Abstract #5065

How to best match voxels – evaluating different sequential co-registration strategies for ultra-high b-value DWI in multiparametric breast MRI

Luise Brock^1,2, Andrzej Liebert¹, Hannes Schreiter¹, Chris Ehring¹, Jessica Eberle¹, Frederik Laun¹, Michael Uder¹, Lorenz A. Kapsner^1,3, Sabine Ohlmeyer¹, Florian Knoll², and Sebastian Bickelhaupt¹

¹Radiology, University hospital Erlangen, Erlangen, Germany, ²Department of Artificial Intelligence in Biomedical Engineering (AIBE), Friedrich-Alexander-University Erlangen-Nuernberg, Erlangen, Germany, ³Chair of Medical Informatics, Friedrich-Alexander-University Erlangen-Nuernberg, Erlangen, Germany

Synopsis

Keywords: DWI/DTI/DKI, Breast

Motivation: Breast MRI increasingly includes ultra-high b-value DWI, but technical and patient-related challenges can cause mismatches to morphologic sequences. Co-registration strategies are needed to reliably apply AI-algorithms to the data.

Goal(s): The study examines how different co-registration orders for ultra-high b-value acquisitions in multiparametric breast MRI impact co-localization to morphologic sequences, both quantitatively and qualitatively.

Approach: This IRB-approved retrospective study of 144 multiparametric breast MRI exams with ultra-high b-value DWI, assessed different co-registration algorithms using ANTs library methods quantitatively and qualitatively.

Results: The sequential arrangement of contrasts used during co-registration significantly affects cross-sequence congruence of lesions in multiparametric breast MRI incorporating ultra-high b-value DWI.

Impact: The study highlights the relevance of considering different sequential arrangements used during co-registration in ultra-high b-value DWI.

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