Eye Monitoring Applications in Medicine

Eye Monitoring Applications in Medicine
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DOI:
10.1007/978-3-540-75412-1_15
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发表时间:
2008-01-01
期刊:
PASSIVE EYE MONITORING: ALGORITHMS, APPLICATIONS AND EXPERIMENTS
影响因子:
--
通讯作者:
Yang, Guang-Zhong
Yang, Guang-Zhong
中科院分区:
其他
文献类型:
--
作者:
Atkins, M. Stella;Nicolaou, Marios;Yang, Guang-Zhong

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自20世纪60年代以来,眼动仪已被用于放射学中的医学图像感知,费城宾夕法尼亚大学卫生系统放射系的Harold Kundel和卡尔文Nodine博士进行了开创性工作[348,457]。最初的研究涉及放射科医生查看胸部或乳房的2D X射线图像的摄影胶片显示在大的“灯箱”。这些早期研究的目的是评价图像处理技术(如边缘增强)的使用,以提高肺部肿瘤的可见性,从而降低错误率[351]。为了使他们的实验严谨,Kundel和Nodine开发了在其他正常胸部图像上合成结节的技术。眼睛监测数据提供了对视觉搜索过程的理解[346]以及发生错误的原因[349,457]。这些项目的目的是提供眼睛凝视驱动的决策支持系统[123,350,456]。
Eye trackers have been used for medical image perception in radiology since the 1960s, with pioneering work by Harold Kundel and Dr. Calvin Nodine from the Department of Radiology, University of Pennsylvania Health System, Philadelphia [348, 457]. Initial studies involved radiologists viewing 2D X-ray images of the chest or breast on photographic film displayed on large “light boxes”. The aim of these early studies was to evaluate the use of image processing techniques, such as edge enhancement, to improve the visibility of lung tumours and hence reduce the error rates [351]. In order to make their experiments rigorous, Kundel and Nodine developed the technique of synthesising nodules photographically on otherwise normal chest images. The eye monitoring data provided understanding of the visual search process [346] and why errors occurred [349, 457]. These projects are motivated by the aim to provide eye-gaze driven decision support systems [123, 350, 456].