Abstract #3522

Robust fat fraction mapping in the presence of magnetic field inhomogeneities with phase-cycled bSSFP

Berk Can Acikgoz^1,2,3, Adèle L.C. Mackowiak⁴, Giulia M.C. Bongiolatti-Rossi⁴, Nils M.J. Plähn^1,2,3, Eva S. Peper^1,2, Tom Hilbert^4,5,6, and Jessica A.M. Bastiaansen^1,2

¹Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland, ²Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland, ³Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland, ⁴Department of Radiodiagnosis and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, ⁵Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland, ⁶LTS5, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland

Synopsis

Keywords: Fat & Fat/Water Separation, Fat and Fat/Water Separation, PDFF, phase-cycled bSSFP, inhomogeneity mapping

Motivation: The current implementation of fat fraction quantification based on phase-cycled bSSFP suffers from water-fat swaps due to magnetic field inhomogeneities.

Goal(s): To develop an approach to simultaneously estimate magnetic field inhomogeneities and fat fraction maps from phase-cycled bSSFP data to avoid water fat swaps.

Approach: Phase-cycled bSSFP-based B0 and fat fraction maps were compared with multi-echo gradient-echo (MEGRE)-based maps.

Results: Phase-cycled bSSFP-based B0 and fat fraction estimations matched with the reference and significantly increased the quality of fat fraction maps. The method avoided water-fat swaps, even in regions with large field inhomogeneities.

Impact: Mapping and correcting magnetic field inhomogeneities improves phase-cycled bSSFP fat fraction mapping, enabling its use in complex anatomical regions such as liver and potentially broadening its applicability in low-SNR settings as low-field MRI, where fat fraction mapping is typically challenging.

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