Computer-aided diagnosis of breast MRI with high accuracy optical flow estimation

Anke Meyer-Baese; Adrian Barbu; Marc Lobbes; Sebastian Hoffmann; Bernhard Burgeth; Andreas Kleefeld; Uwe Meyer-Bäse

doi:10.1117/12.2181815

20 May 2015 Computer-aided diagnosis of breast MRI with high accuracy optical flow estimation

Anke Meyer-Baese, Adrian Barbu, Marc Lobbes, Sebastian Hoffmann, Bernhard Burgeth, Andreas Kleefeld, Uwe Meyer-Bäse

Proceedings Volume 9496, Independent Component Analyses, Compressive Sampling, Large Data Analyses (LDA), Neural Networks, Biosystems, and Nanoengineering XIII; 949605 (2015) https://doi.org/10.1117/12.2181815
Event: SPIE Sensing Technology + Applications, 2015, Baltimore, MD, United States

Abstract

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.

Citation Download Citation

Anke Meyer-Baese, Adrian Barbu, Marc Lobbes, Sebastian Hoffmann, Bernhard Burgeth, Andreas Kleefeld, and Uwe Meyer-Bäse "Computer-aided diagnosis of breast MRI with high accuracy optical flow estimation", Proc. SPIE 9496, Independent Component Analyses, Compressive Sampling, Large Data Analyses (LDA), Neural Networks, Biosystems, and Nanoengineering XIII, 949605 (20 May 2015); https://doi.org/10.1117/12.2181815

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