Dougherty G
Department of Radiologic Sciences, Faculty of Allied Health Sciences, Kuwait University, Sulaibikhat.
Comput Med Imaging Graph. 1998 Sep-Oct;22(5):365-73. doi: 10.1016/s0895-6111(98)00043-3.
A simple, quick and computerized method for quantitatively evaluating the image quality of mammography phantom images has been developed. Images of the American College of Radiology (ACR) mammographic accreditation phantoms were acquired under different X-ray techniques, scored and ranked subjectively by five expert readers, and digitized for quantitative analysis. The contrast and signal-to-noise (contrast-to-noise) ratios of the main nodule and microcalcification group were obtained accurately and reproducibly using an image processing protocol. The contrast values were successful at discriminating differences in image quality due to variations in scatter conditions (as a result of different kVp's, and the presence or absence of an acrylic scatterer and/or a moving Bucky grid). They were more precise, reproducible and sensitive than the ACR score. In particular, the contrast of the main nodule was highly correlated (r(s) = 0.988: p<0.001) with the ranking of image quality by our panel of expert readers.
已开发出一种简单、快速且计算机化的方法，用于定量评估乳腺X线摄影体模图像的质量。美国放射学会（ACR）乳腺摄影认证体模的图像是在不同的X射线技术下采集的，由五位专家读者进行主观评分和排名，并进行数字化以进行定量分析。使用图像处理协议准确且可重复地获得了主要结节和微钙化组的对比度和信噪比（对比噪声比）。对比度值成功地辨别了由于散射条件变化（由于不同的千伏峰值、丙烯酸散射体和/或移动滤线栅的存在与否）导致的图像质量差异。它们比ACR评分更精确、可重复且敏感。特别是，主要结节的对比度与我们专家读者小组对图像质量的排名高度相关（r(s)=0.988：p<0.001）。
