关键词: 乳腺腺体, 形态学重构滤波器, 标记控制分水岭, Snake模型

Abstract: In the process of breast cancer radiotherapy, the accuracy of mammary gland segmentation is directly related to the effectiveness of patient’s treatment. A coarse-to-fine strategy is proposed for breast gland segmentation. Firstly, morphological reconstruction filter is used to remove image’s small burrs and irregular edges so as to avert new boundaries and boundary migration. The mammary gland is then marked by the area size to differentiate the foreground from the background. After labeling, minima imposition is applied to modify the gradient image. Finally, standard watershed transform is employed to implement segmentation on the basis of modified gradient image, realizing the coarse segmentation of mammary gland. For the purpose of accomplishing the fine segmentation, the curve formed by selected seed points on the watershed ridge is chosen as the initial contour of the snake model to dynamically approach target’s real edges. Experiments show that this method has higher accuracy for mammary gland segmentation.

Key words: mammary gland, morphological reconstruction filers, marker-controlled watershed, Snake model