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Abstract #1026

Bi-component dictionary for efficient quantification of fat fraction and water T1 via MR Fingerprinting

Constantin Slioussarenko1,2, Pierre-Yves Baudin1,2, Harmen Reyngoudt1,2, and Benjamin Marty1,2
1NMR Laboratory, Institute of Myology, Neuromuscular Investigation Center, Paris, France, 2NMR Laboratory, CEA, DRF, IBFJ, MIRCen, Paris, France


In the field of neuromuscular disorders (NMD), fat fraction (FF) is an established biomarker of disease severity and water T1 (T1H2O) has been shown to be a potential biomarker of disease activity. Those can be efficiently estimated through Magnetic Resonance Fingerprinting. However for muscle studies water-fat separation and FF quantification increase drastically the size of the dictionary and pattern matching time. We introduce here a bicomponent dictionary where water and fat signals are stored separately. This approach allows improving MRF performance and increasing the accuracy of FF quantification.

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