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Memory efficient acceleration structures and techniques for CPU-based volume raycasting of large data

Memory efficient acceleration structures and techniques for ...

引用

ieee symposium on Volume visualization and graphics

作者： S. Grimm S. Bruckner A. Kanitsar E. Groller Vienna University of Technology Austria Tiani Medgraph AG Vienna Austria

Most CPU-based volume raycasting approaches achieve high performance by advanced memory layouts, space subdivision, and excessive pre-computing. Such approaches typically need an enormous amount of memory. They are limited to sizes which do not satisfy the medical data used in daily clinical routine. We present a new volume raycasting approach based on image-ordered raycasting with object-ordered processing, which is able to perform high-quality rendering of very large medical data in real-time on commodity computers. For large medical data such as computed tomographic (CT) angiography run-offs (512 /spl times/ 512 /spl times/ 1202) we achieve rendering times up to 2.5 fps on a commodity notebook. We achieve this by introducing a memory efficient acceleration technique for on-the-fly gradient estimation and a memory efficient hybrid removal and skipping technique of transparent regions. We employ quantized binary histograms, granular resolution octrees, and a cell invisibility cache. These acceleration structures require just a small extra storage of approximately 10%.

关键词： Acceleration Rendering (computer graphics) data visualization Space technology Biomedical imaging Hardware Computed tomography Angiography Computer graphics High performance computing

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Transfer function based adaptive decompression for volume rendering of large medical data sets

Transfer function based adaptive decompression for volume re...

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ieee symposium on Volume visualization and graphics

作者： P. Ljung C. Lundstrom A. Ynnerman K. Museth Norrköping Visualization and Interaction Studio Linköping University Sweden Center for Medical Image science and Visualization Sectra-Imtec AB Linköping University Sweden

The size of standard volumetric data sets in medical imaging is rapidly increasing causing severe performance limitations in direct volume rendering pipelines. The methods presented in this paper exploit the medical knowledge embedded in the transfer function to reduce the required bandwidth in the pipeline. Typically, medical transfer functions cause large subsets of the volume to give little or no contribution to the rendered image. Thus, parts of the volume can be represented at low resolution while retaining overall visual quality. This paper introduces the use of transfer functions at decompression time to guide a level-of-detail selection scheme. The method may be used in combination with traditional lossy or lossless compression schemes. We base our current implementation on a multi-resolution data representation using compressed wavelet transformed blocks. The presented results using the adaptive decompression demonstrate a significant reduction in the required amount of data while maintaining rendering quality. Even though the focus of this paper is medical imaging, the results are applicable to volume rendering in many other domains.

关键词： Transfer functions Rendering (computer graphics) Biomedical imaging Image coding data visualization Pipelines Medical diagnostic imaging Bandwidth Computed tomography Image resolution

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The InfoVis Toolkit

The InfoVis Toolkit

引用

ieee symposium on Information visualization (INFOVIS)

作者： J.-D. Fekete INRIA Futurs/LRI Université Paris Sud Orsay France

This article presents the InfoVis toolkit, designed to support the creation, extension and integration of advanced 2D information visualization components into interactive Java swing applications. The InfoVis toolkit provides specific data structures to achieve a fast action/feedback loop required by dynamic queries. It comes with a large set of components such as range sliders and tailored control panels required to control and configure the visualizations. These components are integrated into a coherent framework that simplifies the management of rich data structures and the design and extension of visualizations. Supported data structures currently include tables, trees and graphs. Supported visualizations include scatter plots, time series, parallel coordinates, treemaps, icicle trees, node-link diagrams for trees and graphs and adjacency matrices for graphs. All visualizations can use fisheye lenses and dynamic labeling. The InfoVis toolkit supports hardware acceleration when available through Agile2D, an implementation of the Java graphics API based on OpenGL, achieving speedups of 10 to 200 times. The article also shows how new visualizations can be added and extended to become components, enriching visualizations as well as general applications

关键词： data visualization Tree graphs Java data structures Feedback loop Tree data structures Scattering Lenses Labeling Hardware

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visualization of the energy-containing turbulent scales

