• DocumentCode
    736413
  • Title

    The physical modeling and simulation of soft tissue deformation based on LSSVM

  • Author

    Tian, Wang ; Fang, Zhao ; Zhuqiang, Li ; Yutong, Wang ; Jinliang, Han

  • Author_Institution
    College of Automation, Harbin Engineering University, Harbin 150000, China
  • fYear
    2015
  • fDate
    28-30 July 2015
  • Firstpage
    1929
  • Lastpage
    1934
  • Abstract
    The accuracy of soft tissue deformation model greatly influences on the reality virtual surgery system. The paper proposed a soft tissue deformation modeling method which combined truth deformation data with least squares support vector machine (LSSVM), and established relation model between pressed force and deformation by pressed experiment data. Finally we used genetic algorithm to optimize the parameters of Least Squares Support Vector Machine(LSSVM) to achieve the simulation of soft tissue deformation physical model. The simulation and analysis of multigroup identification results show the physical deformation model based on truth deformation data has higher stability and reality.
  • Keywords
    Biological tissues; Computational modeling; Data models; Deformable models; Force; Solid modeling; Surgery; LSSVM; Virtual surgery; genetic algorithm; soft tissue deformation model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2015 34th Chinese
  • Conference_Location
    Hangzhou, China
  • Type

    conf

  • DOI
    10.1109/ChiCC.2015.7259926
  • Filename
    7259926