Characterisation and modelling of brain tissue for surgical simulation

Area of Science:

• Biomedical Engineering
• Materials Science
• Surgical Simulation

Background:

• Realistic surgical simulators require accurate models of human organs and tissues.
• Challenges include characterizing soft tissue properties and achieving real-time computation for interactive systems.

Purpose of the Study:

• To characterize brain tissue properties under surgical conditions.
• To develop accurate and simple models for brain tissue simulation in interactive surgical systems.

Main Methods:

• Porcine brain tissue was characterized using rotational rheometry at low strain rates and large strains.
• Linear elastic, hyperelastic, and quasi-linear viscoelastic models were defined.
• Simulations were performed using the ABAQUS finite element platform and compared with experimental data.

Main Results:

• Experimental data on brain tissue behavior was obtained.
• The defined models were simulated and compared against experimental results.
• This provides a basis for selecting an appropriate model for brain tissue simulation.

Conclusions:

• Accurate and simple brain tissue models are crucial for effective surgical simulation.
• The characterized properties and simulated models offer a pathway for improved haptic and visual feedback in surgical training.
• This research contributes to advancing the fidelity of medical training and surgical planning technologies.