Study of Finite Element Modeling from CT Images

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  • SHIMIZU Yoshikazu
    Section of General Dentistry, Department of Comprehensive Oral Health Care, Division of Comprehensive Patient Care, Tokyo Medical and Dental University, Graduate School
  • USUI Kazuhiro
    Section of General Dentistry, Department of Comprehensive Oral Health Care, Division of Comprehensive Patient Care, Tokyo Medical and Dental University, Graduate School
  • ARAKI Kouji
    Center for Education Research in Medicine and Dentistry, Tokyo Medical and Dental University
  • KUROSAKI Norimasa
    Section of General Dentistry, Department of Comprehensive Oral Health Care, Division of Comprehensive Patient Care, Tokyo Medical and Dental University, Graduate School
  • TAKANOBU Hideaki
    Department of Mechanical Systems Engineering, Kogakuin University Humanoid Robotics Institute, Waseda University
  • TAKANISHI Atsuo
    Department of Science and Engineering, Waseda University Humanoid Robotics Institute, Waseda University

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The use of finite element analysis is becoming more widespread with rapid advancements in computer technology. However, the field of dentistry is not enjoying the spillover benefits of the expanded use of this design simulation and analysis tool. Finite element modeling requires measurement of the object. However, as the living body is morphologically very complex, this requires a great deal of both time and skill using CAD applications, thus preventing its widespread adoption in the dental field. Although there have been reports of finite element modeling from CT images, these methods require skilled programmers for software development—which is another factor that prevents its widespread adoption in dentistry. Therefore, establishing a finite element modeling method that is both accurate and practical will be of great benefit in clinical dentistry.<br>In the present study, a method using computer tomography and existing software was examined for finite element model construction based on computer tomography images. The results suggested that the method developed here is feasible and practical for clinical use.

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