• DocumentCode
    2808102
  • Title

    Image constrained finite element modelling for real-time surgical simulation and guidance

  • Author

    Lerotic, Mirna ; Lee, Su-Lin ; Keegan, Jennifer ; Yang, Guang-Zhong

  • Author_Institution
    Inst. of Biomed. Eng., Imperial Coll. London, London, UK
  • fYear
    2009
  • fDate
    June 28 2009-July 1 2009
  • Firstpage
    1063
  • Lastpage
    1066
  • Abstract
    Accurate physically based biomechanical modelling of tissue deformation is important to surgical simulation and image guided intervention. Achieving real-time performance whilst maintaining relatively accurate simulation result has been a challenging problem to resolve. The purpose of this paper is to describe a novel yet practical image constrained finite element modelling framework for real-time tissue deformation modelling. The accuracy of the proposed framework is validated with respiratory motion modelling and the proposed framework is incorporated into the Open Source SOFA framework, thus facilitating its use for other subject-specific motion modelling and real-time surgical simulation tasks.
  • Keywords
    biological tissues; biomechanics; deformation; finite element analysis; medical computing; pneumodynamics; public domain software; surgery; biomechanical modelling; computer aided surgery; finite element modelling; image constrained modelling; image guided intervention; open source SOFA framework; real-time surgical guidance; real-time surgical simulation; respiratory motion modelling; subject-specific motion modelling; tissue deformation; Biomedical imaging; Deformable models; Educational institutions; Finite element methods; Heart; Lungs; Medical simulation; Minimally invasive surgery; Navigation; Solid modeling; biomechanical modelling; finite element methods; respiratory motion; surgical navigation; tissue deformation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
  • Conference_Location
    Boston, MA
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4244-3931-7
  • Electronic_ISBN
    1945-7928
  • Type

    conf

  • DOI
    10.1109/ISBI.2009.5193239
  • Filename
    5193239