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Abstract #1025

Musculoskeletal MR Fingerprinting with dictionary-based fat and water separation

Matteo Cencini1,2, Laura Biagi2,3, Joshua D Kaggie4, Rolf F Schulte5, Michela Tosetti2,3, and Guido Buonincontri2

1Department of Physics, University of Pisa, Pisa, Italy, 2IMAGO7 Foundation, Pisa, Italy, 3Laboratory of Medical Physics and Magnetic Resonance, IRCCS Fondazione Stella Maris, Pisa, Italy, 4Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 5GE Healthcare, Munich, Germany

The purpose of this work is to obtain quantitative MRI maps of fat and water with a fast acquisition using MR Fingerprinting (MRF). The major advantage of MRF is its intrinsic multicomponent quantification capability, which overcomes the limitations of traditional separation techniques. Previous methods using MRF have repeated the same acquisitions for multiple echo times in order to obtain fat fraction maps. Here, variable echo times within a single MRF acquisition are used, in order to estimate T1 and PD of water and fat. We demonstrate quantitative maps in 16s per slice and improved delineation of anatomy in human knees.

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