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Efficient Volume Visualization of Large Medical Datasets

Stefan Bruckner

OTHER PUBLICATION: Master's Thesis, Vienna University of Technology, Austria, 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.

Published

Master's Thesis

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BibTeX

@MASTERSTHESIS{Bruckner-2004-EVV-Thesis,
  author = {Stefan Bruckner},
  title = {Efficient Volume Visualization of Large Medical Datasets},
  school = {Vienna University of Technology, Austria},
  year = {2004},
  month = may,
  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.},
  keywords = {volume rendering, large data},
  url = {http://www.cg.tuwien.ac.at/research/publications/2004/bruckner-2004-EVV/}
}






 Last Modified: Stefan Bruckner, 2014-01-17