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Wizard-Based Segmentation for Cochlear Implant Planning

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Bildverarbeitung für die Medizin 2014

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

Abstract

The planning of a cochlear implantation requires careful segmentation of various structures within the middle and inner ear. Due to usability issues, many planning tools have not been integrated in the daily clinical routine yet. We propose an easy-to-use and intuitive wizard-based approach for the segmentation of structures of the ear. The wizard guides the user through the segmentation process, translating image processing into medical terminology. Semiautomatic corrections integrate the users medical expertise into the process so far. We have evaluated the wizard with a small user study including questionnaires and compared the segmentation result among different users.

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Author information

Authors and Affiliations

  1. Fraunhofer Institute for Integrated Circuits (IIS), Erlangen, Deutschland

    Daniela Franz & Thomas Wittenberg

  2. Computer Graphics Group, University of Erlangen-Nuremberg, Erlangen-Nuremberg, Deutschland

    Daniela Franz, Marc Stamminger & Thomas Wittenberg

  3. ENT Department, University Hospital of Leipzig, Leipzig, Deutschland

    Mathias Hofer & Markus Pirlich

  4. Neurosurgical Department, University Hospital of Tübingen, Tübingen, Deutschland

    Matthias Pfeifle

Authors
  1. Daniela Franz
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  2. Mathias Hofer
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  3. Matthias Pfeifle
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  4. Markus Pirlich
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  5. Marc Stamminger
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  6. Thomas Wittenberg
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Corresponding author

Correspondence to Daniela Franz .

Editor information

Editors and Affiliations

  1. Institut für Medizinische Informatik, Uniklinik RWTH Aachen, Aachen, Germany

    Thomas Martin Deserno

  2. Institut für Medizinische Informatik, Universität zu Lübeck, Lübeck, Germany

    Heinz Handels

  3. Abteilung für Medizinische und Biologische Informatik, Deutsches Krebsforschungszentrum, Heidelberg, Germany

    Hans-Peter Meinzer

  4. Institut für Medizinische Informatik, Charité – Universitätsmedizin Berlin, Berlin, Berlin, Germany

    Thomas Tolxdorff

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© 2014 Springer-Verlag Berlin Heidelberg

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Franz, D., Hofer, M., Pfeifle, M., Pirlich, M., Stamminger, M., Wittenberg, T. (2014). Wizard-Based Segmentation for Cochlear Implant Planning. In: Deserno, T., Handels, H., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2014. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54111-7_49

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