Generation of historical mandible landmarks for orthodontic treatment using genetic algorithm and finite element method

Yu Lun Pao; Thomas Jin Chee Liu; Jau Min Wong; I. Jen Chiang

doi:10.1109/GRC.2011.6122656

Generation of historical mandible landmarks for orthodontic treatment using genetic algorithm and finite element method

Yu Lun Pao, Thomas Jin Chee Liu, Jau Min Wong, I. Jen Chiang

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

Abstract

Contemporary cephalometric imaging in dental orthodontic treatment uses anatomical features on X-ray images for analysis; however, the available features are limited. The mandible, for example, has a simple structure compared to that of the maxilla, and all the analytical features are distributed on the outer edge. The aims of this study are to simulate the growth process of the mandible based on the relevant orthodontic surveys and through a finite element analysis using ANSYS software, to calculate the optimum growth parameters using genetic algorithms, and to establish new features in the absence of anatomical structure. This study proposes a calculation method for establishing new features, and provides more comprehensive information for pretreatment diagnosis in orthodontics.

Original language	English
Title of host publication	Proceedings - 2011 IEEE International Conference on Granular Computing, GrC 2011
Pages	551-555
Number of pages	5
DOIs	https://doi.org/10.1109/GRC.2011.6122656
Publication status	Published - 2011
Event	2011 IEEE International Conference on Granular Computing, GrC 2011 - Kaohsiung, Taiwan Duration: Nov 8 2011 → Nov 10 2011

Other

Other	2011 IEEE International Conference on Granular Computing, GrC 2011
Country/Territory	Taiwan
City	Kaohsiung
Period	11/8/11 → 11/10/11

Keywords

finite element
genetic algorithm
orthodontic landmarks

ASJC Scopus subject areas

Software

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10.1109/GRC.2011.6122656

Cite this

Generation of historical mandible landmarks for orthodontic treatment using genetic algorithm and finite element method. / Pao, Yu Lun; Liu, Thomas Jin Chee; Wong, Jau Min et al.
Proceedings - 2011 IEEE International Conference on Granular Computing, GrC 2011. 2011. p. 551-555 6122656.

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

Pao, YL, Liu, TJC, Wong, JM & Chiang, IJ 2011, Generation of historical mandible landmarks for orthodontic treatment using genetic algorithm and finite element method. in Proceedings - 2011 IEEE International Conference on Granular Computing, GrC 2011., 6122656, pp. 551-555, 2011 IEEE International Conference on Granular Computing, GrC 2011, Kaohsiung, Taiwan, 11/8/11. https://doi.org/10.1109/GRC.2011.6122656

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title = "Generation of historical mandible landmarks for orthodontic treatment using genetic algorithm and finite element method",

abstract = "Contemporary cephalometric imaging in dental orthodontic treatment uses anatomical features on X-ray images for analysis; however, the available features are limited. The mandible, for example, has a simple structure compared to that of the maxilla, and all the analytical features are distributed on the outer edge. The aims of this study are to simulate the growth process of the mandible based on the relevant orthodontic surveys and through a finite element analysis using ANSYS software, to calculate the optimum growth parameters using genetic algorithms, and to establish new features in the absence of anatomical structure. This study proposes a calculation method for establishing new features, and provides more comprehensive information for pretreatment diagnosis in orthodontics.",

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author = "Pao, {Yu Lun} and Liu, {Thomas Jin Chee} and Wong, {Jau Min} and Chiang, {I. Jen}",

year = "2011",

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language = "English",

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N2 - Contemporary cephalometric imaging in dental orthodontic treatment uses anatomical features on X-ray images for analysis; however, the available features are limited. The mandible, for example, has a simple structure compared to that of the maxilla, and all the analytical features are distributed on the outer edge. The aims of this study are to simulate the growth process of the mandible based on the relevant orthodontic surveys and through a finite element analysis using ANSYS software, to calculate the optimum growth parameters using genetic algorithms, and to establish new features in the absence of anatomical structure. This study proposes a calculation method for establishing new features, and provides more comprehensive information for pretreatment diagnosis in orthodontics.

AB - Contemporary cephalometric imaging in dental orthodontic treatment uses anatomical features on X-ray images for analysis; however, the available features are limited. The mandible, for example, has a simple structure compared to that of the maxilla, and all the analytical features are distributed on the outer edge. The aims of this study are to simulate the growth process of the mandible based on the relevant orthodontic surveys and through a finite element analysis using ANSYS software, to calculate the optimum growth parameters using genetic algorithms, and to establish new features in the absence of anatomical structure. This study proposes a calculation method for establishing new features, and provides more comprehensive information for pretreatment diagnosis in orthodontics.

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KW - orthodontic landmarks

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Generation of historical mandible landmarks for orthodontic treatment using genetic algorithm and finite element method

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Keywords

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