Visualization of the energy-containing turbulent scales

引用

ieee symposium on Volume visualization and graphics

作者： A. Helgeland O. Andreassen A. Ommundsen B.A.P. Reif J. Werne T. Gaarder University Graduate Center Kjeller Norway Norwegian Defence Research Establishment Kjeller Norway FFI USA CoRA Division Northwest Research Associates Inc. Boulder CO USA

In this study, we explore a novel approach for visualizing the energetic turbulent structures in a flow field. The flow field is generated by a direct numerical simulation (DNS) of a stratified turbulent shear layer instigated by the Kelvin-Helmholtz instability. The use of so-called structure-based tensors combined with volume rendering seems to be a very promising tool to gain new insight into the dynamically most important part of the turbulence. Rendering of these tensors depicts the large-scale structures that carry most of the turbulence energy. This is in distinct contrast to traditional methods based on derivatives of the velocity field, such as those based on the velocity gradient tensor and vorticity. These methods only capture the smaller-scale structures of the flow. Traditionally, statistical measures are used to handle the enormous amount of data generated by DNS, whereby a lot of detailed information is inevitably lost. The rapid increase in computer performance combined with advanced visualization techniques makes it possible to use a non-statistical or deterministical approach to study the kinematic and dynamic properties of turbulent flows. This paper presents a promising first attempt to render structure-based tensors to see how faithfully they can describe the large-scale structures in a stratified turbulent shear flow.

关键词： data visualization Tensile stress large-scale systems Numerical simulation Computer performance USA Councils Image processing Computer vision Fluid dynamics graphics

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BinX: Dynamic Exploration of Time Series datasets Across Aggregation Levels

BinX: Dynamic Exploration of Time Series Datasets Across Agg...

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ieee symposium on Information visualization (INFOVIS)

作者： L. Berry T. Munzner University of British Columbia Canada

Many fields of study produce time series datasets, and both the size and number of theses datasets are increasing rapidly due to the improvement of data accumulation methods such as small, cheap sensors and routine logging of events. Humans often fail to comprehend the structure of a long time series dataset because of the overwhelming amount of data and the range of different time scales at which there may be meaningful patterns. BinX is an interactive tool that provides dynamic visualization and manipulation of long time series datasets. The dataset is visualized through user controlled aggregation, augmented by various information visualization techniques.

关键词： data visualization Digital TV Humans Manipulator dynamics Exchange rates Chromium Computer graphics large screen displays Monitoring Level control

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3D ROAM for scalable volume visualization

3D ROAM for scalable volume visualization

引用

ieee symposium on Volume visualization and graphics

作者： S. Marchesin J.-M. Dischler C. Mongenet ICPS/IGG LSIIT Université Louis Pasteur Strasbourg France INRIA Lorraine Calvi Project LSIIT Université Louis Pasteur Strasbourg France ICPS LSIIT Université Louis Pasteur Strasbourg France

The 2D real time optimally adapting meshes (ROAM) algorithm has had wide success in the field of terrain visualization, because of its efficient error-controlling properties. In this paper, we propose a generalization of ROAM in 3D suitable for scalable volume visualization. Therefore, we perform a straightforward 2D/3D analogy, replacing the triangle of 2D ROAM by its 3D equivalent, the tetrahedron. Although work in the field of hierarchical tetrahedral meshes was widely undertaken, the produced meshes were not used for volumetric rendering purposes. We explain how to compute a bounded error inside the tetrahedron to build a hierarchical tetrahedral mesh and how to refine this mesh in real time to adapt it to the viewing conditions. We further show how to achieve cell sorting in linear time, thus yielding real time view-dependent display of the volumetric object. We present examples of large volume data sets and compare our approach with a similar one. Our results outline the high quality and computational efficiency of our approach.

