Detection of Focal Asymmetry Based on Pair of Mammographic Images
Yi‐Chong Zeng · 2018
Human breasts are not exactly symmetry to each other. However, asymmetry breast tissues reveal risk of abnormality or even cancer. This paper introduces a scheme to detect area of focal asymmetry based on pair of mammographic images. Our scheme consists of transformation process and detection process. In transformation process, the proposed scheme integrates edge detection, curvature computing, and dynamic time warping for estimation of transform matrix. In detection process, we apply histogram matching to target breast image in advance for intensity consistency to pair of images. After transforming reference breast image using the estimated matrix, we then compute image difference between the target and the trans-reference breast images. Eventually, pixels with large differences are treated as a portion of focal asymmetry. The experiment results will demonstrate our scheme achieves good performance in detection of focal asymmetry.