• DocumentCode
    3586967
  • Title

    Identification of mechanical properties of brain parenchyma for brain surgery haptic simulation

  • Author

    Xiaoshuai Chen ; Sase, Kazuya ; Konno, Atsushi ; Tsujita, Teppei

  • Author_Institution
    Grad. Sch. of Inf. Sci. & Techology, Hokkaido Univ., Sapporo, Japan
  • fYear
    2014
  • Firstpage
    1656
  • Lastpage
    1661
  • Abstract
    Dissection and removal of lesion area are fundamental operations in brain surgery. In order to correctly reproduce dissection and removal in brain surgery haptic simulation, mechanical properties of brain tissue must be investigated. In this work, porcine brains are used as specimens. Mechanical properties such as density, Poisson´s ratio, Young´s modulus, damping coefficient, and fracture stress of porcine brain parenchyma are measured and identified. Since haptic simulations require real-time computation of deformation and fracture of brain tissue, a linear finite element model and Rayleigh damping model are used. The Rayleigh damping coefficients are identified by solving optimization problems, so that the error between experimental results and simulation results is minimized.
  • Keywords
    Poisson ratio; Young´s modulus; biological tissues; biomechanics; brain; damping; deformation; digital simulation; finite element analysis; fracture; haptic interfaces; medical computing; optimisation; stress analysis; surgery; Poisson ratio; Rayleigh damping coefficients; Rayleigh damping model; Young modulus; brain surgery haptic simulation; brain tissue deformation; brain tissue fracture; density; fracture stress; lesion area dissection; lesion area removal; linear finite element model; mechanical properties identification; optimization problems; porcine brain parenchyma; Brain modeling; Damping; Strain; Stress; Surgery; Young´s modulus;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics (ROBIO), 2014 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ROBIO.2014.7090572
  • Filename
    7090572