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Evaluation of Depth of Field for depth perception in DVR

Evaluation of Depth of Field for depth perception in DVR

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Pacific (formerly Asia-Pacific APVIS) visualization symposium

作者： A.V.Pascal Grosset Mathias Schott Georges-Pierre Bonneau Charles D. Hansen School of Computing and SCI Institute University of Utah USA NVIDIA-School of Computing and SCI Institute University of Utah USA LJK INRIA Grenoble University France

In this paper we present a user study on the use of Depth of Field for depth perception in Direct volume Rendering. Direct volume Rendering with Phong shading and perspective projection is used as the baseline. Depth of Field is then added to see its impact on the correct perception of ordinal depth. Accuracy and response time are used as the metrics to evaluate the usefulness of Depth of Field. The onsite user study has two parts: static and dynamic. Eye tracking is used to monitor the gaze of the subjects. From our results we see that though Depth of Field does not act as a proper depth cue in all conditions, it can be used to reinforce the perception of which feature is in front of the other. The best results (high accuracy & fast response time) for correct perception of ordinal depth occurs when the front feature (out of the two features users were to choose from) is in focus and perspective projection is used.

关键词： Rendering (computer graphics) Lenses Educational institutions Accuracy Aneurysm Image color analysis

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Multidimensional Projections to Explore Time-Varying Multivariate volume Data

Multidimensional Projections to Explore Time-Varying Multiva...

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Brazilian symposium on Computer graphics and Image Processing (SIBGRAPI)

作者： Christian Wong Maria Cristina F. Oliveira Rosane Minghim Instituto de Ciências Matemáticas e de Computação Universidade de São Paulo São Carlos/SP Brazil

Multidimensional Projections (MPs) have become popular as visual data analysis tools in several application domains, including Scientific visualization. Current techniques are fast, precise and capable of handling local and global data features, having successfully supported spatial and abstract data visualizations. However, two major shortcomings hinder their application for exploratory analysis of time-varying multivariate volumetric data. Current techniques lack visual coherence when applied to data collected across consecutive time stamps and offer little support to investigating attribute-specific questions. Both are relevant properties when analysing time varying volumes. In this paper we revisit projection methods from this perspective and introduce modifications into two existing high-performance techniques to ensure temporal coherence. We also propose a hybrid visualization strategy that can assist users investigating the role of a specific attribute on data behavior through time. We illustrate how our approaches enhance projection-based visual exploration of time-varying multivariate volume data with their application to data sets from three distinct simulations, made available for editions of the ieee visualization Contest.

关键词： Layout Data visualization Stress Vectors Coherence Explosions Data models

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A flexible Java GPU-enhanced visualization framework and its applications

A flexible Java GPU-enhanced visualization framework and its...

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25th International symposium on Computer-Based Medical Systems (CBMS)

作者： Cheng, Ruida Senseney, Justin Pandya, Nishith McCreedy, Evan McAuliffe, Matthew J. Bokinsky, Alexandra Natl Inst Hlth Imaging Sci Lab Ctr Informat Technol Bethesda MD 20892 USA Geometr Tools Inc Chapel Hill NC USA

ISBN: (纸本)9781467320511

A flexible biomedical visualization framework implemented with Java, OpenGL, and OpenCL performs efficient volume rendering with large, multi-modal datasets. The,framework takes advantage of the parallel processing power on modern graphics hardware with novel Open CL and GLSL shading language implementations. The Java and GPU environment provide portable advanced biomedical image visualization applications. Several applications built on top of the GPU framework are also presented to show the extensibility of the application. These include multi-surface rendering, stereoscopic rendering, image fusion, and diffusion tensor visualization.

关键词： graphics processing unit

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Fusion of 3D echo and cardiac magnetic resonance volumes during live scanning

Fusion of 3D echo and cardiac magnetic resonance volumes dur...

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ieee International Ultrasonics symposium

作者： Gabriel Kiss Steven Ford Piet Claus Jan D'hooge Hans Torp Norwegian University of Science and Technology MI Lab and Department of Circulation and Medical ImagingTrondheim Norway Department of Cardiovascular Sciences KU Leuven Leuven Belgium

