação. Houve tendência de concentração do piretróide no farelo de trigo e um menor acúmulo nas farinhas, sendo que após o processo de cozimento do pão observou-se perda do inseticida.

Educação nutricional em serviços públicos de saúde

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Maria Cristina Faber Boog

Full Text Available Este estudo objetivou discutir a implementação de atividades de educação nutricional em serviços públicos de saúde, valendo-se da visão de médicos e enfermeiros que atuam nesses serviços. A pesquisa foi desenvolvida em Campinas, Estado de São Paulo, Brasil, entre outubro de 1993 e julho de 1995, utilizando-se o método da pesquisa-ação. Os resultados descrevem a construção do saber sobre nutrição através das instituições formadoras e profissionais; a conduta adotada em face dos problemas relativos à alimentação no cotidiano profissional em contraposição ao enfrentamento dos mesmos no cotidiano pessoal; a contradição existente entre a aparente banalidade do ato da alimentação em contraposição à complexidade dos problemas alimentares; a trajetória entre a aceitação do trabalho e incorporação das ações de educação nutricional e a efetiva institucionalização dos mesmos; a visão dos profissionais diante de situações que permeiam a implementação das ações nesse campo. As conclusões referem-se à necessidade de implementação de atividades de educação nutricional nos serviços de saúde, às dificuldades dos profissionais para abordar problemas relativos à nutrição e à necessidade de discutir o ensino de nutrição nos cursos da área da saúde.

Os processos de hormonização e a produção do cuidado em saúde na transexualidade masculina

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Fátima Lima

Full Text Available Resumo O texto tem como proposta refletir sobre os usos do hormônio testosterona entre os homens transexuais, tendo como ponto central a relação com o cuidado em saúde. O objetivo é entender, a partir do uso de fármacos a base de testosterona, como eles transversalizam, interagem e reiteram os processos de construção do que se designa transexual masculino, suas diferentes experiências e narrativas e a relação com o cuidado em saúde, seja no âmbito do serviço de referência no atendimento aos transexuais, seja nas experiências em outros serviços privados, e/ou nas vivências cotidianas experimentadas pelos homens transexuais em diferentes espaços sociais. As discussões são baseadas em seis relatos de homens transexuais na cidade do Rio de Janeiro.

Few-view image reconstruction with dual dictionaries

International Nuclear Information System (INIS)

Lu Yang; Zhao Jun; Wang Ge

2012-01-01

In this paper, we formulate the problem of computed tomography (CT) under sparsity and few-view constraints, and propose a novel algorithm for image reconstruction from few-view data utilizing the simultaneous algebraic reconstruction technique (SART) coupled with dictionary learning, sparse representation and total variation (TV) minimization on two interconnected levels. The main feature of our algorithm is the use of two dictionaries: a transitional dictionary for atom matching and a global dictionary for image updating. The atoms in the global and transitional dictionaries represent the image patches from high-quality and low-quality CT images, respectively. Experiments with simulated and real projections were performed to evaluate and validate the proposed algorithm. The results reconstructed using the proposed approach are significantly better than those using either SART or SART–TV. (paper)

OS ARDIS DO AMOR EM BUSCA DE SUA EFICÁCIA

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Hugo Assmann

1983-01-01

Full Text Available Este breve escrito quer ser, antes de mais nada, um gesto agradecido, um emocionado abraço a um grande irmão. Devo pessoalmente demais a essa pessoa "gente" que é Juan Luis para fingir distâncias acadêmicas frente a seus escritos. O ano que convivemos em Montevidéu marcou-me de lições que continuo a aprender. Iniciei lá o batismo latino-americano, continuado depois numa série de outros países. Acho que, este sim, imprimiu em mim um caráter indelével e deu-me um "estado de graça" no qual os sofrimentos e as alegrias se fundem numa esperança capaz de saber/saborear auroras em meio a noites sem estrelas.

Os fugitivos e os mastins: em torno dos homens brutos de Cairu

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Pedro Meira Monteiro

2006-04-01

Full Text Available PARTINDO da obra de José da Silva Lisboa, o visconde de Cairu, o artigo trata do lugar imaginário em que se situa o Outro da civilização. Pretende-se, por intermédio dele, inquirir e explorar a distância que separa o civilizado do bárbaro. No espaço intermédio entre a barbárie e a civilização, afinal, a literatura social desenha o território fronteiriço em que o discurso civilizado reaviva os fantasmas da regressão, trabalhando poeticamente o horror do retorno à selva. Trata-se de uma longa tradição literária que, no Brasil, tem em Euclides da Cunha o seu mestre.BASED ON the work of José da Silva Lisboa, the Viscount of Cairu, this article discusses the imaginary place of the Other in civilization. The objective of the article is to inquire into and explore the distance that separates civilized people from barbarians. In the intermediate space between civilization and barbarity, social literature plots out the frontier where civilized discourse revives fantasies of regression and poetically evokes the horror of a return to the jungle. This is a long literary tradition which, in Brazil, has Euclides da Cunha as its master.

Reconstruction CT imaging of the hypopharynx and the larynx

International Nuclear Information System (INIS)

Okuno, Tetsuji; Fujimura, Akiko; Murakami, Yasushi; Shiga, Hayao

1986-01-01

The multiplanar reconstruction CT imaging of the hypopharynx and the larynx was performed on a total of 20 cases: 8 with laryngeal carcinomas, 6 with hypopharyngeal carcinomas, 4 with vocal cord paralyses due to various causes, 1 with laryngeal amyloidosis, 1 with inflammatory granuloma of the hypopharynx. Coronal, segittal, and parasagittal reconstruction images were obtained from either 1 or 2 mm overlapping axial scans with 4 or 5 mm slice thickness (3 cases) using 5 sec scan times during queit breathing. In 15 cases with coronal reconstruction imaging, the anatomical derangements of the laryngopharyngeal structures especially along the undersurface of the true vocal cord to the false cord level, the lateral wall of the pyriform sinus, and the paraglottic space were demonstrated more clearly than the axial CT imaging. In 5 cases with sagittal reconstruction imaging, the vertical extension of the lesions through the anterior commisure was more clearly depicted than the axial CT imaging. In 8 cases with parasagittal reconstruction imaging, which is along the vocal fold or across the aryepiglottic fold, pathological changes along the aryepiglottic fold, the arytenoid-corniculate cartilage complex, and the tip of the pyriform sinus were more clearly demonstrated than the axial CT imaging. In determining the feasibility of conservation surgery of the larynx and the hypopharynx, reconstruction CT imaging is recommended as the diagnostic procedure of a choice, which would supplement the findings of the routine axial CT imaging. (author)

Os pais comem frutas verdes e os dentes dos filhos ficam embotados? Considerações sobre o pecado em Romance de família, de Edna Mazya

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Nancy Rozenchan

2009-03-01

Full Text Available Entre outros livros de destaque dos anos recentes, a obra de Edna Mazya em boa parte também não aborda diretamente os principais eventos da II Guerra Mundial na Europa. Não obstante, esse é um pano de fundo fundamental de uma parcela considerável de Romance de família, mesmo quando os eventos que compõem a trama se desenvolvem na Palestina contemporânea à Guerra, ou em períodos posteriores, em Israel, ou de volta à Europa.

Os abcessos pulmonares em revisão

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Ana Moura Gonçalves

2008-01-01

Full Text Available Resumo: Os abcessos pulmonares são cavidades que surgem no parênquima pulmonar, apresentando maior ou menor quantidade de tecido necrosado no seu interior. Surgem em indivíduos predispostos, como sejam os doentes com doença pulmonar crónica ou obstrução secundária a neoplasia e os doentes com maior risco de aspiração, estando incluidos os doentes com alteração do estado neurológico, os utilizadores de drogas endovenosas, os doentes com alcoolismo, patologia da faringe e esofágica, doença neuromuscular, entre outras. É feita a revisão dos principais agentes causais, da metodologia diagnóstica, da abordagem terapêutica na actualidade e do prognóstico destas situações.Os abcessos pulmonares, para além de relativamente pouco frequentes, são difíceis de caracterizar, sendo a resistência aos antibióticos um problema a ter presente, na sua abordagem terapêutica. Abstract: Lung abscesses are cavitating lesions containing necrotic debris caused by microbial infection. Patients with chronic lung disease, bronchial obstruction secondary to cancer, a history of aspiration or risk of aspiration caused by alcoholism, altered mental status, structural or physiologic alterations of the pharynx and esophagus, neuromuscular disorders, anesthesia, are among others at higher risk of developing lung abcess.The main bacteriological characteristics, the diagnosis, therapy and prognosis are considered. The problem of antimicrobial resistance is also referred. Palavras-chave: Abcesso pulmonar, pneumonia de aspiração, resistência antimicrobiana, anaeróbios, Key-words: Lung abscesses, aspiration pneumonia, antimicrobial resistance, anaerobes

Development of an image reconstruction algorithm for a few number of projection data

International Nuclear Information System (INIS)

Vieira, Wilson S.; Brandao, Luiz E.; Braz, Delson

2007-01-01

An image reconstruction algorithm was developed for specific cases of radiotracer applications in industry (rotating cylindrical mixers), involving a very few number of projection data. The algorithm was planned for imaging radioactive isotope distributions around the center of circular planes. The method consists of adapting the original expectation maximization algorithm (EM) to solve the ill-posed emission tomography inverse problem in order to reconstruct transversal 2D images of an object with only four projections. To achieve this aim, counts of photons emitted by selected radioactive sources in the plane, after they had been simulated using the commercial software MICROSHIELD 5.05, constitutes the projections and a computational code (SPECTEM) was developed to generate activity vectors or images related to those sources. SPECTEM is flexible to support simultaneous changes of the detectors's geometry, the medium under investigation and the properties of the gamma radiation. As a consequence of the code had been followed correctly the proposed method, good results were obtained and they encouraged us to continue the next step of the research: the validation of SPECTEM utilizing experimental data to check its real performance. We aim this code will improve considerably radiotracer methodology, making easier the diagnosis of fails in industrial processes. (author)

Development of an image reconstruction algorithm for a few number of projection data

Energy Technology Data Exchange (ETDEWEB)

Vieira, Wilson S.; Brandao, Luiz E. [Instituto de Engenharia Nuclear (IEN-CNEN/RJ), Rio de Janeiro , RJ (Brazil)]. E-mails: wilson@ien.gov.br; brandao@ien.gov.br; Braz, Delson [Universidade Federal do Rio de Janeiro (UFRJ), RJ (Brazil). Coordenacao dos Programa de Pos-graduacao de Engenharia (COPPE). Lab. de Instrumentacao Nuclear]. E-mail: delson@mailhost.lin.ufrj.br

2007-07-01

An image reconstruction algorithm was developed for specific cases of radiotracer applications in industry (rotating cylindrical mixers), involving a very few number of projection data. The algorithm was planned for imaging radioactive isotope distributions around the center of circular planes. The method consists of adapting the original expectation maximization algorithm (EM) to solve the ill-posed emission tomography inverse problem in order to reconstruct transversal 2D images of an object with only four projections. To achieve this aim, counts of photons emitted by selected radioactive sources in the plane, after they had been simulated using the commercial software MICROSHIELD 5.05, constitutes the projections and a computational code (SPECTEM) was developed to generate activity vectors or images related to those sources. SPECTEM is flexible to support simultaneous changes of the detectors's geometry, the medium under investigation and the properties of the gamma radiation. As a consequence of the code had been followed correctly the proposed method, good results were obtained and they encouraged us to continue the next step of the research: the validation of SPECTEM utilizing experimental data to check its real performance. We aim this code will improve considerably radiotracer methodology, making easier the diagnosis of fails in industrial processes. (author)

Matrix-based image reconstruction methods for tomography

International Nuclear Information System (INIS)

Llacer, J.; Meng, J.D.

1984-10-01

Matrix methods of image reconstruction have not been used, in general, because of the large size of practical matrices, ill condition upon inversion and the success of Fourier-based techniques. An exception is the work that has been done at the Lawrence Berkeley Laboratory for imaging with accelerated radioactive ions. An extension of that work into more general imaging problems shows that, with a correct formulation of the problem, positron tomography with ring geometries results in well behaved matrices which can be used for image reconstruction with no distortion of the point response in the field of view and flexibility in the design of the instrument. Maximum Likelihood Estimator methods of reconstruction, which use the system matrices tailored to specific instruments and do not need matrix inversion, are shown to result in good preliminary images. A parallel processing computer structure based on multiple inexpensive microprocessors is proposed as a system to implement the matrix-MLE methods. 14 references, 7 figures

Controle de qualidade de monitores de diagnóstico por imagem e iluminância nos espaços de pós-processamento em serviços de imagiologia

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Márcia Pinto

2012-02-01

Full Text Available OBJETIVO: Avaliar a qualidade dos monitores de diagnóstico e tratamento de imagem digital em radiologia convencional (raios X com base nos níveis de luminância. Fez-se a medição da iluminância dos postos de trabalho onde estavam os monitores. MATERIAIS E MÉTODOS: A medição da luminância foi realizada usando-se um detector Unfors Xi Light em cinco instituições, com 23 monitores primários e 22 secundários, sendo 6 usados em urgência, seguindo o método descrito no relatório TG18 da American Association of Physicists in Medicine (AAPM. O instrumento de medida utilizado foi o Delta Ohm HD 9221 luximeter. RESULTADOS: Para as recomendações da AAPM, tanto monitores primários como secundários cumpriram, no geral, os níveis de tolerância. No caso dos níveis de iluminância, nos locais de trabalho dos monitores primários encontravam-se ligeiramente acima do intervalo recomendado. Quanto às recomendações do The Royal College of Radiologists (RCR, os monitores que respeitaram os níveis recomendados estavam em minoria, embora as diferenças não fossem significativas. CONCLUSÃO: Em geral, os resultados foram satisfatórios, embora os monitores não fossem adequados para atingir as recomendações exigentes do RCR. Os níveis de referência entre os monitores primários e secundários deveriam aproximar-se, de modo a garantir a qualidade de imagem. Os monitores para visualização e diagnóstico de imagens médicas devem ser regularmente avaliados para manter um sistema com a qualidade exigida, dada a função que desempenham.

A Vigilância Sanitária no controle de riscos potenciais em serviços de hemoterapia no Brasil

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João Batista Silva Júnior

Full Text Available RESUMO O artigo descreve a situação sanitária dos serviços de hemoterapia avaliados pela Vigilância Sanitária em 2011 e 2012 por meio do Método de Avaliação de Risco Potencial de Serviços de Hemoterapia (MARPSH, classificando-os em cinco categorias: Baixo, Médio-Baixo, Médio, Médio-Alto e Alto. Dos 560 avaliados, houve acréscimo de 9% nos classificados como de baixo risco e queda de 6% entre os de alto. Os principais problemas foram encontrados na região Norte, em agências transfusionais e serviços públicos. Destacaram-se não conformidades relacionadas à gestão da qualidade, de pessoal e de equipamentos. Apesar das melhorias observadas, notaram-se serviços críticos com comprometimento à segurança e à eficácia dos produtos e serviços.

Real-time SPARSE-SENSE cardiac cine MR imaging: optimization of image reconstruction and sequence validation.

Science.gov (United States)

Goebel, Juliane; Nensa, Felix; Bomas, Bettina; Schemuth, Haemi P; Maderwald, Stefan; Gratz, Marcel; Quick, Harald H; Schlosser, Thomas; Nassenstein, Kai

2016-12-01

Improved real-time cardiac magnetic resonance (CMR) sequences have currently been introduced, but so far only limited practical experience exists. This study aimed at image reconstruction optimization and clinical validation of a new highly accelerated real-time cine SPARSE-SENSE sequence. Left ventricular (LV) short-axis stacks of a real-time free-breathing SPARSE-SENSE sequence with high spatiotemporal resolution and of a standard segmented cine SSFP sequence were acquired at 1.5 T in 11 volunteers and 15 patients. To determine the optimal iterations, all volunteers' SPARSE-SENSE images were reconstructed using 10-200 iterations, and contrast ratios, image entropies, and reconstruction times were assessed. Subsequently, the patients' SPARSE-SENSE images were reconstructed with the clinically optimal iterations. LV volumetric values were evaluated and compared between both sequences. Sufficient image quality and acceptable reconstruction times were achieved when using 80 iterations. Bland-Altman plots and Passing-Bablok regression showed good agreement for all volumetric parameters. 80 iterations are recommended for iterative SPARSE-SENSE image reconstruction in clinical routine. Real-time cine SPARSE-SENSE yielded comparable volumetric results as the current standard SSFP sequence. Due to its intrinsic low image acquisition times, real-time cine SPARSE-SENSE imaging with iterative image reconstruction seems to be an attractive alternative for LV function analysis. • A highly accelerated real-time CMR sequence using SPARSE-SENSE was evaluated. • SPARSE-SENSE allows free breathing in real-time cardiac cine imaging. • For clinically optimal SPARSE-SENSE image reconstruction, 80 iterations are recommended. • Real-time SPARSE-SENSE imaging yielded comparable volumetric results as the reference SSFP sequence. • The fast SPARSE-SENSE sequence is an attractive alternative to standard SSFP sequences.

Gestão da qualidade em serviços de health & fitness

OpenAIRE

Rodrigues, Pedro Miguel Monteiro; Miguel-Dávila, José Ángel

2009-01-01

O objectivo deste capítulo é oferecer uma visão contemporânea e abrangente do significado de gestão da qualidade em serviços com especial incidência na gestão da qualidade na área designada habitualmente por indústria do health&fitness. Depois da leitura do presente capítulo, os seguintes conceitos deverão ser apreendidos: - A qualidade do serviço percebida pelos clientes na indústria do health&fitness; - As dimensões que os gestores da indústria do health&fitness devem conhecer para ...

GESTÃO DA INOVAÇÃO EM SERVIÇOS E RELACIONAMENTO ESTRATÉGICO NO TRANSPORTE PÚBLICO

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Jaciane Cristina Costa

2007-05-01

Full Text Available O interesse pelo setor de serviços tem crescido e assumido um papel importante nas economias emergentes. O presente artigo apresenta um estudo de múltiplos casos que buscou analisar a gestão da inovação em serviços, sobre a ótica da implantação da bilhetagem eletrônica entre as empresas associadas de transportes públicos. Observou-se que a tecnologia utilizada no sistema de bilhetagem eletrônica é considerada a maior inovação tecnológica para as firmas associadas nos últimos anos e que abre possibilidades de revolucionar os sistemas de controle e gestão do transporte coletivo. Por fim, no que se refere à inovação em serviços, cabe salientar que as melhorias relacionadas às empresas e aos seus métodos na integração das atividades parece ser uma forma promissora de satisfazer as exigências de um mercado consumidor cada vez mais exigente e seletivo; bem como de se obter ganhos relevantes em um setor em pleno decréscimo.

ReTrOS: a MATLAB toolbox for reconstructing transcriptional activity from gene and protein expression data.

Science.gov (United States)

Minas, Giorgos; Momiji, Hiroshi; Jenkins, Dafyd J; Costa, Maria J; Rand, David A; Finkenstädt, Bärbel

2017-06-26

Given the development of high-throughput experimental techniques, an increasing number of whole genome transcription profiling time series data sets, with good temporal resolution, are becoming available to researchers. The ReTrOS toolbox (Reconstructing Transcription Open Software) provides MATLAB-based implementations of two related methods, namely ReTrOS-Smooth and ReTrOS-Switch, for reconstructing the temporal transcriptional activity profile of a gene from given mRNA expression time series or protein reporter time series. The methods are based on fitting a differential equation model incorporating the processes of transcription, translation and degradation. The toolbox provides a framework for model fitting along with statistical analyses of the model with a graphical interface and model visualisation. We highlight several applications of the toolbox, including the reconstruction of the temporal cascade of transcriptional activity inferred from mRNA expression data and protein reporter data in the core circadian clock in Arabidopsis thaliana, and how such reconstructed transcription profiles can be used to study the effects of different cell lines and conditions. The ReTrOS toolbox allows users to analyse gene and/or protein expression time series where, with appropriate formulation of prior information about a minimum of kinetic parameters, in particular rates of degradation, users are able to infer timings of changes in transcriptional activity. Data from any organism and obtained from a range of technologies can be used as input due to the flexible and generic nature of the model and implementation. The output from this software provides a useful analysis of time series data and can be incorporated into further modelling approaches or in hypothesis generation.

Accelerated time-of-flight (TOF) PET image reconstruction using TOF bin subsetization and TOF weighting matrix pre-computation

International Nuclear Information System (INIS)

Mehranian, Abolfazl; Kotasidis, Fotis; Zaidi, Habib

2016-01-01

Time-of-flight (TOF) positron emission tomography (PET) technology has recently regained popularity in clinical PET studies for improving image quality and lesion detectability. Using TOF information, the spatial location of annihilation events is confined to a number of image voxels along each line of response, thereby the cross-dependencies of image voxels are reduced, which in turns results in improved signal-to-noise ratio and convergence rate. In this work, we propose a novel approach to further improve the convergence of the expectation maximization (EM)-based TOF PET image reconstruction algorithm through subsetization of emission data over TOF bins as well as azimuthal bins. Given the prevalence of TOF PET, we elaborated the practical and efficient implementation of TOF PET image reconstruction through the pre-computation of TOF weighting coefficients while exploiting the same in-plane and axial symmetries used in pre-computation of geometric system matrix. In the proposed subsetization approach, TOF PET data were partitioned into a number of interleaved TOF subsets, with the aim of reducing the spatial coupling of TOF bins and therefore to improve the convergence of the standard maximum likelihood expectation maximization (MLEM) and ordered subsets EM (OSEM) algorithms. The comparison of on-the-fly and pre-computed TOF projections showed that the pre-computation of the TOF weighting coefficients can considerably reduce the computation time of TOF PET image reconstruction. The convergence rate and bias-variance performance of the proposed TOF subsetization scheme were evaluated using simulated, experimental phantom and clinical studies. Simulations demonstrated that as the number of TOF subsets is increased, the convergence rate of MLEM and OSEM algorithms is improved. It was also found that for the same computation time, the proposed subsetization gives rise to further convergence. The bias-variance analysis of the experimental NEMA phantom and a clinical

A Convex Formulation for Magnetic Particle Imaging X-Space Reconstruction.

Science.gov (United States)

Konkle, Justin J; Goodwill, Patrick W; Hensley, Daniel W; Orendorff, Ryan D; Lustig, Michael; Conolly, Steven M

2015-01-01

Magnetic Particle Imaging (mpi) is an emerging imaging modality with exceptional promise for clinical applications in rapid angiography, cell therapy tracking, cancer imaging, and inflammation imaging. Recent publications have demonstrated quantitative mpi across rat sized fields of view with x-space reconstruction methods. Critical to any medical imaging technology is the reliability and accuracy of image reconstruction. Because the average value of the mpi signal is lost during direct-feedthrough signal filtering, mpi reconstruction algorithms must recover this zero-frequency value. Prior x-space mpi recovery techniques were limited to 1d approaches which could introduce artifacts when reconstructing a 3d image. In this paper, we formulate x-space reconstruction as a 3d convex optimization problem and apply robust a priori knowledge of image smoothness and non-negativity to reduce non-physical banding and haze artifacts. We conclude with a discussion of the powerful extensibility of the presented formulation for future applications.

Em Busca de Uma Experiência Extraordinária em Serviços de Restaurante

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Maria de Lourdes de Azevedo Barbosa

2012-11-01

Full Text Available O artigo tem como objetivo propor um esquema teórico para melhor compreender como a oferta de serviços oferecidos pelos restaurantes podem passar de experiências ordinárias (utilitárias a experiências extraordinárias (hedônicas. Busca-se entender o processo de criação de uma experiência e conhecer o que leva a experiência a ser considerada como extraordinária pelo consumidor, enquanto processo de formação dinâmico. Essa abordagem pode contribuir para a obtenção de conhecimentos que deverão colaborar para enriquecer a pesquisa sobre comportamento de consumo no âmbito do setor de alimentação, na medida em que procura relativizar o aporte do modelo pessoa-objeto-situação, integrando as vantagens das relações durante a experiência de compra, em função do tipo de consumidor e do lugar da venda. O esquema teórico apresentado fornece uma visão holística do processo da experiência em serviços de restaurante e demonstra que, para que este possa ser considerado como extraordinário, é preciso existir uma interação entre o que é ofertado e a vivência do consumidor durante o processo de aquisição de um serviço.

A study of reconstruction artifacts in cone beam tomography using filtered backprojection and iterative EM algorithms

International Nuclear Information System (INIS)

Zeng, G.L.; Gullberg, G.T.

