通过眼动追踪分析放射科医生读取胰腺CT时的视觉搜索模式。
Visual Search Patterns in 3D Pancreatic Imaging: An Eye Tracking Study
- 用眼动追踪记录医生在三维胰腺CT中的注视点与切片切换行为。
- 发现医生主要在轴向切片上聚焦，且注视点呈现阶段性聚集特征。
- 为理解放射科诊断流程提供可视化依据，适合医学影像研究者参考。
眼动追踪已成为研究多个领域中视觉感知与搜索策略的强大工具，尤其在医学领域。尽管在二维场景中应用相对简单，但在三维医学影像中的使用仍具挑战性且研究不足。这一空白对放射学尤为重要，因为临床专家通常需浏览数百张二维切片（多为轴向投影）来解读体积图像，如计算机断层扫描（CT）数据。构建一套用于描述医生在阅读CT体积时眼动行为的分类体系，有助于理解其诊断过程中的视觉策略。本研究以胰腺腹部CT为例，邀请两位放射科医生进行搜索任务，采集眼动数据，并将注视轨迹与切片导航对齐，从而可视化胰腺在体积中的呈现方式，并分析医生在空间与时间维度上的注视行为。
原文摘要 · Abstract (English)
Eye tracking has emerged as a powerful tool for examining visual perception and search strategies in various domains, including medicine. While it is relatively straightforward to apply in 2D settings, its use in 3D medical imaging remains challenging and not yet well explored. This gap is particularly relevant for radiology, where volumetric images such as computed tomography (CT) scans are routinely read by medical experts. Radiologists typically interpret these images by navigating through hundreds of 2D slices, most often viewed in the axial projection. A taxonomy of eye movement data during navigation through a CT volume could be valuable to understand how radiologists approach diagnostic tasks. As an example of the derived taxonomy, we asked two radiologists to search abdominal CTs of the pancreas. We collect eye tracking data and align eye gaze movements with slice navigation to visualize the representation of the pancreas through volume and analyze clinicians' gaze behavior in both space and time.
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