A modular simulation framework for colonoscopy using a new haptic device

Area of Science:

• Medical Simulation
• Computer Graphics
• Robotics

Background:

• Colonoscopy is a vital diagnostic procedure.
• Realistic simulation training is crucial for surgical skills development.
• Existing simulation tools may lack advanced haptic feedback and modularity.

Purpose of the Study:

• To develop a versatile, multi-threaded framework for colonoscopy simulation.
• To integrate real-time haptic feedback using a prototype device.
• To facilitate the incorporation of advanced physically-based modeling techniques.

Main Methods:

• Utilized OpenGL for graphics rendering.
• Developed a multi-threaded framework for efficient processing.
• Integrated a real-time haptic device interface.
• Implemented GPU-accelerated algorithms for runtime modules.

Main Results:

• A modular framework supporting multiple haptic devices was created.
• Efficient integration of physically-based modeling for colonoscope and anatomy was achieved.
• Real-time haptic feedback was enabled through GPU acceleration.

Conclusions:

• The developed framework provides a robust platform for colonoscopy simulation.
• The system enhances training realism through integrated haptic feedback.
• The modular design supports future research and integration of new simulation technologies.