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Semi-automatic Segmentation of the Left Ventricle in CINE MR Datasets by Linked Radial Active Model (LRAM)

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Bildverarbeitung für die Medizin 2005

Part of the book series: Informatik aktuell ((INFORMAT))

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Abstract

Heart failures (cardiac infarction) are of increasing importance due to increasing life expectation. For clinical diagnosis parameters for the condition of hearts are needed and can be derived automatically by imaging processing. In this work we present an efficient method to segment the left ventricle (LV) in heart MR data from rats using two linked active contour models working in a spherical coordinate system. The initial model used for the active contour scheme is generated from user given points by a radial interpolation algorithm. The model was developed on healthy heart data and was tested on 15 different data sets and the results are presented.

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References

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Author information

Authors and Affiliations

  1. Department Auditory Learning & Speech, Leibniz Institute for Neurobiology, Brenneckestr. 6, 39118, Magdeburg

    Michael Schildt

  2. Dept. of Simulation & Graphics, Otto-von-Guericke University, Magdeburg

    Regina Pohle

  3. Institute for Experimental Pharmacology and Toxicology, Friedrich-Alexander University, Erlangen-Nuremberg

    Kay Brune & Andreas Hess

Authors
  1. Michael Schildt
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  2. Regina Pohle
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  3. Kay Brune
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  4. Andreas Hess
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Editor information

Editors and Affiliations

  1. Abteilung für Medizinische und Biologische Informatik / H0100, Deutsches Krebsforschungszentrum, Im Neuenheimer Feld 280, 69120, Heidelberg

    Hans-Peter Meinzer

  2. Universitätsklinikum Hamburg-Eppendorf, Universität Hamburg, Martinistraße 52, 20246, Hamburg

    Heinz Handels

  3. Klinikum rechts der Isar Institut für Medizinische Statistik und Epidemiologie, Technische Universität München, Ismaninger Straße 22, 81675, München

    Alexander Horsch

  4. Institut für Medizinische Informatik, Biometrie und Epidemiologie, Charité — Universitätsmedizin Berlin, Campus Benjamin Franklin, Hindenburgdamm 30, 12200, Berlin

    Thomas Tolxdorff

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© 2005 Springer-Verlag Berlin Heidelberg

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Schildt, M., Pohle, R., Brune, K., Hess, A. (2005). Semi-automatic Segmentation of the Left Ventricle in CINE MR Datasets by Linked Radial Active Model (LRAM). In: Meinzer, HP., Handels, H., Horsch, A., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2005. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-26431-0_26

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