The architecture and performance of CAVASS

George Grevera; Jayaram Udupa; Dewey Odhner; Ying Zhuge; Andre Souza

doi:10.1117/12.773108

17 March 2008 The architecture and performance of CAVASS

George Grevera, Jayaram Udupa, Dewey Odhner, Ying Zhuge, Andre Souza

Proceedings Volume 6918, Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling; 691833 (2008) https://doi.org/10.1117/12.773108
Event: Medical Imaging, 2008, San Diego, California, United States

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.

Citation Download Citation

George Grevera, Jayaram Udupa, Dewey Odhner, Ying Zhuge, and Andre Souza "The architecture and performance of CAVASS", Proc. SPIE 6918, Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling, 691833 (17 March 2008); https://doi.org/10.1117/12.773108

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