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Proceedings Paper

The architecture and performance of CAVASS
Author(s): George Grevera; Jayaram Udupa; Dewey Odhner; Ying Zhuge; Andre Souza
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Paper Abstract

Our group has been developing medical image software systems since the early 1980s. Our latest system, CAVASS, is freely available, open source, integrated with popular toolkits, and runs on Windows, Unix, Linux, and Mac OS. The architecture of CAVASS incorporates parallel processing by exploiting inexpensive networks of workstations. CAVASS is directed at the visualization, processing, and analysis of nD medical imagery, so support for large medical imagery data and the efficient implementation of algorithms is given paramount importance. We describe the architecture of CAVASS, the parallelization strategy, and present the results of comparing the implementation of CAVASS algorithms with similar algorithms in ITK and VTK for a host of operations.

Paper Details

Date Published: 17 March 2008
PDF: 9 pages
Proc. SPIE 6918, Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling, 691833 (17 March 2008); doi: 10.1117/12.773108
Show Author Affiliations
George Grevera, St. Joseph's Univ. (United States)
Univ. of Pennsylvania (United States)
Jayaram Udupa, Univ. of Pennsylvania (United States)
Dewey Odhner, Univ. of Pennsylvania (United States)
Ying Zhuge, Univ. of Pennsylvania (United States)
Andre Souza, Univ. of Pennsylvania (United States)

Published in SPIE Proceedings Vol. 6918:
Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling
Michael I. Miga; Kevin Robert Cleary, Editor(s)

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