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A region-based active contour method for extraction of breast skin-line in mammograms

机译:基于区域的主动轮廓法提取乳腺X线照片中的乳房皮肤线

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In this work, we present a novel region-based active contour technique to extract the breast boundary in mammograms. Skin-line extraction in mammograms is non-trivial due to the presence of noise, intensity inhomogeneities, and scanning artifacts. Also, weak contrast near the skin-line boundary, especially in the case of low-density breasts, poses a lot of difficulty in its extraction. Here, we represent the breast boundary by a smooth, parametric curve. The region based data term of the active contour energy is based on the assumption that in a small neighborhood around the skin boundary, the intensity is piece-wise constant. Further, to achieve a good initial guess, we make use of the assumption that at a large scale, the breast image is binary with a fuzzy boundary. A PDE based energy is employed to get the fuzzy membership function. The smoothness term of the above energy allows us to handle noise/ scanning artifacts in mammograms, and allows easy extraction of a single contour, which is then input to the active contour energy. Our experiments on the MIAS database gave promising results as validated by an experienced radiologist.
机译:在这项工作中,我们提出了一种新颖的基于区域的主动轮廓技术,以提取乳房X线照片中的乳房边界。由于存在噪声,强度不均匀性和扫描伪像,因此在乳房X线照片中提取皮肤线条并非易事。而且,在皮肤线边界附近的反差较弱,尤其是在低密度乳房的情况下,在提取时存在很多困难。在这里,我们通过平滑的参数曲线来表示乳房边界。活动轮廓能量的基于区域的数据项基于以下假设:在皮肤边界周围的小邻域中,强度是分段恒定的。此外,为了获得良好的初始猜测,我们使用以下假设:在较大比例下,乳房图像是具有模糊边界的二进制图像。利用基于PDE的能量获得模糊隶属函数。上述能量的平滑度术语使我们能够处理乳房X线照片中的噪声/扫描伪像,并允许轻松提取单个轮廓,然后将其输入到有效轮廓能量中。经经验丰富的放射科医生验证,我们在MIAS数据库上进行的实验给出了令人鼓舞的结果。

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