Literature DB >> 17336957

3D statistical models for tooth surface reconstruction.

Stéphanie I Buchaillard1, S H Ong, Yohan Payan, Kelvin Foong.   

Abstract

This paper presents a method to reconstruct the 3D surface of a tooth given partial information about its shape. A statistical model comprising a mean shape and a series of deformation modes is obtained offline using a set of specimens. During reconstruction, rigid registration is performed to align the mean shape with the target. The mean shape is then deformed to approximate the target by minimizing the sum of squared distances between the two surfaces according to the deformation modes. The method is shown to be efficient for the recovery of tooth shape given crown information.

Mesh:

Year:  2007        PMID: 17336957     DOI: 10.1016/j.compbiomed.2007.01.003

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  6 in total

1.  Tooth shape reconstruction from dental CT images with the region-growing method.

Authors:  R Yanagisawa; Y Sugaya; S Kasahara; S Omachi
Journal:  Dentomaxillofac Radiol       Date:  2014-05-02       Impact factor: 2.419

2.  Capturing large shape variations of liver using population-based statistical shape models.

Authors:  Amir H Foruzan; Yen-Wei Chen; Masatoshi Hori; Yoshinobu Sato; Noriyuki Tomiyama
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-04-20       Impact factor: 2.924

3.  Principal component analysis in construction of 3D human knee joint models using a statistical shape model method.

Authors:  Tsung-Yuan Tsai; Jing-Sheng Li; Shaobai Wang; Pingyue Li; Young-Min Kwon; Guoan Li
Journal:  Comput Methods Biomech Biomed Engin       Date:  2013-10-24       Impact factor: 1.763

4.  Construction of 3D human distal femoral surface models using a 3D statistical deformable model.

Authors:  Zhonglin Zhu; Guoan Li
Journal:  J Biomech       Date:  2011-07-23       Impact factor: 2.712

5.  Exploring palatal and dental shape variation with 3D shape analysis and geometric deep learning.

Authors:  Nele Nauwelaers; Harold Matthews; Yi Fan; Balder Croquet; Hanne Hoskens; Soha Mahdi; Ahmed El Sergani; Shunwang Gong; Tianmin Xu; Michael Bronstein; Mary Marazita; Seth Weinberg; Peter Claes
Journal:  Orthod Craniofac Res       Date:  2021-08-24       Impact factor: 1.826

6.  The potential of statistical shape modelling for geometric morphometric analysis of human teeth in archaeological research.

Authors:  Christopher Woods; Christianne Fernee; Martin Browne; Sonia Zakrzewski; Alexander Dickinson
Journal:  PLoS One       Date:  2017-12-07       Impact factor: 3.240

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.