Pogue Brian W, Davis Scott C, Song Xiaomei, Brooksby Ben A, Dehghani Hamid, Paulsen Keith D
Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755, USA.
J Biomed Opt. 2006 May-Jun;11(3):33001. doi: 10.1117/1.2209908.
Three major analytical tools in imaging science are summarized and demonstrated relative to optical imaging in vivo. Standard resolution testing is optimal when infinite contrast is used and hardware evaluation is the goal. However, deep tissue imaging of absorption or fluorescent contrast agents in vivo often presents a different problem, which requires contrast-detail analysis. This analysis shows that the minimum detectable sizes are in the range of 1/10 the outer diameter, whereas minimum detectable contrast values are in the range of 10 to 20% relative to the continuous background values. This is estimated for objects being in the center of the domain being imaged, and as the heterogeneous region becomes closer to the surface, the lower limit on size and contrast can become arbitrarily low and more dictated by hardware specifications. Finally, if human observer detection of abnormalities in the images is the goal, as is standard in most radiological practice, receiver operating characteristic (ROC) curve and location receiver operating characteristic curve (LROC) are used. Each of these three major areas of image interpretation and analysis are reviewed in the context of medical imaging as well as how they are used to quantify the performance of diffuse optical imaging of tissue.
总结了成像科学中的三种主要分析工具，并针对体内光学成像进行了演示。当使用无限对比度且目标是硬件评估时，标准分辨率测试是最佳的。然而，体内吸收或荧光造影剂的深层组织成像通常会出现不同的问题，这需要进行对比度-细节分析。该分析表明，最小可检测尺寸在外径的1/10范围内，而最小可检测对比度值相对于连续背景值在10%至20%的范围内。这是针对位于成像区域中心的物体估算的，并且随着异质区域变得更靠近表面，尺寸和对比度的下限可能会变得任意低，并且更多地由硬件规格决定。最后，如果目标是让人类观察者检测图像中的异常情况，这在大多数放射学实践中是标准做法，则使用接收器操作特性（ROC）曲线和位置接收器操作特性曲线（LROC）。将在医学成像的背景下回顾图像解释和分析的这三个主要领域中的每一个，以及它们如何用于量化组织漫射光学成像的性能。
