• DocumentCode
    2924719
  • Title

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

  • Author

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

  • Author_Institution
    Grad. Inst. of Biomed. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • fYear
    2011
  • fDate
    8-10 Nov. 2011
  • Firstpage
    551
  • Lastpage
    555
  • 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.
  • Keywords
    X-ray imaging; dentistry; finite element analysis; genetic algorithms; medical image processing; patient diagnosis; ANSYS software; X-ray images; anatomical features; contemporary cephalometric imaging; finite element method; genetic algorithm; historical mandible landmarks; orthodontic treatment; pretreatment diagnosis; Analytical models; Biological cells; Bones; Educational institutions; Finite element methods; Genetic algorithms; Software; finite element; genetic algorithm; orthodontic landmarks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing (GrC), 2011 IEEE International Conference on
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-1-4577-0372-0
  • Type

    conf

  • DOI
    10.1109/GRC.2011.6122656
  • Filename
    6122656