A Flexible Multi-Volume Shader Framework for Arbitrarily Intersecting Multi-Resolution Datasets

Plate, John; Holtkaemper, T.; Froehlich, Bernd

doi:10.1109/tvcg.2007.70534

Cited by 38 publications

(21 citation statements)

References 8 publications

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“…Viewing rays are segmented into mono-and multi-volume clusters to improve cache performance. Other CPU side data structures have also been proposed, including pre-sorted texture slices [100], octree representations [79,90] as well as BSP [66,79].…”

Section: Geometry Based Approaches To Multi-volume Fusionmentioning

confidence: 99%

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Medical Volume Visualization Beyond Single Voxel Values

Lindholm¹

2014

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Acknowledgments AbstractMedical visualization involves many complex decisions for both the user and the imaging algorithms. This thesis aims to improve medical volume visualization through a series of technical contributions to aid such decision processes. Improvements are achieved by using more data, beyond single voxels, in the associated visual analyses.Simultaneous visualization of multiple data sources and different data formats is rapidly becoming a necessity. This is due to both the growing number of data producing image acquisition techniques as well as the increase in geometric data representations that can be created. Maintaining high rendering performance under these circumstances is challenging, but necessary, to support an exploratory visualization process. This thesis proposes two algorithms to address this challenge: a multi-volume approach that applies binary-space partitioning to solve painters' algorithm geometrically and a rendering algorithm for hybrid data that improves the management of the available graphics memory.Additional information for decision support is often derived from the captured image data. Classification techniques, in particular, often utilize secondary information sources or neighborhood analysis as means to improve specificity. One example is a proposed algorithm that improves visualization of blood vessels by automatically optimizing visualization parameters based on observed vesselness. This thesis also proposes algorithms involving neighborhood analysis, with a particular focus on domain specific classification knowledge provided by the user. One algorithm provides the ability to semantically state spatial relations between tissues based on encoded material information. Another algorithm improves the representation of discrete features by integrating the users' knowledge in the reconstruction step of the visualization pipeline.Many of the methods proposed in this thesis can also be applied to other domains, but are all described here in the context of medical volume visualization as most of the research has been performed within this field.v Populärvetenskaplig SammanfattningMedicinsk visualisering involverar en mängd komplexa beslut, både för användaren och för bildsystemet. I många fall handlar dessa beslut om vilken information som skall visas och hur den skall visas. Utfallen av dessa beslut kan potentiellt förbättras ju mer data som inkluderas i beslutsprocessen bortom enskilda voxlar. Den här avhandlingen avser att förbättra och effektivisera medicinsk volumsvisualisering genom en rad tekniska forskningsbidrag.Samtidig visualisering av multipla datakällor och olika dataformat är snabbt på väg att bli en nödvändighet. Dels på grund av det växande antalet dataproducerande bildmetoder, men även på grund av det stigande antalet geometriska representationer som kan skapas. Att producera snabba effektiva renderingar under dessa förutsättningar är svårt, men också nödvändigt för att stödja den ofta explorativa visualiseringsprocessen. Ytterligare information för besluts...

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Section: Geometry Based Approaches To Multi-volume Fusionmentioning

confidence: 99%

“…Depth peeling is commonly applied either directly to the volume bounding boxes [8,101] or on specialized focus lenses over underlying octrees [90].…”

Section: Depth Peeling and The Transition To The Gpumentioning

confidence: 99%

Medical Volume Visualization Beyond Single Voxel Values

Lindholm¹

2014

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“…Several aspects for 3D visualization of seismic volumes have been investigated in earlier works. Plate et al [26,25] and Castanie et al [7] discuss handling multiple large seismic volumes in the rendering pipeline. Ropinski et al [29] discuss volume rendering of seismic data in VR with volumetric cutouts.…”

Section: Related Workmentioning

confidence: 99%

Seismic volume visualization for horizon extraction

Patel

Brückner

Viola

et al. 2010

2010 IEEE Pacific Visualization Symposium (PacificVis)

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Seismic horizons indicate change in rock properties and are central in geoscience interpretation. Traditional interpretation systems involve time consuming and repetitive manual volumetric seeding for horizon growing. We present a novel system for rapidly interpreting and visualizing seismic volumetric data. First we extract horizon surface-parts by preprocessing the seismic data. Then during interaction the user can assemble in realtime the horizon parts into horizons. Traditional interpretation systems use gradient-based illumination models in the rendering of the seismic volume and polygon rendering of horizon surfaces. We employ realtime gradientfree forward-scattering in the rendering of seismic volumes yielding results similar to high-quality global illumination. We use an implicit surface representation of horizons allowing for a seamless integration of horizon rendering and volume rendering. We present a collection of novel techniques constituting an interpretation and visualization system highly tailored to seismic data interpretation.

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“…However, these systems only focus on the shader development and do not provide the visual programming paradigm on all abstraction levels. Plate et al introduced a framework for rendering arbitrarily intersecting volumes with the support of volume lenses (Plate et al, 2007). Each configuration is tiled into convex regions, which are rendered separately using a slicing algorithm.…”

Section: Related Workmentioning

confidence: 99%

Interactive Design and Debugging of Gpu-Based Volume Visualizations

Meyer-Spradow

Ropinski

Mensmann

et al. 2010

Proceedings of the International Conference on Computer Graphics Theory and Applications

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Abstract:There is a growing need for custom visualization applications to deal with the rising amounts of volume data to be analyzed in fields like medicine, seismology, and meteorology. Visual programming techniques have been used in visualization and other fields to analyze and visualize data in an intuitive manner. However, this additional step of abstraction often results in a performance penalty during the actual rendering. In order to prevent this impact, a careful modularization of the required processing steps is necessary, which provides flexibility and good performance at the same time. In this paper, we will describe the technical foundations as well as the possible applications of such a modularization for GPU-based volume raycasting, which can be considered the state-of-the-art technique for interactive volume rendering. Based on the proposed modularization on a functional level, we will show how to integrate GPU-based volume ray-casting in a visual programming environment in such a way that a high degree of flexibility is achieved without any performance impact.

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A Flexible Multi-Volume Shader Framework for Arbitrarily Intersecting Multi-Resolution Datasets

Cited by 38 publications

References 8 publications

Medical Volume Visualization Beyond Single Voxel Values

Medical Volume Visualization Beyond Single Voxel Values

Seismic volume visualization for horizon extraction

Interactive Design and Debugging of Gpu-Based Volume Visualizations

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