Knowledge-based boundary detection applied to cardiac magnetic resonance image sequences

Doug Young Suh, Russell M. Mersereau, Robert L. Eisner, Roderic I. Pettigrew

Research output: Contribution to journalConference article

2 Scopus citations

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 languageEnglish (US)
Pages (from-to)1783-1786
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume3
StatePublished - Dec 1 1989
Event1989 International Conference on Acoustics, Speech, and Signal Processing - Glasgow, Scotland
Duration: May 23 1989May 26 1989

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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