Model-based tooth segmentation from dental panoramic radiographs

Chia Hsiang Wu, Jia Kuang Liu, Wan Hua Tsai, Ying Hui Chen, Yung Nien Sun

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

1 Citation (Scopus)

Abstract

Tooth contour is essential for orthodontic evaluation. In this study, a method for tooth segmentation from dental panoramic radiographs is proposed to assist orthodontists to obtain reliable therapy planning. The proposed method-locates the position of the target tooth, optimizes the scale, translation, and rotation of a tooth model, and deforms the model based on an energy minimization way. Visual inspection, qualitative analysis, and quantitative analysis were used to evaluate the results. The experimental results show that the accuracy of the proposed method is similar to manual delineationby experts.

Original languageEnglish
Title of host publicationIntelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014
EditorsWilliam Cheng-Chung Chu, Stephen Jenn-Hwa Yang, Han-Chieh Chao
PublisherIOS Press
Pages1223-1228
Number of pages6
ISBN (Electronic)9781614994831
DOIs
Publication statusPublished - 2015 Jan 1
EventInternational Computer Symposium, ICS 2014 - Taichung, Taiwan
Duration: 2014 Dec 122014 Dec 14

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume274
ISSN (Print)0922-6389

Other

OtherInternational Computer Symposium, ICS 2014
CountryTaiwan
CityTaichung
Period14-12-1214-12-14

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

Cite this

Wu, C. H., Liu, J. K., Tsai, W. H., Chen, Y. H., & Sun, Y. N. (2015). Model-based tooth segmentation from dental panoramic radiographs. In W. C-C. Chu, S. J-H. Yang, & H-C. Chao (Eds.), Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014 (pp. 1223-1228). (Frontiers in Artificial Intelligence and Applications; Vol. 274). IOS Press. https://doi.org/10.3233/978-1-61499-484-8-1223