Abstract #0580

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

Benjamin Marty^1,2, Fabian Balsiger³, Pierre-Yves Baudin^1,2, Lopez Alfredo^1,2, Ericky CA Araujo^1,2, and Harmen Reyngoudt^1,2

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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