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Detection of breast asymmetry using anatomical features

We present a new approach to the detection of breast asymmetry, an important radiological sign of cancer. The conventional approach to this problem is to search for brightness or texture differences between corresponding locations on left and right breast images. Due to the difficulty in accurately identifying corresponding locations, asymmetry cues generated in this way are insufficiently specific to be used as prompts for small and subtle abnormalities in a computer-aided diagnosis system. We have undertaken studies to discover more about the visual cues utilized by radiologists. We propose a new automatic method for detecting asymmetry based on the comparison of corresponding anatomical structures, which are identified by an automatic segmentation of breast tissue types. We describe a number of methods for comparing the shape and grey-level distribution of these regions, and we have achieved promising results by combining evidence for asymmetry.