Image analysis using modified self-organizing maps: Automated delineation of the left ventricular cavity boundary in serial echocardiograms

Marek Belohlavek, Armando Manduca, Thomas Behrenbeck, James B. Seward, James F. Greenleaf

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

7 Scopus citations

Abstract

An algorithm is described for delineation and three-dimensional (3D) reconstruction of the left ventricular (LV) cavity boundary from echocardiographic images. The algorithm combines advanced image analysis and neural network techniques with a priori knowledge about LV shapes. Minimal user interaction is required to initiate the process which results in computer-generated outlines of the LV. Laboratory tests with dog hearts compare the algorithm to a conventional method based on endocardial outlines by an expert. LV volume and shape comparisons are assessed.

Original languageEnglish (US)
Title of host publicationVisualization in Biomedical Computing - 4th International Conference, VBC 1996, Proceedings
EditorsKarl Heinz Hohne, Ron Kikinis
PublisherSpringer Verlag
Pages247-252
Number of pages6
ISBN (Print)3540616497, 9783540616498
DOIs
StatePublished - 1996
Event4th International Conference on Visualization in Biomedical Computing, VBC 1996 - Hamburg, Germany
Duration: Sep 22 1996Sep 25 1996

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1131
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Conference on Visualization in Biomedical Computing, VBC 1996
CountryGermany
CityHamburg
Period9/22/969/25/96

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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