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Soft-tissue material properties under large deformation: strain rate effect.

Tie Hu1, Jaydev P Desai

  • 1Program for Robotics, Intelligent Sensing, & Mechatronics Lab., Drexel Univ., Philadelphia, PA, USA.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|February 3, 2007
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Developing a biomechanical liver model is key for surgical simulation. Experimental data shows the local effective elastic modulus (LEM) closely matches plane stress analysis in ABAQUS simulations.

Area of Science:

  • Biomedical Engineering
  • Surgical Simulation
  • Computational Mechanics

Background:

  • Accurate biomechanical models of soft tissues are essential for realistic surgical training and simulation.
  • Developing a reality-based model for the liver is crucial for local tool-tissue interaction tasks and haptic feedback in minimally invasive surgery.

Purpose of the Study:

  • To determine the local effective elastic modulus (LEM) of liver tissue across various strain rates.
  • To compare experimental biomechanical data with finite element analysis (FEA) models.

Main Methods:

  • Developed specialized tissue indentation equipment to measure liver biomechanical properties.
  • Collected experimental data on the local effective elastic modulus (LEM) under different strain rates.
  • Compared experimental LEM values with ABAQUS finite element models using plane stress, plane strain, and axisymmetric element types.

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Main Results:

  • The experimentally derived local effective elastic modulus (LEM) closely correlated with the plane stress analysis in ABAQUS.
  • This indicates the suitability of plane stress models for simulating liver tissue behavior at a local level.

Conclusions:

  • The study successfully developed a method to characterize liver biomechanics relevant to surgical simulation.
  • Plane stress analysis in ABAQUS provides a reliable approach for modeling local liver tissue-in-tool interactions, enhancing haptic feedback in surgical training.