Knowledge-Based System for Boundary Detection of Four-Dimensional Cardiac Magnetic Resonance Image Sequences

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

Research output: Contribution to journalArticle

28 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)65-72
Number of pages8
JournalIEEE Transactions on Medical Imaging
Volume12
Issue number1
DOIs
StatePublished - Mar 1993

ASJC Scopus subject areas

  • Software
  • Radiological and Ultrasound Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Knowledge-Based System for Boundary Detection of Four-Dimensional Cardiac Magnetic Resonance Image Sequences'. Together they form a unique fingerprint.

Cite this