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Localization of Anatomical Point Landmarks in 3D Medical Images by Fitting 3D Parametric Intensity Models

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Bildverarbeitung für die Medizin 2003

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

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Abstract

We introduce a new approach for the localization of 3D anatomical point landmarks. The approach uses 3D parametric intensity models of anatomical structures which are directly fit to the image intensities. We developed an analytic model based on the Gaussian error function to efficiently model tip-like structures of ellipsoidal shape. The approach has been successfully applied to accurately localize the tips of ventricular horns in 3D MR image data.

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References

  1. J.-P. Thirion, “New Feature Points based on Geometric Invariants for 3D Image Registration”, Int. J. of Computer Vision 18:2, 1996, 121–137

    Article  Google Scholar 

  2. K. Rohr, “On 3D differential operators for detecting point landmarks”, Image and Vision Computing 15:3, 1997, 219–233

    Article  Google Scholar 

  3. T. Hartkens, K. Rohr, H.S. Stiehl, “Evaluation of 3D Operators for the Detection of Anatomical Point Landmarks in MR and CT Images”, CVIU 85, 2002, 1–19

    Google Scholar 

  4. S. Frantz, K. Rohr, and H.S. Stiehl, “Localization Of 3D Anatomical Point Landmarks In 3D Tomographic Images Using Deformable Models”, Proc. MICCAI 2000, Springer, 2000, 492–501

    Google Scholar 

  5. M. Alker, S. Frantz, K. Rohr, and H.S. Stiehl, “Hybrid Optimization for 3D Landmark Extraction: Genetic Algorithms and Conjugate Gradient Method”, Proc. BVM 2002, Springer, 2002, 314–317

    Google Scholar 

  6. K. Rohr, “Recognizing Corners by Fitting Parametric Models”, International J. of Computer Vision 9:3, 1992, 213–230

    Article  Google Scholar 

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Authors and Affiliations

  1. School of Information Technology, Computer Vision & Graphics Group, International University in Germany, 76646, Bruchsal

    Stefan Wörz & Karl Rohr

Authors
  1. Stefan Wörz
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  2. Karl Rohr
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Editor information

Editors and Affiliations

  1. Fraunhofer-Institut für Integrierte Schaltungen, Am Wolfsmantel 33, 91058, Erlangen

    Thomas Wittenberg

  2. Neurozentrum, Neurochirurgische Klinik der Universität Erlangen-Nürnberg, Schwabachanlage 6, 91054, Erlangen

    Peter Hastreiter

  3. Abteilung für Phoniatrie und Pädaudiologie der Universität Erlangen-Nürnberg, Bohlenplatz 21, 91054, Erlangen

    Ulrich Hoppe

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

    Heinz Handels

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

    Alexander Horsch

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

    Hans-Peter Meinzer

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© 2003 Springer-Verlag Berlin Heidelberg

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Wörz, S., Rohr, K. (2003). Localization of Anatomical Point Landmarks in 3D Medical Images by Fitting 3D Parametric Intensity Models. In: Wittenberg, T., Hastreiter, P., Hoppe, U., Handels, H., Horsch, A., Meinzer, HP. (eds) Bildverarbeitung für die Medizin 2003. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18993-7_2

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  • DOI: https://doi.org/10.1007/978-3-642-18993-7_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00619-0

  • Online ISBN: 978-3-642-18993-7

  • eBook Packages: Springer Book Archive

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