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Abstract #5200

On the feasibility of myelin water imaging at low-field MRI using multi-echo GRASE

Gian Franco Piredda1, Thomas Yu1,2,3, Erick Jorge Canales-Rodríguez3, Lina Bacha1,2,3, Tommaso Di Noto1,2,3, Bénédicte Maréchal1,2,3, Dominik Nickel4, Tobias Kober1,2,3, and Tom Hilbert1,2,3
1Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland, 2Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 3LTS5, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 4Siemens Healthineers AG, Erlangen, Germany

Synopsis

Keywords: Quantitative Imaging, Low-Field MRI, Neuro, White Matter, Multiple Sclerosis, Brain Development

Motivation: Low-field MRI may offer benefits for myelin water fraction (MWF) mapping due to the longer T2 of water and more homogeneous B0 and B1+ fields compared to higher field strengths.

Goal(s): To investigate a multi-echo GRASE sequence for MWF mapping at 0.55T.

Approach: Four healthy volunteers were scanned using a multi-echo GRASE sequence with GRAPPA x2 and 2x2 acceleration. Images were reconstructed using both conventional GRAPPA and a deep learning-based method. Resulting MWF maps were compared visually and using a Bland-Altman analysis.

Results: Using GRAPPA 2x2 and deep-learning reconstruction, good quality MWF maps in agreement with GRAPPA x2 could be obtained in 6:41$$$\,$$$minutes.

Impact: By leveraging deep learning-based reconstructions, myelin water imaging is feasible at 0.55T with a multi-component decomposition of multi-echo T2 data acquired in approximately 6 minutes at 2.5 mm isotropic resolution, encouraging further neuroimaging research at low field strengths.

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Keywords