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Automatic Localization of the Nipple in Mammograms Using Gabor filters and the Radon Transform

机译:使用Gabor滤波器和氡变换自动定位乳头XPPLE中的乳头图像

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The nipple is an important landmark in mammograms. Detection of the nipple is useful for alignment and registration of mammograms in computer-aided diagnosis of breast cancer. In this paper, a novel approach is proposed for automatic detection of the nipple based on the oriented patterns of the breast tissues present in mammograms. The Radon transform is applied to the oriented patterns obtained by a bank of Gabor filters to detect the linear structures related to the tissue patterns. The detected linear structures are then used to locate the nipple position using the characteristics of convergence of the tissue patterns towards the nipple. The performance of the method was evaluated with 200 scanned-film images from the mini-MI AS database and 150 digital radiography (DR) images from a local database. Average errors of 5.84 mm and 6.36 mm were obtained with respect to the reference nipple location marked by a radiologist for the mini-MIAS and the DR images, respectively.
机译:乳头是乳房X光线照片的重要地标。乳头的检测可用于对准和登记乳腺癌的乳房X光检查的对准和登记。在本文中,提出了一种基于乳房X线照片中存在的乳腺组织的定向模式的乳头自动检测乳头的新方法。氡变换应用于由Gabor滤波器群获得的定向图案,以检测与组织图案相关的线性结构。然后使用检测到的线性结构来使用组织图案朝向乳头的收敛特性定位乳头位置。使用来自局部数据库的Mini-Mi作为数据库和150个数字射线照相(DR)图像的200扫描胶片图像评估该方法的性能。相对于由迷你米西和DR图像标记的参考乳头位置获得5.84mm和6.36mm的平均误差。

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