ISBN: (纸本)9781467356855

The aim of this project was to develop a method for real-time alignment and visualization of 3D echo and CMR volumes during a live 3D echocardiographic scan and to demonstrate its applicability in a typical ultrasound scanning scenario. Methods: A customized streaming plugin has been implemented in VTK (Kitware Inc.) that has the ability of receiving a live stream of 3D echo data from an ultrasound scanner (GE Vivid E9) using a standard TCP/IP connection. Once received the echo data is scan converted on the GPU and segmented using the RCTL (Real-time Contour Tracking Library) framework. Four anatomic landmarks are computed automatically based on the RCTL tracking results. These are the apex and base of the left ventricle, middle of the outflow tract and the basal attachment point of the right ventricle. The same landmarks are manually identified in the CMR recording, prior to the scanning. Using the two sets of corresponding landmarks a rigid transformation can be computed and the 3D echo data deformed accordingly. The percentage of valid edge detections along the LV surface is also computed and fusion will be carried out only if the fit quality is above a predefined threshold, by this discarding poor quality data. Time synchronization is achieved by considering the frame with the largest volume as end diastole. Results: For testing purposes pre-recorded data of three subjects with myocardial infarction, that underwent 3D echo and CMR short- long-axis cine the same day, has been selected. The alignment process was successful in all cases. Furthermore, the system was also tested on a healthy volunteer during a real-time scanning scenario. It was shown that the alignment was feasible once a good quality 3D recording was available. The streaming, scan conversion, segmentation and alignment of the data can be carried out at a speed of 6 frames per second. Conclusion: A novel method for fusing and visualizing 3D echo and CMR volumes during an ultrasound scan is presented

关键词： GPU RCTL ECG Echoes Fusion reactions electrochemical grinding Electrocardiography Three Dimensions Ultrasonography Colossal magnetoresistance scanning Fusion, biological Alignment fusion (melting) FUSION GRAPPER PICK UP graphics Processing Unit Anatomic Models

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Interactive transfer function design on large multiresolution volumes

Interactive transfer function design on large multiresolutio...

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2nd symposium on Large-Scale Data Analysis and visualization, LDAV 2012

作者： Martin, Steven Shen, Han-Wei Ohio State University United States

ISBN: (纸本)9781467347334

Interactive transfer function design techniques seek to leverage user knowledge to facilitate the discovery of data salience. In this process, interactive volume rendering is typically a necessity. Interactive volume rendering of large-scale data on workstations is often accomplished through the use of level of detail techniques, prioritizing information deemed to be salient over information deemed to be unimportant. If salience is not known a priori, and interactive transfer function design techniques that depend on volume rendering are to be applied to large-scale data using level of detail selection, then there is a cyclic dependency. Techniques must be applied that can support simultaneous development of salience both for the transfer function design technique and the level of detail selection technique. Building on recent work in LOD selection, we propose an interactive transfer function design technique that enables incremental salience discovery to support simultaneous construction of transfer functions and LOD selections on large-scale data. © 2012 ieee.

关键词： volume rendering

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ieee symposium on Biological Data visualization 2012, BioVis 2012 - Proceedings

IEEE Symposium on Biological Data Visualization 2012, BioVis...

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2nd ieee symposium on Biological Data visualization, BioVis 2012

ISBN: (纸本)9781467347303

The proceedings contain 16 papers. The topics discussed include: interactive extraction of neural structures with user-guided morphological diffusion;volume visualization in serial electron microscopy using local variance;INCIDE the brain of a bee: visualising honeybee brain activity in real time by semantic segmentation;towards real-time visualization of detailed neural tissue models: view frustum culling for parallel rendering;heterogeneity-based guidance for exploring multiscale data in systems biology;MaTSE: the microarray time-series explorer;ADVISe: visualizing the dynamics of enzyme annotations in UniProt/SwissProt;gene-RiViT: a visualization tool for comparative analysis of gene neighborhoods in prokaryote;mzRepeat: visual analysis of lipids in mass spectrometry;similarity analysis of cell movements in video microscopy;and epithelial cell reconstruction and visualization of the developing drosophila wing imaginal disc.

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Gaussian mixture model based volume visualization

Gaussian mixture model based volume visualization

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2nd symposium on Large-Scale Data Analysis and visualization, LDAV 2012

作者： Liu, Shusen Levine, Joshua A. Bremer, Peer-Timo Pascucci, Valerio

ISBN: (纸本)9781467347334

Representing uncertainty when creating visualizations is becoming more indispensable to understand and analyze scientific data. Uncertainty may come from different sources, such as, ensembles of experiments or unavoidable information loss when performing data reduction. One natural model to represent uncertainty is to assume that each position in space instead of a single value may take on a distribution of values. In this paper we present a new volume rendering method using per voxel Gaussian mixture models (GMMs) as the input data representation. GMMs are an elegant and compact way to drastically reduce the amount of data stored while still enabling realtime data access and rendering on the GPU. Our renderer offers efficient sampling of the data distribution, generating renderings of the data that flicker at each frame to indicate high variance. We can accumulate samples as well to generate still frames of the data, which preserve additional details in the data as compared to either traditional scalar indicators (such as a mean or a single nearest neighbor down sample) or to fitting the data with only a single Gaussian per voxel. We demonstrate the effectiveness of our method using ensembles of climate simulations and MRI scans as well as the down sampling of large scalar fields as examples. © 2012 ieee.

