A novel augmented reality (AR) scheme for knee replacement surgery by considering cutting error accuracy.

Area of Science:

• Orthopedic Surgery
• Medical Technology
• Computer-Aided Surgery

Background:

• Augmented reality (AR) in knee replacement surgery faces challenges due to cutting errors causing chronic pain.
• Existing AR systems lack precision for bone cutting in knee arthroplasty.
• Minimizing surgical errors is crucial for improving patient outcomes in knee replacement.

Purpose of the Study:

• To decrease cutting errors in knee replacement surgery using an innovative AR system.
• To reduce chronic pain associated with knee replacement by enhancing surgical accuracy.
• To improve the navigation and precision of bone cuts during knee arthroplasty.

Main Methods:

• A novel augmented reality system employing a volume subtraction technique.
• The system tracks and measures cut areas against the target bone shape.
• Real-time overlay of remaining surgical areas for precise guidance.

Main Results:

• Minimized bone cutting errors by approximately 1 mm.
• Improved video accuracy in alignment from 0.55-0.64 mm to 0.40-0.55 mm.
• Reduced system processing time from 12-13 frames/second to 9-10 frames/second.

Conclusions:

• The proposed AR system effectively overlays only the necessary surgical areas.
• Successfully addresses navigation challenges in AR-assisted bone cutting for knee replacement.
• Demonstrates potential for reducing chronic pain by enhancing surgical precision.