Real-time, haptics-enabled simulator for probing ex vivo liver tissue

Area of Science:

• Biomedical Engineering
• Surgical Simulation
• Computational Mechanics

Background:

• Complex surgical procedures necessitate advanced training tools.
• Current surgical simulators lack realistic haptic feedback for soft tissue interaction.
• Accurate simulation of soft tissue behavior requires robust computational methods.

Purpose of the Study:

• To develop a real-time, haptics-enabled surgical simulator for soft tissue probing.
• To overcome limitations of real-time finite element methods in soft tissue simulation.
• To provide surgeons with a realistic training experience for complex procedures.

Main Methods:

• Utilized preprocessed finite element data for soft tissue simulation.
• Developed a constitutive model for soft tissue based on experimental data.
• Integrated visual and haptic feedback for a comprehensive simulation experience.

Main Results:

• Achieved real-time replication of soft tissue probing tasks.
• Demonstrated accurate tissue displacement and force calculations.
• Validated the simulator's effectiveness for surgical training.

Conclusions:

• The developed simulator offers a viable solution for realistic soft tissue surgical training.
• Preprocessed finite element data enables real-time haptic feedback in surgical simulation.
• This technology can enhance surgeon proficiency and patient safety.