1990-01-01

Reconstruction artifacts in cone beam tomography are studied for filtered backprojection (Feldkamp) and iterative EM algorithms. The filtered backprojection algorithm uses a voxel-driven, interpolated backprojection to reconstruct the cone beam data; whereas, the iterative EM algorithm performs ray-driven projection and backprojection operations for each iteration. Two weight in schemes for the projection and backprojection operations in the EM algorithm are studied. One weights each voxel by the length of the ray through the voxel and the other equates the value of a voxel to the functional value of the midpoint of the line intersecting the voxel, which is obtained by interpolating between eight neighboring voxels. Cone beam reconstruction artifacts such as rings, bright vertical extremities, and slice-to slice cross talk are not found with parallel beam and fan beam geometries

Monte-Carlo simulations and image reconstruction for novel imaging scenarios in emission tomography

International Nuclear Information System (INIS)

Gillam, John E.; Rafecas, Magdalena

2016-01-01

Emission imaging incorporates both the development of dedicated devices for data acquisition as well as algorithms for recovering images from that data. Emission tomography is an indirect approach to imaging. The effect of device modification on the final image can be understood through both the way in which data are gathered, using simulation, and the way in which the image is formed from that data, or image reconstruction. When developing novel devices, systems and imaging tasks, accurate simulation and image reconstruction allow performance to be estimated, and in some cases optimized, using computational methods before or during the process of physical construction. However, there are a vast range of approaches, algorithms and pre-existing computational tools that can be exploited and the choices made will affect the accuracy of the in silico results and quality of the reconstructed images. On the one hand, should important physical effects be neglected in either the simulation or reconstruction steps, specific enhancements provided by novel devices may not be represented in the results. On the other hand, over-modeling of device characteristics in either step leads to large computational overheads that can confound timely results. Here, a range of simulation methodologies and toolkits are discussed, as well as reconstruction algorithms that may be employed in emission imaging. The relative advantages and disadvantages of a range of options are highlighted using specific examples from current research scenarios.

Monte-Carlo simulations and image reconstruction for novel imaging scenarios in emission tomography

Energy Technology Data Exchange (ETDEWEB)

Gillam, John E. [The University of Sydney, Faculty of Health Sciences and The Brain and Mind Centre, Camperdown (Australia); Rafecas, Magdalena, E-mail: rafecas@imt.uni-luebeck.de [University of Lubeck, Institute of Medical Engineering, Ratzeburger Allee 160, 23538 Lübeck (Germany)

2016-02-11

Emission imaging incorporates both the development of dedicated devices for data acquisition as well as algorithms for recovering images from that data. Emission tomography is an indirect approach to imaging. The effect of device modification on the final image can be understood through both the way in which data are gathered, using simulation, and the way in which the image is formed from that data, or image reconstruction. When developing novel devices, systems and imaging tasks, accurate simulation and image reconstruction allow performance to be estimated, and in some cases optimized, using computational methods before or during the process of physical construction. However, there are a vast range of approaches, algorithms and pre-existing computational tools that can be exploited and the choices made will affect the accuracy of the in silico results and quality of the reconstructed images. On the one hand, should important physical effects be neglected in either the simulation or reconstruction steps, specific enhancements provided by novel devices may not be represented in the results. On the other hand, over-modeling of device characteristics in either step leads to large computational overheads that can confound timely results. Here, a range of simulation methodologies and toolkits are discussed, as well as reconstruction algorithms that may be employed in emission imaging. The relative advantages and disadvantages of a range of options are highlighted using specific examples from current research scenarios.

INTRODUÇAO AOS MODELOS ODE PARTICIPAÇÃO DE MERCADO EM SERVIÇOS DE TRANSPORTES

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Antonio Galvão Novaes

2010-04-01

Full Text Available

Análises de participação de mercado ("market share" são comuns em estudos na área de "marketing", envolvendo produtos e respectivas marcas, de um lado, o perfil da demanda de outro, e o posicionamento das empresas produtoras que competem nesse mercado, num terceiro bloco. No setor de transportes a literatura registra aplicações em ligações aéreas e em serviços intermunicipais de ônibus. Os modelos de participação de mercado se aplicam normalmente a situações em que os operadores oferecem serviços de transportes similares num determinado mercado, com a competição sendo feita não com base em atributos modais intrínsecos, mas sim apoiada em características diferenciadoras intra-modais mais tênues, tais como conforto, atendimento, promoções tarifárias, "marketing" e propaganda, etc. Neste artigo é feita uma introdução aos modelos de "market share" em transportes, com a apresentação de um exemplo de aplicação ao transporte intermunicipal de passageiros em ônibus, sendo discutidos também aspectos ligados a calibração e tais modelos.

ABSTRACT

Market share analysis is common in marketing studies involving products and respective brands, on one hand, the demand profile on the other hand, and the competiting industries on a third set. In the transport sector the literature registers a number of applications to air transport problems and to intercity bus services. Market share models are normally applied to situations in which operators offer, in a specific market, transport services that are similar in nature, with competition based not on intrinsic modal attributes, but rather on more tenous intra-mode differentiating characteristics, such as comfort, attendance, tariff promotions, marketing and advertising efforts, etc (sub-modal configurations. It is presented in this paper an introduction to market share modelling in transport, with an example concerning an intercity bus service in

An efficient algorithm for MR image reconstruction and compression

International Nuclear Information System (INIS)

Wang, Hang; Rosenfeld, D.; Braun, M.; Yan, Hong

1992-01-01

In magnetic resonance imaging (MRI), the original data are sampled in the spatial frequency domain. The sampled data thus constitute a set of discrete Fourier transform (DFT) coefficients. The image is usually reconstructed by taking inverse DFT. The image data may then be efficiently compressed using the discrete cosine transform (DCT). A method of using DCT to treat the sampled data is presented which combines two procedures, image reconstruction and data compression. This method may be particularly useful in medical picture archiving and communication systems where both image reconstruction and compression are important issues. 11 refs., 3 figs

Modelos de serviços hospitalares para casos agudos em idosos

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Coelho Filho João Macedo

2000-01-01

Full Text Available Embora a atenção ao idoso seja uma prioridade emergente no Brasil, pouca ênfase tem sido dada a modelos de organização de serviços hospitalares para pacientes geriátricos. São revisados modelos de serviços hospitalares para admissão e manuseio de casos agudos em idosos, com ênfase na discussão sobre o papel e o posicionamento da medicina geriátrica (incluindo sua interface com especialidades e com a clínica médica no âmbito da atenção hospitalar. Foi realizada pesquisa na base de dados Medline (1989-1999, bem como nos principais livros-texto de geriatria e de gerontologia, buscando identificar descrições de serviços hospitalares para cuidado agudo de pacientes idosos. As características dos modelos identificados foram compiladas e descritas à luz de sua adequação à realidade dos serviços de saúde no Brasil. Exemplos de intervenções em geriatria, com efetividade demonstrada através de revisões sistemáticas, foram também citadas. Os modelos mais freqüentemente relatados foram cuidado prolongado, tradicional, baseado na idade cronológica, não especializado e integrado. Adaptações e variantes de alguns desses modelos foram freqüentemente relatadas, assim como seu impacto potencial na efetividade do cuidado geriátrico. Evidências sobre o melhor modelo a seguir não foram identificadas, mas aqueles modelos favorecendo a integração da geriatria com a clínica geral pareceram mais adequados à nossa realidade. Ressalta a necessidade de reestruturação de serviços de saúde para responder às novas demandas que surgem com o envelhecimento da população, bem como do delineamento de serviços hospitalares para casos agudos, importantes para a efetividade do cuidado geriátrico e que devem ser objeto de maior debate e pesquisa no Brasil.

Os Congressos Brasileiros de Ciências Sociais e Humanas em Saúde da Abrasco: um campo científico em disputa

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Aurea Maria Zöllner Ianni

2015-02-01

Full Text Available Atualmente, no Brasil, configura-se um pensamento social em saúde, como campo científico, político e atuante: Estudar os Congressos de Ciências Sociais em Saúde da Abrasco representa realizar uma genealogia parcial da área, apreendendo como se deu a constituição desse subcampo e seu desenvolvimento, além de mapear o atual ‘estado da arte’ dessa área de conhecimento. Este artigo analisa as falas de informantes-chave sobre as realizações dos Congressos. São 13 entrevistas com presidentes da Abrasco e coordenadores das Comissões de Ciências Sociais, em diferentes gestões – anos de realização dos Congressos Brasileiros de Ciências Sociais e Humanas em Saúde, entre 1995 e 2011. Os depoimentos permitiram identificar três momentos marcantes da realização dos Congressos: o primeiro, em 1995, quando da realização do I Congresso, que significou a maturação do conhecimento das ciências sociais em saúde, a demarcação do campo; o III Congresso, de 2005, referido como o de consolidação da área de conhecimento, de consolidação desse campo científico; e o V Congresso, de 2011, que pôs em pauta o lugar científico das ciências sociais e humanas em saúde no contexto da Saúde Coletiva, no Brasil.

Algorithms for Reconstruction of Undersampled Atomic Force Microscopy Images Supplementary Material

DEFF Research Database (Denmark)

2017-01-01

Two Jupyter Notebooks showcasing reconstructions of undersampled atomic force microscopy images. The reconstructions were obtained using a variety of interpolation and reconstruction methods.......Two Jupyter Notebooks showcasing reconstructions of undersampled atomic force microscopy images. The reconstructions were obtained using a variety of interpolation and reconstruction methods....

DIVERSIDADE E INTERNACIONALIZAÇÃO DA EDUCAÇÃO: OS ESTUDANTES BRASILEIROS EM PORTUGAL

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Aline Bazzarella Merçon

2012-06-01

Full Text Available Este artigo resulta de um trabalho de mestrado em Ciências da Educação e pretendemos apresentar, brevemente, os conceitos e opiniões de diferentes autores sobre a integração, internacionalização da educação e ideais de interculturalidade estabelecidos, entre Portugal e Brasil no ensino superior. Examinamos alguns Acordos e Leis celebrados entre os países com a finalidade de compreendermos o papel social dos mesmos. Buscamos esclarecer como os programas de internacionalização e cooperação para mobilidade estudantil facilitam e estimulam a integração na vida estudantil e o desenvolvimento pessoal e social dos alunos brasileiros, em Portugal, bem como as questões da interculturalidade no sistema educativo universitário português, com base na realidade da Universidade de Aveiro.

Fast dictionary-based reconstruction for diffusion spectrum imaging.

Science.gov (United States)

Bilgic, Berkin; Chatnuntawech, Itthi; Setsompop, Kawin; Cauley, Stephen F; Yendiki, Anastasia; Wald, Lawrence L; Adalsteinsson, Elfar

2013-11-01

Diffusion spectrum imaging reveals detailed local diffusion properties at the expense of substantially long imaging times. It is possible to accelerate acquisition by undersampling in q-space, followed by image reconstruction that exploits prior knowledge on the diffusion probability density functions (pdfs). Previously proposed methods impose this prior in the form of sparsity under wavelet and total variation transforms, or under adaptive dictionaries that are trained on example datasets to maximize the sparsity of the representation. These compressed sensing (CS) methods require full-brain processing times on the order of hours using MATLAB running on a workstation. This work presents two dictionary-based reconstruction techniques that use analytical solutions, and are two orders of magnitude faster than the previously proposed dictionary-based CS approach. The first method generates a dictionary from the training data using principal component analysis (PCA), and performs the reconstruction in the PCA space. The second proposed method applies reconstruction using pseudoinverse with Tikhonov regularization with respect to a dictionary. This dictionary can either be obtained using the K-SVD algorithm, or it can simply be the training dataset of pdfs without any training. All of the proposed methods achieve reconstruction times on the order of seconds per imaging slice, and have reconstruction quality comparable to that of dictionary-based CS algorithm.

GERENCIAMENTO DE RESÍDUOS DE PELÍCULAS DE CHUMBO DE SERVIÇOS ODONTOLÓGICOS EM SALVADOR, BAHIA.

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Leonardo Lordelo Sampaio

2014-09-01

Full Text Available O gerenciamento de resíduos sólidos em serviços de saúde representa um procedimento relacionado à responsabilidade sanitária e ambiental. Em Odontologia, muitos materiais, após o seu uso, por vezes, podem ser descartados e destinados no meio ambiente. Dentre eles, destaca-se o chumbo, presente, principalmente, nas películas radiográficas. O objetivo deste artigo foi apresentar os resultados da pesquisa realizada, sobre a caracterização e avaliação do gerenciamento dos resíduos de chumbo gerados pelos serviços odontológicos em Salvador, Bahia, Como procedimentos metodológicos, foram utilizados: questionário no qual se observou uma fragilidade quanto ao gerenciamento desses resíduos perigosos, relatos de dentistas e visita técnica à principal unidade de tratamento desses resíduos coletados, citados pelos dentistas. Os principais achados dizem respeito ao fluxo de destinação desses resíduos e às diferenças de caracterização entre o ciclo praticado no gerenciamento do descarte das películas de chumbo, nos serviços odontológicos, e o que é preconizado na literatura e legislação quanto à gestão de resíduos perigosos. Os resultados sugerem, em termos gerais, que uma parte do descarte desse tipo de resíduo tem uma destinação inadequada no meio ambiente. Outra parte está sendo destinada na utilização do chumbo para confecção de bijuterias e chumbada de anzóis, e em manejo duvidoso por catadores de materiais recicláveis e recolhimento por empresa especializada para o processo de incineração.

Quantitative 3D Imaging by Cryo-EM (Shapes, membranes, and mapping of subcellular structures in whole bacteria)

OpenAIRE

Comolli, Luis R.; Downing, Kenneth H.; Fero, Michael J.; McAdams, Harley

2006-01-01

The shape of the bacteria cell wall during division and the deformation at the division plane are a function of the material properties of the cell wall, the growth rate, and the force due to the FtsZ ring. We have obtained 23 cryo-EM tomographic reconstructions through a time course following the cell division process in Caulobacter crescentus. We have also acquired over 300 images of the process by high resolution cryo-EM. The cell membranes have been segmented by an in-house developed util...

Gadgetron: An Open Source Framework for Medical Image Reconstruction

DEFF Research Database (Denmark)

Hansen, Michael Schacht; Sørensen, Thomas Sangild

2013-01-01

This work presents a new open source framework for medical image reconstruction called the “Gadgetron.” The framework implements a flexible system for creating streaming data processing pipelines where data pass through a series of modules or “Gadgets” from raw data to reconstructed images...... with a set of dedicated toolboxes in shared libraries for medical image reconstruction. This includes generic toolboxes for data-parallel (e.g., GPU-based) execution of compute-intensive components. The basic framework architecture is independent of medical imaging modality, but this article focuses on its...

Como os brasileiros escolhem os governadores? Desvendando as razões do voto para os executivos estaduais no Brasil em 2014

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Oswaldo E. do Amaral

Full Text Available Resumo Apesar da importância das disputas para os governos estaduais na política brasileira, pouco se sabe a respeito dos fatores que levam às escolhas dos eleitores para esses pleitos. Existem fatores comuns que ajudam a explicar a escolha dos eleitores em todo o país para os governos estaduais? Qual é o peso da avaliação do governo federal e da percepção sobre o desempenho da economia do país nas eleições nas unidades da federação? Candidatos à reeleição ou apoiados pelo governador são beneficiados pela avaliação positiva do governo federal? A preferência partidária importa na hora de escolher os candidatos a governador? Essas são as perguntas que buscamos responder, ainda que de maneira preliminar, neste artigo. Para isso, realizamos análises multivariadas a partir dos dados de nível individual produzidos pelo Estudo Eleitoral Brasileiro (Eseb de 2014. Os resultados indicam que a preferência partidária, assim como nas eleições presidenciais, é importante elemento de escolha nos pleitos para os governos estaduais, e que a disputa entre PT e PSDB no plano nacional acaba por influenciar também o âmbito estadual.

Improvement of Quality of Reconstructed Images in Multi-Frame Fresnel Digital Holography

International Nuclear Information System (INIS)

Xiao-Wei, Lu; Jing-Zhen, Li; Hong-Yi, Chen

2010-01-01

A modified reconstruction algorithm to improve the quality of reconstructed images of multi-frame Fresnel digital holography is presented. When the reference beams are plane or spherical waves with azimuth encoding, by introducing two spherical wave factors, images can be reconstructed with only one time Fourier transform. In numerical simulation, this algorithm could simplify the reconstruction process and improve the signal-to-noise ratio of the reconstructed images. In single-frame reconstruction experiments, the accurate reconstructed image is obtained with this simplified algorithm

Blind compressed sensing image reconstruction based on alternating direction method

Science.gov (United States)

Liu, Qinan; Guo, Shuxu

2018-04-01

In order to solve the problem of how to reconstruct the original image under the condition of unknown sparse basis, this paper proposes an image reconstruction method based on blind compressed sensing model. In this model, the image signal is regarded as the product of a sparse coefficient matrix and a dictionary matrix. Based on the existing blind compressed sensing theory, the optimal solution is solved by the alternative minimization method. The proposed method solves the problem that the sparse basis in compressed sensing is difficult to represent, which restrains the noise and improves the quality of reconstructed image. This method ensures that the blind compressed sensing theory has a unique solution and can recover the reconstructed original image signal from a complex environment with a stronger self-adaptability. The experimental results show that the image reconstruction algorithm based on blind compressed sensing proposed in this paper can recover high quality image signals under the condition of under-sampling.

Low dose reconstruction algorithm for differential phase contrast imaging.

Science.gov (United States)

Wang, Zhentian; Huang, Zhifeng; Zhang, Li; Chen, Zhiqiang; Kang, Kejun; Yin, Hongxia; Wang, Zhenchang; Marco, Stampanoni

2011-01-01

Differential phase contrast imaging computed tomography (DPCI-CT) is a novel x-ray inspection method to reconstruct the distribution of refraction index rather than the attenuation coefficient in weakly absorbing samples. In this paper, we propose an iterative reconstruction algorithm for DPCI-CT which benefits from the new compressed sensing theory. We first realize a differential algebraic reconstruction technique (DART) by discretizing the projection process of the differential phase contrast imaging into a linear partial derivative matrix. In this way the compressed sensing reconstruction problem of DPCI reconstruction can be transformed to a resolved problem in the transmission imaging CT. Our algorithm has the potential to reconstruct the refraction index distribution of the sample from highly undersampled projection data. Thus it can significantly reduce the dose and inspection time. The proposed algorithm has been validated by numerical simulations and actual experiments.

OS “OBJETOS DE ESTUDO” DA PESQUISA EM ENSINO DE FÍSICA SEGUNDO PESQUISADORES BRASILEIROS

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Olga L. Castiblanco Abril

Full Text Available Nesta pesquisa, optamos por investigar junto a pesquisadores em ensino de física brasileiros sobre os "objetos de estudo" deste campo, numa tentativa de identificar algumas características que permitam organizar núcleos de conteúdos a serem ensinados numa disciplina de Didática da Física. Também perguntamos sobre os métodos de pesquisa e os principais referenciais teóricos, além de realizar uma sucinta caracterização dos perfis profissionais desses pesquisadores, a fim de ampliar opções de compreensão das respostas à questão. Para tanto, aplicamos um questionário elaborado e validado, especificamente para cada pesquisador. Através da análise dos dados obtidos pudemos concluir que os "objetos de estudo" da pesquisa em ensino de física no Brasil são diversos, mas possíveis de ser entendidos em campos temáticos inter-relacionados. Além disso, constatamos o caráter multidisciplinar da pesquisa na área, o que nos permite deduzir que o ensino da Didática da Física deve ter esse mesmo caráter.

Prevalência da fragilidade entre os pacientes com doença renal crônica em tratamento conservador e em diálise

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Henrique Novais Mansur

2012-06-01

Full Text Available INTRODUÇÃO: Fragilidade é um estado de vulnerabilidade fisiológica do paciente que se associa ao maior número de hospitalização e óbito. OBJETIVOS: Avaliar a prevalência de fragilidade e os fatores a ela associados em pacientes com doença renal crônica (DRC em tratamento conservador (TC, hemodiálise (HD e diálise peritoneal (DP. MÉTODOS: A fragilidade foi avaliada em 146 pacientes (86 em TC, 37 em HD e 23 em DP e caracterizada como fraqueza muscular e exaustão - pelos domínios do aspecto físico e da vitalidade, respectivamente, avaliados pelo questionário SF-36 de qualidade de vida; como inatividade física caso a resposta fosse "nunca" ou "quase nunca" - quando questionado sobre a prática de atividade física; e como perda de peso não intencional (> 4,5 kg por ano. Os pacientes foram divididos em três grupos: não frágeis (NF, pré-frágeis (PF e frágeis (F. As variáveis demográficas, clínicas e laboratoriais foram extraídas dos prontuários dos pacientes. RESULTADOS: A fragilidade foi caracterizada em 36% dos pacientes em TC, 37,8% em HD e 47,8% em DP. Foi diagnosticada em 36,8% dos pacientes com idade entre 20 e 40 anos e 40,3% daqueles entre 41 e 60 anos. A fragilidade associou-se significativamente ao uso de vitamina D (r = 0.16; p = 0.03, hemoglobina (r = -0.14; p = - 0.02 e paratormônio intacto (r = 0.16; p = 0.03. CONCLUSÕES: A fragilidade é frequente entre os pacientes com DRC em tratamento conservador e dialítico, mesmo naqueles não idosos. Nos pacientes estudados, o fenótipo de fragilidade se associou com o não uso de vitamina D, menores níveis séricos de hemoglobina e níveis mais elevados de paratormônio.

Os Tupinikim e a cidade: etnicidade em contexto urbano

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Celeste Ciccarone

2008-01-01

Full Text Available No censo de 2000, ganha visibilidade o crescimento demográfico dos indígenas na cidade e o processo de emergência étnica desta população, desconstruindo a imagem da cidade como espaço de negação da identidade indígena. As relações entre a cidade e a aldeia emergem em sua historicidade nos relatos dos Tupinikim, como fluxos constantes de mão-de-obra infantil e adulta para a produ-ção e reprodução da sociedade urbana, e de parentes, bens e mensagens que mantêm articuladas, na mobilidade, a cidade, da qual se apropriam, em seus próprios termos, com o lugar de origem, habitando os dois mundos.

Ultra-Fast Image Reconstruction of Tomosynthesis Mammography Using GPU.

Science.gov (United States)

Arefan, D; Talebpour, A; Ahmadinejhad, N; Kamali Asl, A

2015-06-01

Digital Breast Tomosynthesis (DBT) is a technology that creates three dimensional (3D) images of breast tissue. Tomosynthesis mammography detects lesions that are not detectable with other imaging systems. If image reconstruction time is in the order of seconds, we can use Tomosynthesis systems to perform Tomosynthesis-guided Interventional procedures. This research has been designed to study ultra-fast image reconstruction technique for Tomosynthesis Mammography systems using Graphics Processing Unit (GPU). At first, projections of Tomosynthesis mammography have been simulated. In order to produce Tomosynthesis projections, it has been designed a 3D breast phantom from empirical data. It is based on MRI data in its natural form. Then, projections have been created from 3D breast phantom. The image reconstruction algorithm based on FBP was programmed with C++ language in two methods using central processing unit (CPU) card and the Graphics Processing Unit (GPU). It calculated the time of image reconstruction in two kinds of programming (using CPU and GPU).

Ultra-Fast Image Reconstruction of Tomosynthesis Mammography Using GPU

Directory of Open Access Journals (Sweden)

Arefan D

2015-06-01

Full Text Available Digital Breast Tomosynthesis (DBT is a technology that creates three dimensional (3D images of breast tissue. Tomosynthesis mammography detects lesions that are not detectable with other imaging systems. If image reconstruction time is in the order of seconds, we can use Tomosynthesis systems to perform Tomosynthesis-guided Interventional procedures. This research has been designed to study ultra-fast image reconstruction technique for Tomosynthesis Mammography systems using Graphics Processing Unit (GPU. At first, projections of Tomosynthesis mammography have been simulated. In order to produce Tomosynthesis projections, it has been designed a 3D breast phantom from empirical data. It is based on MRI data in its natural form. Then, projections have been created from 3D breast phantom. The image reconstruction algorithm based on FBP was programmed with C++ language in two methods using central processing unit (CPU card and the Graphics Processing Unit (GPU. It calculated the time of image reconstruction in two kinds of programming (using CPU and GPU.

