This paper develops a strategy for a knowledge-based system for detection of the interior and exterior boundaries of the left ventricle from time-varying cross-sectional images obtained by ECG-gated magnetic resonance imaging. This system makes use of both fuzzy set and Dempster and Shafer theory to manage the knowledge, and to control the flow of system information for more efficient use of limited computational resources and memory space.
ASJC Scopus subject areas
- Radiological and Ultrasound Technology
- Computer Science Applications
- Electrical and Electronic Engineering