Abstract
The authors describe a knowledge-based system for detecting the interior and exterior boundaries of the left ventricle (LV) from time-varying cross-sectional images of the beating heart obtained noninvasively by magnetic resonance imaging (MRI). The system automatically classifies and measures cardiac function through estimates of LV wall thickness, wall motion, etc. The system is knowledge based and it makes use of Dempster-Shafer theory to manage the knowledge. This theory is also used to control the flow of system information for more efficient use of limited computational resources and memory space.
Original language | English (US) |
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Title of host publication | Proceedings of the First Conference on Visualization in Biomedical Computing |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 149-156 |
Number of pages | 8 |
ISBN (Print) | 0818620390 |
State | Published - Dec 1 1990 |
Event | Proceedings of the First Conference on Visualization in Biomedical Computing - VBC '90 - Atlanta, GA, USA Duration: May 22 1990 → May 25 1990 |
Other
Other | Proceedings of the First Conference on Visualization in Biomedical Computing - VBC '90 |
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City | Atlanta, GA, USA |
Period | 5/22/90 → 5/25/90 |
ASJC Scopus subject areas
- Engineering(all)