Os ciganos e os processos de exclusão

Directory of Open Access Journals (Sweden)

Lourival Andrade Júnior

2013-12-01

Full Text Available Entrar em contato com os ciganos e seu mundo de significações e práticas que podemos chamar de cultura cigana ou 'ciganidade', mesmo correndo o risco das generalizações, é estar em contato com um tema que insiste em escapar entre nossos dedos. Deparamo-nos com um povo que ao longo da história acabou se adaptando a cada novo encontro e a cada nova região, buscando sobreviver em um mundo que busca e valoriza os seus contrários. Mesmo assim, esse povo manteve muitas de suas tradições intactas durante séculos de nomadismo. Para os ciganos nômades, a barraca é o seu lugar. Durante séculos as adjetivações negativas em relação aos ciganos aparecem em leis, decretos, matérias jornalísticas, processos criminais e também nas artes. Esses processos de exclusão fizeram e fazem parte da dinâmica dos Estados que veem os grupos ciganos como perigosos e desnecessários.

Serviços via Web em bibliotecas universitárias brasileiras

Directory of Open Access Journals (Sweden)

Carlos Henrique Marcondes

Full Text Available Resultados de pesquisa apoiada pelo PIBIC CNPq/UFF, desenvolvida no período agosto/2004 a julho/2005, com o objetivo de identificar a existência de serviços oferecidos via web em bibliotecas universitárias brasileiras. Foram avaliadas as páginas de 209 bibliotecas universitárias de todas as regiões geográficas do país, tendo como critério de seleção as universidades com maior número de cursos de pós-graduação, segundo o site da CAPES, considerando-se as sete primeiras universidades de cada região. Os sites das bibliotecas destas universidades foram visitados e avaliados, com objetivo de identificar os tipos de serviços oferecidos via web. Verificou-se que este tipo de serviço ainda é pouco oferecido pelas bibliotecas universitárias brasileiras.

Clinical applications of iterative reconstruction

International Nuclear Information System (INIS)

Eberl, S.

1998-01-01

Expectation maximisation (EM) reconstruction largely eliminates the hot and cold streaking artifacts characteristic of filtered-back projection (FBP) reconstruction around localised hot areas, such as the bladder. It also substantially reduces the problem of decreased inferior wall counts in MIBI myocardial perfusion studies due to ''streaking'' from high liver uptake. Non-uniform attenuation and scatter correction, resolution recovery, anatomical information, e.g. from MRI or CT tracer kinetic modelling, can all be built into the EM reconstruction imaging model. The properties of ordered subset EM (OSEM) have also been used to correct for known patient motion as part of the reconstruction process. These uses of EM are elaborated more fully in some of the other abstracts of this meeting. Currently we use OSEM routinely for: (i) studies where streaking is a problem, including all MIBI myocardial perfusion studies, to avoid hot liver inferior wall artifact, (ii) all whole body FDG PET, all lung V/Q SPECT (which have a short acquisition time) and all gated 201 TI myocardial perfusion studies due to improved noise characteristics of OSEM in these studies; (iii) studies with measured, non-uniform attenuation correction. With the accelerated OSEM algorithm, iterative reconstruction is practical for routine clinical applications and we have found OSEM to provide clearly superior reconstructions for the areas listed above and are investigating its application to other studies. In clinical use, we have not found OSEM to introduce artifacts which would not also occur with FBP, e.g. uncorrected patient motion will cause artifacts with both OSEM and FBP

Influence of image reconstruction methods on statistical parametric mapping of brain PET images

International Nuclear Information System (INIS)

Yin Dayi; Chen Yingmao; Yao Shulin; Shao Mingzhe; Yin Ling; Tian Jiahe; Cui Hongyan

2007-01-01

Objective: Statistic parametric mapping (SPM) was widely recognized as an useful tool in brain function study. The aim of this study was to investigate if imaging reconstruction algorithm of PET images could influence SPM of brain. Methods: PET imaging of whole brain was performed in six normal volunteers. Each volunteer had two scans with true and false acupuncturing. The PET scans were reconstructed using ordered subsets expectation maximization (OSEM) and filtered back projection (FBP) with 3 varied parameters respectively. The images were realigned, normalized and smoothed using SPM program. The difference between true and false acupuncture scans was tested using a matched pair t test at every voxel. Results: (1) SPM corrected multiple comparison (P corrected uncorrected <0.001): SPM derived from the images with different reconstruction method were different. The largest difference, in number and position of the activated voxels, was noticed between FBP and OSEM re- construction algorithm. Conclusions: The method of PET image reconstruction could influence the results of SPM uncorrected multiple comparison. Attention should be paid when the conclusion was drawn using SPM uncorrected multiple comparison. (authors)

A combinational fast algorithm for image reconstruction

International Nuclear Information System (INIS)

Wu Zhongquan

1987-01-01

A combinational fast algorithm has been developed in order to increase the speed of reconstruction. First, an interpolation method based on B-spline functions is used in image reconstruction. Next, the influence of the boundary conditions assumed here on the interpolation of filtered projections and on the image reconstruction is discussed. It is shown that this boundary condition has almost no influence on the image in the central region of the image space, because the error of interpolation rapidly decreases by a factor of ten in shifting two pixels from the edge toward the center. In addition, a fast algorithm for computing the detecting angle has been used with the mentioned interpolation algorithm, and the cost for detecting angle computaton is reduced by a factor of two. The implementation results show that in the same subjective and objective fidelity, the computational cost for the interpolation using this algorithm is about one-twelfth of the conventional algorithm

Dual-source CT coronary imaging in heart transplant recipients: image quality and optimal reconstruction interval

International Nuclear Information System (INIS)

Bastarrika, Gorka; Arraiza, Maria; Pueyo, Jesus C.; Cecco, Carlo N. de; Ubilla, Matias; Mastrobuoni, Stefano; Rabago, Gregorio

2008-01-01

The image quality and optimal reconstruction interval for coronary arteries in heart transplant recipients undergoing non-invasive dual-source computed tomography (DSCT) coronary angiography was evaluated. Twenty consecutive heart transplant recipients who underwent DSCT coronary angiography were included (19 male, one female; mean age 63.1±10.7 years). Data sets were reconstructed in 5% steps from 30% to 80% of the R-R interval. Two blinded independent observers assessed the image quality of each coronary segments using a five-point scale (from 0 = not evaluative to 4=excellent quality). A total of 289 coronary segments in 20 heart transplant recipients were evaluated. Mean heart rate during the scan was 89.1±10.4 bpm. At the best reconstruction interval, diagnostic image quality (score ≥2) was obtained in 93.4% of the coronary segments (270/289) with a mean image quality score of 3.04± 0.63. Systolic reconstruction intervals provided better image quality scores than diastolic reconstruction intervals (overall mean quality scores obtained with the systolic and diastolic reconstructions 3.03±1.06 and 2.73±1.11, respectively; P<0.001). Different systolic reconstruction intervals (35%, 40%, 45% of RR interval) did not yield to significant differences in image quality scores for the coronary segments (P=0.74). Reconstructions obtained at the systolic phase of the cardiac cycle allowed excellent diagnostic image quality coronary angiograms in heart transplant recipients undergoing DSCT coronary angiography. (orig.)

Quantitative reconstruction from a single diffraction-enhanced image

International Nuclear Information System (INIS)

Paganin, D.M.; Lewis, R.A.; Kitchen, M.

2003-01-01

Full text: We develop an algorithm for using a single diffraction-enhanced image (DEI) to obtain a quantitative reconstruction of the projected thickness of a single-material sample which is embedded within a substrate of approximately constant thickness. This algorithm is used to quantitatively map inclusions in a breast phantom, from a single synchrotron DEI image. In particular, the reconstructed images quantitatively represent the projected thickness in the bulk of the sample, in contrast to DEI images which greatly emphasise sharp edges (high spatial frequencies). In the context of an ultimate aim of improved methods for breast cancer detection, the reconstructions are potentially of greater diagnostic value compared to the DEI data. Lastly, we point out that the methods of analysis presented here are also applicable to the quantitative analysis of differential interference contrast (DIC) images

Image reconstruction under non-Gaussian noise

DEFF Research Database (Denmark)

Sciacchitano, Federica

During acquisition and transmission, images are often blurred and corrupted by noise. One of the fundamental tasks of image processing is to reconstruct the clean image from a degraded version. The process of recovering the original image from the data is an example of inverse problem. Due...... to the ill-posedness of the problem, the simple inversion of the degradation model does not give any good reconstructions. Therefore, to deal with the ill-posedness it is necessary to use some prior information on the solution or the model and the Bayesian approach. Additive Gaussian noise has been......D thesis intends to solve some of the many open questions for image restoration under non-Gaussian noise. The two main kinds of noise studied in this PhD project are the impulse noise and the Cauchy noise. Impulse noise is due to for instance the malfunctioning pixel elements in the camera sensors, errors...

Controle químico da Cercosporiose, Mancha-Branca e dos Grãos Ardidos em milho

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André Humberto Brito

2013-10-01

Full Text Available Este trabalho foi realizado com o objetivo de avaliar os efeitos da aplicação de fungicida, no controle da Cercosporiose e da Mancha-Branca do milho, e suas consequências na produtividade de grãos e na incidência de grãos ardidos, além de estabelecer a relação existente entre a produtividade de grãos e a severidade dessas doenças. Dois experimentos distintos (com Azoxystrobina + Cyproconazole e tratamento controle foram conduzidos em três locais, no ano agrícola de 2007/2008. Utilizaram-se 12 híbridos comerciais de milho, que foram avaliados em delineamento de blocos casualizados, com três repetições. Foram realizadas cinco avaliações da severidade das doenças Cercosporiose e Mancha-Branca, por meio de escala de notas, variando de 1 (altamente resistente a 9 (altamente susceptível. Estimou-se a área abaixo da curva de progresso da doença (AACPD. A aplicação de fungicida é eficiente no controle de doenças foliares e na redução da incidência de grãos ardidos, além de proporcionar 12% de aumento na produtividade de grãos, em relação à do tratamento controle. As doenças foliares Cercosporiose e Mancha-Branca reduzem a produtividade de grãos de milho e essa redução é maior quando as doenças ocorrem mais precocemente. A Cercosporiose provoca maior redução na produtividade de grãos, quando comparada com a Mancha-Branca.

Fast parallel algorithm for CT image reconstruction.

Science.gov (United States)

Flores, Liubov A; Vidal, Vicent; Mayo, Patricia; Rodenas, Francisco; Verdú, Gumersindo

2012-01-01

In X-ray computed tomography (CT) the X rays are used to obtain the projection data needed to generate an image of the inside of an object. The image can be generated with different techniques. Iterative methods are more suitable for the reconstruction of images with high contrast and precision in noisy conditions and from a small number of projections. Their use may be important in portable scanners for their functionality in emergency situations. However, in practice, these methods are not widely used due to the high computational cost of their implementation. In this work we analyze iterative parallel image reconstruction with the Portable Extensive Toolkit for Scientific computation (PETSc).

Fast Dictionary-Based Reconstruction for Diffusion Spectrum Imaging

Science.gov (United States)

Bilgic, Berkin; Chatnuntawech, Itthi; Setsompop, Kawin; Cauley, Stephen F.; Yendiki, Anastasia; Wald, Lawrence L.; Adalsteinsson, Elfar

2015-01-01

Diffusion Spectrum Imaging (DSI) reveals detailed local diffusion properties at the expense of substantially long imaging times. It is possible to accelerate acquisition by undersampling in q-space, followed by image reconstruction that exploits prior knowledge on the diffusion probability density functions (pdfs). Previously proposed methods impose this prior in the form of sparsity under wavelet and total variation (TV) transforms, or under adaptive dictionaries that are trained on example datasets to maximize the sparsity of the representation. These compressed sensing (CS) methods require full-brain processing times on the order of hours using Matlab running on a workstation. This work presents two dictionary-based reconstruction techniques that use analytical solutions, and are two orders of magnitude faster than the previously proposed dictionary-based CS approach. The first method generates a dictionary from the training data using Principal Component Analysis (PCA), and performs the reconstruction in the PCA space. The second proposed method applies reconstruction using pseudoinverse with Tikhonov regularization with respect to a dictionary. This dictionary can either be obtained using the K-SVD algorithm, or it can simply be the training dataset of pdfs without any training. All of the proposed methods achieve reconstruction times on the order of seconds per imaging slice, and have reconstruction quality comparable to that of dictionary-based CS algorithm. PMID:23846466

Correlative Stochastic Optical Reconstruction Microscopy and Electron Microscopy

Science.gov (United States)

Kim, Doory; Deerinck, Thomas J.; Sigal, Yaron M.; Babcock, Hazen P.; Ellisman, Mark H.; Zhuang, Xiaowei

2015-01-01

Correlative fluorescence light microscopy and electron microscopy allows the imaging of spatial distributions of specific biomolecules in the context of cellular ultrastructure. Recent development of super-resolution fluorescence microscopy allows the location of molecules to be determined with nanometer-scale spatial resolution. However, correlative super-resolution fluorescence microscopy and electron microscopy (EM) still remains challenging because the optimal specimen preparation and imaging conditions for super-resolution fluorescence microscopy and EM are often not compatible. Here, we have developed several experiment protocols for correlative stochastic optical reconstruction microscopy (STORM) and EM methods, both for un-embedded samples by applying EM-specific sample preparations after STORM imaging and for embedded and sectioned samples by optimizing the fluorescence under EM fixation, staining and embedding conditions. We demonstrated these methods using a variety of cellular targets. PMID:25874453

As crianças pobres na franja da economia cafeeira: os contratos de órfãos em Socorro/SP na década de 1880

OpenAIRE

Lucília Siqueira

2010-01-01

Neste artigo analisamos alguns dos Contratos de Órfãos realizados em Socorro/SP na década de 1880. Na retaguarda da economia cafeeira paulista, naquela localidade de pequenas propriedades, muitos sitiantes contrataram os serviços das crianças pobres, filhas de escravos, de libertos ou de gente nascida livre.

Accelerating image reconstruction in three-dimensional optoacoustic tomography on graphics processing units.

Science.gov (United States)

Wang, Kun; Huang, Chao; Kao, Yu-Jiun; Chou, Cheng-Ying; Oraevsky, Alexander A; Anastasio, Mark A

2013-02-01

Optoacoustic tomography (OAT) is inherently a three-dimensional (3D) inverse problem. However, most studies of OAT image reconstruction still employ two-dimensional imaging models. One important reason is because 3D image reconstruction is computationally burdensome. The aim of this work is to accelerate existing image reconstruction algorithms for 3D OAT by use of parallel programming techniques. Parallelization strategies are proposed to accelerate a filtered backprojection (FBP) algorithm and two different pairs of projection/backprojection operations that correspond to two different numerical imaging models. The algorithms are designed to fully exploit the parallel computing power of graphics processing units (GPUs). In order to evaluate the parallelization strategies for the projection/backprojection pairs, an iterative image reconstruction algorithm is implemented. Computer simulation and experimental studies are conducted to investigate the computational efficiency and numerical accuracy of the developed algorithms. The GPU implementations improve the computational efficiency by factors of 1000, 125, and 250 for the FBP algorithm and the two pairs of projection/backprojection operators, respectively. Accurate images are reconstructed by use of the FBP and iterative image reconstruction algorithms from both computer-simulated and experimental data. Parallelization strategies for 3D OAT image reconstruction are proposed for the first time. These GPU-based implementations significantly reduce the computational time for 3D image reconstruction, complementing our earlier work on 3D OAT iterative image reconstruction.

Modelo de agente racional para auxiliar na gestão de serviços em redes de computadores

OpenAIRE

José Elias da Silva Justo; Annabell del Real Tamariz

2012-01-01

A globalização aumentou consideravelmente o volume de dados a serem processados, surgindo a necessidade de interligar computadores em redes. Administrar redes de computadores não é uma tarefa trivial. Agentes inteligentes podem auxiliar na gestão de redes de computadores. O objetivo deste trabalho é desenvolver um protótipo baseado em um agente de software, que monitore, gerencie serviços prestados em redes de computadores e intervenha reativamente, reiniciando quaisquer dos serviços com prob...

Contratação por desempenho em serviços de manutenção: o caso da CST Arcelor Brasil

Directory of Open Access Journals (Sweden)

Cristina Weber Ambrósio

2008-10-01

Full Text Available O objetivo deste artigo é discutir a contratação por desempenho e os benefícios que ela pode proporcionar para as empresas. O trabalho apresenta o processo de contratação por avaliação de desempenho na terceirização de serviços de manutenção. A contribuição do artigo consiste em identificar os fatores motivadores desta modalidade de contrato, bem como as etapas recomendadas para a obtenção de sucesso em um processo de contratação desta natureza. É apresentado o estudo de caso da siderúrgica CST Arcelor Brasil, onde se utiliza o modelo de contratação por desempenho na área de serviços de manutenção. Os contratos são firmados com base em cláusulas de desempenho, que buscam monitorar a performance dos serviços prestados segundo indicadores estabelecidos pela CST  em conjunto com empresas parceiras. A metodologia utilizada consiste  na pesquisa bibliográfica sobre a evolução das relações com fornecedores e em entrevistas com especialistas nas áreas de contratação, logística e vendas.

Racismo e preconceito contra os Avá-Guarani em Guaíra e Terra Roxa no Paraná.

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Rosangela Daiana dos Santos

2017-12-01

Full Text Available Os casos de preconceito e racismo contra as comunidades indígenas em Guaíra e Terra Roxa no Paraná é preocupante e vem se agravando com o passar dos anos, a partir das análises feitas neste artigo trataremos das abordagens sobre o racismo, o preconceito e os casos onde os indígenas são reprimidos e excluídos da sociedade onde estão inseridos, como consequências de campanhas anti-indígenas lançadas por políticos. No decorrer deste artigo trataremos de discussões de uma reunião que ocorreu em uma comunidade indígena em Guaíra - PR em junho de 2016; contextualizaremos os processos históricos que levaram a matança dos povos indígenas, relacionando-a com acontecimentos dos últimos anos e as violações dos direitos indígenas. Na atualidade faz-se necessário a conscientização da população, dessa forma discutiremos soluções que podem ser tomadas para tentar mudar o rumo desses acontecimentos.

Compressively sampled MR image reconstruction using generalized thresholding iterative algorithm

Science.gov (United States)

Elahi, Sana; kaleem, Muhammad; Omer, Hammad

2018-01-01

Compressed sensing (CS) is an emerging area of interest in Magnetic Resonance Imaging (MRI). CS is used for the reconstruction of the images from a very limited number of samples in k-space. This significantly reduces the MRI data acquisition time. One important requirement for signal recovery in CS is the use of an appropriate non-linear reconstruction algorithm. It is a challenging task to choose a reconstruction algorithm that would accurately reconstruct the MR images from the under-sampled k-space data. Various algorithms have been used to solve the system of non-linear equations for better image quality and reconstruction speed in CS. In the recent past, iterative soft thresholding algorithm (ISTA) has been introduced in CS-MRI. This algorithm directly cancels the incoherent artifacts produced because of the undersampling in k -space. This paper introduces an improved iterative algorithm based on p -thresholding technique for CS-MRI image reconstruction. The use of p -thresholding function promotes sparsity in the image which is a key factor for CS based image reconstruction. The p -thresholding based iterative algorithm is a modification of ISTA, and minimizes non-convex functions. It has been shown that the proposed p -thresholding iterative algorithm can be used effectively to recover fully sampled image from the under-sampled data in MRI. The performance of the proposed method is verified using simulated and actual MRI data taken at St. Mary's Hospital, London. The quality of the reconstructed images is measured in terms of peak signal-to-noise ratio (PSNR), artifact power (AP), and structural similarity index measure (SSIM). The proposed approach shows improved performance when compared to other iterative algorithms based on log thresholding, soft thresholding and hard thresholding techniques at different reduction factors.

Quantitative SPECT reconstruction of iodine-123 data

International Nuclear Information System (INIS)

Gilland, D.R.; Jaszczak, R.J.; Greer, K.L.; Coleman, R.E.

1991-01-01

Many clinical and research studies in nuclear medicine require quantitation of iodine-123 ( 123 I) distribution for the determination of kinetics or localization. The objective of this study was to implement several reconstruction methods designed for single-photon emission computed tomography (SPECT) using 123 I and to evaluate their performance in terms of quantitative accuracy, image artifacts, and noise. The methods consisted of four attenuation and scatter compensation schemes incorporated into both the filtered backprojection/Chang (FBP) and maximum likelihood-expectation maximization (ML-EM) reconstruction algorithms. The methods were evaluated on data acquired of a phantom containing a hot sphere of 123 I activity in a lower level background 123 I distribution and nonuniform density media. For both reconstruction algorithms, nonuniform attenuation compensation combined with either scatter subtraction or Metz filtering produced images that were quantitatively accurate to within 15% of the true value. The ML-EM algorithm demonstrated quantitative accuracy comparable to FBP and smaller relative noise magnitude for all compensation schemes

Three dimensional image reconstruction in the Fourier domain

International Nuclear Information System (INIS)

Stearns, C.W.; Chesler, D.A.; Brownell, G.L.

1987-01-01

Filtered backprojection reconstruction algorithms are based upon the relationship between the Fourier transform of the imaged object and the Fourier transforms of its projections. A new reconstruction algorithm has been developed which performs the image assembly operation in Fourier space, rather than in image space by backprojection. This represents a significant decrease in the number of operations required to assemble the image. The new Fourier domain algorithm has resolution comparable to the filtered backprojection algorithm, and, after correction by a pointwise multiplication, demonstrates proper recovery throughout image space. Although originally intended for three-dimensional imaging applications, the Fourier domain algorithm can also be developed for two-dimensional imaging applications such as planar positron imaging systems

Radionuclide imaging with coded apertures and three-dimensional image reconstruction from focal-plane tomography

International Nuclear Information System (INIS)

Chang, L.T.

1976-05-01

Two techniques for radionuclide imaging and reconstruction have been studied;; both are used for improvement of depth resolution. The first technique is called coded aperture imaging, which is a technique of tomographic imaging. The second technique is a special 3-D image reconstruction method which is introduced as an improvement to the so called focal-plane tomography

Gestão do conhecimento para serviços de informação: análise de produtos e serviços inovadores em Bibliotecas Universitárias

Directory of Open Access Journals (Sweden)

Camila Quaresma Martins

2011-07-01

Full Text Available O estudo em questão tem por objetivo identificar e conhecer as inovações nos produtos e serviços oferecidos pelas Bibliotecas universitárias para atrair e satisfazer as necessidades de seus clientes na perspectiva da Gestão do Conhecimento (GC. Trata-se de uma pesquisa exploratória, descritiva, de cunho qualitativo, realizada através da revisão da bibliografia existente sobre a Gestão do conhecimento em Bibliotecas e da análise dos sites institucionais de seis bibliotecas escolhidas aleatoriamente, e também através da aplicação de questionário, enviados por e-mail aos bibliotecários das instituições pesquisadas, que serviram de apoio a pesquisa realizada nos sítios institucionais. Com base neste estudo, espera-se auxiliar as bibliotecas que buscam crescimento e diferenciais em seus serviços a adotarem os modelos apresentados ou criarem novos modelos a partir das sugestões de serviços apresentados e ainda reforçar o uso da GC em bibliotecas como sendo fundamental para que as organizações possam atender seus desafios.

As crianças pobres na franja da economia cafeeira: os contratos de órfãos em Socorro/SP na década de 1880

Directory of Open Access Journals (Sweden)

Lucília Siqueira

2010-12-01

Full Text Available Neste artigo analisamos alguns dos Contratos de Órfãos realizados em Socorro/SP na década de 1880. Na retaguarda da economia cafeeira paulista, naquela localidade de pequenas propriedades, muitos sitiantes contrataram os serviços das crianças pobres, filhas de escravos, de libertos ou de gente nascida livre.

On the use of successive data in the ML-EM algorithm in Positron Emission Tomography

Energy Technology Data Exchange (ETDEWEB)

Desmedt, P; Lemahieu, I [University of Ghent, ELIS Department, SInt-Pietersnieuwstraat 41, B-9000 Gent, (Belgium)

1994-12-31

The Maximum Likelihood-Expectation Maximization (ML-EM) algorithm is the most popular statistical reconstruction technique for Positron Emission Tomography (PET). The ML-EM algorithm is however also renowned for its long reconstruction times. An acceleration technique for this algorithm is studied in this paper. The proposed technique starts the ML-EM algorithm before the measurement process is completed. Since the reconstruction is initiated during the scan of the patient, the time elapsed before a reconstruction becomes available is reduced. Experiments with software phantoms indicate that the quality of the reconstructed image using successive data is comparable to the quality of the reconstruction with the normal ML-EM algorithm. (authors). 7 refs, 3 figs.

