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Abstract #4469

Decorrelation Algorithm for Correcting B1 Artifacts in APTw Imaging at 3 Tesla

Christos Papageorgakis1, Mauro Zucchelli1, Ottavia Dipasquale1, Laura Mancini2,3, Sotirios Bisdas2,3, Patrick Liebig4, Moritz Zaiss5, and Stefano Casagranda1
1Department of R&D Advanced Applications, Olea Medical, La Ciotat, France, 2Lysholm Department of Neuroradiology, University College of London Hospitals NHS Foundation Trust, London, United Kingdom, 3Institute of Neurology UCL, London, United Kingdom, 4Siemens Healthcare GmbH, Erlangen, Germany, 5Institute of Neuroradiology, University Clinic Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany

Synopsis

Keywords: CEST / APT / NOE, CEST & MT, CEST, APTw, B1-correction

Motivation: We present a data-driven approach for B1 correction in APTw MRI eliminating the requirement for additional volume sampling at various B1-values, thereby significantly reducing acquisition time.

Goal(s): This enhancement ensures feasible and robust B1 correction in clinical settings. Our method establishes homogeneity in white matter (WM) and gray matter (GM) values within 3D-APTw volume.

Approach: By modeling the correlation between rB1 and the APTw data, followed by a decorrelation algorithm, we achieve closer alignment of WM and GM values across 3D volume.

Results: This rapid technique considerably reduces acquisition time and significantly improves the coherence of WM and GM values throughout the slices.

Impact: The proposed B1 decorrelation technique strongly impacts qualitative and semi-quantitative APTw imaging applications due to considerable reduction in B1 artifacts. Homogeneous contrast among WM, GM, and tumor values is achieved within and across slices.

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Keywords