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Automatic Detection and Classification of Teeth in CT Data

  • Nguyen The Duy
  • Hans Lamecker
  • Dagmar Kainmueller
  • Stefan Zachow
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7510)

Abstract

We propose a fully automatic method for tooth detection and classification in CT or cone-beam CT image data. First we compute an accurate segmentation of the maxilla bone. Based on this segmentation, our method computes a complete and optimal separation of the row of teeth into 16 subregions and classifies the resulting regions as existing or missing teeth. This serves as a prerequisite for further individual tooth segmentation. We show the robustness of our approach by providing extensive validation on 43 clinical head CT scans.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Nguyen The Duy
    • 1
  • Hans Lamecker
    • 1
  • Dagmar Kainmueller
    • 1
  • Stefan Zachow
    • 1
  1. 1.Zuse-Institute BerlinGermany

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