ESTRUTURA DE SERVIÇOS E ACESSO A CONSUMOS EM SAÚDE POR IDOSOS EM UM CONTEXTO RURAL DO SUL DO BRASIL

Directory of Open Access Journals (Sweden)

Luciana Ruschel de Alcântara

2012-03-01

Full Text Available Este estudo analisa o acesso e a utilização dos os serviços de saúde por idosos rurais, de um município da Metade Sul do RS. Busca-se descrever e traçar os fluxos de acesso aos serviços de saúde, levando-se em conta o contexto econômico, social, geográfico e cultural dos idosos entrevistados e das práticas utilizadas a partir dos problemas de saúde que os afetam. Trata-se de um estudo híbrido, com desenho epidemiológico descritivo com coleta e análise qualitativa dos dados obtidos por meio de entrevista com 30 idosos residentes no meio rural de Santana da Boa Vista. Quanto aos serviços de saúde, mais da metade dos idosos declarou utilizar habitualmente a Rede Municipal, em consequência dos problemas crônicos. As principais dificuldades na relação com os serviços de saúde estão relacionadas aos recursos financeiros insuficientes; à demora no atendimento; à ausência de transporte; ao uso de automedicação e ausência de profissionais médicos. Esses resultados expressam desigualdades sociais e de saúde, predominando as dificuldades de acesso funcional e geográfico, já que a maioria dos serviços de saúde encontra-se fora da área rural. A análise das trajetórias terapêuticas apontou para a diversidade de situações e estratégias de saúde desenvolvidas pelos usuários e pelo Município.

Reconstructed coronal views of CT and isotopic images of the pancreas

International Nuclear Information System (INIS)

Kasuga, Toshio; Kobayashi, Toshio; Nakanishi, Fumiko

1980-01-01

To compare functional images of the pancreas by scintigraphy with morphological views of the pancreas by CT, CT coronal views of the pancreas were reconstructed. As CT coronal views were reconstructed from the routine scanning, there was a problem in longitudinal spatial resolution. However, almost satisfactory total images of the pancreas were obtained by improving images adequately. In 27 patients whose diseases had been confirmed, it was easy to compare pancreatic scintigrams with pancreatic CT images by using reconstructed CT coronal views, and information which had not been obtained by original CT images could be obtained by using reconstructed CT coronal views. Especially, defects on pancreatic images and the shape of pancreas which had not been visualized clearly by scintigraphy alone could be visualized by using reconstructed CT coronal views of the pancreas. (Tsunoda, M.)

TREE STEM RECONSTRUCTION USING VERTICAL FISHEYE IMAGES: A PRELIMINARY STUDY

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A. Berveglieri

2016-06-01

Full Text Available A preliminary study was conducted to assess a tree stem reconstruction technique with panoramic images taken with fisheye lenses. The concept is similar to the Structure from Motion (SfM technique, but the acquisition and data preparation rely on fisheye cameras to generate a vertical image sequence with height variations of the camera station. Each vertical image is rectified to four vertical planes, producing horizontal lateral views. The stems in the lateral view are rectified to the same scale in the image sequence to facilitate image matching. Using bundle adjustment, the stems are reconstructed, enabling later measurement and extraction of several attributes. The 3D reconstruction was performed with the proposed technique and compared with SfM. The preliminary results showed that the stems were correctly reconstructed by using the lateral virtual images generated from the vertical fisheye images and with the advantage of using fewer images and taken from one single station.

Tamanho relativo dos órgãos internos e do trato gastrintestinal de bovinos Zebu e mestiços leiteiros em sistema de recria

Directory of Open Access Journals (Sweden)

Backes Alfredo Acosta

2006-01-01

Full Text Available Utilizaram-se 12 bovinos machos castrados, com peso vivo médio de 257kg, sendo quatro zebu e oito mestiços leiteiros (quatro fraction one-half sangue Holandês x Gir e quatro fraction one-half sangue Holandês x Guzerá. Foram pesados e distribuídos em dois tratamentos (zebu e mestiços leiteiros, em fase de recria. Os animais foram avaliados até atingirem 340kg de peso vivo. O volumoso utilizado foi o feno de capim Tifton 85 (Cynodon dactylon. Por ocasião do abate foram coletadas amostras de rúmen, retículo, omaso, abomaso e intestinos, após o seu esvaziamento e limpeza, obtendo-se ainda os pesos e amostras de sangue, pele, pés, cabeça, fígado, rins, pulmões, língua, baço e gordura interna (mesentério e gorduras perirenal e pericardíaca. O peso do corpo vazio (PCVZ foi obtido pela soma dos pesos da carcaça, sangue, pele, pés, rabo, vísceras e órgãos. Na fase de recria e engorda, os animais zebu apresentaram a pele e o conjunto cabeça-pés-pele mais pesado do que os mestiços leiteiros. Também apresentaram os órgãos rins, baço, coração e língua mais leves do que dos mestiços. O conjunto rúmen-retículo-omaso-abomaso e os teores de gordura mesentérica e interna não apresentaram diferença entre animais mestiços leiteiros e zebu.

Qualitative and quantitative analysis of reconstructed images using projections with noises

International Nuclear Information System (INIS)

Lopes, R.T.; Assis, J.T. de

1988-01-01

The reconstruction of a two-dimencional image from one-dimensional projections in an analytic algorithm ''convolution method'' is simulated on a microcomputer. In this work it was analysed the effects caused in the reconstructed image in function of the number of projections and noise level added to the projection data. Qualitative and quantitative (distortion and image noise) comparison were done with the original image and the reconstructed images. (author) [pt

Os espaços de memória e a morte como imagem em Cien años de soledad, de Gabriel García Márquez

OpenAIRE

Suziane Carla Fonseca

2015-01-01

Os 'espaços de memória e a morte como imagem' em 'Cien años de soledad' são o tema desta tese, que busca compreender como é representada a memória individual e a coletiva no principal romance do escritor colombiano Gabriel García Márquez, além de problematizar uma concepção que traz a morte como potência visual, naquilo que apresenta de possibilidades para se refletir sobre algumas das questões cruciais da América Latina no século XX no contexto de transição para a modernidade. Tais temáticas...

Improving parallel imaging by jointly reconstructing multi-contrast data.

Science.gov (United States)

Bilgic, Berkin; Kim, Tae Hyung; Liao, Congyu; Manhard, Mary Kate; Wald, Lawrence L; Haldar, Justin P; Setsompop, Kawin

2018-08-01

To develop parallel imaging techniques that simultaneously exploit coil sensitivity encoding, image phase prior information, similarities across multiple images, and complementary k-space sampling for highly accelerated data acquisition. We introduce joint virtual coil (JVC)-generalized autocalibrating partially parallel acquisitions (GRAPPA) to jointly reconstruct data acquired with different contrast preparations, and show its application in 2D, 3D, and simultaneous multi-slice (SMS) acquisitions. We extend the joint parallel imaging concept to exploit limited support and smooth phase constraints through Joint (J-) LORAKS formulation. J-LORAKS allows joint parallel imaging from limited autocalibration signal region, as well as permitting partial Fourier sampling and calibrationless reconstruction. We demonstrate highly accelerated 2D balanced steady-state free precession with phase cycling, SMS multi-echo spin echo, 3D multi-echo magnetization-prepared rapid gradient echo, and multi-echo gradient recalled echo acquisitions in vivo. Compared to conventional GRAPPA, proposed joint acquisition/reconstruction techniques provide more than 2-fold reduction in reconstruction error. JVC-GRAPPA takes advantage of additional spatial encoding from phase information and image similarity, and employs different sampling patterns across acquisitions. J-LORAKS achieves a more parsimonious low-rank representation of local k-space by considering multiple images as additional coils. Both approaches provide dramatic improvement in artifact and noise mitigation over conventional single-contrast parallel imaging reconstruction. Magn Reson Med 80:619-632, 2018. © 2018 International Society for Magnetic Resonance in Medicine. © 2018 International Society for Magnetic Resonance in Medicine.

Avaliação da qualidade percebida em serviços educacionais: proposta de uma escala

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Verônica Paludo Bressan

2015-05-01

Full Text Available http://dx.doi.org/10.5007/1983-4535.2015v8n2p216 O objetivo geral desta pesquisa é desenvolver e validar uma escala com a finalidade de mensurar a qualidade percebida por alunos de graduação em serviços educacionais. Para sua realização, foi desenvolvida uma pesquisa bibliográfica relacionada aos conceitos de qualidade percebida no ensino e formas de mensuração da qualidade, identificando a necessidade de desenvolvimento de uma escala específica para serviços educacionais, uma vez que as ferramentas encontradas tratavam de serviços de forma genérica. Foram seguidas as etapas propostas por Churchill (1979, sendo realizadas entrevistas com 17 alunos, na etapa qualitativa exploratória, e aplicados questionários em 410 alunos, na etapa quantitativa descritiva, composta por duas amostras, de teste e validação. Os resultados obtidos através de análise fatorial exploratória e análise fatorial confirmatória demonstraram a confiabilidade da escala, permitindo sua aplicação no contexto gerencial das IES. A escala final foi composta por 20 indicadores e 6 dimensões: organização curricular, corpo docente, pesquisa e extensão, organização administrativa, infraestrutura e serviços agregados. Este estudo apresenta implicações acadêmicas, colaborando com a discussão sobre os indicadores que compõem a qualidade percebida em serviços educacionais. Também são identificadas implicações gerenciais, uma vez que apresenta uma nova ferramenta que poderá ser utilizada nas IES como forma de qualificar a entrega dos serviços aos alunos.

Silhouette-based approach of 3D image reconstruction for automated image acquisition using robotic arm

Science.gov (United States)

Azhar, N.; Saad, W. H. M.; Manap, N. A.; Saad, N. M.; Syafeeza, A. R.

2017-06-01

This study presents the approach of 3D image reconstruction using an autonomous robotic arm for the image acquisition process. A low cost of the automated imaging platform is created using a pair of G15 servo motor connected in series to an Arduino UNO as a main microcontroller. Two sets of sequential images were obtained using different projection angle of the camera. The silhouette-based approach is used in this study for 3D reconstruction from the sequential images captured from several different angles of the object. Other than that, an analysis based on the effect of different number of sequential images on the accuracy of 3D model reconstruction was also carried out with a fixed projection angle of the camera. The effecting elements in the 3D reconstruction are discussed and the overall result of the analysis is concluded according to the prototype of imaging platform.

A biomechanical modeling-guided simultaneous motion estimation and image reconstruction technique (SMEIR-Bio) for 4D-CBCT reconstruction

Science.gov (United States)

Huang, Xiaokun; Zhang, You; Wang, Jing

2018-02-01

Reconstructing four-dimensional cone-beam computed tomography (4D-CBCT) images directly from respiratory phase-sorted traditional 3D-CBCT projections can capture target motion trajectory, reduce motion artifacts, and reduce imaging dose and time. However, the limited numbers of projections in each phase after phase-sorting decreases CBCT image quality under traditional reconstruction techniques. To address this problem, we developed a simultaneous motion estimation and image reconstruction (SMEIR) algorithm, an iterative method that can reconstruct higher quality 4D-CBCT images from limited projections using an inter-phase intensity-driven motion model. However, the accuracy of the intensity-driven motion model is limited in regions with fine details whose quality is degraded due to insufficient projection number, which consequently degrades the reconstructed image quality in corresponding regions. In this study, we developed a new 4D-CBCT reconstruction algorithm by introducing biomechanical modeling into SMEIR (SMEIR-Bio) to boost the accuracy of the motion model in regions with small fine structures. The biomechanical modeling uses tetrahedral meshes to model organs of interest and solves internal organ motion using tissue elasticity parameters and mesh boundary conditions. This physics-driven approach enhances the accuracy of solved motion in the organ’s fine structures regions. This study used 11 lung patient cases to evaluate the performance of SMEIR-Bio, making both qualitative and quantitative comparisons between SMEIR-Bio, SMEIR, and the algebraic reconstruction technique with total variation regularization (ART-TV). The reconstruction results suggest that SMEIR-Bio improves the motion model’s accuracy in regions containing small fine details, which consequently enhances the accuracy and quality of the reconstructed 4D-CBCT images.

PROPENSÃO DOS CONSUMIDORES AO USO DE SERVIÇOS DE PAGAMENTO EM DISPOSITIVOS MÓVEIS

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Luis Hernan Contreras Pinochet

2017-09-01

Full Text Available O objetivo deste artigo é analisar a propensão do consumidor ao uso de serviços de pagamentos em dispositivos móveis a partir dos construtos: confiança, facilidade de uso percebida, utilidade percebida, inovação pessoal e autoeficácia. O modelo adaptado a este estudo foi proposto por Duane, O’ Reilly, e Andreev (2014. A pesquisa utilizou abordagem quantitativa com o apoio da técnica de coleta de dados do tipo survey em corte transversal único, obteve-se os dados oriundos de 365 respondentes que foram analisados por meio da técnica de Modelagem de Equações Estruturais – MEE. Os resultados obtidos demonstraram que todas as hipóteses foram validadas no modelo. O construto autoeficácia, que apesar de influenciar a propensão ao uso de pagamento em dispositivos móveis, apresentou menor carga, dado que a maior parte dos participantes,  por pertencerem a grupos de jovens usuários, caracterizam-se por viverem numa “nowconomy”, isto é, a busca pelo imediatismo, reduzindo assim, o tempo de utilização das novas tecnologias.

Level-set-based reconstruction algorithm for EIT lung images: first clinical results.

Science.gov (United States)

Rahmati, Peyman; Soleimani, Manuchehr; Pulletz, Sven; Frerichs, Inéz; Adler, Andy

2012-05-01

We show the first clinical results using the level-set-based reconstruction algorithm for electrical impedance tomography (EIT) data. The level-set-based reconstruction method (LSRM) allows the reconstruction of non-smooth interfaces between image regions, which are typically smoothed by traditional voxel-based reconstruction methods (VBRMs). We develop a time difference formulation of the LSRM for 2D images. The proposed reconstruction method is applied to reconstruct clinical EIT data of a slow flow inflation pressure-volume manoeuvre in lung-healthy and adult lung-injury patients. Images from the LSRM and the VBRM are compared. The results show comparable reconstructed images, but with an improved ability to reconstruct sharp conductivity changes in the distribution of lung ventilation using the LSRM.

Level-set-based reconstruction algorithm for EIT lung images: first clinical results

International Nuclear Information System (INIS)

Rahmati, Peyman; Adler, Andy; Soleimani, Manuchehr; Pulletz, Sven; Frerichs, Inéz

2012-01-01

We show the first clinical results using the level-set-based reconstruction algorithm for electrical impedance tomography (EIT) data. The level-set-based reconstruction method (LSRM) allows the reconstruction of non-smooth interfaces between image regions, which are typically smoothed by traditional voxel-based reconstruction methods (VBRMs). We develop a time difference formulation of the LSRM for 2D images. The proposed reconstruction method is applied to reconstruct clinical EIT data of a slow flow inflation pressure–volume manoeuvre in lung-healthy and adult lung-injury patients. Images from the LSRM and the VBRM are compared. The results show comparable reconstructed images, but with an improved ability to reconstruct sharp conductivity changes in the distribution of lung ventilation using the LSRM. (paper)

Cuidados primários em saúde em Portugal: 10 anos de contratualização com os serviços de saúde na Região de Lisboa

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Baltazar Ricardo Monteiro

Full Text Available Resumo A contratualização consiste no desenvolvimento e implementação de um acordo documentado, através do qual uma das partes (financiador prevê uma compensação à outra parte (prestador, em troca de um conjunto de serviços de saúde a uma população-alvo. Descrevemos, mediante um estudo de caso, a história e o processo de implementação da contratualização nos cuidados de saúde primários portugueses (desde 1992, dando-se ênfase à consolidação da reforma dos cuidados de saúde primários, iniciada em 2005 e apontando desafios de futuro. Este artigo recorre ao estudo de caso, para refletir sobre os resultados obtidos no Agrupamento de Centros de Saúde do Oeste Norte, da Administração Regional de Lisboa e Vale do Tejo, entre 2009 e 2015, depois de terem implementado a contratualização. Verificou-se que o pagamento por incentivos terá de ser ponderada, em vista dos resultados obtidos, fortemente influenciados pelas mudanças epidemiológicas e socioeconômicas.

On an image reconstruction method for ECT

Science.gov (United States)

Sasamoto, Akira; Suzuki, Takayuki; Nishimura, Yoshihiro

2007-04-01

An image by Eddy Current Testing(ECT) is a blurred image to original flaw shape. In order to reconstruct fine flaw image, a new image reconstruction method has been proposed. This method is based on an assumption that a very simple relationship between measured data and source were described by a convolution of response function and flaw shape. This assumption leads to a simple inverse analysis method with deconvolution.In this method, Point Spread Function (PSF) and Line Spread Function(LSF) play a key role in deconvolution processing. This study proposes a simple data processing to determine PSF and LSF from ECT data of machined hole and line flaw. In order to verify its validity, ECT data for SUS316 plate(200x200x10mm) with artificial machined hole and notch flaw had been acquired by differential coil type sensors(produced by ZETEC Inc). Those data were analyzed by the proposed method. The proposed method restored sharp discrete multiple hole image from interfered data by multiple holes. Also the estimated width of line flaw has been much improved compared with original experimental data. Although proposed inverse analysis strategy is simple and easy to implement, its validity to holes and line flaw have been shown by many results that much finer image than original image have been reconstructed.

Super resolution reconstruction of infrared images based on classified dictionary learning

Science.gov (United States)

Liu, Fei; Han, Pingli; Wang, Yi; Li, Xuan; Bai, Lu; Shao, Xiaopeng

2018-05-01

Infrared images always suffer from low-resolution problems resulting from limitations of imaging devices. An economical approach to combat this problem involves reconstructing high-resolution images by reasonable methods without updating devices. Inspired by compressed sensing theory, this study presents and demonstrates a Classified Dictionary Learning method to reconstruct high-resolution infrared images. It classifies features of the samples into several reasonable clusters and trained a dictionary pair for each cluster. The optimal pair of dictionaries is chosen for each image reconstruction and therefore, more satisfactory results is achieved without the increase in computational complexity and time cost. Experiments and results demonstrated that it is a viable method for infrared images reconstruction since it improves image resolution and recovers detailed information of targets.

MO-C-18A-01: Advances in Model-Based 3D Image Reconstruction

International Nuclear Information System (INIS)

Chen, G; Pan, X; Stayman, J; Samei, E

2014-01-01

Recent years have seen the emergence of CT image reconstruction techniques that exploit physical models of the imaging system, photon statistics, and even the patient to achieve improved 3D image quality and/or reduction of radiation dose. With numerous advantages in comparison to conventional 3D filtered backprojection, such techniques bring a variety of challenges as well, including: a demanding computational load associated with sophisticated forward models and iterative optimization methods; nonlinearity and nonstationarity in image quality characteristics; a complex dependency on multiple free parameters; and the need to understand how best to incorporate prior information (including patient-specific prior images) within the reconstruction process. The advantages, however, are even greater – for example: improved image quality; reduced dose; robustness to noise and artifacts; task-specific reconstruction protocols; suitability to novel CT imaging platforms and noncircular orbits; and incorporation of known characteristics of the imager and patient that are conventionally discarded. This symposium features experts in 3D image reconstruction, image quality assessment, and the translation of such methods to emerging clinical applications. Dr. Chen will address novel methods for the incorporation of prior information in 3D and 4D CT reconstruction techniques. Dr. Pan will show recent advances in optimization-based reconstruction that enable potential reduction of dose and sampling requirements. Dr. Stayman will describe a “task-based imaging” approach that leverages models of the imaging system and patient in combination with a specification of the imaging task to optimize both the acquisition and reconstruction process. Dr. Samei will describe the development of methods for image quality assessment in such nonlinear reconstruction techniques and the use of these methods to characterize and optimize image quality and dose in a spectrum of clinical

Espaços-tempos: sentimentos errantes em fluxos dramatúrgicos

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Patrícia Leal

2015-10-01

Full Text Available O presente artigo propõe a reflexão sobre uma pesquisa acadêmico-artística em suas relações com as atividades de ensino e extensão de uma artista-docente. Focaliza a categoria de sentimento para o desenvolvimento de improvisações, a proposição cênica em dança em espaços diferenciados, neste caso Museus, e a criação numa valorização da percepção dos sentidos em fluxo, em provocações espaço-temporais. Investiga, finalmente, a pesquisa de uma linguagem escrita que favoreça a teorização sobre a linguagem da improvisação em dança. ABSTRACT The present paper discusses the relationships between an artistic-academic research, exten¬sion activities and the act of teaching of an artist-teacher. It focuses on the category of feeling, used for developing improvisations, on the exercise of improvisation dramaturgy into different spaces in dance, in this case museums, and on the creation emphasizing the senses’ percep¬tion in flow, in time-space propositions. Finally, proposes the research of a written language that evidences the approach of a theory on dance improvisation language. KEY-WORDS Feeling, contemporary, improvisation, perception , space-time

Gerenciamento de Projetos em TI: Uma Abordagem do Plano de Transição de Serviços

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Gilmar Souza Santos

2009-12-01

Full Text Available Em outsourcing de TI, os clientes exigem cada vez mais uma eficaz estratégia de implantação dos serviços contratados. Uma gestão de projetos de transição de serviços de TI apresenta resultados positivos, não somente para o sucesso do projeto, como também para que a operação com o cliente seja iniciada e mantida com credibilidade.  Este trabalho tem por objetivo apresentar algumas contribuições em projetos de implantação de serviços para provedores de TI.  Utiliza-se práticas de gestão, controle e gestão de projetos, aplicadas à gestão de serviços de TI (ITSM.  Um estudo de caso é apresentado e analisado.  Enfatiza-se no trabalho a importância de uso combinado de práticas como PMI, IPMA, ITIL e CobiT. A pesquisa conclui que projetos de transição bem elaborados garantem uma operação eficaz em termos de processos, resultados financeiros e de relacionamento do provedor com o cliente.

Pragmatic fully 3D image reconstruction for the MiCES mouse imaging PET scanner

International Nuclear Information System (INIS)

Lee, Kisung; Kinahan, Paul E; Fessler, Jeffrey A; Miyaoka, Robert S; Janes, Marie; Lewellen, Tom K

2004-01-01

We present a pragmatic approach to image reconstruction for data from the micro crystal elements system (MiCES) fully 3D mouse imaging positron emission tomography (PET) scanner under construction at the University of Washington. Our approach is modelled on fully 3D image reconstruction used in clinical PET scanners, which is based on Fourier rebinning (FORE) followed by 2D iterative image reconstruction using ordered-subsets expectation-maximization (OSEM). The use of iterative methods allows modelling of physical effects (e.g., statistical noise, detector blurring, attenuation, etc), while FORE accelerates the reconstruction process by reducing the fully 3D data to a stacked set of independent 2D sinograms. Previous investigations have indicated that non-stationary detector point-spread response effects, which are typically ignored for clinical imaging, significantly impact image quality for the MiCES scanner geometry. To model the effect of non-stationary detector blurring (DB) in the FORE+OSEM(DB) algorithm, we have added a factorized system matrix to the ASPIRE reconstruction library. Initial results indicate that the proposed approach produces an improvement in resolution without an undue increase in noise and without a significant increase in the computational burden. The impact on task performance, however, remains to be evaluated

Prior image constrained image reconstruction in emerging computed tomography applications

Science.gov (United States)

Brunner, Stephen T.

Advances have been made in computed tomography (CT), especially in the past five years, by incorporating prior images into the image reconstruction process. In this dissertation, we investigate prior image constrained image reconstruction in three emerging CT applications: dual-energy CT, multi-energy photon-counting CT, and cone-beam CT in image-guided radiation therapy. First, we investigate the application of Prior Image Constrained Compressed Sensing (PICCS) in dual-energy CT, which has been called "one of the hottest research areas in CT." Phantom and animal studies are conducted using a state-of-the-art 64-slice GE Discovery 750 HD CT scanner to investigate the extent to which PICCS can enable radiation dose reduction in material density and virtual monochromatic imaging. Second, we extend the application of PICCS from dual-energy CT to multi-energy photon-counting CT, which has been called "one of the 12 topics in CT to be critical in the next decade." Numerical simulations are conducted to generate multiple energy bin images for a photon-counting CT acquisition and to investigate the extent to which PICCS can enable radiation dose efficiency improvement. Third, we investigate the performance of a newly proposed prior image constrained scatter correction technique to correct scatter-induced shading artifacts in cone-beam CT, which, when used in image-guided radiation therapy procedures, can assist in patient localization, and potentially, dose verification and adaptive radiation therapy. Phantom studies are conducted using a Varian 2100 EX system with an on-board imager to investigate the extent to which the prior image constrained scatter correction technique can mitigate scatter-induced shading artifacts in cone-beam CT. Results show that these prior image constrained image reconstruction techniques can reduce radiation dose in dual-energy CT by 50% in phantom and animal studies in material density and virtual monochromatic imaging, can lead to radiation

Serial section scanning electron microscopy (S3EM) on silicon wafers for ultra-structural volume imaging of cells and tissues.

