The architecture and performance of CAVASS

摘要

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.