Automatic boundary detection on cardiac magnetic resonance image sequences for four dimensional visualization of the left ventricle

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 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 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 languageEnglish (US)
Title of host publicationProceedings of the First Conference on Visualization in Biomedical Computing
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages149-156
Number of pages8
ISBN (Print)0818620390
StatePublished - Dec 1 1990
EventProceedings of the First Conference on Visualization in Biomedical Computing - VBC '90 - Atlanta, GA, USA
Duration: May 22 1990May 25 1990

Other

OtherProceedings of the First Conference on Visualization in Biomedical Computing - VBC '90
CityAtlanta, GA, USA
Period5/22/905/25/90

ASJC Scopus subject areas

  • Engineering(all)

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