Science.gov (United States)

Horstmann, Heinz; Körber, Christoph; Sätzler, Kurt; Aydin, Daniel; Kuner, Thomas

2012-01-01

High resolution, three-dimensional (3D) representations of cellular ultrastructure are essential for structure function studies in all areas of cell biology. While limited subcellular volumes have been routinely examined using serial section transmission electron microscopy (ssTEM), complete ultrastructural reconstructions of large volumes, entire cells or even tissue are difficult to achieve using ssTEM. Here, we introduce a novel approach combining serial sectioning of tissue with scanning electron microscopy (SEM) using a conductive silicon wafer as a support. Ribbons containing hundreds of 35 nm thick sections can be generated and imaged on the wafer at a lateral pixel resolution of 3.7 nm by recording the backscattered electrons with the in-lens detector of the SEM. The resulting electron micrographs are qualitatively comparable to those obtained by conventional TEM. S(3)EM images of the same region of interest in consecutive sections can be used for 3D reconstructions of large structures. We demonstrate the potential of this approach by reconstructing a 31.7 µm(3) volume of a calyx of Held presynaptic terminal. The approach introduced here, Serial Section SEM (S(3)EM), for the first time provides the possibility to obtain 3D ultrastructure of large volumes with high resolution and to selectively and repetitively home in on structures of interest. S(3)EM accelerates process duration, is amenable to full automation and can be implemented with standard instrumentation.

Serial section scanning electron microscopy (S3EM on silicon wafers for ultra-structural volume imaging of cells and tissues.

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Heinz Horstmann

Full Text Available High resolution, three-dimensional (3D representations of cellular ultrastructure are essential for structure function studies in all areas of cell biology. While limited subcellular volumes have been routinely examined using serial section transmission electron microscopy (ssTEM, complete ultrastructural reconstructions of large volumes, entire cells or even tissue are difficult to achieve using ssTEM. Here, we introduce a novel approach combining serial sectioning of tissue with scanning electron microscopy (SEM using a conductive silicon wafer as a support. Ribbons containing hundreds of 35 nm thick sections can be generated and imaged on the wafer at a lateral pixel resolution of 3.7 nm by recording the backscattered electrons with the in-lens detector of the SEM. The resulting electron micrographs are qualitatively comparable to those obtained by conventional TEM. S(3EM images of the same region of interest in consecutive sections can be used for 3D reconstructions of large structures. We demonstrate the potential of this approach by reconstructing a 31.7 µm(3 volume of a calyx of Held presynaptic terminal. The approach introduced here, Serial Section SEM (S(3EM, for the first time provides the possibility to obtain 3D ultrastructure of large volumes with high resolution and to selectively and repetitively home in on structures of interest. S(3EM accelerates process duration, is amenable to full automation and can be implemented with standard instrumentation.

3D Reconstruction of NMR Images by LabVIEW

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Peter IZAK

2007-01-01

Full Text Available This paper introduces the experiment of 3D reconstruction NMR images via virtual instrumentation - LabVIEW. The main idea is based on marching cubes algorithm and image processing implemented by module of Vision assistant. The two dimensional images shot by the magnetic resonance device provide information about the surface properties of human body. There is implemented algorithm which can be used for 3D reconstruction of magnetic resonance images in biomedical application.

Longitudinal and transverse digital image reconstruction with a tomographic scanner

International Nuclear Information System (INIS)

Pickens, D.R.; Price, R.R.; Erickson, J.J.; Patton, J.A.; Partain, C.L.; Rollo, F.D.

1981-01-01

A Siemens Gammasonics PHO/CON-192 Multiplane Imager is interfaced to a digital computer for the purpose of performing tomographic reconstructions from the data collected during a single scan. Data from the two moving gamma cameras as well as camera position information are sent to the computer by an interface designed in the authors' laboratory. Backprojection reconstruction is implemented by the computer. Longitudinal images in whole-body format as well as smaller formats are reconstructed for up to six planes simultaneously from the list mode data. Transverse reconstructions are demonstrated for 201 T1 myocardial scans. Post-reconstruction deconvolution processing to remove the blur artifact (characteristic of focal plane tomography) is applied to a multiplane phantom. Digital data acquisition of data and reconstruction of images are practical, and can extend the usefulness of the machine when compared with the film output (author)

Moralidades e atos de fala em serviços de apoio emocional: modalidades laicas da confissão e do testemunho?

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Isis Ribeiro Martins

Full Text Available Resumo Este artigo discute algumas dimensões de minha pesquisa sobre escuta e gestão do sofrimento em serviços de apoio emocional. Focalizei em outro texto as narrativas morais e técnicas de interação como aspectos constitutivos da atuação de tais serviços. Tive como objeto o Centro de Valorização da Vida (CVV, no Rio de Janeiro, e o SOS Voz Amiga, em Lisboa. Aqui procuro dar ênfase às fontes dessas moralidades, procurando investigar os elementos de longa duração que concorreram para que elas se estruturassem. Para isso, dirijo meus interesses especificamente para os atos de fala, buscando proximidades e ressonâncias entre os métodos do CVV e as práticas da confissão e do testemunho.

Enhanced imaging of microcalcifications in digital breast tomosynthesis through improved image-reconstruction algorithms

International Nuclear Information System (INIS)

Sidky, Emil Y.; Pan Xiaochuan; Reiser, Ingrid S.; Nishikawa, Robert M.; Moore, Richard H.; Kopans, Daniel B.

2009-01-01

Purpose: The authors develop a practical, iterative algorithm for image-reconstruction in undersampled tomographic systems, such as digital breast tomosynthesis (DBT). Methods: The algorithm controls image regularity by minimizing the image total p variation (TpV), a function that reduces to the total variation when p=1.0 or the image roughness when p=2.0. Constraints on the image, such as image positivity and estimated projection-data tolerance, are enforced by projection onto convex sets. The fact that the tomographic system is undersampled translates to the mathematical property that many widely varied resultant volumes may correspond to a given data tolerance. Thus the application of image regularity serves two purposes: (1) Reduction in the number of resultant volumes out of those allowed by fixing the data tolerance, finding the minimum image TpV for fixed data tolerance, and (2) traditional regularization, sacrificing data fidelity for higher image regularity. The present algorithm allows for this dual role of image regularity in undersampled tomography. Results: The proposed image-reconstruction algorithm is applied to three clinical DBT data sets. The DBT cases include one with microcalcifications and two with masses. Conclusions: Results indicate that there may be a substantial advantage in using the present image-reconstruction algorithm for microcalcification imaging.

Choice of reconstructed tissue properties affects interpretation of lung EIT images.

Science.gov (United States)

Grychtol, Bartłomiej; Adler, Andy

2014-06-01

Electrical impedance tomography (EIT) estimates an image of change in electrical properties within a body from stimulations and measurements at surface electrodes. There is significant interest in EIT as a tool to monitor and guide ventilation therapy in mechanically ventilated patients. In lung EIT, the EIT inverse problem is commonly linearized and only changes in electrical properties are reconstructed. Early algorithms reconstructed changes in resistivity, while most recent work using the finite element method reconstructs conductivity. Recently, we demonstrated that EIT images of ventilation can be misleading if the electrical contrasts within the thorax are not taken into account during the image reconstruction process. In this paper, we explore the effect of the choice of the reconstructed electrical properties (resistivity or conductivity) on the resulting EIT images. We show in simulation and experimental data that EIT images reconstructed with the same algorithm but with different parametrizations lead to large and clinically significant differences in the resulting images, which persist even after attempts to eliminate the impact of the parameter choice by recovering volume changes from the EIT images. Since there is no consensus among the most popular reconstruction algorithms and devices regarding the parametrization, this finding has implications for potential clinical use of EIT. We propose a program of research to develop reconstruction techniques that account for both the relationship between air volume and electrical properties of the lung and artefacts introduced by the linearization.

Choice of reconstructed tissue properties affects interpretation of lung EIT images

International Nuclear Information System (INIS)

Grychtol, Bartłomiej; Adler, Andy

2014-01-01

Electrical impedance tomography (EIT) estimates an image of change in electrical properties within a body from stimulations and measurements at surface electrodes. There is significant interest in EIT as a tool to monitor and guide ventilation therapy in mechanically ventilated patients. In lung EIT, the EIT inverse problem is commonly linearized and only changes in electrical properties are reconstructed. Early algorithms reconstructed changes in resistivity, while most recent work using the finite element method reconstructs conductivity. Recently, we demonstrated that EIT images of ventilation can be misleading if the electrical contrasts within the thorax are not taken into account during the image reconstruction process. In this paper, we explore the effect of the choice of the reconstructed electrical properties (resistivity or conductivity) on the resulting EIT images. We show in simulation and experimental data that EIT images reconstructed with the same algorithm but with different parametrizations lead to large and clinically significant differences in the resulting images, which persist even after attempts to eliminate the impact of the parameter choice by recovering volume changes from the EIT images. Since there is no consensus among the most popular reconstruction algorithms and devices regarding the parametrization, this finding has implications for potential clinical use of EIT. We propose a program of research to develop reconstruction techniques that account for both the relationship between air volume and electrical properties of the lung and artefacts introduced by the linearization. (paper)

Evaluation of imaging protocol for ECT based on CS image reconstruction algorithm

International Nuclear Information System (INIS)

Zhou Xiaolin; Yun Mingkai; Cao Xuexiang; Liu Shuangquan; Wang Lu; Huang Xianchao; Wei Long

2014-01-01

Single-photon emission computerized tomography and positron emission tomography are essential medical imaging tools, for which the sampling angle number and scan time should be carefully chosen to give a good compromise between image quality and radiopharmaceutical dose. In this study, the image quality of different acquisition protocols was evaluated via varied angle number and count number per angle with Monte Carlo simulation data. It was shown that, when similar imaging counts were used, the factor of acquisition counts was more important than that of the sampling number in emission computerized tomography. To further reduce the activity requirement and the scan duration, an iterative image reconstruction algorithm for limited-view and low-dose tomography based on compressed sensing theory has been developed. The total variation regulation was added to the reconstruction process to improve the signal to noise Ratio and reduce artifacts caused by the limited angle sampling. Maximization of the maximum likelihood of the estimated image and the measured data and minimization of the total variation of the image are alternatively implemented. By using this advanced algorithm, the reconstruction process is able to achieve image quality matching or exceed that of normal scans with only half of the injection radiopharmaceutical dose. (authors)

Reconstruction of a ring applicator using CT imaging: impact of the reconstruction method and applicator orientation

International Nuclear Information System (INIS)

Hellebust, Taran Paulsen; Tanderup, Kari; Bergstrand, Eva Stabell; Knutsen, Bjoern Helge; Roeislien, Jo; Olsen, Dag Rune

2007-01-01

The purpose of this study is to investigate whether the method of applicator reconstruction and/or the applicator orientation influence the dose calculation to points around the applicator for brachytherapy of cervical cancer with CT-based treatment planning. A phantom, containing a fixed ring applicator set and six lead pellets representing dose points, was used. The phantom was CT scanned with the ring applicator at four different angles related to the image plane. In each scan the applicator was reconstructed by three methods: (1) direct reconstruction in each image (DR) (2) reconstruction in multiplanar reconstructed images (MPR) and (3) library plans, using pre-defined applicator geometry (LIB). The doses to the lead pellets were calculated. The relative standard deviation (SD) for all reconstruction methods was less than 3.7% in the dose points. The relative SD for the LIB method was significantly lower (p < 0.05) than for the DR and MPR methods for all but two points. All applicator orientations had similar dose calculation reproducibility. Using library plans for applicator reconstruction gives the most reproducible dose calculation. However, with restrictive guidelines for applicator reconstruction the uncertainties for all methods are low compared to other factors influencing the accuracy of brachytherapy

Definição de características críticas na implementação de serviços customizados em massa

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Gabriel Vidor

2014-12-01

Full Text Available O objetivo deste trabalho é definir quais características de customização em massa (CM presentes em sistemas de manufatura podem ser priorizadas no projeto de serviços customizados em massa. Propõe-se uma classificação de importância de características de customização a serem priorizadas na implementação de serviços customizados, tendo-se como critérios os habilitadores de CM e os habilitadores de serviços combinados através de uma matriz de relacionamentos característica do QFD (desdobramento da função qualidade e corrigidos, a partir da ponderação dos gestores do serviço, usando-se um procedimento de QFD reverso. No final do estudo foi possível determinar as características prioritárias do serviço customizado em massa. Dois casos de estudo foram realizados para exemplificar a operacionalização da metodologia, um em uma distribuidora de energia elétrica e outro em uma universidade privada.

Aspectos relevantes na definção estrategica para prestação de serviços virtuais em empresas de contabilidade: um estudo de caso

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Fabiano Maury Raupp

2004-03-01

Full Text Available O objetivo deste artigo consiste em verificar aspectos a serem considerados na definição estratégica para prestação de serviços virtuais em uma empresa de contabilidade. No Brasil há poucos estudos publicados sobre o uso dos serviços virtuais em empresas contábeis e os resultados alcançados. Assim, por meio de um estudo de caso, em uma empresa de contabilidade que está em fase de implantação de um sistema de serviços virtuais, fez-se uma descrição das etapas de sua implantação. Em seguida, procedeu-se uma análise dos seus aspectos facilitadores e dificultadores. Por fim, foram considerados os fatores observados por esta empresa na definição estratégica, visando alcançar o sucesso desejado com esta nova modalidade de prestação de serviços contábeis.

Fan-beam and cone-beam image reconstruction via filtering the backprojection image of differentiated projection data

International Nuclear Information System (INIS)

Zhuang Tingliang; Leng Shuai; Nett, Brian E; Chen Guanghong

2004-01-01

In this paper, a new image reconstruction scheme is presented based on Tuy's cone-beam inversion scheme and its fan-beam counterpart. It is demonstrated that Tuy's inversion scheme may be used to derive a new framework for fan-beam and cone-beam image reconstruction. In this new framework, images are reconstructed via filtering the backprojection image of differentiated projection data. The new framework is mathematically exact and is applicable to a general source trajectory provided the Tuy data sufficiency condition is satisfied. By choosing a piece-wise constant function for one of the components in the factorized weighting function, the filtering kernel is one dimensional, viz. the filtering process is along a straight line. Thus, the derived image reconstruction algorithm is mathematically exact and efficient. In the cone-beam case, the derived reconstruction algorithm is applicable to a large class of source trajectories where the pi-lines or the generalized pi-lines exist. In addition, the new reconstruction scheme survives the super-short scan mode in both the fan-beam and cone-beam cases provided the data are not transversely truncated. Numerical simulations were conducted to validate the new reconstruction scheme for the fan-beam case

Reconstruction of CT images by the Bayes- back projection method

CERN Document Server

Haruyama, M; Takase, M; Tobita, H

2002-01-01

In the course of research on quantitative assay of non-destructive measurement of radioactive waste, the have developed a unique program based on the Bayesian theory for reconstruction of transmission computed tomography (TCT) image. The reconstruction of cross-section images in the CT technology usually employs the Filtered Back Projection method. The new imaging reconstruction program reported here is based on the Bayesian Back Projection method, and it has a function of iterative improvement images by every step of measurement. Namely, this method has the capability of prompt display of a cross-section image corresponding to each angled projection data from every measurement. Hence, it is possible to observe an improved cross-section view by reflecting each projection data in almost real time. From the basic theory of Baysian Back Projection method, it can be not only applied to CT types of 1st, 2nd, and 3rd generation. This reported deals with a reconstruction program of cross-section images in the CT of ...

Software for 3D diagnostic image reconstruction and analysis

International Nuclear Information System (INIS)

Taton, G.; Rokita, E.; Sierzega, M.; Klek, S.; Kulig, J.; Urbanik, A.

2005-01-01

Recent advances in computer technologies have opened new frontiers in medical diagnostics. Interesting possibilities are the use of three-dimensional (3D) imaging and the combination of images from different modalities. Software prepared in our laboratories devoted to 3D image reconstruction and analysis from computed tomography and ultrasonography is presented. In developing our software it was assumed that it should be applicable in standard medical practice, i.e. it should work effectively with a PC. An additional feature is the possibility of combining 3D images from different modalities. The reconstruction and data processing can be conducted using a standard PC, so low investment costs result in the introduction of advanced and useful diagnostic possibilities. The program was tested on a PC using DICOM data from computed tomography and TIFF files obtained from a 3D ultrasound system. The results of the anthropomorphic phantom and patient data were taken into consideration. A new approach was used to achieve spatial correlation of two independently obtained 3D images. The method relies on the use of four pairs of markers within the regions under consideration. The user selects the markers manually and the computer calculates the transformations necessary for coupling the images. The main software feature is the possibility of 3D image reconstruction from a series of two-dimensional (2D) images. The reconstructed 3D image can be: (1) viewed with the most popular methods of 3D image viewing, (2) filtered and processed to improve image quality, (3) analyzed quantitatively (geometrical measurements), and (4) coupled with another, independently acquired 3D image. The reconstructed and processed 3D image can be stored at every stage of image processing. The overall software performance was good considering the relatively low costs of the hardware used and the huge data sets processed. The program can be freely used and tested (source code and program available at

Reconstruction of Optical Thickness from Hoffman Modulation Contrast Images

DEFF Research Database (Denmark)

Olsen, Niels Holm; Sporring, Jon; Nielsen, Mads

2003-01-01

Hoffman microscopy imaging systems are part of numerous fertility clinics world-wide. We discuss the physics of the Hoffman imaging system from optical thickness to image intensity, implement a simple, yet fast, reconstruction algorithm using Fast Fourier Transformation and discuss the usability...... of the method on a number of cells from a human embryo. Novelty is identifying the non-linearity of a typical Hoffman imaging system, and the application of Fourier Transformation to reconstruct the optical thickness....

PROMISE: parallel-imaging and compressed-sensing reconstruction of multicontrast imaging using SharablE information.

Science.gov (United States)

Gong, Enhao; Huang, Feng; Ying, Kui; Wu, Wenchuan; Wang, Shi; Yuan, Chun

2015-02-01

A typical clinical MR examination includes multiple scans to acquire images with different contrasts for complementary diagnostic information. The multicontrast scheme requires long scanning time. The combination of partially parallel imaging and compressed sensing (CS-PPI) has been used to reconstruct accelerated scans. However, there are several unsolved problems in existing methods. The target of this work is to improve existing CS-PPI methods for multicontrast imaging, especially for two-dimensional imaging. If the same field of view is scanned in multicontrast imaging, there is significant amount of sharable information. It is proposed in this study to use manifold sharable information among multicontrast images to enhance CS-PPI in a sequential way. Coil sensitivity information and structure based adaptive regularization, which were extracted from previously reconstructed images, were applied to enhance the following reconstructions. The proposed method is called Parallel-imaging and compressed-sensing Reconstruction Of Multicontrast Imaging using SharablE information (PROMISE). Using L1 -SPIRiT as a CS-PPI example, results on multicontrast brain and carotid scans demonstrated that lower error level and better detail preservation can be achieved by exploiting manifold sharable information. Besides, the privilege of PROMISE still exists while there is interscan motion. Using the sharable information among multicontrast images can enhance CS-PPI with tolerance to motions. © 2014 Wiley Periodicals, Inc.

A EXPERIÊNCIA DE CONCILIAÇÃO DOS SABERES PRODUZIDOS EM SITUAÇÃO DE TRABALHO COM OS SABERES PRODUZIDOS NA ACADEMIA: O CURSO CEF-PROFAE/UFMG

OpenAIRE

Schwartz, Yves; Silva, Jurandir Soares da

2010-01-01

A pesquisa se desenvolve no departamento de Ergologia da Universidade de Aix-En-Provence e está em fase de finalização. A questão principal é compreender a forma como as trabalhadoras-alunas atendentes de enfermagem do CEFPROFAE/CP-FaE-UFMG, interrogaram e combinaram os saberes disciplinares e os saberes desenvolvidos nas atividades. Saberes estes construídos em situação de trabalho e em outros espaços de socialização (saberes em aderência) com os saberes acadêmicos (saberes em desaderência)....

Optical image reconstruction using DC data: simulations and experiments

International Nuclear Information System (INIS)

Huabei Jiang; Paulsen, K.D.; Oesterberg, U.L.

1996-01-01

In this paper, we explore optical image formation using a diffusion approximation of light propagation in tissue which is modelled with a finite-element method for optically heterogeneous media. We demonstrate successful image reconstruction based on absolute experimental DC data obtained with a continuous wave 633 nm He-Ne laser system and a 751 nm diode laser system in laboratory phantoms having two optically distinct regions. The experimental systems used exploit a tomographic type of data collection scheme that provides information from which a spatially variable optical property map is deduced. Reconstruction of scattering coefficient only and simultaneous reconstruction of both scattering and absorption profiles in tissue-like phantoms are obtained from measured and simulated data. Images with different contrast levels between the heterogeneity and the background are also reported and the results show that although it is possible to obtain qualitative visual information on the location and size of a heterogeneity, it may not be possible to quantitatively resolve contrast levels or optical properties using reconstructions from DC data only. Sensitivity of image reconstruction to noise in the measurement data is investigated through simulations. The application of boundary constraints has also been addressed. (author)

Accelerated Compressed Sensing Based CT Image Reconstruction.

Science.gov (United States)

Hashemi, SayedMasoud; Beheshti, Soosan; Gill, Patrick R; Paul, Narinder S; Cobbold, Richard S C

2015-01-01

In X-ray computed tomography (CT) an important objective is to reduce the radiation dose without significantly degrading the image quality. Compressed sensing (CS) enables the radiation dose to be reduced by producing diagnostic images from a limited number of projections. However, conventional CS-based algorithms are computationally intensive and time-consuming. We propose a new algorithm that accelerates the CS-based reconstruction by using a fast pseudopolar Fourier based Radon transform and rebinning the diverging fan beams to parallel beams. The reconstruction process is analyzed using a maximum-a-posterior approach, which is transformed into a weighted CS problem. The weights involved in the proposed model are calculated based on the statistical characteristics of the reconstruction process, which is formulated in terms of the measurement noise and rebinning interpolation error. Therefore, the proposed method not only accelerates the reconstruction, but also removes the rebinning and interpolation errors. Simulation results are shown for phantoms and a patient. For example, a 512 × 512 Shepp-Logan phantom when reconstructed from 128 rebinned projections using a conventional CS method had 10% error, whereas with the proposed method the reconstruction error was less than 1%. Moreover, computation times of less than 30 sec were obtained using a standard desktop computer without numerical optimization.

Accelerated Compressed Sensing Based CT Image Reconstruction

Directory of Open Access Journals (Sweden)

SayedMasoud Hashemi

2015-01-01

Full Text Available In X-ray computed tomography (CT an important objective is to reduce the radiation dose without significantly degrading the image quality. Compressed sensing (CS enables the radiation dose to be reduced by producing diagnostic images from a limited number of projections. However, conventional CS-based algorithms are computationally intensive and time-consuming. We propose a new algorithm that accelerates the CS-based reconstruction by using a fast pseudopolar Fourier based Radon transform and rebinning the diverging fan beams to parallel beams. The reconstruction process is analyzed using a maximum-a-posterior approach, which is transformed into a weighted CS problem. The weights involved in the proposed model are calculated based on the statistical characteristics of the reconstruction process, which is formulated in terms of the measurement noise and rebinning interpolation error. Therefore, the proposed method not only accelerates the reconstruction, but also removes the rebinning and interpolation errors. Simulation results are shown for phantoms and a patient. For example, a 512 × 512 Shepp-Logan phantom when reconstructed from 128 rebinned projections using a conventional CS method had 10% error, whereas with the proposed method the reconstruction error was less than 1%. Moreover, computation times of less than 30 sec were obtained using a standard desktop computer without numerical optimization.

