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Annual International Conference of the IEEE Engineering in Medicine and Biology Society

作者： Changgong Zhang Martijn van de Giessen Elmar Eisemann Anna Vilanova Section of Computer Graphics and Visualization Delft University of Technology Division of Image Processing Department of Radiology Leiden University Medical Center

ISBN: (纸本)9781424479276

Compressed sensing (CS) magnetic resonance imaging (MRI) enables the reconstruction of MRI images with fewer samples in k-space. One requirement is that the acquired image has a sparse representation in a known transform domain. MR angiograms are already sparse in the image domain. They can be further sparsified through finite-differences. Therefore, it is a natural application for CS-MRI. However, low-contrast vessels are likely to disappear at high under-sampling ratios, since the commonly used l_1 reconstruction tends to underestimate the magnitude of the transformed sparse coefficients. These vessels, however, are likely to be clinically important for medical diagnosis. To avoid the fading of low-contrast vessels, we propose a user-guided CS MRI that is able to mitigate the reduction of vessel contrast within a region of interest (ROI). Simulations show that these low-contrast vessels can be well maintained via our method which results in higher local quality compared to conventional CS.

关键词： Image reconstruction Magnetic resonance imaging Compressed sensing Minimization Angiography Transforms Fading

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Highlights from the 5th Symposium on Biological Data visualization: Part 2

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BMC proceedings 2015年第SUPPL 6 PROCEEDINGS OF THE 5TH SYMPOSIUM ON BIOLOGICAL DATA期9卷 S1页

作者： Jan Aerts G Elisabeta Marai Kay Nieselt Cydney Nielsen Marc Streit Daniel Weiskopf Visual Data Analysis Lab ESAT/STADIUS KU Leuven Kasteelpark Arenberg 10 3001 Leuven Belgium iMinds Medical IT KU Leuven Kasteelpark Arenberg 10 3001 Leuven Belgium. Electronic Visualization Lab University of Illinois at Chicago 851 S. Morgan St Chicago IL 60607 USA. Center for Bioinformatics University of Tübingen Sand 14 72076 Tübingen Germany. Department of Pathology and Laboratory Medicine University of British Columbia and British Columbia Cancer Agency 675 West 10th Avenue Vancouver British Columbia V5Z 1L3 Canada. Institute of Computer Graphics Johannes Kepler University Linz Altenberger Straße 69 4020 Linz Austria. VISUS University of Stuttgart Allmandring 19 70569 Stuttgart Germany.

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Low-cost automatic inpainting for artifact suppression in facial images

Low-cost automatic inpainting for artifact suppression in fa...

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8th International Conference on computer Vision Theory and Applications, VISAPP 2013

作者： Sobiecki, André Telea, Alexandru Giraldi, Gilson Neves, Luiz Antonio Pereira Thomaz, Carlos Eduardo Scientific Visualization and Computer Graphics University of Groningen Nijenborgh 9 Groningen Netherlands Department of Computing National Laboratory of Scientific Computation Petŕopolis Brazil Department of Computing Parańa Federal University Curitiba Brazil Department of Artificial Intelligence Applied on Automation University Center of FEI Sao Bernardo do Campo Brazil

ISBN: (纸本)9789898565471

Facial images are often used in applications that need to recognize or identify persons. Many existing facial recognition tools have limitations with respect to facial image quality attributes such as resolution, face position, and artifacts present in the image. In this paper we describe a new low-cost framework for preprocessing low-quality facial images in order to render them suitable for automatic recognition. For this, we first detect artifacts based on the statistical difference between the target image and a set of pre-processed images in the database. Next, we eliminate artifacts by an inpainting method which combines information from the target image and similar images in our database. Our method has low computational cost and is simple to implement, which makes it attractive for usage in low-budget environments. We illustrate our method on several images taken from public surveillance databases, and compare our results with existing inpainting techniques.

