CAVASS: a computer-assisted visualization and analysis software system.
The Medical Image Processing Group at the University of Pennsylvania has been developing (and distributing with source code) medical image analysis and visualization software systems for a long period of time. Our most recent system, 3DVIEWNIX, was first released in 1993. Since that time, a number of significant advancements have taken place with regard to computer platforms and operating systems, networking capability, the rise of parallel processing standards, and the development of open-source toolkits. The development of CAVASS by our group is the next generation of 3DVIEWNIX. CAVASS will be freely available and open source, and it is integrated with toolkits such as Insight Toolkit and Visualization Toolkit. CAVASS runs on Windows, Unix, Linux, and Mac but shares a single code base. Rather than requiring expensive multiprocessor systems, it seamlessly provides for parallel processing via inexpensive clusters of work stations for more time-consuming algorithms. Most importantly, CAVASS is directed at the visualization, processing, and analysis of 3-dimensional and higher-dimensional medical imagery, so support for digital imaging and communication in medicine data and the efficient implementation of algorithms is given paramount importance.
Grevera
George
G
Department of Mathematics and Computer Science, Saint Joseph's University, 5600 City Avenue, Philadelphia, PA 19131, USA. ggrevera@sju.edu
Udupa
Jayaram
J
Odhner
Dewey
D
Zhuge
Ying
Y
Souza
Andre
A
Iwanaga
Tad
T
Mishra
Shipra
S
D000465:Algorithms; D003195:Computer Communication Networks; D003199:Computer Systems; D003628:Database Management Systems; D003952:Diagnostic Imaging; D006801:Humans; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional; D016247:Information Storage and Retrieval; D011873:Radiology Information Systems; D012984:Software; D012985:Software Design; D012986:Software Validation; D018511:Systems Integration; D014584:User-Computer Interface