Dynamic 3-D virtual fixtures for minimally invasive beating heart procedures

Area of Science:

• Medical Technology
• Surgical Robotics
• Human-Computer Interaction

Background:

• Minimally invasive cardiac surgery relies on 2-D/3-D visual guidance, which has limitations like restricted field of view and interpretation difficulties.
• These challenges are amplified during beating-heart procedures due to cardiac motion, complicating surgical tasks and increasing risks.

Purpose of the Study:

• To introduce dynamic 3-D virtual fixtures (DVFs) that integrate haptic feedback with visual guidance systems.
• To augment surgical guidance by constraining surgeon hand motions, thereby protecting sensitive cardiac structures.

Main Methods:

• DVFs are generated from preoperative dynamic magnetic resonance (MR) or computed tomography (CT) images.
• The generated DVFs are mapped to the patient during surgery to provide real-time guidance.
• Feasibility was validated through simulated surgical tasks using cardiac image datasets.

Main Results:

• The integration of visual and haptic guidance using DVFs demonstrated improved ease of performing surgical tasks.
• A reduced error rate was observed in users performing simulated surgical tasks with the DVF system.
• This represents the first work in virtual fixtures to explicitly address and incorporate cardiac motion.

Conclusions:

• Dynamic 3-D virtual fixtures offer a novel approach to enhance surgical guidance in complex cardiac procedures.
• The combination of visual and haptic feedback through DVFs can significantly improve surgical performance and safety.
• This technology holds promise for advancing minimally invasive cardiac surgery, particularly in beating-heart interventions.