Heat map visualization of multi-slice medical images through correspondence matching of video frames

Heat map visualization of multi-slice medical images through correspondence matching of video frames
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通过视频帧的对应匹配实现多切片医学图像的热图可视化

DOI:
10.1145/2857491.2857504
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发表时间:
2016
期刊:
Proc. of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications (ETRA)
影响因子:
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通讯作者:
Divesh Lala and Atsushi Nakazawa
Divesh Lala and Atsushi Nakazawa
中科院分区:
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文献类型:
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作者:
池下裕紀;篠崎隆宏;Divesh Lala and Atsushi Nakazawa

文献摘要

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医学图像的视觉检查,如核磁共振成像和CT扫描是医疗专业人员的主要任务,他们必须准确诊断和治疗患者。考虑到这个目标,可视化用于识别这些图像中的异常的搜索行为模式是有意义的。在本文中,我们描述了一个系统的开发,该系统可以从用户观看医学图像切片的眼睛注视数据中自动生成多个图像相关的热图。该系统只需要使用一个不可穿戴的眼球追踪器和视频捕捉系统。主要的自动化功能是识别位于视频帧内的医学图像切片以及计算显示屏幕与原始图像人眼注视位置之间的对应关系。我们建议该系统可用于医学领域的眼睛注视分析和诊断训练。
Visual inspection of medical imagery such as MRI and CT scans is a major task for medical professionals who must diagnose and treat patients without error. Given this goal, visualizing search behavior patterns used to recognize abnormalities in these images is of interest. In this paper we describe the development of a system which automatically generates multiple image-dependent heat maps from eye gaze data of users viewing medical image slices. This system only requires the use of a non-wearable eye gaze tracker and video capturing system. The main automated features are the identification of a medical image slice located inside a video frame and calculation of the correspondence between display screen and raw image eye gaze locations. We propose that the system can be used for eye gaze analysis and diagnostic training in the medical field.