• DocumentCode
    2495754
  • Title

    A Novel Finite Element Modeling Method for Periodontal Ligament of Impacted Maxillary Tooth

  • Author

    Bin Wu ; Wencheng Tang ; Bin Yan

  • Author_Institution
    Sch. of Mech. Eng., Southeast Univ., Nanjing, China
  • fYear
    2009
  • fDate
    11-13 June 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    How to build a precise finite element model for periodontal ligament (PDL) of impacted tooth is a key step in numerical simulation of orthodontics. However, it is difficult to obtain accurate three-dimensional model of impacted tooth which embed in alveolar bone. In this paper, combined with reverse engineering and CT image, a new finite element method is introduced. Firstly, create the surface model of impacted tooth after separating it from CT image by using threshold. Secondly, filter the superfluous points in point cloud by programming. Then grid the point cloud, and smooth the curved surface to create the closed 3D entity model. Finally, the finite element model of impacted tooth and periodontal ligament (PDL) were built by finite element pre-processing. Compared with the traditional modeling method, the new approach is faster, more precise, which served as a more effective and practical means for orthodontics simulation.
  • Keywords
    computerised tomography; dentistry; finite element analysis; orthotics; 3D entity model; CT image; finite element modeling method; impacted maxillary tooth; orthodontics; periodontal ligament; superfluous points; Bones; Clouds; Computed tomography; Filters; Finite element methods; Ligaments; Numerical simulation; Page description languages; Reverse engineering; Teeth;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2901-1
  • Electronic_ISBN
    978-1-4244-2902-8
  • Type

    conf

  • DOI
    10.1109/ICBBE.2009.5162218
  • Filename
    5162218