Non-Intrusive Practitioner Pupil Detection for Unmodified Microscope Oculars

Modern microsurgery is a long and complex task requiring the surgeon to handle multiple microscope controls while performing the surgery. Eye tracking provides an additional mean of interaction for the surgeon that could be used to alleviate this situation, diminishing surgeon fatigue and surgery time, thus decreasing risks of infection and human error. In this paper, we introduce a novel algorithm for pupil detection tailored for eye images acquired through an unmodified microscope ocular. The proposed approach, the Hough transform, and six state-of-the-art pupil detection algorithms were evaluated on over 4000 hand-labeled images acquired from a digital operating microscope with a non-intrusive monitoring system for the surgeon eyes integrated.

Source: Computers in Biology and Medicine - October 6, 2016 Category: Bioinformatics Authors: Wolfgang Fuhl, Thiago Santini, Carsten Reichert, Daniel Claus, Alois Herkommer, Hamed Bahmani, Katharina Rifai, Siegfried Wahl, Enkelejda Kasneci Source Type: research