SEARCHING FOR LUNG NODULES - A COMPARISON OF HUMAN-PERFORMANCE WITH RANDOM AND SYSTEMATIC SCANNING MODELS
SEARCHING FOR LUNG NODULES - A COMPARISON OF HUMAN-PERFORMANCE WITH RANDOM AND SYSTEMATIC SCANNING MODELS
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DOI：
10.1097/00004424-198705000-00010
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发表时间：
1987-05-01
影响因子：
6.7
通讯作者：
TOTO, L
中科院分区：
文献类型：
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作者：
KUNDEL, HL;NODINE, CF;TOTO, L
视网膜的对比敏感度在中心处最大，向外围迅速下降。因此，低对比肺结节的检测取决于在扫描期间眼睛注视跳过图像时视网膜受体对图像进行采样的方式。两名放射科医生的扫描性能比较了两种计算模型，系统和随机扫描仪。尽管放射科医生似乎没有随机扫描模式，但他们的图像覆盖范围与随机模型更接近。这表明放射科医生采用一种扫描策略，旨在用尽可能小的视野在最短的时间内覆盖肺部的图像。在搜索过程中，最有效地检测结节的视野大小为3.5度的视角半径。结节检测可能受到人体扫描性能的基本神经限制。
The contrast sensitivity of the retina is greatest in the center and decreases rapidly toward the periphery. Therefore, the detection of low-contrast lung nodules depends upon the manner in which the image is sampled by retinal receptors as eye fixations jump across the image during scanning. The scanning performance of two radiologists was compared with two computed models, a systematic and a random scanner. Although radiologists do not seem to have random scanning patterns, their coverage of the image was matched more closely by the random model. This suggests that radiologists employ a scanning strategy that is designed to cover the image of the lungs in a minimum time using the smallest possible visual field. The visual field size that is most effective in detecting nodules during search has a radius of 3.5 degrees visual angle. Nodule detection may be limited by basic neurologic constraints on human scanning performance.