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

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Visualization in Biomedical Computing (VBC 1996)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1131))

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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.

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Authors and Affiliations

  1. Division of Cardiovascular Diseases and Internal Medicine, Mayo Clinic and Mayo Foundation, 55905, Rochester, Minnesota

    Marek Belohlavek, Thomas Behrenbeck & James B. Seward

  2. Department of Physiology and Biophysics, Mayo Clinic and Mayo Foundation, 55905, Rochester, Minnesota

    Armando Manduca & James F. Greenleaf

Authors
  1. Marek Belohlavek
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  2. Armando Manduca
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  3. Thomas Behrenbeck
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  4. James B. Seward
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  5. James F. Greenleaf
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Editor information

Karl Heinz Höhne Ron Kikinis

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© 1996 Springer-Verlag Berlin Heidelberg

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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: Höhne, K.H., Kikinis, R. (eds) Visualization in Biomedical Computing. VBC 1996. Lecture Notes in Computer Science, vol 1131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0046961

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  • DOI: https://doi.org/10.1007/BFb0046961

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61649-8

  • Online ISBN: 978-3-540-70739-4

  • eBook Packages: Springer Book Archive

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