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A Hybrid Approach to Extracting Tooth Models from CT Volumes

  • Sheng-Hui Liao
  • Wei Han
  • Ruo-Feng Tong
  • Jin-Xiang Dong
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3604)

Abstract

As the tooth root has similar bone density to the jaw where it is embedded, its complete boundaries are either missing or at low contrast in the computed tomography (CT) volume data. This paper proposes a hybrid method to create a ‘best-fit’ polygonal surface of the patient-specific tooth. First, a level-set based shape prior segmentation procedure is employed to extract a coarse whole tooth surface model from CT volume. The surface model produced captures the smooth root part, while losing details of the tooth crown. So, a post process – thin-plate splines transform, involving a consistent semi-automatic landmarks selection and re-placing procedure – is used to warp the crown part of the coarse surface to recover the patient-specific local details of the crown.

Keywords

Radial Basis Function Surface Model Anatomical Landmark Tooth Root Local Detail 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Sheng-Hui Liao
    • 1
  • Wei Han
    • 1
  • Ruo-Feng Tong
    • 1
  • Jin-Xiang Dong
    • 1
  1. 1.State Key Laboratory of CAD and CG, Department of Computer Science, and EngineeringZhejiang UniversityChina

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