• DocumentCode
    3091019
  • Title

    A virtual endodontics testbed for training root canal skills

  • Author

    Li, Min ; Liu, Yun-Hui

  • Author_Institution
    Dept. of Autom. & Comput. Eng., Chinese Univ. of Hong Kong, China
  • Volume
    1
  • fYear
    2004
  • fDate
    26 April-1 May 2004
  • Firstpage
    841
  • Abstract
    Endodontic treatment is one of the most common dental procedures employed in modern dentistry. Although there have been many works in medical simulation in the past two decades, little research has been done on modeling and simulation of endodontic procedures. This work presents a methodology to design and implement a virtual endodontics test bed for facilitating surgical training of root canal skills. In order to make the system more efficient and effective, the work focuses on the simulation of the most critical step in the entire endodontic procedure, i.e. shaping and cleaning. The paper first proposes a novel approach for estimating filing force and torque by developing a measurement system. Then, a hybrid modeling scheme for endodontic simulation is presented, which consists of a geometric-based endodontic instrument model, a physically-based root canal model, and a parameter identification method for the model.
  • Keywords
    biomedical education; computer aided instruction; dentistry; measurement systems; medical diagnostic computing; parameter estimation; virtual reality; dentistry; endodontic treatment; filing force estimation; geometric-based endodontic instrument model; parameter identification method; physically-based root canal model; root canal skills; surgical training; torque estimation; virtual endodontics testbed; Cleaning; Dentistry; Design methodology; Force measurement; Irrigation; Medical simulation; Solid modeling; Surgery; Testing; Torque measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2004. Proceedings. ICRA '04. 2004 IEEE International Conference on
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-8232-3
  • Type

    conf

  • DOI
    10.1109/ROBOT.2004.1307254
  • Filename
    1307254