Nakata M
Nihon Igaku Hoshasen Gakkai Zasshi. 1989 Apr 25;49(4):454-67.
Image processing conditions of mammography using FCR (Fuji Computed Radiography) to detect mass shadow, marginal finding and microcalcification of breast cancer were examined. The subjects of the examination for mass shadow and marginal finding were 25 cases out of 55 breast cancers operated from December 1986 to August 1988. Three surgeons and two radiologists evaluated processing conditions. The optimum conditions of spatial frequency enhancement were RN(1 or 3) RT(P) RE(1.0) for mass shadow and RN(7) RT(P) RE(2.0) for marginal finding under routine gradational enhancement condition. ROC curves obtained from the phantom with a granule of aluminum were used to optimize image processing condition for microcalcification. It was shown that GT(M)GA(1.0)GC(0.6)RN(9)RT(F)RE(4.0) gave the best detectability among five image processing conditions.
研究了使用富士计算机放射成像（FCR）进行乳腺摄影的图像处理条件，以检测乳腺癌的肿块阴影、边缘特征和微钙化。1986年12月至1988年8月接受手术的55例乳腺癌中，有25例作为肿块阴影和边缘特征检查的对象。三名外科医生和两名放射科医生评估了处理条件。在常规灰度增强条件下，肿块阴影的空间频率增强最佳条件为RN(1或3)、RT(P)、RE(1.0)，边缘特征的最佳条件为RN(7)、RT(P)、RE(2.0)。使用含有铝颗粒的模体获得的ROC曲线来优化微钙化的图像处理条件。结果表明，在五种图像处理条件中，GT(M)GA(1.0)GC(0.6)RN(9)RT(F)RE(4.0)具有最佳的可检测性。
