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Intraoperative interaction modeling between surgical instruments and soft tissues in neurosurgery based on energy
Ting Wang1, Jilin Wang1, Zhenxing Li2
1College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, Jiangsu, China.
Computer Methods in Biomechanics and Biomedical Engineering
|November 26, 2024
Summary
This study presents a new physical model for simulating soft brain tissue deformation. The model enhances realism in neurosurgical simulations by accurately depicting tissue interactions with surgical instruments.
Area of Science:
- Neurosurgery
- Biomedical Engineering
- Computational Mechanics
Background:
- Realistic physical models are essential for effective neurosurgical simulation.
- Accurate simulation requires capturing complex soft tissue deformation.
- Current models may not fully represent tissue response during surgical procedures.
Purpose of the Study:
- To develop and validate a novel soft tissue deformation simulation method for neurosurgery.
- To incorporate permanent deformation and volume preservation into a physical model.
- To improve the realism of haptic and visual feedback in surgical simulations.
Main Methods:
- A soft tissue deformation simulation method based on energy minimization and constrained energy functions was proposed.
- A permanent deformation energy function, considering friction, was integrated.
- A volume preservation energy function was included to enhance accuracy.
Main Results:
- The proposed simulation method accurately depicts soft brain tissue response to surgical instruments.
- Experimental results demonstrate the model's suitability for neurosurgical simulation.
- The model effectively simulates procedures like meningioma resection and hematoma evacuation.
Conclusions:
- The developed physical model provides realistic and real-time feedback for neurosurgical training.
- The energy minimization approach with specific energy functions enhances simulation fidelity.
- This method meets the critical requirements for advanced neurosurgical simulation platforms.
