• DocumentCode
    2934699
  • Title

    Robot Surgery based on the Physical Properties of the Brain - Physical Brain Model for Planning and Navigation of a Surgical Robot-

  • Author

    Yoshizawa, Aiko ; Okamoto, Jun ; Yamakawa, Hiroshi ; Fujie, Masakatsu G.

  • fYear
    2005
  • fDate
    18-22 April 2005
  • Firstpage
    904
  • Lastpage
    911
  • Abstract
    This paper proposes the planning and navigation of a surgical robot to perform safe and effective operations using finite element analysis results based on physical models of the brain. The physical brain models were proposed based on the results of physical property tests. Finite element analyses of virtual tension tests were carried out under the same conditions as the actual tension tests, and the results of the analysis coincided with those of the test. The finite element analyses of robotic brain surgery were carried out using a two-dimensional structure, which consisted of the proposed physical models. Assuming two types of robot models are used (the brain spatula and capsule type robot respectively), stress distribution in the brain, caused by each robot model, was simulated in the analyses. The preoperative planning was considered based on the analysis results, and the safe velocity of the robot’s movement was estimated from the same. The results of this research showed that organ modeling was necessary for preoperative planning in order to implement safe surgery.
  • Keywords
    finite element method; navigation system; physical brain model; surgical robot; Analytical models; Brain modeling; Finite element methods; Medical robotics; Navigation; Performance analysis; Robots; Stress; Surgery; Testing; finite element method; navigation system; physical brain model; surgical robot;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2005. ICRA 2005. Proceedings of the 2005 IEEE International Conference on
  • Print_ISBN
    0-7803-8914-X
  • Type

    conf

  • DOI
    10.1109/ROBOT.2005.1570232
  • Filename
    1570232