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Proceedings Paper

Computer-aided diagnosis of breast MRI with high accuracy optical flow estimation
Author(s): Anke Meyer-Baese; Adrian Barbu; Marc Lobbes; Sebastian Hoffmann; Bernhard Burgeth; Andreas Kleefeld; Uwe Meyer-Bäse
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Paper 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.

Paper Details

Date Published: 20 May 2015
PDF: 8 pages
Proc. SPIE 9496, Independent Component Analyses, Compressive Sampling, Large Data Analyses (LDA), Neural Networks, Biosystems, and Nanoengineering XIII, 949605 (20 May 2015); doi: 10.1117/12.2181815
Show Author Affiliations
Anke Meyer-Baese, Florida State Univ. (United States)
Adrian Barbu, Florida State Univ. (United States)
Marc Lobbes, Maastricht Univ. (Netherlands)
Sebastian Hoffmann, Univ. des Saarlandes (Germany)
Bernhard Burgeth, Univ. des Saarlandes (Germany)
Andreas Kleefeld, Brandenburgische Technische Univ. Cottbus (Germany)
Uwe Meyer-Bäse, Florida State Univ. (United States)


Published in SPIE Proceedings Vol. 9496:
Independent Component Analyses, Compressive Sampling, Large Data Analyses (LDA), Neural Networks, Biosystems, and Nanoengineering XIII
Harold H. Szu; Liyi Dai; Yufeng Zheng, Editor(s)

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