Search for lesions in mammograms: Statistical characterization of observer responses
Search for lesions in mammograms: Statistical characterization of observer responses
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DOI：
10.1118/1.1630493
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发表时间：
2004-01-01
期刊：
影响因子：
3.8
通讯作者：
Eckstein, MP
中科院分区：
文献类型：
--
作者：
Bochud, FO;Abbey, CK;Eckstein, MP
我们研究了人类在视觉上检测x线乳房x线照片中嵌入的模拟微钙化和肿瘤的表现，作为信号对比度和可能信号位置数量的函数。我们的研究结果表明，信号检测理论（SDT）在通常的高斯假设下很好地近似了随着位置数量增加而产生的性能下降。然而，更严格的统计分析发现，微钙化的检测偏离了高斯假设。我们研究了这些偏离SDT高斯模型是否可以通过1/f光谱背景和/或偏离高斯假设的观察者内部响应分布中存在的图像-像素相关性引起的人类内部响应相关性的增加来解释。结果与高斯响应分布的偏离一致，表明人类观察者的内部响应比高斯分布更紧凑。最后，我们进行了一个自由搜索实验，信号可以出现在图像中的任何地方。结果表明，当研究者考虑搜索区域和观察者固有的空间不精确性来定位目标时，人类在多选项强迫选择实验中的表现可以用来预测临床现实自由搜索实验中的表现。(C) 2004年美国医学物理学家协会。
We investigate human performance for visually detecting simulated microcalcifications and tumors embedded in x-ray mammograms as a function of signal contrast and the number of possible signal locations. Our results show that performance degradation with an increasing number of locations is well approximated by signal detection theory (SDT) with the usual Gaussian assumption. However, more stringent statistical analysis finds a departure from Gaussian assumptions for the detection of microcalcifications. We investigated whether these departures from the SDT Gaussian model could be accounted for by an increase in human internal response correlations arising from the image-pixel correlations present in 1/f spectrum backgrounds and/or observer internal response distributions that departed from the Gaussian assumption. Results were consistent with a departure from the Gaussian response distributions and suggested that the human observer internal responses were more compact than the Gaussian distribution. Finally, we conducted a free search experiment where the signal could appear anywhere within the image. Results show that human performance in a multiple-alternative forced-choice experiment can be used to predict performance in the clinically realistic free search experiment when the investigator takes into account the search area and the observers' inherent spatial imprecision to localize the targets. (C) 2004 American Association of Physicists in Medicine.