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 proceedingConference 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 languageEnglish
Title of host publicationProceedings - 2011 IEEE International Conference on Granular Computing, GrC 2011
Pages551-555
Number of pages5
DOIs
Publication statusPublished - 2011
Event2011 IEEE International Conference on Granular Computing, GrC 2011 - Kaohsiung, Taiwan
Duration: Nov 8 2011Nov 10 2011

Other

Other2011 IEEE International Conference on Granular Computing, GrC 2011
CountryTaiwan
CityKaohsiung
Period11/8/1111/10/11

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Keywords

  • finite element
  • genetic algorithm
  • orthodontic landmarks

ASJC Scopus subject areas

  • Software

Cite this

Pao, Y. L., Liu, T. J. C., Wong, J. M., & Chiang, I. J. (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 (pp. 551-555). [6122656] https://doi.org/10.1109/GRC.2011.6122656