Beating-heart registration for organ-mounted robots

Area of Science:

• Robotics
• Medical Engineering
• Surgical Technology

Background:

• Organ-mounted robots offer a solution for beating-heart surgery by minimizing relative motion.
• Cardiac and respiratory motion necessitate both spatial and temporal registration for accurate positioning.

Purpose of the Study:

• To develop and validate a spatiotemporal registration technique for organ-mounted robots.
• To address the challenges of cardiac and respiratory motion in robotic surgery.

Main Methods:

• Collected motion data from a porcine model (N=6) in vivo.
• Developed Fourier series models to represent heart motion.
• Identified optimal registration phases by comparing iterative closest-point approaches at different respiratory phases.

Main Results:

• The proposed spatiotemporal registration technique reduced average registration error by 4.2 mm across six trials.
• This represents a significant improvement over simplistic static registration methods.

Conclusions:

• An empirical metric for spatiotemporal registration of organ-mounted robots was defined.
• The metric was successfully demonstrated using in vivo animal model data.