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 publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages247-252
Number of pages6
Volume1131
ISBN (Print)3540616497, 9783540616498
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)03029743
ISSN (Electronic)16113349

Other

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

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • Cite this

    Belohlavek, M., Manduca, A., Behrenbeck, T., Seward, J. B., & Greenleaf, J. F. (1996). Image analysis using modified self-organizing maps: Automated delineation of the left ventricular cavity boundary in serial echocardiograms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1131, pp. 247-252). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1131). Springer Verlag.