• DocumentCode
    2037858
  • Title

    Modeling In vivo Soft Tissue Probing

  • Author

    Hu, Tie ; Desai, Jaydev P. ; Castellanos, A.E. ; Lau, Alan C W

  • Author_Institution
    Program for Robotics Intelligent Sensing, & Mechatronics Lab., Drexel Univ., Philadelphia, PA
  • fYear
    2006
  • fDate
    20-22 Feb. 2006
  • Firstpage
    537
  • Lastpage
    542
  • Abstract
    A biomechanical model of in vivo soft tissue derived from experimental measurements is critical for developing a reality-based model for minimally invasive surgical training and simulation. In our research, we have been focusing on developing a biomechanical model of the liver with the ultimate goal of using this model for local tool-tissue interaction tasks and providing feedback to the surgeon through a haptic (sense of touch) display. In this paper, we present our approach for characterizing the nonlinear property of soft tissue in vivo under large deformation. We developed an experimental method for in vivo soft tissue test, and an axisymmetric finite element model to obtain the local effective elastic modulus (LEEM) of the tissue. A microcontroller-based portable probe was developed to measure the force and displacement in vivo of the pig liver tissue undergoing large deformation. The probe indented the liver up to 40% of its nominal thickness at a speed of 1.5 mm/sec. Based on the experimental force and displacement data, we obtained the LEEM by an inverse finite element method
  • Keywords
    biomechanics; biomedical measurement; deformation; displacement measurement; elastic moduli; finite element analysis; force measurement; haptic interfaces; liver; microcontrollers; physiological models; training; biomechanical model; deformation; displacement measurement; feedback; finite element model; force measurement; haptic display; in vivo soft tissue probing; invasive surgical training; inverse finite element method; local effective elastic modulus; local tool-tissue interaction task model; microcontroller-based portable probe; nonlinear property; pig liver; reality-based model; Biological tissues; Feedback; Finite element methods; Force measurement; Haptic interfaces; In vivo; Liver; Minimally invasive surgery; Probes; Surges;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Robotics and Biomechatronics, 2006. BioRob 2006. The First IEEE/RAS-EMBS International Conference on
  • Conference_Location
    Pisa
  • Print_ISBN
    1-4244-0040-6
  • Type

    conf

  • DOI
    10.1109/BIOROB.2006.1639144
  • Filename
    1639144