Situação do gerenciamento de efluentes de processamento radiográfico em serviços de saúde

Directory of Open Access Journals (Sweden)

Jamyle Calencio Grigoletto

2011-10-01

Full Text Available OBJETIVO: O objetivo deste estudo foi identificar a situação do gerenciamento de efluentes radiográficos em serviços de diagnóstico por imagem, em relação ao manuseio, acondicionamento, armazenamento, tratamento e descarte desses efluentes. MATERIAIS E MÉTODOS: Tratou-se de estudo descritivo e exploratório, realizado por meio de entrevistas baseadas em roteiro com perguntas semiestruturadas, realizadas no período de fevereiro a maio de 2009. A investigação foi realizada em 12 serviços de saúde humana e animal de radiodiagnóstico de Ribeirão Preto, SP, Brasil, escolhidos aleatoriamente por sorteio por meio do programa Statistical Package for the Social Sciences, versão 10.0. RESULTADOS: De acordo com os entrevistados, 16,66% dos serviços descartavam revelador usado na rede pública de esgoto, sem tratamento prévio, 8,33% descartavam o fixador e 75% descartavam a água de lavagem de filmes diretamente no esgoto, sem tratamento prévio. CONCLUSÃO: Os resultados deste estudo evidenciam necessidade de maior fiscalização, controle e monitoramento, pela vigilância ambiental e sanitária, para com os efluentes radiográficos, estimulando tratamento antes do descarte, minimizando o impacto à saúde pública e ao ambiente.

Electro-optical system for the high speed reconstruction of computed tomography images

International Nuclear Information System (INIS)

Tresp, V.

1989-01-01

An electro-optical system for the high-speed reconstruction of computed tomography (CT) images has been built and studied. The system is capable of reconstructing high-contrast and high-resolution images at video rate (30 images per second), which is more than two orders of magnitude faster than the reconstruction rate achieved by special purpose digital computers used in commercial CT systems. The filtered back-projection algorithm which was implemented in the reconstruction system requires the filtering of all projections with a prescribed filter function. A space-integrating acousto-optical convolver, a surface acoustic wave filter and a digital finite-impulse response filter were used for this purpose and their performances were compared. The second part of the reconstruction, the back projection of the filtered projections, is computationally very expensive. An optical back projector has been built which maps the filtered projections onto the two-dimensional image space using an anamorphic lens system and a prism image rotator. The reconstructed image is viewed by a video camera, routed through a real-time image-enhancement system, and displayed on a TV monitor. The system reconstructs parallel-beam projection data, and in a modified version, is also capable of reconstructing fan-beam projection data. This extension is important since the latter are the kind of projection data actually acquired in high-speed X-ray CT scanners. The reconstruction system was tested by reconstructing precomputed projection data of phantom images. These were stored in a special purpose projection memory and transmitted to the reconstruction system as an electronic signal. In this way, a projection measurement system that acquires projections sequentially was simulated

PESQUISA CIENTÍFICA EM MARKETING DE SERVIÇOS NO BRASIL

Directory of Open Access Journals (Sweden)

Marcio Oliveira Mota

2017-08-01

Full Text Available Este estudo objetiva investigar a produção no campo de marketing de serviços no Brasil. Para isto foi realizado um estudo exploratório de caráter qualitativo e quantitativo por meio de um levantamento bibliométrico. Foram analisados 206 artigos publicados nos congressos EnANPAD e EMA e em periódicos A2 e B1 Qualis/Capes nacionais no ano de 2013. Os objetivos específicos são: 1 levantar a evolução histórica do marketing de serviços no Brasil, por meio da análise dos principais artigos produzidos, de maneira a erigir o estado da arte do tema no país; 2 identificar as principais categorias teóricas pesquisadas e; 3 sugerir tendências de estudo à área com base na produtividade nacional, observando-se, igualmente, o contexto internacional. Dentre os achados destacam-se: baixa originalidade dos estudos nacionais, ausência de posicionamento teórico nos trabalhos, declínio da produção acadêmica e forte ligação entre marketing de serviços e áreas de marketing de relacionamento e comportamento do consumidor. Ao final, são observadas tendências para pesquisas futuras.

Does thorax EIT image analysis depend on the image reconstruction method?

Science.gov (United States)

Zhao, Zhanqi; Frerichs, Inéz; Pulletz, Sven; Müller-Lisse, Ullrich; Möller, Knut

2013-04-01

Different methods were proposed to analyze the resulting images of electrical impedance tomography (EIT) measurements during ventilation. The aim of our study was to examine if the analysis methods based on back-projection deliver the same results when applied on images based on other reconstruction algorithms. Seven mechanically ventilated patients with ARDS were examined by EIT. The thorax contours were determined from the routine CT images. EIT raw data was reconstructed offline with (1) filtered back-projection with circular forward model (BPC); (2) GREIT reconstruction method with circular forward model (GREITC) and (3) GREIT with individual thorax geometry (GREITT). Three parameters were calculated on the resulting images: linearity, global ventilation distribution and regional ventilation distribution. The results of linearity test are 5.03±2.45, 4.66±2.25 and 5.32±2.30 for BPC, GREITC and GREITT, respectively (median ±interquartile range). The differences among the three methods are not significant (p = 0.93, Kruskal-Wallis test). The proportions of ventilation in the right lung are 0.58±0.17, 0.59±0.20 and 0.59±0.25 for BPC, GREITC and GREITT, respectively (p = 0.98). The differences of the GI index based on different reconstruction methods (0.53±0.16, 0.51±0.25 and 0.54±0.16 for BPC, GREITC and GREITT, respectively) are also not significant (p = 0.93). We conclude that the parameters developed for images generated with GREITT are comparable with filtered back-projection and GREITC.

Accelerated gradient methods for total-variation-based CT image reconstruction

Energy Technology Data Exchange (ETDEWEB)

Joergensen, Jakob H.; Hansen, Per Christian [Technical Univ. of Denmark, Lyngby (Denmark). Dept. of Informatics and Mathematical Modeling; Jensen, Tobias L.; Jensen, Soeren H. [Aalborg Univ. (Denmark). Dept. of Electronic Systems; Sidky, Emil Y.; Pan, Xiaochuan [Chicago Univ., Chicago, IL (United States). Dept. of Radiology

2011-07-01

Total-variation (TV)-based CT image reconstruction has shown experimentally to be capable of producing accurate reconstructions from sparse-view data. In particular TV-based reconstruction is well suited for images with piecewise nearly constant regions. Computationally, however, TV-based reconstruction is demanding, especially for 3D imaging, and the reconstruction from clinical data sets is far from being close to real-time. This is undesirable from a clinical perspective, and thus there is an incentive to accelerate the solution of the underlying optimization problem. The TV reconstruction can in principle be found by any optimization method, but in practice the large scale of the systems arising in CT image reconstruction preclude the use of memory-intensive methods such as Newton's method. The simple gradient method has much lower memory requirements, but exhibits prohibitively slow convergence. In the present work we address the question of how to reduce the number of gradient method iterations needed to achieve a high-accuracy TV reconstruction. We consider the use of two accelerated gradient-based methods, GPBB and UPN, to solve the 3D-TV minimization problem in CT image reconstruction. The former incorporates several heuristics from the optimization literature such as Barzilai-Borwein (BB) step size selection and nonmonotone line search. The latter uses a cleverly chosen sequence of auxiliary points to achieve a better convergence rate. The methods are memory efficient and equipped with a stopping criterion to ensure that the TV reconstruction has indeed been found. An implementation of the methods (in C with interface to Matlab) is available for download from http://www2.imm.dtu.dk/~pch/TVReg/. We compare the proposed methods with the standard gradient method, applied to a 3D test problem with synthetic few-view data. We find experimentally that for realistic parameters the proposed methods significantly outperform the standard gradient method. (orig.)

GPU-accelerated Kernel Regression Reconstruction for Freehand 3D Ultrasound Imaging.

Science.gov (United States)

Wen, Tiexiang; Li, Ling; Zhu, Qingsong; Qin, Wenjian; Gu, Jia; Yang, Feng; Xie, Yaoqin

2017-07-01

Volume reconstruction method plays an important role in improving reconstructed volumetric image quality for freehand three-dimensional (3D) ultrasound imaging. By utilizing the capability of programmable graphics processing unit (GPU), we can achieve a real-time incremental volume reconstruction at a speed of 25-50 frames per second (fps). After incremental reconstruction and visualization, hole-filling is performed on GPU to fill remaining empty voxels. However, traditional pixel nearest neighbor-based hole-filling fails to reconstruct volume with high image quality. On the contrary, the kernel regression provides an accurate volume reconstruction method for 3D ultrasound imaging but with the cost of heavy computational complexity. In this paper, a GPU-based fast kernel regression method is proposed for high-quality volume after the incremental reconstruction of freehand ultrasound. The experimental results show that improved image quality for speckle reduction and details preservation can be obtained with the parameter setting of kernel window size of [Formula: see text] and kernel bandwidth of 1.0. The computational performance of the proposed GPU-based method can be over 200 times faster than that on central processing unit (CPU), and the volume with size of 50 million voxels in our experiment can be reconstructed within 10 seconds.

Usefulness of three dimensional reconstructive images for thoracic trauma induced fractures

Energy Technology Data Exchange (ETDEWEB)

Koh, Kyung Hun; Kim, Dong Hun; Kim, Young Sook; Byun, Joo Nam [Chosun University Hospital, Gwangju (Korea, Republic of)

2006-09-15

We wanted to evaluate the usefulness of three-dimensional reconstructive images using multidetector computed tomography (MDCT) for thoracic traumatic patients visiting emergency room. 76 patients with fractures of the 105 patients who visited our emergency room with complaints of thoracic trauma were analyzed retrospectively. All the patients had thoracic MDCT performed and the three-dimensional reconstructive images were taken. The fractures were confirmed by axial CT, the clinical information, whole body bone scanning and the multiplanar reformation images. Plain x-ray images were analyzed by the fractured sites in a blind comparison of two radiologists' readings, and then that finding was compared with the axial CT scans and the three-dimensional reconstructive images. The fracture sites were rib (n 68), sternum (n = 14), clavicle (n = 6), scapula (n = 3), spine (n = 5) and combined fractures (n = 14). Plain x-ray and axial CT scans had a correspondency of 0.555 for the rib fractures. Axial CT scans and the three-dimensional reconstructive images had a correspondency of .952. For sternal fractures, those values were 0.692 and 0.928, respectively. The axial CT scans and three-dimensional reconstructive images showed sensitivities of 94% and 91% for rib and other fractures, respectively, and 93% and 100% for sternal fracture, respectively. Three-dimensional reconstructive image had an especially high sensitivity for the diagnosis of sternal fracture. While evaluating thoracic trauma at the emergency room, the three-dimensional reconstructive image was useful to easily diagnose the extent of fracture and it was very sensitive for detecting sternal fracture.

Usefulness of three dimensional reconstructive images for thoracic trauma induced fractures

International Nuclear Information System (INIS)

Koh, Kyung Hun; Kim, Dong Hun; Kim, Young Sook; Byun, Joo Nam

2006-01-01

We wanted to evaluate the usefulness of three-dimensional reconstructive images using multidetector computed tomography (MDCT) for thoracic traumatic patients visiting emergency room. 76 patients with fractures of the 105 patients who visited our emergency room with complaints of thoracic trauma were analyzed retrospectively. All the patients had thoracic MDCT performed and the three-dimensional reconstructive images were taken. The fractures were confirmed by axial CT, the clinical information, whole body bone scanning and the multiplanar reformation images. Plain x-ray images were analyzed by the fractured sites in a blind comparison of two radiologists' readings, and then that finding was compared with the axial CT scans and the three-dimensional reconstructive images. The fracture sites were rib (n 68), sternum (n = 14), clavicle (n = 6), scapula (n = 3), spine (n = 5) and combined fractures (n = 14). Plain x-ray and axial CT scans had a correspondency of 0.555 for the rib fractures. Axial CT scans and the three-dimensional reconstructive images had a correspondency of .952. For sternal fractures, those values were 0.692 and 0.928, respectively. The axial CT scans and three-dimensional reconstructive images showed sensitivities of 94% and 91% for rib and other fractures, respectively, and 93% and 100% for sternal fracture, respectively. Three-dimensional reconstructive image had an especially high sensitivity for the diagnosis of sternal fracture. While evaluating thoracic trauma at the emergency room, the three-dimensional reconstructive image was useful to easily diagnose the extent of fracture and it was very sensitive for detecting sternal fracture

Fast implementations of reconstruction-based scatter compensation in fully 3D SPECT image reconstruction

International Nuclear Information System (INIS)

Kadrmas, Dan J.; Karimi, Seemeen S.; Frey, Eric C.; Tsui, Benjamin M.W.

1998-01-01

Accurate scatter compensation in SPECT can be performed by modelling the scatter response function during the reconstruction process. This method is called reconstruction-based scatter compensation (RBSC). It has been shown that RBSC has a number of advantages over other methods of compensating for scatter, but using RBSC for fully 3D compensation has resulted in prohibitively long reconstruction times. In this work we propose two new methods that can be used in conjunction with existing methods to achieve marked reductions in RBSC reconstruction times. The first method, coarse-grid scatter modelling, significantly accelerates the scatter model by exploiting the fact that scatter is dominated by low-frequency information. The second method, intermittent RBSC, further accelerates the reconstruction process by limiting the number of iterations during which scatter is modelled. The fast implementations were evaluated using a Monte Carlo simulated experiment of the 3D MCAT phantom with 99m Tc tracer, and also using experimentally acquired data with 201 Tl tracer. Results indicated that these fast methods can reconstruct, with fully 3D compensation, images very similar to those obtained using standard RBSC methods, and in reconstruction times that are an order of magnitude shorter. Using these methods, fully 3D iterative reconstruction with RBSC can be performed well within the realm of clinically realistic times (under 10 minutes for 64x64x24 image reconstruction). (author)

Parallel Algorithm for Reconstruction of TAC Images

International Nuclear Information System (INIS)

Vidal Gimeno, V.

2012-01-01

The algebraic reconstruction methods are based on solving a system of linear equations. In a previous study, was used and showed as the PETSc library, was and is a scientific computing tool, which facilitates and enables the optimal use of a computer system in the image reconstruction process.

A tensor-based dictionary learning approach to tomographic image reconstruction

DEFF Research Database (Denmark)

Soltani, Sara; Kilmer, Misha E.; Hansen, Per Christian

2016-01-01

We consider tomographic reconstruction using priors in the form of a dictionary learned from training images. The reconstruction has two stages: first we construct a tensor dictionary prior from our training data, and then we pose the reconstruction problem in terms of recovering the expansion...... coefficients in that dictionary. Our approach differs from past approaches in that (a) we use a third-order tensor representation for our images and (b) we recast the reconstruction problem using the tensor formulation. The dictionary learning problem is presented as a non-negative tensor factorization problem...... with sparsity constraints. The reconstruction problem is formulated in a convex optimization framework by looking for a solution with a sparse representation in the tensor dictionary. Numerical results show that our tensor formulation leads to very sparse representations of both the training images...

3.5D dynamic PET image reconstruction incorporating kinetics-based clusters

International Nuclear Information System (INIS)

Lu Lijun; Chen Wufan; Karakatsanis, Nicolas A; Rahmim, Arman; Tang Jing

2012-01-01

Standard 3D dynamic positron emission tomographic (PET) imaging consists of independent image reconstructions of individual frames followed by application of appropriate kinetic model to the time activity curves at the voxel or region-of-interest (ROI). The emerging field of 4D PET reconstruction, by contrast, seeks to move beyond this scheme and incorporate information from multiple frames within the image reconstruction task. Here we propose a novel reconstruction framework aiming to enhance quantitative accuracy of parametric images via introduction of priors based on voxel kinetics, as generated via clustering of preliminary reconstructed dynamic images to define clustered neighborhoods of voxels with similar kinetics. This is then followed by straightforward maximum a posteriori (MAP) 3D PET reconstruction as applied to individual frames; and as such the method is labeled ‘3.5D’ image reconstruction. The use of cluster-based priors has the advantage of further enhancing quantitative performance in dynamic PET imaging, because: (a) there are typically more voxels in clusters than in conventional local neighborhoods, and (b) neighboring voxels with distinct kinetics are less likely to be clustered together. Using realistic simulated 11 C-raclopride dynamic PET data, the quantitative performance of the proposed method was investigated. Parametric distribution-volume (DV) and DV ratio (DVR) images were estimated from dynamic image reconstructions using (a) maximum-likelihood expectation maximization (MLEM), and MAP reconstructions using (b) the quadratic prior (QP-MAP), (c) the Green prior (GP-MAP) and (d, e) two proposed cluster-based priors (CP-U-MAP and CP-W-MAP), followed by graphical modeling, and were qualitatively and quantitatively compared for 11 ROIs. Overall, the proposed dynamic PET reconstruction methodology resulted in substantial visual as well as quantitative accuracy improvements (in terms of noise versus bias performance) for parametric DV

Complications of anterior cruciate ligament reconstruction: MR imaging

Energy Technology Data Exchange (ETDEWEB)

Papakonstantinou, Olympia; Chung, Christine B.; Chanchairujira, Kullanuch; Resnick, Donald L. [Department of Radiology, Veterans Affairs Medical Center, University of California, 3350 La Jolla Village Dr., San Diego, CA 92161 (United States)

2003-05-01

Arthroscopic reconstruction of the anterior cruciate ligament (ACL) using autografts or allografts is being performed with increasing frequency, particularly in young athletes. Although the procedure is generally well tolerated, with good success rates, early and late complications have been documented. As clinical manifestations of graft complications are often non-specific and plain radiographs cannot directly visualize the graft and the adjacent soft tissues, MR imaging has a definite role in the diagnosis of complications after ACL reconstruction and may direct subsequent therapeutic management. Our purpose is to review the normal MR imaging of the ACL graft and present the MR imaging findings of a wide spectrum of complications after ACL reconstruction, such as graft impingement, graft rupture, cystic degeneration of the graft, postoperative infection of the knee, diffuse and localized (i.e., cyclops lesion) arthrofibrosis, and associated donor site abnormalities. Awareness of the MR imaging findings of complications as well as the normal appearances of the normal ACL graft is essential for correct interpretation. (orig.)

Complications of anterior cruciate ligament reconstruction: MR imaging

International Nuclear Information System (INIS)

Papakonstantinou, Olympia; Chung, Christine B.; Chanchairujira, Kullanuch; Resnick, Donald L.

2003-01-01

Arthroscopic reconstruction of the anterior cruciate ligament (ACL) using autografts or allografts is being performed with increasing frequency, particularly in young athletes. Although the procedure is generally well tolerated, with good success rates, early and late complications have been documented. As clinical manifestations of graft complications are often non-specific and plain radiographs cannot directly visualize the graft and the adjacent soft tissues, MR imaging has a definite role in the diagnosis of complications after ACL reconstruction and may direct subsequent therapeutic management. Our purpose is to review the normal MR imaging of the ACL graft and present the MR imaging findings of a wide spectrum of complications after ACL reconstruction, such as graft impingement, graft rupture, cystic degeneration of the graft, postoperative infection of the knee, diffuse and localized (i.e., cyclops lesion) arthrofibrosis, and associated donor site abnormalities. Awareness of the MR imaging findings of complications as well as the normal appearances of the normal ACL graft is essential for correct interpretation. (orig.)

CT image reconstruction system based on hardware implementation

International Nuclear Information System (INIS)

Silva, Hamilton P. da; Evseev, Ivan; Schelin, Hugo R.; Paschuk, Sergei A.; Milhoretto, Edney; Setti, Joao A.P.; Zibetti, Marcelo; Hormaza, Joel M.; Lopes, Ricardo T.

2009-01-01

Full text: The timing factor is very important for medical imaging systems, which can nowadays be synchronized by vital human signals, like heartbeats or breath. The use of hardware implemented devices in such a system has advantages considering the high speed of information treatment combined with arbitrary low cost on the market. This article refers to a hardware system which is based on electronic programmable logic called FPGA, model Cyclone II from ALTERA Corporation. The hardware was implemented on the UP3 ALTERA Kit. A partially connected neural network with unitary weights was programmed. The system was tested with 60 topographic projections, 100 points in each, of the Shepp and Logan phantom created by MATLAB. The main restriction was found to be the memory size available on the device: the dynamic range of reconstructed image was limited to 0 65535. Also, the normalization factor must be observed in order to do not saturate the image during the reconstruction and filtering process. The test shows a principal possibility to build CT image reconstruction systems for any reasonable amount of input data by arranging the parallel work of the hardware units like we have tested. However, further studies are necessary for better understanding of the error propagation from topographic projections to reconstructed image within the implemented method. (author)

Bayesian PET image reconstruction incorporating anato-functional joint entropy

International Nuclear Information System (INIS)

Tang Jing; Rahmim, Arman

2009-01-01

We developed a maximum a posterior (MAP) reconstruction method for positron emission tomography (PET) image reconstruction incorporating magnetic resonance (MR) image information, with the joint entropy between the PET and MR image features serving as the regularization constraint. A non-parametric method was used to estimate the joint probability density of the PET and MR images. Using realistically simulated PET and MR human brain phantoms, the quantitative performance of the proposed algorithm was investigated. Incorporation of the anatomic information via this technique, after parameter optimization, was seen to dramatically improve the noise versus bias tradeoff in every region of interest, compared to the result from using conventional MAP reconstruction. In particular, hot lesions in the FDG PET image, which had no anatomical correspondence in the MR image, also had improved contrast versus noise tradeoff. Corrections were made to figures 3, 4 and 6, and to the second paragraph of section 3.1 on 13 November 2009. The corrected electronic version is identical to the print version.

Uma genealogia do deslocamento em Dois Irmãos de Miltom Hatoum

OpenAIRE

Mackellene, Léo

2011-01-01

A escrita de Milton Hatoum é constituída de deslocamentos: não só os personagens o são, mas também a própria estrutura de sua narrativa. Este artigo pretende demonstrar, a partir da análise de Dois Irmãos, que, falando do deslocamento dos personagens, o autor fala de seu próprio deslocamento, do deslocamento do homem contemporâneo, em sua dimensão pós-moderna e pós-colonial, e, ainda, do deslocamento do próprio leitor de suas obras.

The SRT reconstruction algorithm for semiquantification in PET imaging

Energy Technology Data Exchange (ETDEWEB)

Kastis, George A., E-mail: gkastis@academyofathens.gr [Research Center of Mathematics, Academy of Athens, Athens 11527 (Greece); Gaitanis, Anastasios [Biomedical Research Foundation of the Academy of Athens (BRFAA), Athens 11527 (Greece); Samartzis, Alexandros P. [Nuclear Medicine Department, Evangelismos General Hospital, Athens 10676 (Greece); Fokas, Athanasios S. [Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge CB30WA, United Kingdom and Research Center of Mathematics, Academy of Athens, Athens 11527 (Greece)

2015-10-15

Purpose: The spline reconstruction technique (SRT) is a new, fast algorithm based on a novel numerical implementation of an analytic representation of the inverse Radon transform. The mathematical details of this algorithm and comparisons with filtered backprojection were presented earlier in the literature. In this study, the authors present a comparison between SRT and the ordered-subsets expectation–maximization (OSEM) algorithm for determining contrast and semiquantitative indices of {sup 18}F-FDG uptake. Methods: The authors implemented SRT in the software for tomographic image reconstruction (STIR) open-source platform and evaluated this technique using simulated and real sinograms obtained from the GE Discovery ST positron emission tomography/computer tomography scanner. All simulations and reconstructions were performed in STIR. For OSEM, the authors used the clinical protocol of their scanner, namely, 21 subsets and two iterations. The authors also examined images at one, four, six, and ten iterations. For the simulation studies, the authors analyzed an image-quality phantom with cold and hot lesions. Two different versions of the phantom were employed at two different hot-sphere lesion-to-background ratios (LBRs), namely, 2:1 and 4:1. For each noiseless sinogram, 20 Poisson realizations were created at five different noise levels. In addition to making visual comparisons of the reconstructed images, the authors determined contrast and bias as a function of the background image roughness (IR). For the real-data studies, sinograms of an image-quality phantom simulating the human torso were employed. The authors determined contrast and LBR as a function of the background IR. Finally, the authors present plots of contrast as a function of IR after smoothing each reconstructed image with Gaussian filters of six different sizes. Statistical significance was determined by employing the Wilcoxon rank-sum test. Results: In both simulated and real studies, SRT

The SRT reconstruction algorithm for semiquantification in PET imaging

International Nuclear Information System (INIS)

Kastis, George A.; Gaitanis, Anastasios; Samartzis, Alexandros P.; Fokas, Athanasios S.

