Tooth shape reconstruction from CT images using spline curves

Shinichiro Omachi, Kousuke Saito, Hirotomo Aso, Shin Kasahara, Satoshi Yamada, Kohei Kimura

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

5 Citations (Scopus)

Abstract

It is desired to obtain three-dimensional shapes of teeth without extracting them physically in order to construct teeth database. In this paper, we propose a method for reconstructing three-dimensional shape of a tooth from the images acquired by a dental micro CT. First, initial contour of a tooth is obtained from an image in which the tooth is not buried in the bone and does not touch another tooth. A contour is determined in the adjacent image by searching the positions where the edge is strong. The shape of the tooth is obtained by recursive detection of the contours. Active contour model is used to obtain the contour where the edge is strong, and closed spline curve is used to represent the contour. Experimental results show that the shape of a tooth can be reconstructed from actual CT images by the proposed method.

Original languageEnglish
Title of host publicationProceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages393-396
Number of pages4
ISBN (Print)1424410665, 9781424410668
DOIs
Publication statusPublished - 2007 Jan 1
Event2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07 - Beijing, China
Duration: 2007 Nov 22007 Nov 4

Publication series

NameProceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07
Volume1

Other

Other2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07
CountryChina
CityBeijing
Period07/11/207/11/4

Keywords

  • Active contour
  • Spline curve
  • Teeth database
  • Tooth shape

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Numerical Analysis

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