TY - CHAP A1 - Meyer-Baese, Anke A1 - Barbu, Adrian A1 - Lobbes, Marc A1 - Hoffmann, Sebastian A1 - Burgeth, Bernhard A1 - Kleefeld, Andreas A1 - Meyer-Baese, Uwe ED - Szu, Harold H. ED - Dai, Liyi ED - Zheng, Yufeng T1 - Computer-aided diagnosis of breast MRI with high accuracy optical flow estimation T2 - Independent Component Analyses, Compressive Sampling, Large Data Analyses (LDA), Neural Networks, Biosystems, and Nanoengineering XIII N2 - Non-mass enhancing lesions represent a challenge for the radiological reading. They are not well-defined in both morphology (geometric shape) and kinetics (temporal enhancement) and pose a problem to lesion detection and classification. To enhance the discriminative properties of an automated radiological workflow, the correct preprocessing steps need to be taken. In an usual computer-aided diagnosis (CAD) system, motion compensation plays an important role. To this end, we employ a new high accuracy optical flow based motion compensation algorithm with robustification variants. An automated computer-aided diagnosis system evaluates the atypical behavior of these lesions, and additionally considers the impact of non-rigid motion compensation on a correct diagnosis. Y1 - 2015 U6 - https://doi.org/10.1117/12.2181815 PB - SPIE CY - Bellingham, Wash. ER -