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 on the beating heart obtained noninvasively by magnetic resonance imaging (MRI). The goal is a system for automatically classifying and measuring cardiac function through estimates of LV wall thickness, wall motion, etc. This knowledge-based system makes use of the Dempster and Shafer (D/S) theory to manage the knowledge. The 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) |
|---|---|
| Pages (from-to) | 1783-1786 |
| Number of pages | 4 |
| Journal | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
| Volume | 3 |
| State | Published - 1989 |
| Event | 1989 International Conference on Acoustics, Speech, and Signal Processing - Glasgow, Scotland Duration: May 23 1989 → May 26 1989 |
ASJC Scopus subject areas
- Software
- Signal Processing
- Electrical and Electronic Engineering
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