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A physics-based algorithm for real-time simulation of electrosurgery procedures in minimally invasive surgery
Zhonghua Lu1, Venkata S Arikatla, Zhongqing Han
1Intelligent Manufacture and Control Institution, Wuhan University of Technology, People's Republic of China.
Summary
This study introduces a physically realistic electrosurgery simulator that models electrical, thermal, and mechanical tissue properties. It enhances surgical training by providing greater accuracy than existing methods.
Area of Science:
- Biomedical Engineering
- Surgical Simulation
- Computational Physics
Background:
- High-frequency electricity is integral to most surgical procedures.
- Current computer-based surgical training systems lack physical realism.
- Existing models fail to accurately represent tissue's electrical, mechanical, and thermal interactions.
Purpose of the Study:
- To develop a real-time, physically accurate electrosurgery simulation.
- To improve the fidelity of surgical training tools.
- To model the complex interplay of tissue properties during electrosurgery.
Main Methods:
- Developed a simulation using iteratively solved finite element models for electrical, thermal, and mechanical properties.
- Implemented a dual-mesh dynamic triangulation algorithm for realistic tissue vaporization rendering.
- Utilized block compressed row storage (BCRS) for efficient handling of tissue topology changes.
Main Results:
- Demonstrated a physics-based electrosurgery cutting algorithm with various examples.
- Achieved low computational cost for matrix manipulation algorithms handling topology changes.
- Validated the simulation's capability to model electrosurgery effects.
Conclusions:
- The developed simulator provides significantly higher physical fidelity than prior methods.
- Previous simulators relied on simplified, geometry-based heat characterization.
- This advanced simulation enhances understanding and training for electrosurgery.
