Extraction of 3D shape of a tooth from dental CT images with region growing method

Ryuichi Yanagisawa, Shinichiro Omachi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)


Dental information is useful for personal identification. In this paper, a method for extracting three-dimensional shape of a tooth automatically from dental CT images is proposed. In the previous method, one of the main issue is the mis-extraction of the adjacent region caused by the similarity of feature between a tooth and its adjacent teeth or the surrounding alveolar bone. It is important to extract an accurate shape of the target tooth as an independent part from the adjacent region. In the proposed method, after denoising, the target tooth is segmented to parts such as a shaft of a tooth or a dental enamel by the mean shift clustering. Then, some segments in the certain tooth is extracted as a certain region by the region growing method. Finally, the contour of the tooth is specified by applying the active contour method, and the shape of the tooth is extracted.

Original languageEnglish
Title of host publicationComputational Forensics - 4th International Workshop, IWCF 2010, Revised Selected Papers
Number of pages10
Publication statusPublished - 2011 Mar 9
Event4th International Workshop on Computational Forensics, IWCF 2010 - Tokyo, Japan
Duration: 2010 Nov 112010 Nov 12

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6540 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other4th International Workshop on Computational Forensics, IWCF 2010


  • dental CT image
  • region extraction
  • region growing
  • tooth shape

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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