Image correction for video recording of surgical operations

Abstract

In a system that records and distributes images using a wearable camera during surgery in a medical setting, we investigated a system using sensor feedback and a sensor-less system to prevent VIMS by correcting shaking of the surgical field images and shifts in the angle of view. In this study, we compared the accuracy and practicality of two sensor feedback systems: one that uses 6-axis acceleration and angular rate sensors to measure the position and posture and correct the image, and the other that uses image matching processing such as SIFT to correct the image without using sensors.