Automated image rectification in video-endoscopy

Abstract

Video-Endoscopy has proven to be significantly less invasive to the patient. However, it also creates a more complex and difficult operating environment that requires the surgeon to operate through a video interface. Visual feedback control and image interpretation in this operating environment can be troublesome. Automated image analysis has tremendous potential in improving the surgeon’s visual feedback, resulting in better patient safety, reduced operation time, and savings in health care. In this paper, we present our design of an image rectification algorithm for maintaining the head-up display in video-endoscopy and report some preliminary results.