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Towards a soft-tissue cutting simulator using the cohesive zone approach.

Kevin Lister1, Alan Lau, Jaydev P Desai

  • 1Robotics, Automation and Medical Systems Laboratory, University of Maryland, College Park, MD 20742, USA. klister@umd.edu

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 19, 2012
PubMed
Summary

This study introduces a new fracture mechanics model for simulating scalpel cutting in surgical training. The cohesive zone approach accurately models soft tissue interactions, improving simulator realism.

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Area of Science:

  • Computational modeling
  • Biomechanical engineering
  • Surgical simulation

Background:

  • Surgical training requires realistic simulators due to complex procedures and reduced resident training time.
  • Existing models focus on general tissue deformation, neglecting specific tool-tissue interactions like cutting.
  • Accurate modeling of cutting is crucial for effective surgical simulation.

Purpose of the Study:

  • To present a novel fracture mechanics-based method for modeling scalpel cutting of biological tissue.
  • To implement a cohesive zone approach for simulating the cutting process.
  • To define model parameters using in vivo cutting data for enhanced realism.

Main Methods:

  • Developed a fracture mechanics model incorporating a cohesive zone approach.
  • Applied the model to simulate the scalpel cutting of porcine liver.
  • Calibrated the cohesive zone model parameters using in vivo cutting data.

Main Results:

  • Successfully modeled the physical properties of scalpel-tissue interaction during cutting.
  • The cohesive zone approach provided accurate simulation of soft tissue cutting.
  • Parameters were defined for realistic simulation of porcine liver cutting.

Conclusions:

  • The proposed fracture mechanics and cohesive zone method accurately models scalpel cutting in soft tissues.
  • This approach enhances the fidelity of surgical simulators for training purposes.
  • The study provides a foundation for more sophisticated modeling of surgical tool-tissue interactions.