Abstract #1026

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

Constantin Slioussarenko^1,2, Pierre-Yves Baudin^1,2, Harmen Reyngoudt^1,2, and Benjamin Marty^1,2

¹NMR Laboratory, Institute of Myology, Neuromuscular Investigation Center, Paris, France, ²NMR Laboratory, CEA, DRF, IBFJ, MIRCen, Paris, France

Synopsis

In the field of neuromuscular disorders (NMD), fat fraction (FF) is an established biomarker of disease severity and water T1 (T1_H2O) 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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