Bruckner, S: Efficient Volume Visualization of Large Medical
(Sprache: Englisch)
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...
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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.
Autoren-Porträt von Stefan Bruckner
Stefan Bruckner graduated from the Vienna University of Technology, Austria in 2004 with a MSc degree. He recieved a PhD degree in 2008 from the same university. His research interests include scientific visualization, computer graphics, and human computer interaction.
Bibliographische Angaben
- Autor: Stefan Bruckner
- 2008, 124 Seiten, Maße: 15 x 22 cm, Kartoniert (TB), Englisch
- Verlag: VDM Verlag
- ISBN-10: 3639009088
- ISBN-13: 9783639009088
Sprache:
Englisch
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