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 | |
| Publication status | Published - 2015 Jan 1 |
| 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 |
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All Science Journal Classification (ASJC) codes
- Artificial Intelligence
Cite this
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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
TY - GEN
T1 - Model-based tooth segmentation from dental panoramic radiographs
AU - Wu, Chia Hsiang
AU - Liu, Jia Kuang
AU - Tsai, Wan Hua
AU - Chen, Ying Hui
AU - Sun, Yung Nien
PY - 2015/1/1
Y1 - 2015/1/1
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.
UR - http://www.scopus.com/inward/record.url?scp=84926433480&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84926433480&partnerID=8YFLogxK
U2 - 10.3233/978-1-61499-484-8-1223
DO - 10.3233/978-1-61499-484-8-1223
M3 - Conference contribution
AN - SCOPUS:84926433480
T3 - Frontiers in Artificial Intelligence and Applications
SP - 1223
EP - 1228
BT - Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014
A2 - Chu, William Cheng-Chung
A2 - Yang, Stephen Jenn-Hwa
A2 - Chao, Han-Chieh
PB - IOS Press
ER -