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A Comparison of Biomechanical Models for MRI to Digital Breast Tomosynthesis 3D Registration

Smole, P. Cotič; Kaiser, C.; Krammer, J.; Ruiter, N. V. 1; Hopp, T. ORCID iD icon 1
1 Institut für Prozessdatenverarbeitung und Elektronik (IPE), Karlsruher Institut für Technologie (KIT)


Increasing interest in multimodal breast cancer diagnosis has led to the development of methods for MRI to X-ray mammography registration. The severe breast deformation in X-ray mammography is often tackled by biomechanical models, yet there is no common consensus in literature about the required complexity of the deformation model and the simulation strategy. We present for the first time an automated patient-specific biomechanical model based image registration ofMRI to digital breast tomosynthesis (DBT). DBT provides three-dimensional information of the compressed breast and as such drives the registration by a volume similarity metric. We compare different simulation strategies and propose a patient-specific optimization of simulation and model parameters. The average three-dimensional breast overlap measured by Dice coefficient of DBT and registered MRI improves for four analyzed subjects by including the estimation of unloaded state, simulation of gravity, and a concentrated pull force that mimics manual positioning of the breast on the plates from 88.1% for a mere compression simulation to 93.1% when including all our proposed simulation steps, whereas additional parameter optimization further increased the value to 94.4%.

DOI: 10.1007/978-3-319-75589-2_11
Zitationen: 2
Zitationen: 3
Zugehörige Institution(en) am KIT Institut für Prozessdatenverarbeitung und Elektronik (IPE)
Publikationstyp Buchaufsatz
Publikationsjahr 2019
Sprache Englisch
Identifikator ISBN: 978-3-319-75589-2
KITopen-ID: 1000127177
HGF-Programm 54.02.02 (POF III, LK 01) Ultraschnelle Datenauswertung
Erschienen in Computational Biomechanics for Medicine – Measurements, Models, and Predictions. Ed.: P.F. Nielsen
Verlag Springer International Publishing
Seiten 107–117
Vorab online veröffentlicht am 15.05.2018
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