CAVASS: a computer-assisted visualization and analysis software system - image processing aspects

Jayaram K. Udupa; George J. Grevera; Dewey Odhner; Ying Zhuge; Andre Souza; Shipra Mishra; Tad Iwanaga

doi:10.1117/12.709841

22 March 2007 CAVASS: a computer-assisted visualization and analysis software system - image processing aspects

Jayaram K. Udupa, George J. Grevera, Dewey Odhner, Ying Zhuge, Andre Souza, Shipra Mishra, Tad Iwanaga

Proceedings Volume 6509, Medical Imaging 2007: Visualization and Image-Guided Procedures; 65091V (2007) https://doi.org/10.1117/12.709841
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

The development of the concepts within 3DVIEWNIX and of the software system 3DVIEWNIX itself dates back to the 1970s. Since then, a series of software packages for Computer Assisted Visualization and Analysis (CAVA) of images came out from our group, 3DVIEWNIX released in 1993, being the most recent, and all were distributed with source code. CAVASS, an open source system, is the latest in this series, and represents the next major incarnation of 3DVIEWNIX. It incorporates four groups of operations: IMAGE PROCESSING (including ROI, interpolation, filtering, segmentation, registration, morphological, and algebraic operations), VISUALIZATION (including slice display, reslicing, MIP, surface rendering, and volume rendering), MANIPULATION (for modifying structures and surgery simulation), ANALYSIS (various ways of extracting quantitative information). CAVASS is designed to work on all platforms. Its key features are: (1) most major CAVA operations incorporated; (2) very efficient algorithms and their highly efficient implementations; (3) parallelized algorithms for computationally intensive operations; (4) parallel implementation via distributed computing on a cluster of PCs; (5) interface to other systems such as CAD/CAM software, ITK, and statistical packages; (6) easy to use GUI. In this paper, we focus on the image processing operations and compare the performance of CAVASS with that of ITK. Our conclusions based on assessing performance by utilizing a regular (6 MB), large (241 MB), and a super (873 MB) 3D image data set are as follows: CAVASS is considerably more efficient than ITK, especially in those operations which are computationally intensive. It can handle considerably larger data sets than ITK. It is easy and ready to use in applications since it provides an easy to use GUI. The users can easily build a cluster from ordinary inexpensive PCs and reap the full power of CAVASS inexpensively compared to expensive multiprocessing systems which are less efficient for CAVA operations.

Citation Download Citation

Jayaram K. Udupa, George J. Grevera, Dewey Odhner, Ying Zhuge, Andre Souza, Shipra Mishra, and Tad Iwanaga "CAVASS: a computer-assisted visualization and analysis software system - image processing aspects", Proc. SPIE 6509, Medical Imaging 2007: Visualization and Image-Guided Procedures, 65091V (22 March 2007); https://doi.org/10.1117/12.709841

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available