Keywords
myocardial segmentation, Cine CT scans
Abstract
A recently-developed probabilistic model for automatically segmenting regions of interest in abdominal CT scans has been adapted to the challenging task of segmenting myocardial tissue in Cine CT scans. A system has been implemented on relatively low-cost hardware which performs such segmentations. Special techniques have been developed to improve consistency and accuracy. Early results of testing this new modality are encouraging and promising. Based on observations from experimentation, new directions for future work have been identified.
Original Publication Citation
Jerome A. Broekhuijsen, Shawn C. Becker, and William A. Barrett: "Probabilistic Segmentation of Myocardial Tissue by Deterministic Relaxation." IEEE Proceedings of Computers in Cardiology, pp. 99-12, Jerusalem, September, 1989.
BYU ScholarsArchive Citation
Barrett, William A.; Becker, Shawn C.; and Broekhuijsen, Jerome A., "Probabilistic Segmentation of Myocardial Tissue by Deterministic Relaxation" (1989). Faculty Publications. 738.
https://scholarsarchive.byu.edu/facpub/738
Document Type
Peer-Reviewed Article
Publication Date
1989-09-01
Permanent URL
http://hdl.lib.byu.edu/1877/2623
Publisher
IEEE
Language
English
College
Physical and Mathematical Sciences
Department
Computer Science
Copyright Status
© 1989 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Copyright Use Information
http://lib.byu.edu/about/copyright/