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Real-time inextensible surgical thread simulation.

Lang Xu1,2, Qian Liu3,4

  • 1Britton Chance Center for Biomedical Photonics, School of Engineering Sciences, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, 430074, China.

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Summary
This summary is machine-generated.

This study presents a real-time simulation for inextensible surgical threads using Cosserat rod theory and position-based dynamics (PBD). The method ensures stable thread twining and knotting, crucial for virtual surgery applications.

Keywords:
Cosserat rodPosition-based dynamicsSurgical threadVirtual surgery

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Area of Science:

  • Computational mechanics
  • Surgical simulation
  • Robotics

Background:

  • Accurate simulation of surgical threads is vital for virtual surgical training and robotic surgery.
  • Existing methods often struggle with stability, inextensibility, and real-time performance.

Purpose of the Study:

  • To develop a real-time simulation method for inextensible surgical threads.
  • To incorporate bending, twisting, and coupling effects using Cosserat rod theory.
  • To achieve stable twining and knotting of surgical threads.

Main Methods:

  • Modeling surgical thread nonlinear elasticity with Cosserat rod theory.
  • Solving the model using position-based dynamics (PBD) for real-time stability.
  • Implementing a direct distance constraint with a tridiagonal matrix algorithm for enhanced stretching resistance.
  • Integrating continuous collision detection and friction for stable multi-thread interactions.

Main Results:

  • The method successfully maintains constant thread length under large deformations.
  • Stable solutions were achieved for twining and knotting of multiple threads, including contact and friction forces.
  • A practical surgical suture scene demonstrated the method's effectiveness.

Conclusions:

  • The developed method provides stable and fast simulations of inextensible surgical threads.
  • The unified particle framework allows simultaneous simulation of rigid bodies, elastic rods, and soft bodies.
  • This approach is suitable for virtual surgery applications involving multiple dynamic bodies.