2015-01-01

Purpose: The spline reconstruction technique (SRT) is a new, fast algorithm based on a novel numerical implementation of an analytic representation of the inverse Radon transform. The mathematical details of this algorithm and comparisons with filtered backprojection were presented earlier in the literature. In this study, the authors present a comparison between SRT and the ordered-subsets expectation–maximization (OSEM) algorithm for determining contrast and semiquantitative indices of 18 F-FDG uptake. Methods: The authors implemented SRT in the software for tomographic image reconstruction (STIR) open-source platform and evaluated this technique using simulated and real sinograms obtained from the GE Discovery ST positron emission tomography/computer tomography scanner. All simulations and reconstructions were performed in STIR. For OSEM, the authors used the clinical protocol of their scanner, namely, 21 subsets and two iterations. The authors also examined images at one, four, six, and ten iterations. For the simulation studies, the authors analyzed an image-quality phantom with cold and hot lesions. Two different versions of the phantom were employed at two different hot-sphere lesion-to-background ratios (LBRs), namely, 2:1 and 4:1. For each noiseless sinogram, 20 Poisson realizations were created at five different noise levels. In addition to making visual comparisons of the reconstructed images, the authors determined contrast and bias as a function of the background image roughness (IR). For the real-data studies, sinograms of an image-quality phantom simulating the human torso were employed. The authors determined contrast and LBR as a function of the background IR. Finally, the authors present plots of contrast as a function of IR after smoothing each reconstructed image with Gaussian filters of six different sizes. Statistical significance was determined by employing the Wilcoxon rank-sum test. Results: In both simulated and real studies, SRT

Robust framework for PET image reconstruction incorporating system and measurement uncertainties.

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Huafeng Liu

Full Text Available In Positron Emission Tomography (PET, an optimal estimate of the radioactivity concentration is obtained from the measured emission data under certain criteria. So far, all the well-known statistical reconstruction algorithms require exactly known system probability matrix a priori, and the quality of such system model largely determines the quality of the reconstructed images. In this paper, we propose an algorithm for PET image reconstruction for the real world case where the PET system model is subject to uncertainties. The method counts PET reconstruction as a regularization problem and the image estimation is achieved by means of an uncertainty weighted least squares framework. The performance of our work is evaluated with the Shepp-Logan simulated and real phantom data, which demonstrates significant improvements in image quality over the least squares reconstruction efforts.

Biodiversidade de fungos filamentosos em grãos de café cultivados em sistema orgânico e convencional

OpenAIRE

Couto, Fabiana Aparecida; Monteiro, Mônica Cristina Pereira; Silva, Daiani Maria da; Cirillo, Marcelo Ângelo; Batista, Luis Roberto

2012-01-01

Os frutos de café produzidos de forma orgânica ou convencional estão sujeitos à contaminação de diversas espécies de fungos que podem estar relacionados à má qualidade da bebida e à produção de micotoxinas. Realizou-se este estudo para identificar a biodiversidade de fungos filamentosos isolados nos grãos de café produzidos em fazendas orgânicas e convencionais de uma mesma localidade. Das 15 amostras analisadas, foram identificados 212 isolados, pertencentes a 11 diferentes gêner...

Renal Cyst Pseudoenhancement: Intraindividual Comparison Between Virtual Monochromatic Spectral Images and Conventional Polychromatic 120-kVp Images Obtained During the Same CT Examination and Comparisons Among Images Reconstructed Using Filtered Back Projection, Adaptive Statistical Iterative Reconstruction, and Model-Based Iterative Reconstruction

Science.gov (United States)

Yamada, Yoshitake; Yamada, Minoru; Sugisawa, Koichi; Akita, Hirotaka; Shiomi, Eisuke; Abe, Takayuki; Okuda, Shigeo; Jinzaki, Masahiro

2015-01-01

Abstract The purpose of this study was to compare renal cyst pseudoenhancement between virtual monochromatic spectral (VMS) and conventional polychromatic 120-kVp images obtained during the same abdominal computed tomography (CT) examination and among images reconstructed using filtered back projection (FBP), adaptive statistical iterative reconstruction (ASIR), and model-based iterative reconstruction (MBIR). Our institutional review board approved this prospective study; each participant provided written informed consent. Thirty-one patients (19 men, 12 women; age range, 59–85 years; mean age, 73.2 ± 5.5 years) with renal cysts underwent unenhanced 120-kVp CT followed by sequential fast kVp-switching dual-energy (80/140 kVp) and 120-kVp abdominal enhanced CT in the nephrographic phase over a 10-cm scan length with a random acquisition order and 4.5-second intervals. Fifty-one renal cysts (maximal diameter, 18.0 ± 14.7 mm [range, 4–61 mm]) were identified. The CT attenuation values of the cysts as well as of the kidneys were measured on the unenhanced images, enhanced VMS images (at 70 keV) reconstructed using FBP and ASIR from dual-energy data, and enhanced 120-kVp images reconstructed using FBP, ASIR, and MBIR. The results were analyzed using the mixed-effects model and paired t test with Bonferroni correction. The attenuation increases (pseudoenhancement) of the renal cysts on the VMS images reconstructed using FBP/ASIR (least square mean, 5.0/6.0 Hounsfield units [HU]; 95% confidence interval, 2.6–7.4/3.6–8.4 HU) were significantly lower than those on the conventional 120-kVp images reconstructed using FBP/ASIR/MBIR (least square mean, 12.1/12.8/11.8 HU; 95% confidence interval, 9.8–14.5/10.4–15.1/9.4–14.2 HU) (all P < .001); on the other hand, the CT attenuation values of the kidneys on the VMS images were comparable to those on the 120-kVp images. Regardless of the reconstruction algorithm, 70-keV VMS images showed

Demosaicing and Superresolution for Color Filter Array via Residual Image Reconstruction and Sparse Representation

OpenAIRE

Sun, Guangling

2012-01-01

A framework of demosaicing and superresolution for color filter array (CFA) via residual image reconstruction and sparse representation is presented.Given the intermediate image produced by certain demosaicing and interpolation technique, a residual image between the final reconstruction image and the intermediate image is reconstructed using sparse representation.The final reconstruction image has richer edges and details than that of the intermediate image. Specifically, a generic dictionar...

Redes de Pesquisa Entre os Egressos do Doutorado em Ciências Contábeis da FEA/USP

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Ilse Maria Beuren

2010-02-01

Full Text Available O estudo objetiva analisar as redes de pesquisa dos egressos do curso de Doutorado em Ciências Contábeis da FEA/USP. A pesquisa documental foi realizada nos currículos Lattes dos doutores em controladoria e contabilidade, formados pela Universidade de São Paulo, no período de 1962 a 2008. Da população de 185 doutores do Doutorado de Ciências Contábeis da FEA/USP, uma amostra de 158 foi selecionada, pois 27 currículos Lattes não estavam disponíveis. Na análise dos dados, utilizou-se estatística descritiva para quantificação da produção científica dos doutores, conforme informações disponíveis nos currículos Lattes. Para análise das redes de pesquisa entre os egressos, utilizou-se o software UNICET®. Os resultados da pesquisa evidenciam as instituições que os egressos estão vinculados atualmente, as funções que exercem nestas instituições, a produção científica dos egressos no período de 1998 a 2008 e as redes de pesquisa predominantes entre os egressos. Constatou-se que a Universidade de São Paulo concentra o maior número de docentes egressos e que a produção científica dos doutores pesquisados está predominantemente publicada em anais de congressos. Quanto às redes, observou-se que estabelecem redes de cooperação com predomínio de ligações fracas em livros, capítulos de livros e textos de revistas/jornais, porém relações de cooperação fortes na publicação de artigos em periódicos. Conclui-se que há ainda necessidade de um fortalecimento nas redes estabelecidas entre os egressos analisados para proporcionar um aprimoramento científico na área contábil.

Molecular Imaging : Computer Reconstruction and Practice - Proceedings of the NATO Advanced Study Institute on Molecular Imaging from Physical Principles to Computer Reconstruction and Practice

CERN Document Server

Lemoigne, Yves

2008-01-01

This volume collects the lectures presented at the ninth ESI School held at Archamps (FR) in November 2006 and is dedicated to nuclear physics applications in molecular imaging. The lectures focus on the multiple facets of image reconstruction processing and management and illustrate the role of digital imaging in clinical practice. Medical computing and image reconstruction are introduced by analysing the underlying physics principles and their implementation, relevant quality aspects, clinical performance and recent advancements in the field. Several stages of the imaging process are specifically addressed, e.g. optimisation of data acquisition and storage, distributed computing, physiology and detector modelling, computer algorithms for image reconstruction and measurement in tomography applications, for both clinical and biomedical research applications. All topics are presented with didactical language and style, making this book an appropriate reference for students and professionals seeking a comprehen...

Perfil do Inquérito de Violências e Acidentes em Serviços Sentinela de Urgência e Emergência

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Marta Maria Alves da Silva

Full Text Available Resumo O Inquérito de Violências e Acidentes em Serviços Sentinela de Urgência e Emergência (VIVA Inquérito é o componente de vigilância sentinela do Sistema de Vigilância de Violências e Acidentes (VIVA. Sua primeira edição foi realizada em 2006; outras foram realizadas em 2007, 2009, 2011 e 2014. A amostra é composta por vítimas de acidentes e violências atendidas em serviços de urgência e emergência vinculados ao Sistema Único de Saúde (SUS. Os serviços são selecionados de forma intencional, e posteriormente é realizada uma etapa de amostragem probabilística de turnos de 12 horas, por conglomerados em único estágio de seleção. Os dados são coletados por entrevistadores treinados, com formulário padronizado. As variáveis incluem dados sobre o estabelecimento, a vítima, a ocorrência, a lesão e a evolução do caso. O VIVA Inquérito disponibiliza informações fundamentais para a implementação de políticas de enfrentamento das violências e acidentes e promoção da saúde e da paz.

Accelerated Computing in Magnetic Resonance Imaging: Real-Time Imaging Using Nonlinear Inverse Reconstruction

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Sebastian Schaetz

2017-01-01

Full Text Available Purpose. To develop generic optimization strategies for image reconstruction using graphical processing units (GPUs in magnetic resonance imaging (MRI and to exemplarily report on our experience with a highly accelerated implementation of the nonlinear inversion (NLINV algorithm for dynamic MRI with high frame rates. Methods. The NLINV algorithm is optimized and ported to run on a multi-GPU single-node server. The algorithm is mapped to multiple GPUs by decomposing the data domain along the channel dimension. Furthermore, the algorithm is decomposed along the temporal domain by relaxing a temporal regularization constraint, allowing the algorithm to work on multiple frames in parallel. Finally, an autotuning method is presented that is capable of combining different decomposition variants to achieve optimal algorithm performance in different imaging scenarios. Results. The algorithm is successfully ported to a multi-GPU system and allows online image reconstruction with high frame rates. Real-time reconstruction with low latency and frame rates up to 30 frames per second is demonstrated. Conclusion. Novel parallel decomposition methods are presented which are applicable to many iterative algorithms for dynamic MRI. Using these methods to parallelize the NLINV algorithm on multiple GPUs, it is possible to achieve online image reconstruction with high frame rates.

Atomic force microscopy imaging and 3-D reconstructions of serial thin sections of a single cell and its interior structures

International Nuclear Information System (INIS)

Chen Yong; Cai Jiye; Zhao Tao; Wang Chenxi; Dong Shuo; Luo Shuqian; Chen, Zheng W.

2005-01-01

The thin sectioning has been widely applied in electron microscopy (EM), and successfully used for an in situ observation of inner ultrastructure of cells. This powerful technique has recently been extended to the research field of atomic force microscopy (AFM). However, there have been no reports describing AFM imaging of serial thin sections and three-dimensional (3-D) reconstruction of cells and their inner structures. In the present study, we used AFM to scan serial thin sections approximately 60 nm thick of a mouse embryonic stem (ES) cell, and to observe the in situ inner ultrastructure including cell membrane, cytoplasm, mitochondria, nucleus membrane, and linear chromatin. The high-magnification AFM imaging of single mitochondria clearly demonstrated the outer membrane, inner boundary membrane and cristal membrane of mitochondria in the cellular compartment. Importantly, AFM imaging on six serial thin sections of a single mouse ES cell showed that mitochondria underwent sequential changes in the number, morphology and distribution. These nanoscale images allowed us to perform 3-D surface reconstruction of interested interior structures in cells. Based on the serial in situ images, 3-D models of morphological characteristics, numbers and distributions of interior structures of the single ES cells were validated and reconstructed. Our results suggest that the combined AFM and serial-thin-section technique is useful for the nanoscale imaging and 3-D reconstruction of single cells and their inner structures. This technique may facilitate studies of proliferating and differentiating stages of stem cells or somatic cells at a nanoscale

Image reconstruction technique using projection data from neutron tomography system

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Waleed Abd el Bar

2015-12-01

Full Text Available Neutron tomography is a very powerful technique for nondestructive evaluation of heavy industrial components as well as for soft hydrogenous materials enclosed in heavy metals which are usually difficult to image using X-rays. Due to the properties of the image acquisition system, the projection images are distorted by several artifacts, and these reduce the quality of the reconstruction. In order to eliminate these harmful effects the projection images should be corrected before reconstruction. This paper gives a description of a filter back projection (FBP technique, which is used for reconstruction of projected data obtained from transmission measurements by neutron tomography system We demonstrated the use of spatial Discrete Fourier Transform (DFT and the 2D Inverse DFT in the formulation of the method, and outlined the theory of reconstruction of a 2D neutron image from a sequence of 1D projections taken at different angles between 0 and π in MATLAB environment. Projections are generated by applying the Radon transform to the original image at different angles.

Block Compressed Sensing of Images Using Adaptive Granular Reconstruction

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Ran Li

2016-01-01

Full Text Available In the framework of block Compressed Sensing (CS, the reconstruction algorithm based on the Smoothed Projected Landweber (SPL iteration can achieve the better rate-distortion performance with a low computational complexity, especially for using the Principle Components Analysis (PCA to perform the adaptive hard-thresholding shrinkage. However, during learning the PCA matrix, it affects the reconstruction performance of Landweber iteration to neglect the stationary local structural characteristic of image. To solve the above problem, this paper firstly uses the Granular Computing (GrC to decompose an image into several granules depending on the structural features of patches. Then, we perform the PCA to learn the sparse representation basis corresponding to each granule. Finally, the hard-thresholding shrinkage is employed to remove the noises in patches. The patches in granule have the stationary local structural characteristic, so that our method can effectively improve the performance of hard-thresholding shrinkage. Experimental results indicate that the reconstructed image by the proposed algorithm has better objective quality when compared with several traditional ones. The edge and texture details in the reconstructed image are better preserved, which guarantees the better visual quality. Besides, our method has still a low computational complexity of reconstruction.

Adaptive reconstructions for magnetic resonance imaging of moving organs

International Nuclear Information System (INIS)

Lohezic, Maelene

2011-01-01

Magnetic resonance imaging (MRI) is a valuable tool for the clinical diagnosis for brain imaging as well as cardiac and abdominal imaging. For instance, MRI is the only modality that enables the visualization and characterization myocardial edema. However, motion remains a challenging problem for cardiac MRI. Breathing as well as cardiac beating have to be carefully handled during patient examination. Moreover they limit the achievable temporal and spatial resolution of the images. In this work an approach that takes these physiological motions into account during image reconstruction process has been proposed. It allows performing cardiac examination while breathing freely. First, an iterative reconstruction algorithm, that compensates motion estimated from a motion model constrained by physiological signals, is applied to morphological cardiac imaging. A semi-automatic method for edema detection has been tested on reconstructed images. It has also been associated with an adaptive acquisition strategy which enables free-breathing end-systolic imaging. This reconstruction has then been extended to the assessment of transverse relaxation times T2, which is used for myocardial edema characterization. The proposed method, ARTEMIS, enables free-breathing T2 mapping without additional acquisition time. The proposed free breathing approaches take advantage of physiological signals to estimate the motion that occurs during MR acquisitions. Several solutions have been tested to measure this information. Among them, accelerometer-based external sensors allow local measurements at several locations. Another approach consists in the use of k-space based measurements, which are 'embedded' inside the MRI pulse sequence (navigator) and prevent from the requirement of additional recording hardware. Hence, several adaptive reconstruction algorithms were developed to obtain diagnostic information from free breathing acquisitions. These works allow performing efficient and accurate

Image quality of multiplanar reconstruction of pulmonary CT scans using adaptive statistical iterative reconstruction.

Science.gov (United States)

Honda, O; Yanagawa, M; Inoue, A; Kikuyama, A; Yoshida, S; Sumikawa, H; Tobino, K; Koyama, M; Tomiyama, N

2011-04-01

We investigated the image quality of multiplanar reconstruction (MPR) using adaptive statistical iterative reconstruction (ASIR). Inflated and fixed lungs were scanned with a garnet detector CT in high-resolution mode (HR mode) or non-high-resolution (HR) mode, and MPR images were then reconstructed. Observers compared 15 MPR images of ASIR (40%) and ASIR (80%) with those of ASIR (0%), and assessed image quality using a visual five-point scale (1, definitely inferior; 5, definitely superior), with particular emphasis on normal pulmonary structures, artefacts, noise and overall image quality. The mean overall image quality scores in HR mode were 3.67 with ASIR (40%) and 4.97 with ASIR (80%). Those in non-HR mode were 3.27 with ASIR (40%) and 3.90 with ASIR (80%). The mean artefact scores in HR mode were 3.13 with ASIR (40%) and 3.63 with ASIR (80%), but those in non-HR mode were 2.87 with ASIR (40%) and 2.53 with ASIR (80%). The mean scores of the other parameters were greater than 3, whereas those in HR mode were higher than those in non-HR mode. There were significant differences between ASIR (40%) and ASIR (80%) in overall image quality (pASIR did not suppress the severe artefacts of contrast medium. In general, MPR image quality with ASIR (80%) was superior to that with ASIR (40%). However, there was an increased incidence of artefacts by ASIR when CT images were obtained in non-HR mode.

EDUCAR CIDADÃOS HOJE: CONSTRUIR O FUTURO. RECONQUISTAR A SOCIEDADE CIVIL. CONVERTER A ESCOLA E OS LUGARES DE CONVIVÊNCIA EM ESPAÇOS E TEMPOS DE VIDA

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Maria Josefa Cabello Martínez

2007-12-01

Full Text Available Este artigo aborda um duplo desafio enfrentado pela educação na atualidade: o tema da educação para a autonomia e a participação em si mesma, por um lado e, por outro, visa fomentar o debate entre educadoras e educadores que, como trabalhadoras e trabalhadores da escola pública, ou seja, da instituição mais visivelmente utilizada por todos, são o principal recurso para alimentar razoavelmente a esperança em um futuro social construído por cidadãs e cidadãos. O texto trabalha a relação entre a cidadania e a sociedade civil, tomando a cidade (a comunidade e a escola em sentido amplo, como espaço público de ambas. Assim, a educação é considerada ao mesmo tempo oportunidade, condicionante e possibilidade de reconstrução de novas cidadanias. O conteúdo se vai construindo a partir de indagações sobre três temas básicos: as concepções, os requisitos sociais e as estratégias curriculares que podem apoiar atualmente uma educação para a cidadania. Está estruturado em cinco partes: O significado da educação cidadã hoje. As relações escola pública - sociedade civil. As relações cidadania-sociedade civil-comunidade. Propostas organizativas e curriculares para a construção da cidadania e a sociedade civil.

Application of Super-Resolution Image Reconstruction to Digital Holography

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Zhang Shuqun

2006-01-01

Full Text Available We describe a new application of super-resolution image reconstruction to digital holography which is a technique for three-dimensional information recording and reconstruction. Digital holography has suffered from the low resolution of CCD sensors, which significantly limits the size of objects that can be recorded. The existing solution to this problem is to use optics to bandlimit the object to be recorded, which can cause the loss of details. Here super-resolution image reconstruction is proposed to be applied in enhancing the spatial resolution of digital holograms. By introducing a global camera translation before sampling, a high-resolution hologram can be reconstructed from a set of undersampled hologram images. This permits the recording of larger objects and reduces the distance between the object and the hologram. Practical results from real and simulated holograms are presented to demonstrate the feasibility of the proposed technique.

Edge-oriented dual-dictionary guided enrichment (EDGE) for MRI-CT image reconstruction.

Science.gov (United States)

Li, Liang; Wang, Bigong; Wang, Ge

2016-01-01

In this paper, we formulate the joint/simultaneous X-ray CT and MRI image reconstruction. In particular, a novel algorithm is proposed for MRI image reconstruction from highly under-sampled MRI data and CT images. It consists of two steps. First, a training dataset is generated from a series of well-registered MRI and CT images on the same patients. Then, an initial MRI image of a patient can be reconstructed via edge-oriented dual-dictionary guided enrichment (EDGE) based on the training dataset and a CT image of the patient. Second, an MRI image is reconstructed using the dictionary learning (DL) algorithm from highly under-sampled k-space data and the initial MRI image. Our algorithm can establish a one-to-one correspondence between the two imaging modalities, and obtain a good initial MRI estimation. Both noise-free and noisy simulation studies were performed to evaluate and validate the proposed algorithm. The results with different under-sampling factors show that the proposed algorithm performed significantly better than those reconstructed using the DL algorithm from MRI data alone.

O ENTRELAÇAMENTO ENTRE OS PROCESSOS DE FUNCIONAMENTO COM O CLIMA ORGANIZACIONAL EM UM DEPARTAMENTO DE SERVIÇOS PÓSTUMOS: UMA INVESTIGAÇÃO QUALITATIVA.

OpenAIRE

Merjane, Telma Vilela Borges

2014-01-01

O presente estudo foi desenvolvido em uma organização sem fins lucrativos denominada Fraternidade e Assistência a Menores Aprendizes (FAMA), na cidade de Goiânia-GO, com o objetivo de compreender a relação entre os processos de funcionamento dos serviços, o clima organizacional e a saúde da equipe no setor de serviços póstumos. A metodologia adotada utiliza uma investigação qualitativa envolvendo oito funcionários que atuam no departamento de serviços póstumos. Trata-se de um estu...

Image quality in children with low-radiation chest CT using adaptive statistical iterative reconstruction and model-based iterative reconstruction.

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Jihang Sun

Full Text Available OBJECTIVE: To evaluate noise reduction and image quality improvement in low-radiation dose chest CT images in children using adaptive statistical iterative reconstruction (ASIR and a full model-based iterative reconstruction (MBIR algorithm. METHODS: Forty-five children (age ranging from 28 days to 6 years, median of 1.8 years who received low-dose chest CT scans were included. Age-dependent noise index (NI was used for acquisition. Images were retrospectively reconstructed using three methods: MBIR, 60% of ASIR and 40% of conventional filtered back-projection (FBP, and FBP. The subjective quality of the images was independently evaluated by two radiologists. Objective noises in the left ventricle (LV, muscle, fat, descending aorta and lung field at the layer with the largest cross-section area of LV were measured, with the region of interest about one fourth to half of the area of descending aorta. Optimized signal-to-noise ratio (SNR was calculated. RESULT: In terms of subjective quality, MBIR images were significantly better than ASIR and FBP in image noise and visibility of tiny structures, but blurred edges were observed. In terms of objective noise, MBIR and ASIR reconstruction decreased the image noise by 55.2% and 31.8%, respectively, for LV compared with FBP. Similarly, MBIR and ASIR reconstruction increased the SNR by 124.0% and 46.2%, respectively, compared with FBP. CONCLUSION: Compared with FBP and ASIR, overall image quality and noise reduction were significantly improved by MBIR. MBIR image could reconstruct eligible chest CT images in children with lower radiation dose.

Algorithms for reconstructing images for industrial applications

International Nuclear Information System (INIS)

Lopes, R.T.; Crispim, V.R.

1986-01-01

Several algorithms for reconstructing objects from their projections are being studied in our Laboratory, for industrial applications. Such algorithms are useful locating the position and shape of different composition of materials in the object. A Comparative study of two algorithms is made. The two investigated algorithsm are: The MART (Multiplicative - Algebraic Reconstruction Technique) and the Convolution Method. The comparison are carried out from the point view of the quality of the image reconstructed, number of views and cost. (Author) [pt

Reconstruction algorithm medical imaging DRR; Algoritmo de construccion de imagenes medicas DRR

Energy Technology Data Exchange (ETDEWEB)

Estrada Espinosa, J. C.

