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What do surgeons see: capturing and synchronizing eye gaze for surgery applications.
M Stella Atkins1, Geoffrey Tien, Rana S A Khan
1Simon Fraser University, Burnaby, British Columbia, Canada. stella@cs.sfu.ca
Surgical Innovation
|June 15, 2012
Summary
Eye-tracking technology can enhance surgical training by monitoring surgeons' gaze. This study details experiences with various eye-trackers in laboratory and operating room settings, highlighting challenges and solutions for practical implementation.
Area of Science:
- Medical Technology
- Surgical Training
- Human-Computer Interaction
Background:
- Recording eye movements in surgical settings presents significant technical challenges.
- Improving surgical training through objective performance metrics is an ongoing area of research.
Purpose of the Study:
- To evaluate the feasibility and challenges of using eye-tracking technology for surgical training.
- To compare different eye-tracking systems in laboratory and real operating room (OR) environments.
- To identify solutions for integrating eye-tracking into the OR workflow and data processing.
Main Methods:
- Utilized three distinct eye-tracking systems: a head-mounted device, a monitor-integrated high-resolution tracker, and a detached-camera high-resolution tracker.
- Evaluated systems in simulated and actual operating room environments during 11 laparoscopic procedures.
- Assessed system capabilities for capturing gaze shifts, eye-hand coordination, and logistical integration.
Main Results:
- Head-mounted trackers captured general gaze but lacked resolution for detailed surgical display analysis.
- Monitor-integrated trackers offered high resolution for laboratory studies but were limited by tracking distance in the OR.
- A detached-camera system successfully recorded surgeon gaze during live laparoscopic surgeries, despite logistical and data processing hurdles.
Conclusions:
- Eye-tracking holds promise for enhancing surgical training and performance analysis.
- Successful implementation requires careful selection of equipment based on specific needs (resolution vs. tracking distance).
- Addressing logistical challenges and data processing is crucial for unobtrusive integration into the OR workflow.

