SGER: Data Collection for an Eye Behavior Model of Mammographers

9803735 Mayer这项拟议研究的目标是确定乳房摄影师的眼睛行为是否与他们的诊断准确性相关。 对诊断准确性和眼睛行为之间关系的清晰理解有可能挽救每年估计180，200名患有乳腺癌的妇女的生命。 研究乳房摄影师视觉过程的信息可用于开发有效的训练方法和计算机辅助诊断算法，以减少与这种疾病相关的假阳性和假阴性的发生。 为了验证研究假设，一个不显眼的基于PC的眼睛注视系统，称为埃里卡，将记录乳房摄影师在筛查乳房X光片时使用的视觉模式。 埃里卡硬件位于灯箱下方，可以捕捉读片员在乳房X光检查中使用的视觉过程。 埃里卡系统捕获眼睛位置和瞳孔直径作为时间的函数。 弗吉尼亚大学健康科学中心的乳房X光检查专家将在一年内筛选200个随机选择的乳房X光检查，病例将从弗吉尼亚大学现有的远程乳房X光检查项目中选出，其中包括400个乳房X光检查。 ***

9803735 Mayer The goal of this proposed research is to determine whether the eye behavior of mammographers is correlated to their diagnostic accuracy. A clear understanding of the relationship between diagnostic accuracy and eye behavior has the potential to save many of the lives of the estimated 180,200 woman afflicted with breast cancer each year. The information from studying the visual processes of mammographers can be used to develop effective training methods and computer aided diagnostic algorithms to reduce the occurrence of false positives and false negatives associated with this disease. To test the research hypothesis, an unobtrusive PC based eye-gaze system, called ERICA, will record the visual pattern that mammographers utilize while screening mammograms. The ERICA hardware, positioned beneath a lightbox, can capture the visual process a reader uses in mammographic screening. The ERICA system captures eye position and pupil diameter as a function of time. Mammographic experts from the University of Virginia Health Sciences Center will screen 200 randomly selected mammograms over the course of a year, Cases will be selected from an existing telemammography project at the University of Virginia, which includes 400 mammograms. ***