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Abstract #0580

On the reconstruction of MR-fingerprinting with water and fat separation for quantitative skeletal muscle imaging

Benjamin Marty1,2, Fabian Balsiger3, Pierre-Yves Baudin1,2, Lopez Alfredo1,2, Ericky CA Araujo1,2, and Harmen Reyngoudt1,2
1Neuromuscular Investigation Center, NMR Laboratory, Institute of Myology, Paris, France, 2NMR Laboratory, CEA, DRF, IBFJ, MIRCen, Paris, France, 3Support Center for Advanced Neuroimaging, Institute for Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland

Our objective was to determine the influence of the reconstruction parameters on fat fraction and water T1 estimated in the skeletal muscle using MR fingerprinting with water and fat separation, to propose an optimized reconstruction procedure maximizing the accuracy and precision of the MRI variables, and evaluate it on in vivo data. We show that aliasing artefacts generate a bias in the estimates that could be mitigated by introducing a simple correction factor. Then, the accuracy and precision were improved by reconstructing the frames using a single radial spoke, and by using 10 SVD components for dictionary matching.

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