Yin F F, Giger M L, Doi K, Metz C E, Vyborny C J, Schmidt R A
Kurt Rossmann Laboratories for Radiologic Image Research, Department of Radiology, University of Chicago, Illinois 60637.
Med Phys. 1991 Sep-Oct;18(5):955-63. doi: 10.1118/1.596610.
A computerized scheme is being developed for the detection of masses in digital mammograms. Based on the deviation from the normal architectural symmetry of the right and left breasts, a bilateral subtraction technique is used to enhance the conspicuity of possible masses. The scheme employs two pairs of conventional screen-film mammograms (the right and left mediolateral oblique views and craniocaudal views), which are digitized by a TV camera/Gould digitizer. The right and left breast images in each pair are aligned manually during digitization. A nonlinear bilateral subtraction technique that involves linking multiple subtracted images has been investigated and compared to a simple linear subtraction method. Various feature-extraction techniques are used to reduce false-positive detections resulting from the bilateral subtraction. The scheme has been evaluated using 46 pairs of clinical mammograms and was found to yield a 95% true-positive rate at an average of three false-positive detections per image. This preliminary study indicates that the scheme is potentially useful as an aid to radiologists in the interpretation of screening mammograms.
正在开发一种用于检测数字化乳腺X线照片中肿块的计算机化方案。基于左右乳房正常结构对称性的偏差，采用双边减法技术来增强可能肿块的可见性。该方案使用两对传统的屏-片乳腺X线照片（右和左内外斜位视图以及头尾位视图），这些照片由电视摄像机/古尔德数字化仪进行数字化。在数字化过程中，每对中的右乳房和左乳房图像通过手动对齐。已经研究了一种涉及链接多个减法图像的非线性双边减法技术，并将其与简单的线性减法方法进行了比较。使用各种特征提取技术来减少双边减法产生的假阳性检测。该方案已使用46对临床乳腺X线照片进行了评估，发现在平均每张图像有三次假阳性检测的情况下，真阳性率为95%。这项初步研究表明，该方案在辅助放射科医生解读筛查乳腺X线照片方面可能是有用的。
