Efficient physics-based tracking of heart surface motion for beating heart surgery robotic systems

Area of Science:

• Robotics in Medicine
• Biomedical Engineering
• Computational Mechanics

Background:

• Accurate tracking of beating heart motion is crucial for advanced robotic cardiovascular interventions.
• Existing methods often lack the realism needed for complex surgical scenarios.

Purpose of the Study:

• To develop an advanced heart surface motion tracking method for robotic surgery systems.
• To improve the accuracy and robustness of cardiac motion tracking during interventions.

Main Methods:

• Developed a stochastic physics-based heart surface model and an efficient reconstruction algorithm.
• Utilized meshless methods to reduce computational complexity.
• The model exploits the heart's physical characteristics without requiring explicit measurement matching.

Main Results:

• The method demonstrates robustness to occlusions and reflections by considering the intervention area's motion.
• Achieved higher accuracy compared to standard model-based methods in simulations and experiments.
• Successfully handled situations with incomplete measurement data.

Conclusions:

• Combining physical and stochastic descriptions ensures physically correct and accurate cardiac motion prediction.
• Automatic initialization facilitates evaluation in clinical settings, advancing robotic surgery capabilities.