2013-07-01

The method of reconstruction for digital radiographic Imaging (DRR), is based on two orthogonal images, on the dorsal and lateral decubitus position of the simulation. DRR images are reconstructed with an algorithm that simulates running a conventional X-ray, a single rendition team, beam emitted is not divergent, in this case, the rays are considered to be parallel in the image reconstruction DRR, for this purpose, it is necessary to use all the values of the units (HU) hounsfield of each voxel in all axial cuts that form the study TC, finally obtaining the reconstructed image DRR performing a transformation from 3D to 2D. (Author)

ITEM-QM solutions for EM problems in image reconstruction exemplary for the Compton Camera

CERN Document Server

Pauli, Josef; Anton, G

2002-01-01

Imaginary time expectation maximation (ITEM), a new algorithm for expectation maximization problems based on the quantum mechanics energy minimalization via imaginary (euclidian) time evolution is presented. Both (the algorithm as well as the implementation (http://www.johannes-pauli.de/item/index.html) are published under the terms of General GNU public License (http://www.gnu.org/copyleft/gpl.html). Due to its generality ITEM is applicable to various image reconstruction problems like CT, PET, SPECT, NMR, Compton Camera, tomosynthesis as well as any other energy minimization problem. The choice of the optimal ITEM Hamiltonian is discussed and numerical results are presented for the Compton Camera.

A fast image reconstruction technique based on ART

International Nuclear Information System (INIS)

Zhang Shunli; Zhang Dinghua; Wang Kai; Huang Kuidong; Li Weibin

2007-01-01

Algebraic Reconstruction Technique (ART) is an iterative method for image reconstruction. Improving its reconstruction speed has been one of the important researching aspects of ART. For the simplified weight coefficients reconstruction model of ART, a fast grid traverse algorithm is proposed, which can determine the grid index by simple operations such as addition, subtraction and comparison. Since the weight coefficients are calculated at real time during iteration, large amount of storage is saved and the reconstruction speed is greatly increased. Experimental results show that the new algorithm is very effective and the reconstruction speed is improved about 10 times compared with the traditional algorithm. (authors)

High spatial resolution CT image reconstruction using parallel computing

International Nuclear Information System (INIS)

Yin Yin; Liu Li; Sun Gongxing

2003-01-01

Using the PC cluster system with 16 dual CPU nodes, we accelerate the FBP and OR-OSEM reconstruction of high spatial resolution image (2048 x 2048). Based on the number of projections, we rewrite the reconstruction algorithms into parallel format and dispatch the tasks to each CPU. By parallel computing, the speedup factor is roughly equal to the number of CPUs, which can be up to about 25 times when 25 CPUs used. This technique is very suitable for real-time high spatial resolution CT image reconstruction. (authors)

Evaluation of aortocoronary bypass graft patency by reconstructed CT image

International Nuclear Information System (INIS)

Kawakita, Seizaburo; Koide, Takashi; Saito, Yoshio; Yamamoto, Tadao; Iwasaki, Tadaaki

1982-01-01

Ten patients were examined in the period of three months from January to March 1981. The patients were operated from 1 month to 7 years before CT. A bypass to the left anterior descending artery (LAD) was grafted in 10 cases, 2 to the right coronary artery (RCA), 4 to an obtuse marginal artery (OM), and 1 to a diagonal artery. Image reconstruction was performed in 10 cases by using an image analytical computer Evaluskop. Appropriate planes for reconstruction were selected by trial and error methods upon observation of CT images. When gained picture of a graft course coincided with surgical records or angiography, the work of building images was concluded. On cross section, grafts to LAD were visualized in all 10 cases: 9 in the entire course and 1 in a proximal part of the graft. Two to RCA, 4 to OM and 1 to a diagonal were also successfully visualized. Reconstruction of graft images succeeded in 9 grafts of 6 cases. The course of a graft could be pursued from the proximal to the distal end adjacent to the cardiac chamber. The picture of a bypass to LAD was visualized in 6 of 10 grafts. Two bypass to RCA could be depicted, and 1 to OM was also found. However 3 to OM and 1 to a diagonal failed to be visualized throughout their courses in reconstructed images. I think that the causes of faillure mainly depended upon the course of the graft. When a graft was running arc-like surrounding the heart chamber, it was very difficult to depict its entire length in reconstructed images, though the graft could be detected in cross sections. These preliminary studies indicated that reconstruction of CT images had some benefits for the pursuit of graft courses. (J.P.N.)

Contribuição de caracteres agronômicos para a produtividade de grãos em pinhão-manso

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Paulo Eduardo Teodoro

2016-03-01

Full Text Available RESUMO O conhecimento da associação entre os caracteres que compõem a produtividade é importante para a seleção de plantas superiores, principalmente para garantir que o ganho genético ocorra para os diversos caracteres favoráveis. No pinhão-manso, a produtividade de grãos é o principal alvo do programa de melhoramento, porém existem outros caracteres importantes que impactam na produção. Diante desse contexto, o objetivo deste trabalho foi estimar, por meio de análise de trilha, os efeitos diretos e indiretos de caracteres vegetativos sobre a produtividade de grãos de pinhão-manso. Aos 18 meses após o plantio, foram mensurados os caracteres altura de plantas, diâmetro do caule, número de ramos por planta, projeção da copa na linha, projeção da copa na entrelinha e produtividade de grãos. Foram estimadas as correlações fenotípicas entre os caracteres avaliados, sendo essas correlações desdobradas, por meio da análise de trilha, em efeitos diretos e indiretos, considerando-se o caráter produtividade de grãos como a variável dependente principal. Observou-se que 76% da variação em produtividade foi explicada pelas variáveis explicativas, valor este superior ao observado em outros estudos e adequado para explorar os ganhos com a seleção direta e indireta em pinhão-manso. Os caracteres diâmetro do caule, massa de cem sementes e projeção da copa na entrelinha influenciam diretamente a produtividade de grãos, sendo indicados para seleção direta, assim como para a seleção indireta de progênies superiores de pinhão-manso para produtividade de grãos.

Proton computed tomography images with algebraic reconstruction

Energy Technology Data Exchange (ETDEWEB)

Bruzzi, M. [Physics and Astronomy Department, University of Florence, Florence (Italy); Civinini, C.; Scaringella, M. [INFN - Florence Division, Florence (Italy); Bonanno, D. [INFN - Catania Division, Catania (Italy); Brianzi, M. [INFN - Florence Division, Florence (Italy); Carpinelli, M. [INFN - Laboratori Nazionali del Sud, Catania (Italy); Chemistry and Pharmacy Department, University of Sassari, Sassari (Italy); Cirrone, G.A.P.; Cuttone, G. [INFN - Laboratori Nazionali del Sud, Catania (Italy); Presti, D. Lo [INFN - Catania Division, Catania (Italy); Physics and Astronomy Department, University of Catania, Catania (Italy); Maccioni, G. [INFN – Cagliari Division, Cagliari (Italy); Pallotta, S. [INFN - Florence Division, Florence (Italy); Department of Biomedical, Experimental and Clinical Sciences, University of Florence, Florence (Italy); SOD Fisica Medica, Azienda Ospedaliero-Universitaria Careggi, Firenze (Italy); Randazzo, N. [INFN - Catania Division, Catania (Italy); Romano, F. [INFN - Laboratori Nazionali del Sud, Catania (Italy); Sipala, V. [INFN - Laboratori Nazionali del Sud, Catania (Italy); Chemistry and Pharmacy Department, University of Sassari, Sassari (Italy); Talamonti, C. [INFN - Florence Division, Florence (Italy); Department of Biomedical, Experimental and Clinical Sciences, University of Florence, Florence (Italy); SOD Fisica Medica, Azienda Ospedaliero-Universitaria Careggi, Firenze (Italy); Vanzi, E. [Fisica Sanitaria, Azienda Ospedaliero-Universitaria Senese, Siena (Italy)

2017-02-11

A prototype of proton Computed Tomography (pCT) system for hadron-therapy has been manufactured and tested in a 175 MeV proton beam with a non-homogeneous phantom designed to simulate high-contrast material. BI-SART reconstruction algorithms have been implemented with GPU parallelism, taking into account of most likely paths of protons in matter. Reconstructed tomography images with density resolutions r.m.s. down to ~1% and spatial resolutions <1 mm, achieved within processing times of ~15′ for a 512×512 pixels image prove that this technique will be beneficial if used instead of X-CT in hadron-therapy.

Relação entre os caracteres determinantes das eficiências no uso de nitrogênio e fósforo em milho

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Felipe Bermudez Pereira

2013-10-01

Full Text Available O melhoramento genético das eficiências no uso de N (EUN e P (EUP é um dos meios para se obterem produtividades de grãos satisfatórias, com menores custos e de modo sustentável. Todavia, pouco se sabe a respeito da relação entre os caracteres determinantes dessas eficiências, o que tem dificultado o uso da seleção precoce e indireta. Portanto, objetivou-se, com este trabalho, identificar a relação entre os caracteres determinantes das eficiências no uso de nitrogênio e fósforo, em milho. Para isso, avaliaram-se 14 linhagens e 39 híbridos simples, em dois experimentos, em baixa e alta disponibilidade de N e P, em delineamento inteiramente ao acaso, com duas repetições, em esquema fatorial simples. Os experimentos foram conduzidos em telado. Foram utilizados tubos cilíndricos de PVC, com 4 dm³ de capacidade, preenchidos com dois tipos de substrato, de acordo com o experimento. As soluções nutritivas foram fornecidas a partir do sétimo dia após o transplantio, aplicando-se 250 ml tubo-1, a cada dois dias. As plantas foram colhidas em estádio de seis folhas completamente expandidas (V6 e os caracteres avaliados foram: massa da parte aérea seca (MPS, área de raiz específica (ARE, comprimento de raízes laterais (CRLat e axiais (CRAxi e os dois componentes da EUN e EUP, as eficiências de utilização (EUt e a de absorção (EAb. Foram realizadas análises de variância e de trilha dos dados coletados. Os caracteres de raiz não apresentaram efeitos significativos sobre as EUN e EUP. A MPS é o principal determinante das EUN e EUP, independentemente da disponibilidade nutricional.

Image reconstruction in k-space from MR data encoded with ambiguous gradient fields.

Science.gov (United States)

Schultz, Gerrit; Gallichan, Daniel; Weber, Hans; Witschey, Walter R T; Honal, Matthias; Hennig, Jürgen; Zaitsev, Maxim

2015-02-01

In this work, the limits of image reconstruction in k-space are explored when non-bijective gradient fields are used for spatial encoding. The image space analogy between parallel imaging and imaging with non-bijective encoding fields is partially broken in k-space. As a consequence, it is hypothesized and proven that ambiguities can only be resolved partially in k-space, and not completely as is the case in image space. Image-space and k-space based reconstruction algorithms for multi-channel radiofrequency data acquisitions are programmed and tested using numerical simulations as well as in vivo measurement data. The hypothesis is verified based on an analysis of reconstructed images. It is found that non-bijective gradient fields have the effect that densely sampled autocalibration data, used for k-space reconstruction, provide less information than a separate scan of the receiver coil sensitivity maps, used for image space reconstruction. Consequently, in k-space only the undersampling artifact can be unfolded, whereas in image space, it is also possible to resolve aliasing that is caused by the non-bijectivity of the gradient fields. For standard imaging, reconstruction in image space and in k-space is nearly equivalent, whereas there is a fundamental difference with practical consequences for the selection of image reconstruction algorithms when non-bijective encoding fields are involved. © 2014 Wiley Periodicals, Inc.

Image reconstruction of dynamic infrared single-pixel imaging system

Science.gov (United States)

Tong, Qi; Jiang, Yilin; Wang, Haiyan; Guo, Limin

2018-03-01

Single-pixel imaging technique has recently received much attention. Most of the current single-pixel imaging is aimed at relatively static targets or the imaging system is fixed, which is limited by the number of measurements received through the single detector. In this paper, we proposed a novel dynamic compressive imaging method to solve the imaging problem, where exists imaging system motion behavior, for the infrared (IR) rosette scanning system. The relationship between adjacent target images and scene is analyzed under different system movement scenarios. These relationships are used to build dynamic compressive imaging models. Simulation results demonstrate that the proposed method can improve the reconstruction quality of IR image and enhance the contrast between the target and the background in the presence of system movement.

A pesquisa em saúde e os objetivos do milênio: desafios e oportunidades globais, soluções e políticas nacionais

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Morel Carlos M.

2004-01-01

Full Text Available Saúde, ciência e tecnologia são requisitos para o desenvolvimento econômico e social. Os Objetivos de Desenvolvimento do Milênio da ONU para 2015 representam um imenso desafio para os países em desenvolvimento. Esses países terão de organizar sistemas de pesquisa em saúde baseados em prioridades sanitárias e assegurar a incorporação dos resultados às políticas e ações de saúde. Avanços na área biomédica, em particular em genômica, abrem novas oportunidades, mas impõem desafios adicionais. O Brasil, possuidor de um forte parque industrial e uma vigorosa comunidade científica, tem capacidade para desenvolver um sistema de pesquisas em saúde capaz de contribuir efetivamente para o cumprimento das metas da ONU.

Image reconstruction from limited angle Compton camera data

International Nuclear Information System (INIS)

Tomitani, T.; Hirasawa, M.

2002-01-01

The Compton camera is used for imaging the distributions of γ ray direction in a γ ray telescope for astrophysics and for imaging radioisotope distributions in nuclear medicine without the need for collimators. The integration of γ rays on a cone is measured with the camera, so that some sort of inversion method is needed. Parra found an analytical inversion algorithm based on spherical harmonics expansion of projection data. His algorithm is applicable to the full set of projection data. In this paper, six possible reconstruction algorithms that allow image reconstruction from projections with a finite range of scattering angles are investigated. Four algorithms have instability problems and two others are practical. However, the variance of the reconstructed image diverges in these two cases, so that window functions are introduced with which the variance becomes finite at a cost of spatial resolution. These two algorithms are compared in terms of variance. The algorithm based on the inversion of the summed back-projection is superior to the algorithm based on the inversion of the summed projection. (author)

Robust sparse image reconstruction of radio interferometric observations with PURIFY

Science.gov (United States)

Pratley, Luke; McEwen, Jason D.; d'Avezac, Mayeul; Carrillo, Rafael E.; Onose, Alexandru; Wiaux, Yves

2018-01-01

Next-generation radio interferometers, such as the Square Kilometre Array, will revolutionize our understanding of the Universe through their unprecedented sensitivity and resolution. However, to realize these goals significant challenges in image and data processing need to be overcome. The standard methods in radio interferometry for reconstructing images, such as CLEAN, have served the community well over the last few decades and have survived largely because they are pragmatic. However, they produce reconstructed interferometric images that are limited in quality and scalability for big data. In this work, we apply and evaluate alternative interferometric reconstruction methods that make use of state-of-the-art sparse image reconstruction algorithms motivated by compressive sensing, which have been implemented in the PURIFY software package. In particular, we implement and apply the proximal alternating direction method of multipliers algorithm presented in a recent article. First, we assess the impact of the interpolation kernel used to perform gridding and degridding on sparse image reconstruction. We find that the Kaiser-Bessel interpolation kernel performs as well as prolate spheroidal wave functions while providing a computational saving and an analytic form. Secondly, we apply PURIFY to real interferometric observations from the Very Large Array and the Australia Telescope Compact Array and find that images recovered by PURIFY are of higher quality than those recovered by CLEAN. Thirdly, we discuss how PURIFY reconstructions exhibit additional advantages over those recovered by CLEAN. The latest version of PURIFY, with developments presented in this work, is made publicly available.

Os indicadores do saneamento medem a universalização em áreas de vulnerabilidade social?

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Ester Feche Guimarães

2014-03-01

Full Text Available Os indicadores de saneamento, no contexto regulatório, servem de base para avaliar a evolução temporal da eficiência da empresa regulada. Assim, demanda conceituação, definições e esclarecimentos quanto à realidade do uso de indicadores adotados para medida de universalização em áreas de vulnerabilidade social. O benchmarking é ferramenta caracterizada pela capacidade de aferir eficiência e eficácia da prestação dos serviços por meio de indicadores de produtividade das empresas, que são comparadas. Assim, o objetivo deste artigo foi trazer à discussão a aplicação de conceitos de empresa referência ou benchmarking que possam atender às peculiaridades da prestação dos serviços em áreas urbanas vulneráveis.

Colour reconstruction of underwater images

OpenAIRE

Hoth, Julian; Kowalczyk, Wojciech

2017-01-01

Objects look very different in the underwater environment compared to their appearance in sunlight. Images with correct colouring simplify the detection of underwater objects and may allow the use of visual SLAM algorithms developed for land-based robots underwater. Hence, image processing is required. Current algorithms focus on the colour reconstruction of scenery at diving depth where different colours can still be distinguished. At greater depth this is not the case. In this study it is i...

Image Reconstruction Algorithm For Electrical Capacitance Tomography (ECT)

International Nuclear Information System (INIS)

Arko

2001-01-01

). Most image reconstruction algorithms for electrical capacitance tomography (ECT) use sensitivity maps as weighting factors. The computation is fast, involving a simple multiply-and- accumulate (MAC) operation, but the resulting image suffers from blurring due to the soft-field effect of the sensor. This paper presents a low cost iterative method employing proportional thresholding, which improves image quality dramatically. The strategy for implementation, computational cost, and achievable speed is examined when using a personal computer (PC) and Digital Signal Processor (DSP). For PC implementation, Watcom C++ 10.6 and Visual C++ 5.0 compilers were used. The experimental results are compared to the images reconstructed by commercially available software. The new algorithm improves the image quality significantly at a cost of a few iterations. This technique can be readily exploited for online applications

A Superresolution Image Reconstruction Algorithm Based on Landweber in Electrical Capacitance Tomography

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Chen Deyun

2013-01-01

Full Text Available According to the image reconstruction accuracy influenced by the “soft field” nature and ill-conditioned problems in electrical capacitance tomography, a superresolution image reconstruction algorithm based on Landweber is proposed in the paper, which is based on the working principle of the electrical capacitance tomography system. The method uses the algorithm which is derived by regularization of solutions derived and derives closed solution by fast Fourier transform of the convolution kernel. So, it ensures the certainty of the solution and improves the stability and quality of image reconstruction results. Simulation results show that the imaging precision and real-time imaging of the algorithm are better than Landweber algorithm, and this algorithm proposes a new method for the electrical capacitance tomography image reconstruction algorithm.

SU-E-I-73: Clinical Evaluation of CT Image Reconstructed Using Interior Tomography

International Nuclear Information System (INIS)

Zhang, J; Ge, G; Winkler, M; Cong, W; Wang, G

2014-01-01

Purpose: Radiation dose reduction has been a long standing challenge in CT imaging of obese patients. Recent advances in interior tomography (reconstruction of an interior region of interest (ROI) from line integrals associated with only paths through the ROI) promise to achieve significant radiation dose reduction without compromising image quality. This study is to investigate the application of this technique in CT imaging through evaluating imaging quality reconstructed from patient data. Methods: Projection data were directly obtained from patients who had CT examinations in a Dual Source CT scanner (DSCT). Two detectors in a DSCT acquired projection data simultaneously. One detector provided projection data for full field of view (FOV, 50 cm) while another detectors provided truncated projection data for a FOV of 26 cm. Full FOV CT images were reconstructed using both filtered back projection and iterative algorithm; while interior tomography algorithm was implemented to reconstruct ROI images. For comparison reason, FBP was also used to reconstruct ROI images. Reconstructed CT images were evaluated by radiologists and compared with images from CT scanner. Results: The results show that the reconstructed ROI image was in excellent agreement with the truth inside the ROI, obtained from images from CT scanner, and the detailed features in the ROI were quantitatively accurate. Radiologists evaluation shows that CT images reconstructed with interior tomography met diagnosis requirements. Radiation dose may be reduced up to 50% using interior tomography, depending on patient size. Conclusion: This study shows that interior tomography can be readily employed in CT imaging for radiation dose reduction. It may be especially useful in imaging obese patients, whose subcutaneous tissue is less clinically relevant but may significantly increase radiation dose

Compositional-prior-guided image reconstruction algorithm for multi-modality imaging

Science.gov (United States)

Fang, Qianqian; Moore, Richard H.; Kopans, Daniel B.; Boas, David A.

2010-01-01

The development of effective multi-modality imaging methods typically requires an efficient information fusion model, particularly when combining structural images with a complementary imaging modality that provides functional information. We propose a composition-based image segmentation method for X-ray digital breast tomosynthesis (DBT) and a structural-prior-guided image reconstruction for a combined DBT and diffuse optical tomography (DOT) breast imaging system. Using the 3D DBT images from 31 clinically measured healthy breasts, we create an empirical relationship between the X-ray intensities for adipose and fibroglandular tissue. We use this relationship to then segment another 58 healthy breast DBT images from 29 subjects into compositional maps of different tissue types. For each breast, we build a weighted-graph in the compositional space and construct a regularization matrix to incorporate the structural priors into a finite-element-based DOT image reconstruction. Use of the compositional priors enables us to fuse tissue anatomy into optical images with less restriction than when using a binary segmentation. This allows us to recover the image contrast captured by DOT but not by DBT. We show that it is possible to fine-tune the strength of the structural priors by changing a single regularization parameter. By estimating the optical properties for adipose and fibroglandular tissue using the proposed algorithm, we found the results are comparable or superior to those estimated with expert-segmentations, but does not involve the time-consuming manual selection of regions-of-interest. PMID:21258460

Graduandos em saúde coletiva Brasil: perspectivas, opiniões e críticas sobre os cursos

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João Roberto Cavalcante SAMPAIO

2013-11-01

Full Text Available Introdução: O presente artigo problematiza a graduação em saúde coletiva pela visão dos futuros sanitaristas. Este estudo objetivou abordar as percepções dos alunos dos cursos de Graduação em Saúde Coletiva do Brasil, tendo como foco principal suas perspectivas, opiniões e críticas aos respectivos cursos. Metodologia: Uma pesquisa descritiva, de abordagem qualitativa, junto a amostra de acadêmicos de saúde coletiva de todos os cursos do Brasil que participaram do Primeiro Encontro Nacional dos Estudantes de Saúde Coletiva (ENESC em abril de 2011, no Rio de Janeiro. Realizadas entrevistas individuais com roteiro (semiestruturadas que foram gravadas em vídeo e editadas utilizando a análise temática proposta por Bardin . Resultados: O Sistema único de saúde, depois de 20 anos ganhou um profissional de saúde capacitado para geri-lo. Os resultados da pesquisa também expressaram as angustia dos discentes sob a forma de dúvida quanto ao mercado de trabalho para o sanitarista graduado, demonstrando haver, entretanto, a orientação ora para postura mais integrada às políticas públicas, ora para a consolidação ideológica da reforma sanitária. Conclusão: Os futuros Sanitaristas da graduação em Saúde Coletiva do país têm para si que o curso é inovador e que produzirá profissionais com um novo olhar para a sociedade e para suas questões e demandas de saúde.

Avaliação de programas, serviços e tecnologias em saúde Evaluation of health programs, services and technologies

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Hillegonda Maria D Novaes

2000-10-01

Full Text Available A área de avaliação de programas, serviços e tecnologias em geral e na saúde, em particular, passa por um processo de expansão e diversificação conceitual e metodológica, bem como por uma crescente demanda para se constituir em instrumento de apoio às decisões necessárias à dinâmica dos sistemas e serviços de saúde, na implementação das políticas de saúde. Apoiando-se em uma revisão da literatura internacional especializada, e tomando por referência a década de 90, foram identificados os critérios nucleares que organizam os processos de avaliação, articulando-os com os recortes adotados pelas principais tipologias de avaliação, atualmente institucionalizadas nos países desenvolvidos, avaliação de programas, avaliação e garantia de qualidade em serviços e avaliação de tecnologias. A participação brasileira no desenvolvimento metodológico da área também é analisada.The field of program, services and technology evaluation in general, and in health care in particular, is going through an important growth and conceptual and methodological diversification. It is also the object of an increasing demand for its participation as an effective supportive instrument in the decision-making process, and a constant need in the dynamics of health systems and services. In this paper, based on literature review, nuclear criteria involved in the organization of all evaluation processes are identified, and articulated with the existing institutionalized evaluation practices in developed countries, that is, program evaluation, quality assessment and management and technology assessment. In conclusion, the incipient development of a methodological evaluation output in Brazil is analyzed.

Image reconstruction for a Positron Emission Tomograph optimized for breast cancer imaging