Skip to main content
SpringerLink
Log in
Book cover

International Conference on Visualization in Biomedical Computing

VBC 1996: Visualization in Biomedical Computing pp 247–252Cite as

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

  • Conference paper
  • First Online:

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

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.

This is a preview of subscription content, log in via an institution.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Kohonen, T.: Self-organized formation of topologically correct feature maps. Biol. Cybern. 43 (1982) 59–69.

    Article  MATH  MathSciNet  Google Scholar 

  2. Kohonen, T.: Self-organization and Associative Memory. Springer-Verlag, New York, NY (1984) 2nd ed. 1988.

    Google Scholar 

  3. Chu, C., Delp, E., Buda, A.: Detecting left ventricular endocardial and epicardial boundaries by digital two-dimensional echocardiography. IEEE Trans. Med. Imag. 7 (1988) 81–90.

    Google Scholar 

  4. Brotherton, T., Pollard, T., Simpson, P., DeMaria A.: Classifying tissue and structure in echocardiograms. IEEE Eng. Med. Biol. (1994) 754–760.

    Google Scholar 

  5. Coppini, G., Poli, R., Valli, G.: Recovery of the 3-D shape of the left ventricle from echocardiographic images. IEEE Trans. Med. Imag. 14 (1995) 301–317.

    Google Scholar 

  6. Manhaeghe, C., Lemahieu, I., Vogelaers, D., Colardyn, F.: Automatic initial estimation of the left ventricular myocardial midwall in emission tomograms using Kohonen maps. IEEE Trans. Patt. Anal. Machine Intell. 16 (1994) 259–266.

    Article  Google Scholar 

  7. Pitas, I., Venetsanopoulas, A.: Edge detectors based on nonlinear filters. IEEE Trans. Patt. Anal. Machine Intell. 8 (1986) 1893–1921.

    Google Scholar 

Download references

Author information

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
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Armando Manduca
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Thomas Behrenbeck
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. James B. Seward
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. James F. Greenleaf
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Karl Heinz Höhne Ron Kikinis

Rights and permissions

Reprints and permissions

Copyright information

© 1996 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

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

Download citation

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

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61649-8

  • Online ISBN: 978-3-540-70739-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation