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Using Deformable Models for the Localization of 3D Anatomical Point Landmarks in 3D Tomographic Images

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Bildverarbeitung für die Medizin 2001

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

Abstract

This paper describes a new approach to the localization of 3D anatomical point landmarks in 3D tomographic images on the basis of deformable models. It is demonstrated that compared to a purely differential approach, the localization accuracy is improved and also the number of false detections is reduced.

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Author information

Authors and Affiliations

  1. Universität Hamburg, Fachbereich Informatik, Arbeitsbereich Kognitive Systeme, Vogt-Kölln-Str. 30, 22527, Hamburg

    Sönke Frantz & H. Siegfried Stiehl

  2. Internat. Universitty in Germany, School of Information Technology, 76646, Bruchsal

    Karl Rohr

Authors
  1. Sönke Frantz
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  2. Karl Rohr
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  3. H. Siegfried Stiehl
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Editor information

Editors and Affiliations

  1. Institut für Medizinische Informatik, Medizinische Universität zu Lübeck, Ratzeburger Allee 160, 23538, Lübeck

    Heinz Handels

  2. Institut für Medizinische Statistik und Epidemiologie, Technische Universität München Klinikum rechts der Isar, Ismaninger Str. 22, 81657, München

    Alexander Horsch

  3. Institut für Medizinische Informatik, Universitätsklinikum der RWTH Aachen, 52057, Aachen

    Thomas Lehmann

  4. Abteilung für Medizinische und Biologische Informatik / H0100, Deutsches Krebsforschungszentrum, 69120, Heidelberg

    Hans-Peter Meinzer

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© 2001 Springer-Verlag Berlin Heidelberg

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Frantz, S., Rohr, K., Stiehl, H.S. (2001). Using Deformable Models for the Localization of 3D Anatomical Point Landmarks in 3D Tomographic Images. In: Handels, H., Horsch, A., Lehmann, T., Meinzer, HP. (eds) Bildverarbeitung für die Medizin 2001. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-56714-8_35

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  • DOI: https://doi.org/10.1007/978-3-642-56714-8_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41690-6

  • Online ISBN: 978-3-642-56714-8

  • eBook Packages: Springer Book Archive

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