关键词： Database systems

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62. The virtual surgical pelvis: A highly-detailed 3D pelvic model for anatomical education and surgical simulation

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European Journal of Surgical Oncology 2014年第11期40卷 S32-S32页

作者： Kraima, A. Smit, N.N. Jansma, D. West, N.P. Quirke, P. Rutten, H.J. Vilanova, A. Van de Velde, C.J.H. DeRuiter, M.C. Leiden University Medical Center Leiden Netherlands Delft University of Technology Computer Graphics and Visualization Delft Netherlands Leiden University Medical Center Anatomy & Embryology Leiden Netherlands Leeds Institute of Cancer and Pathology Pathology Anatomy and Tumour Biology Leeds United Kingdom Catherina Hospital Eindhoven Surgery Eindhoven Netherlands Leiden University Medical Center Surgery Leiden Netherlands

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BrainCove: A tool for voxel-wise fMRI brain connectivity visualization

BrainCove: A tool for voxel-wise fMRI brain connectivity vis...

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3rd Eurographics Workshop on VisualComputing in Biology and Medicine, EG VCBM 2012

作者： Van Dixhoorn, A.F. Milles, J. Van Lew, B. Botha, C.P. Computer Graphics and Visualization Dept. of INSY Delft University of Technology Delft Netherlands LKEB Dept. of Radiology Leiden University Medical Center Leiden Netherlands

ISBN: (纸本)9783905674385

Functional brain connectivity from fMRI studies has become an important tool in studying functional interactions in the human brain as a complex network. Most recently, research has started focusing on whole brain functional networks at the voxel-level, where fMRI time-signals at each voxel are correlated with every other voxel in the brain to determine their functional connectivity. For a typical 4mm isotropic voxel resolution, this results in connectivity networks with more than twenty thousand nodes and over 400 million links. These cannot be effectively visualized or interactively explored using node-link representations, and due to their size are challenging to show as correlation matrix bitmaps. In this paper, we present a number of methods for the visualization and interactive visual analysis of this new high resolution brain network data, both in its matrix representation as well as in its anatomical context. We have implemented these methods in a GPU raycasting framework that enables real-time interaction, such as network probing and volume deformation, as well as real-time filtering. The techniques are integrated in a visual analysis application in which the different views are coupled, supporting linked interaction. Furthermore, we allow visual comparison of different brain networks with side-by-side and difference visualization. We have evaluated our approach via case studies with domain scientists at two different university medical centers. © The Eurographics Association 2012.

关键词： visualization

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Adaptive camera-based color mapping for mixed-reality applications

Adaptive camera-based color mapping for mixed-reality applic...

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International Symposium on Mixed and Augmented Reality (ISMAR)

作者： Martin Knecht Christoph Traxler Werner Purgathofer Michael Wimmer Institute of Computer Graphics and Algorithms University of Technology Vienna Austria VRVis Research Center for Virtual Reality and Visualization Austria

We present a novel adaptive color mapping method for virtual objects in mixed-reality environments. In several mixed-reality applications, added virtual objects should be visually indistinguishable from real objects. Recent mixed-reality methods use global-illumination algorithms to approach this goal. However, simulating the light distribution is not enough for visually plausible images. Since the observing camera has its very own transfer function from real-world radiance values to RGB colors, virtual objects look artificial just because their rendered colors do not match with those of the camera. Our approach combines an on-line camera characterization method with a heuristic to map colors of virtual objects to colors as they would be seen by the observing camera. Previous tone-mapping functions were not designed for use in mixed-reality systems and thus did not take the camera-specific behavior into account. In contrast, our method takes the camera into account and thus can also handle changes of its parameters during runtime. The results show that virtual objects look visually more plausible than by just applying tone-mapping operators.

关键词： Image color analysis Cameras Virtual reality Color Lighting Rendering (computer graphics) visualization

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System for inspection of large high-resolution radiography datasets

System for inspection of large high-resolution radiography d...

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IEEE Conference on Aerospace

作者： Tom Wypych So Yamaoka Kevin Ponto Falko Kuester San Diego Department of Computer Science and Engineering CalIT2 Center of Graphics Visualization and Virtual Reality (GRAVITY) University of California USA

High-resolution image collections pose unique challenges to analysts tasked with managing the associated data assets and deriving new information from them. While significant progress has been made towards rapid automated filtering, alignment, segmentation, characterization, and feature identification from image collections, the extraction of new insights still strongly depends on human intervention. In real-time capture and immediate-mode analysis environments where image data has to be continuously and interactively processed, a broad set of challenges in the image-driven verification and analysis cycle have to be addressed. A framework for interactive and intuitive inspection of large, high-resolution image data sets is presented, leveraging the strength of the human visual system for large-scale image processing. A case study is provided for an X-ray radiography system, covering the scanner-to-screen data management and representation pipeline, resulting in a visual analytics environment enabling analytical reasoning by means of interactive and intuitive visualization.