关键词： visualization

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ieee symposium on Large Data Analysis and visualization 2012, LDAV 2012 - Proceedings

IEEE Symposium on Large Data Analysis and Visualization 2012...

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2nd symposium on Large-Scale Data Analysis and visualization, LDAV 2012

ISBN: (纸本)9781467347334

The proceedings contain 18 papers. The topics discussed include: panning and zooming the observable universe with subsequence-matching trees;interactive exploration of large-scale time-varying data using dynamic tracking graphs;interactive transfer function design on large multiresolution volumes;query-driven parallel exploration of large datasets;efficient parallel extraction of crack-free isosurfaces from adaptive mesh refinement (AMR) data;parallel stream surface computation for large data sets;salient time steps selection from large scale time-varying data sets with dynamic time warping;Gaussian mixture model based volume visualization;virtual rheoscopic fluids for dense, large-scale fluid flow visualizations;meta parallel coordinates for visualizing features in large, high-dimensional, time-varying data;redirecting research in large-format displays for visualization;flow-guided file layout for out-of-core pathline computation;and scalable computation of distributions from large scale data sets.

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volume visualization in serial electron microscopy using local variance

Volume visualization in serial electron microscopy using loc...

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2nd ieee symposium on Biological Data visualization, BioVis 2012

作者： Mayerich, David Hart, John C. Beckman Institute for Advanced Science and Technology University of Illinois Urbana-Champaign IL United States Department of Computer Science University of Illinois Urbana-Champaign IL United States

ISBN: (纸本)9781467347303

High-throughput microscopy allows researchers to produce large volumetric images of biological tissue at sub-micrometer resolution. Serial electron microscopy (EM) has the ability to improve three-dimensional imaging dramatically by providing nanometer-scale resolution. Serial EM data sets of brain tissue can potentially be used to reconstruct the complex structure of biological neural networks. These data sets consist of gigabytes of volumetric data densely packed with anatomical information. This makes three-dimensional EM data sets difficult to visualize. In this paper, we present new methods for visualizing EM data sets using a novel transfer function based on the local variance of volumetric features. We first construct a tensor field that describes the local shape and orientation of structures. These tensors are then used to visualize anatomical features such as cell bodies, membranes, and fibers. We do this by using the tensor shape and orientation to design transfer functions that allow selective visualization of features in dense EM image stacks. © 2012 ieee.

关键词： Transfer functions

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Visibility driven visualization of 3D cardiac ultrasound data on the GPU

Visibility driven visualization of 3D cardiac ultrasound dat...

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ieee International Ultrasonics symposium (IUS)

作者： Bronstad, Espen Stene Asen, Jon Petter Torp, Hans G. Kiss, Gabriel Norwegian Univ Sci & Technol Dept Phys N-7034 Trondheim Norway

ISBN: (纸本)9781467345620;9781467345613

Direct volume rendering (DVR) has become a widely used technique for visualizing anatomical structures in medical 3D datasets The aim of this study was to locally adapt the opacity transfer function (OTF) in order to improve the results achieved when rendering 3D echocardiographic datasets using DVR. A novel approach for defining locally adaptive OTFs has been tested and adapted to echo data and implemented on the GPU. The local OTF is modeled as a truncated second order polynomial. The algorithm locates significant transitions along the ray profile (feature detection along the ray) in order to estimate an opacity threshold (below which all values are considered transparent) and the steepness of the polynomial for each ray. A reference global OTF and the locally adaptive algorithm have been implemented on a GPU using OpenCL and tested on a dataset of nine 3D echo recordings. The rendering resolution is 512x512x300, while average timing is 28ms, 104ms for the reference and the new method respectively. The locally adaptive OTFs were able to compensate for high variations in tissue (and such reducing wall drop-outs) and blood pool signal (reducing spurious structures inside the cavity). The method depends on a number of user defined parameters, determining these values robustly is subject of ongoing research.

关键词： biological tissues blood data visualisation echocardiography feature extraction graphics processing units medical image processing rendering (computer graphics)

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