Automated Multimodal Breast CAD Based on Registration of MRI and Two View Mammography
作者： T. Hopp , P. Cotic Smole , N. V. Ruiter
DOI: 10.1007/978-3-319-67558-9_42
关键词:
摘要: Computer aided diagnosis (CAD) of breast cancer is mainly focused on monomodal applications. Here we present a fully automated multimodal CAD, which uses patient-specific image registration MRI and two-view X-ray mammography. The estimates the spatial correspondence between each voxel in pixel cranio-caudal mediolateral-oblique mammograms. Thereby can combine features from both modalities. As proof concept classify fixed regions interest (ROI) into normal suspect tissue. We investigate classification performance several setups against with only. average sensitivity detecting ROIs improves by approximately 2% when combining mammographic views compared to MRI-only detection, while specificity stays at constant level. conclude that automatically enhance result CAD system.
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