Model-based tooth segmentation from dental panoramic radiographs

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

doi:10.3233/978-1-61499-484-8-1223

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 proceeding › Conference 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 language	English
Title of host publication	Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014
Editors	William Cheng-Chung Chu, Stephen Jenn-Hwa Yang, Han-Chieh Chao
Publisher	IOS Press
Pages	1223-1228
Number of pages	6
ISBN (Electronic)	9781614994831
DOIs	https://doi.org/10.3233/978-1-61499-484-8-1223
Publication status	Published - 2015
Event	International Computer Symposium, ICS 2014 - Taichung, Taiwan Duration: 2014 Dec 12 → 2014 Dec 14

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	274
ISSN (Print)	0922-6389

Other

Other	International Computer Symposium, ICS 2014
Country	Taiwan
City	Taichung
Period	14-12-12 → 14-12-14

All Science Journal Classification (ASJC) codes

Artificial Intelligence

Access to Document

10.3233/978-1-61499-484-8-1223

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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

Wu, Chia Hsiang ; Liu, Jia Kuang ; Tsai, Wan Hua ; Chen, Ying Hui ; Sun, Yung Nien. / Model-based tooth segmentation from dental panoramic radiographs. Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014. editor / William Cheng-Chung Chu ; Stephen Jenn-Hwa Yang ; Han-Chieh Chao. IOS Press, 2015. pp. 1223-1228 (Frontiers in Artificial Intelligence and Applications).

@inproceedings{f760084895d14af99b8a75da0af230c7,

title = "Model-based tooth segmentation from dental panoramic radiographs",

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.",

author = "Wu, {Chia Hsiang} and Liu, {Jia Kuang} and Tsai, {Wan Hua} and Chen, {Ying Hui} and Sun, {Yung Nien}",

note = "Publisher Copyright: {\textcopyright} 2015 The authors and IOS Press. All rights reserved. Copyright: Copyright 2015 Elsevier B.V., All rights reserved.; International Computer Symposium, ICS 2014 ; Conference date: 12-12-2014 Through 14-12-2014",

year = "2015",

doi = "10.3233/978-1-61499-484-8-1223",

language = "English",

series = "Frontiers in Artificial Intelligence and Applications",

publisher = "IOS Press",

pages = "1223--1228",

editor = "Chu, {William Cheng-Chung} and Yang, {Stephen Jenn-Hwa} and Han-Chieh Chao",

booktitle = "Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014",

address = "Netherlands",

}

Wu, CH, Liu, JK, Tsai, WH, Chen, YH & Sun, YN 2015, Model-based tooth segmentation from dental panoramic radiographs. in WC-C Chu, SJ-H Yang & H-C Chao (eds), Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014. Frontiers in Artificial Intelligence and Applications, vol. 274, IOS Press, pp. 1223-1228, International Computer Symposium, ICS 2014, Taichung, Taiwan, 14-12-12. https://doi.org/10.3233/978-1-61499-484-8-1223

Model-based tooth segmentation from dental panoramic radiographs. / Wu, Chia Hsiang; Liu, Jia Kuang; Tsai, Wan Hua; Chen, Ying Hui; Sun, Yung Nien.

Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014. ed. / William Cheng-Chung Chu; Stephen Jenn-Hwa Yang; Han-Chieh Chao. IOS Press, 2015. p. 1223-1228 (Frontiers in Artificial Intelligence and Applications; Vol. 274).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Sun, Yung Nien

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N2 - 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.

AB - 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.

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BT - Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014

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Wu CH, Liu JK, Tsai WH, Chen YH, Sun YN. Model-based tooth segmentation from dental panoramic radiographs. In Chu WC-C, Yang SJ-H, Chao H-C, editors, Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014. IOS Press. 2015. p. 1223-1228. (Frontiers in Artificial Intelligence and Applications). https://doi.org/10.3233/978-1-61499-484-8-1223