Abstract

Eye movements reflect the visual process of humans’ perception and cognition. In the field of medical imaging, the diagnosis rendered by radiologists is closely related to their eye movements when reading radiological images. It is beneficial to study the eye movements of radiologists to improve the diagnostic performance. However, existing studies are mainly focused on the radiologists’ fixations but rarely on their saccade patterns. Moreover, these studies are almost based on limited datasets. In this paper, we present a quantitative study of the gaze behavior of radiologists from the perspective of saccade patterns on a large-scale dataset. The dataset comprises of the eye-tracking data of 10 expert radiologists reading 196 mammograms. By analyzing the saccade amplitude, direction, and bias of radiologists, we found that radiologists have specific saccade patterns in image reading and the saccade patterns are significantly affected by the different reading phases, working experience, and orientations of the mammograms.

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