• DocumentCode
    429467
  • Title

    Determining deformation resistance in cutting soft tissue with nonuniform thickness

  • Author

    Chanthasopeephan, Teeranoot ; Desai, Jaydev P. ; Lau, Alan C W

  • Author_Institution
    Dept. of Mech. Eng. & Mech., Drexel Univ., Philadelphia, PA, USA
  • Volume
    1
  • fYear
    2004
  • fDate
    1-5 Sept. 2004
  • Firstpage
    2754
  • Lastpage
    2757
  • Abstract
    Understanding soft tissue response during tool tissue interaction is important for developing a reality based haptic interaction model for surgical training and simulation. In this work, experiments were conducted to cut liver specimens with nonuniform thickness. Three cutting speeds ranging from 0.1 cm/sec-2.54 cm/sec were used. The cutting forces, cutting tool displacement, and tool/tissue imaging via stereo camera system were collected. The time varying depth-of-cut in the thickness-varying specimen was then determined using image analysis. The force-displacement data revealed that the cutting process consisted of a sequence of repeating units each comprising of a localized deformation phase followed by localized crack extension phase in the tissue. Based on depth-of-cut normalized cutting force, the deformation resistance of the tissue during the localized deformation phases was determined. The deformation resistance was characterized via the local effective modulus (LEM) of the soft tissue. The effect of cutting speed on the deformation resistance of the soft tissue was determined.
  • Keywords
    biological tissues; biomechanics; deformation; haptic interfaces; liver; medical image processing; medical robotics; stereo image processing; surgery; virtual reality; 0.1 to 2.54 cm/s; deformation resistance; depth-of-cut normalized force; force-displacement data; image analysis; liver specimens; local effective modulus; localized crack extension phase; localized deformation phase; reality based haptic interaction model; soft tissue cutting; soft tissue response; stereo camera system; surgical simulation; surgical training; tissue imaging; tool tissue interaction; Biological system modeling; Biological tissues; Blades; Computational modeling; Deformable models; Haptic interfaces; Immune system; Intelligent robots; Liver; Surgery; Depth-of-cut normalized force; Local effective modulus; and Deformation resistance in tissue cutting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-8439-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2004.1403788
  • Filename
    1403788