• DocumentCode
    1967699
  • Title

    Real-time cutting simulation based on stiffness-warped FEM

  • Author

    Cakir, Oguzhan ; Yazici, Rifat ; Cakir, Oguzhan

  • Author_Institution
    Dept. of Comput. Eng., Karadeniz Tech. Univ., Trabzon, Turkey
  • fYear
    2009
  • fDate
    14-16 Sept. 2009
  • Firstpage
    721
  • Lastpage
    724
  • Abstract
    Finite element method (FEM) is a widely used method in the simulation of virtual surgery since it can model elasticity behavior of soft tissues accurately. Linear FEM uses constant stiffness matrix that achieves fast and stable simulation but objects increase unnaturally in volume under large rotational deformation. Nonlinear FEM, on the other hand, models large deformation correctly but it is computationally complex. ldquostiffness warpingrdquo method is suitable for real-time virtual surgery applications because it updates rotational parts of the large deformations rapidly and stably. It also preserves the volume. Cutting is the main activity in virtual surgery and various methods have been presented to conduct this activity. This paper presents an improved version of the prior cutting methods used in virtual surgery. The test results indicate that the proposed surgery simulation method based on stiffness-warped FEM could perfectly be utilized in real-time virtual surgery applications.
  • Keywords
    cutting; finite element analysis; surgery; virtual reality; finite element method; nonlinear FEM; real-time cutting simulation; soft tissues elasticity behavior; stiffness-warped FEM; virtual surgery; Biological tissues; Computational modeling; Computer simulation; Deformable models; Elasticity; Equations; Finite element methods; Medical simulation; Surgery; Testing; cutting; finite element method; virtual surgery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Sciences, 2009. ISCIS 2009. 24th International Symposium on
  • Conference_Location
    Guzelyurt
  • Print_ISBN
    978-1-4244-5021-3
  • Electronic_ISBN
    978-1-4244-5023-7
  • Type

    conf

  • DOI
    10.1109/ISCIS.2009.5291912
  • Filename
    5291912