Holbert J M, Staiger M, Chang T S, Towers J D, Britton C A
Department of Radiology, University of Pittsburgh, PA 15261-0001, USA.
Acad Radiol. 1995 Apr;2(4):273-6. doi: 10.1016/s1076-6332(05)80183-7.
We investigated non-receiver operating characteristic (non-ROC) methods for the selection of processing algorithms for digital image compression.
We performed a multipoint, rank-order study with 20 posteroanterior chest images, each processed using four different algorithms. Seven radiologists reviewed these alongside the digitized noncompressed image. Observers were forced to rank order the similarity and/or difference of the processed images to the nonprocessed image in each case.
A two-way analysis of variance of the rankings was statistically significant (p = .025), indicating that one processing scheme yielded images that were clearly perceived as the most similar to the nonprocessed images. The selected processing scheme was not the one that yielded the lowest quantitative difference from the nonprocessed images as measured by root mean square error.
Non-ROC study designs that are highly sensitive to small differences among similar images can be used to select processing algorithms.
我们研究了用于选择数字图像压缩处理算法的非接收者操作特征（非ROC）方法。
我们对20张后前位胸部图像进行了多点、排序研究，每张图像使用四种不同算法进行处理。七位放射科医生将这些处理后的图像与数字化的未压缩图像一起进行评估。在每种情况下，观察者都必须对处理后的图像与未处理图像的相似性和/或差异进行排序。
对排序结果进行的双向方差分析具有统计学意义（p = 0.025），表明有一种处理方案生成的图像被明显认为与未处理图像最相似。所选的处理方案并非是根据均方根误差测量得出的与未处理图像定量差异最小的方案。
对相似图像之间的微小差异高度敏感的非ROC研究设计可用于选择处理算法。
