Objective assessment of sonographic quality I: task information.
Objective assessment of sonographic quality I: task information.
复制标题
超声检查质量的客观评估I：任务信息。
DOI：
10.1109/tmi.2012.2232303
复制
发表时间：
2013
影响因子：
10.6
通讯作者：
Insana,MichaelF
中科院分区：
文献类型：
--
作者：
Nguyen,NghiaQ;Abbey,CraigK;Insana,MichaelF
在本文中，我们探讨了在超声乳腺病变诊断的背景下，理想观察者的表现和基于信息的类可分性措施之间的关系。这项调查的动机是一个发现，因为在超声检查中的理想观察者的检验统计量是回波数据的二次函数，它通常不是正态分布。我们发现，对于某些类型的边界判别任务，往往需要超声病变诊断，偏离正态分布的检验统计量可以是显着的。因此，性能和信息度量之间的通常关系变得不确定。使用Monte Carlo研究，涉及五种常见的超声病变识别任务，我们发现在每种情况下，接收器操作特性分析的可检测性指数dA 2很好地近似于Kullback-Leibler分歧J，这是一种从记录的射频回波数据中获得的临床任务信息的度量。然而，病变的信噪比，SNRI 2，计算从理想的观察者检验统计量的时刻，一贯低估dA 2的高对比度的边界辨别任务。因此，在一篇配套论文中，我们建立了成像系统的图像质量属性和Jin之间的关系，以预测理想的性能。这些关系为超声仪器的评价和设计提供了严格的基础。
In this paper, we explore relationships between the performance of the ideal observer and information-based measures of class separability in the context of sonographic breast-lesion diagnosis. This investigation was motivated by a finding that, since the test statistic of the ideal observer in sonography is a quadratic function of the echo data, it is not generally normally distributed. We found for some types of boundary discrimination tasks often required for sonographic lesion diagnosis, the deviation of the test statistic from a normal distribution can be significant. Hence the usual relationships between performance and information metrics become uncertain. Using Monte Carlo studies involving five common sonographic lesion-discrimination tasks, we found in each case that the detectability indexdA2from receiver operating characteristic analysis was well approximated by the Kullback-Leibler divergenceJ, a measure of clinical task information available from the recorded radio-frequency echo data. However, the lesion signal-to-noise ratio, SNRI2, calculated from moments of the ideal observer test statistic, consistently underestimatesdA2for high-contrast boundary discrimination tasks. Thus, in a companion paper, we established a relationship between image-quality properties of the imaging system andJin order to predict ideal performance. These relationships provide a rigorous basis for sonographic instrument evaluation and design.