A marker-based contactless catheter-sensing method to detect surgeons' operations for catheterization training...

Area of Science:

• Biomedical Engineering
• Medical Device Technology
• Surgical Simulation

Background:

• Accurate catheter and guidewire manipulation is crucial in vascular interventions but challenging due to limited visual feedback.
• Surgeon inexperience can lead to critical errors, highlighting the need for effective surgical training.
• Existing training methods often lack the ability to capture the nuanced movements of expert surgeons using actual instruments.

Purpose of the Study:

• To develop a novel contactless catheter-sensing method for measuring catheter motion.
• To enable the capture of expert surgeons' manipulation trajectories for training novice surgeons.
• To facilitate realistic surgical training by allowing conventional catheter manipulation techniques.

Main Methods:

• Proposed a novel contactless catheter-sensing method utilizing a passive marker with four feature-point groups.
• Designed the marker for simultaneous sensing of translational and rotational catheter motions.
• Validated the method through comparison experiments, quantifying accuracy and error metrics.

Main Results:

• The proposed method effectively measures catheter motion with high accuracy.
• Analysis quantified performance using absolute error, relative error, mean absolute error, and detection success rate.
• Demonstrated the feasibility of contactless tracking for realistic surgical training.

Conclusions:

• The developed contactless catheter-sensing method provides an effective solution for capturing surgical instrument trajectories.
• This technology can significantly enhance surgical training by simulating real-world catheter manipulation.
• Further research can refine the system for broader application in interventional procedures.