关键词： Imaging Inspection Data visualization X-ray imaging Visual analytics Pixel Radar imaging

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Advanced illumination techniques for GPU-based volume raycasting 09

Advanced illumination techniques for GPU-based volume raycas...

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ACM SIGGRAPH 2009 Courses, SIGGRAPH '09

作者： Hadwiger, Markus Ljung, Patric Salama, Christof Rezk Ropinski, Timo VRVis Research Center for Virtual Reality and Visualization Donau-City-Straße 1 A-1220 Vienna Austria Siemens Corporate Research Imaging and Visualization Department 755 College Road East Princeton NJ 08540 United States Computer Graphics Group University of Siegen Hölderlinstr. 3 57068 Siegen Germany Visualization and Computer Graphics Research Group University of Münster Einsteinstr. 62 48149 Münster Germany

ISBN: (纸本)9781450379380

Volume raycasting techniques are important for both visual arts and visualization. They allow efficient generation of visual effects and visualization of scientific data obtained by tomography or numerical simulation. Volume-rendering techniques are also effective for direct rendering of implicit surfaces used for soft-body animation and constructive solid geometry. The focus of this course is on volumetric illumination techniques that approximate physically based light transport in participating media. Such techniques include interactive implementation of soft and hard shadows, ambient occlusion, and simple Monte Carlo-based approaches to global illumination, including translucency and scattering.

关键词： visualization

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Cross-talk measurement for 3D dispalays

Cross-talk measurement for 3D dispalays

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3DTV Conference

作者： Vaclav Skala Center of Computer Graphics and Visualization Faculty of Applied Sciences Department of Computer Science and Engineering University of West Bohemia Plzen Czech Republic

3D displays are coming phenomenon of the nearest future and it is expected that 3D displays will be widely available soon. There are currently some 3D displays available and also some notebooks with 3D display as Sharp AL3D. The viewing position is quite restricted spatially in the case of 3D displays and also the (visual information for the left eye is taken by the right eye and vice versa) causes some severe problems in 3D image perception. This paper addresses several issues concerning 3D perception based on stereo-images. Another issues related to 3D stereo video perception, like discontinuities between frames etc. are not described here.

关键词： Three dimensional displays Testing visualization Cameras Optical distortion computer aided manufacturing CADCAM Geographic Information Systems Chromium Frequency

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Automated 3D heart segmentation by search rays for building individual conductor models

Automated 3D heart segmentation by search rays for building ...

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Medical Imaging 2009: visualization, Image-Guided Procedures, and Modeling

作者： Kim, Jaeil Kim, Seokyeol Kim, Kiwoong Park, Jinah Computer Graphics and Visualization Laboratory Information and Communications University 119 Munji-ro Yusung-gu Daejeon Korea Republic of Center for Brain and Cognitive Science Research Korea Research Institute of Standards and Science 209 Gajung-ro Yusung-gu Daejeon Korea Republic of

ISBN: (纸本)9780819475121

Magnetocardiograph (MCG) is one of the most useful diagnosing tools for myocardial ischemic diseases and the conduction abnormality, since the technique directly measures magnetic fields generated by myocardial currents without distortion in a non-invasive way. To localize the current source accurately, building a patient-specific conductor model is indispensable. In this paper, we present the method to automatically construct a patient-specific three-dimensional (3D) mesh model of a human thorax and a heart consisting of pericardium and four chambers. We represent the standard thorax model by simplex meshes, and deform them to fit into the individual CT data to reconstruct accurate surface representations for the MCG conductor model. The deformable simplex mesh model deforms based on the external forces exerted by the edge and gradient components of the source volume data while its internal force acts to maintain the integrity of the shape. However, image driven deformation is often very sensitive to its initial position. Therefore, we suggest our solution to automatic region-of-interest (ROI) detection using search rays, which are casted to 3D volume images to identify the region of a heart based on both the radiodensity values and their continuity along the path of the rays. Upon automatic ROI detection with search rays, the initial position and orientation of the standard mesh model is determined, and each vertex of the model is respectively moved by the weighted sum of the internal and eternal forces to conform to the each patient's own thorax and heart shape while minimizing the user's input. © 2009 SPIE.

关键词： Heart

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