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Abstract

The size of volumetric datasets used in medical environments is increasing at a rapid pace. Due to excessive pre-computation and memory demanding data structures, most current approaches for volume visualization do not meet the requirements of daily clinical routine. In this diploma thesis, an approach for interactive high-quality rendering of large medical data is presented. It is based on image-order raycasting with object-order data traversal, using an optimized cache coherent memory layout. New techniques and parallelization strategies for direct volume rendering of large data on commodity hardware are presented. By using new memory efficient acceleration data structures, high-quality direct volume rendering of several hundred megabyte sized datasets at sub-second frame rates on a commodity notebook is achieved.

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BibTeX

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@mastersthesis{bruckner-2004-EVV,
  title =      "Efficient Volume Visualization of Large Medical Datasets",
  author =     "Stefan Bruckner",
  year =       "2004",
  abstract =   "The size of volumetric datasets used in medical environments
               is increasing at a rapid pace. Due to excessive
               pre-computation and memory demanding data structures, most
               current approaches for volume visualization do not meet the
               requirements of daily clinical routine. In this diploma
               thesis, an approach for interactive high-quality rendering
               of large medical data is presented. It is based on
               image-order raycasting with object-order data traversal,
               using an optimized cache coherent memory layout. New
               techniques and parallelization strategies for direct volume
               rendering of large data on commodity hardware are presented.
               By using new memory efficient acceleration data structures,
               high-quality direct volume rendering of several hundred
               megabyte sized datasets at sub-second frame rates on a
               commodity notebook is achieved.",
  address =    "Favoritenstrasse 9-11/186, A-1040 Vienna, Austria",
  school =     "Institute of Computer Graphics and Algorithms, Vienna
               University of Technology",
  month =      may,
  keywords =   "volume rendering, large data",
  URL =        "http://www.cg.tuwien.ac.at/research/publications/2004/bruckner-2004-EVV/",
}