关键词： data visualization Rendering (computer graphics) Electronic mail Solid modeling Binary trees Approximation error graphics Sorting Computer displays Computational efficiency

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Topological Fisheye Views for Visualizing large Graphs

Topological Fisheye Views for Visualizing Large Graphs

引用

ieee symposium on Information visualization (INFOVIS)

作者： E. Gansner Y. Koren S. North AT and T Research Laboratories USA

Graph drawing is a basic visualization tool. For graphs of up to hundreds of nodes and edges, there are many effective techniques available. At greater scale, data density and occlusion problems often negate its effectiveness. Conventional pan-and-zoom, and multiscale and geometric fisheye views are not fully satisfactory solutions to this problem. As an alternative, we describe a topological zooming method. It is based on the precomputation of a hierarchy of coarsened graphs, which are combined on the fly into renderings with the level of detail dependent on the distance from one or more foci. We also discuss a related distortion method that allows our technique to achieve constant information density displays

关键词： Tree graphs Computer interfaces Layout Nonlinear distortion data visualization Rendering (computer graphics) Computer displays Chromium Computational geometry Information geometry

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Histographs: Interactive Clustering of Stacked Graphs

Histographs: Interactive Clustering of Stacked Graphs

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ieee symposium on Information visualization (INFOVIS)

作者： Pin Ren B. Watson Northwestern University USA

visualization systems must intuitively display and allow interaction with large multivariate data on low-dimensional displays. One problem often encountered in the process is occlusion: the ambiguity that occurs when records from different data sets are mapped to the same display location. For example, because of occlusion summarizing 1000 graphs by simply stacking them one over another is pointless. We solve this problem by adapting the solution to a similar problem in the Information Murals system [2]: mapping the number of data elements at a location to display luminance. Inspired by histograms, which map data frequency to space, we call our solution histographs. By treating a histograph as a digital image, we can blur and highlight edges to emphasize data features. We also support interactive clustering of the data with data zooming and shape-based selection. We are currently investigating alternative occlusion blending schemes.

关键词： data visualization Displays Frequency Digital images Histograms Image edge detection Stacking Chromium User interfaces Computer graphics

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EventScope: Bringing Remote Experience of Mars to the Public through Telepresence

EventScope: Bringing Remote Experience of Mars to the Public...

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ieee symposium on Information visualization (INFOVIS)

作者： E. Myers P. Coppin M. Wagner K. Fischer Luisa Lu W.R. McCloskey D. Seneker Platform Digital Limited Liability Company STUDIO for Creative Inquiry Carnegie Mellon University USA Robotics Institute Carnegie Mellon University USA

Telepresence, experiencing a place without physically being there, offers an important means for the public experience of remote locations such as distant continents or other planets. EventScope presents one such telepresence visualization interface for bringing scientific missions to the public. Currently, remote experience lessons based on NASA’s Mars Exploration Rover missions are being made available through the EventScope framework to museums, classrooms, and the public at large.

关键词： Mars Computer aided instruction Computer interfaces Physics computing Navigation Computer graphics Astronomy Geoscience Computer science education data visualization

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Uncovering Clusters in Crowded parallel Coordinates visualizations

Uncovering Clusters in Crowded Parallel Coordinates Visualiz...

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ieee symposium on Information visualization (INFOVIS)

作者： A.O. Artero M.C.F. de Oliveira H. Levkowitz Department of Computer Science University of São Paulo Brazil Department of Computer Science University of São Paulo Department of Computer Science University of Massachusetts USA

The one-to-one strategy of mapping each single data item into a graphical marker adopted in many visualization techniques has limited usefulness when the number of records and/or the dimensionality of the data set are very high. In this situation, the strong overlapping of graphical markers severely hampers the user's ability to identify patterns in the data from its visual representation. We tackle this problem here with a strategy that computes frequency or density information from the data set, and uses such information in parallel coordinates visualizations to filter out the information to be presented to the user, thus reducing visual clutter and allowing the analyst to observe relevant patterns in the data. The algorithms to construct such visualizations, and the interaction mechanisms supported, inspired by traditional image processing techniques such as grayscale manipulation and thresholding are also presented. We also illustrate how such algorithms can assist users to effectively identify clusters in very noisy large data sets

关键词： data visualization Clustering algorithms Concurrent computing Frequency Information filtering Information filters Information analysis Pattern analysis Image processing Gray-scale

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