A new model of soft tissue with constraints for interactive surgical simulation

Area of Science:

• Medical Simulation
• Computational Mechanics
• Neurosurgery

Background:

• Accurate real-time soft tissue models are essential for effective surgical simulation.
• Interactive haptic and visual feedback requires precise patient models.

Purpose of the Study:

• To develop a real-time deformation model for brain tissue in interactive surgical simulation.
• To enhance neurosurgical simulation with realistic tissue behavior.

Main Methods:

• A Finite Element Method (FEM) based model with constraints was developed for brain tissue.
• Incorporated a new energy function for virtual instrument-tissue interaction.
• Utilized distance and permanent deformation constraints for dissection and hemostasis simulation.
• Optimized for GPU-based computing to achieve real-time performance.

Main Results:

• Simulated soft tissue demonstrated adhesion and permanent deformation under constraints.
• The model converged to the implicit Euler method solution within 96 iterations.
• Achieved real-time performance suitable for interactive simulation.

Conclusions:

• The proposed FEM model accurately simulates brain tissue behavior during simulated neurosurgical procedures.
• Successfully implemented in a neurosurgical simulator for procedures like meningioma dissection and hemostasis.
• Validates the model's effectiveness for realistic and interactive surgical training.