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Abstract #2181

A steady-state MRF sequence optimization framework for 3D simultaneous water T1 and fat fraction mapping

Constantin Slioussarenko1, Pierre-Yves Baudin1, and Benjamin Marty1
1NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France

Synopsis

Keywords: MR Fingerprinting/Synthetic MR, MR FingerprintingWe introduce an optimization framework using the longitudinal steady-state equilibrium for FLASH MRF sequences, and taking into account signal noise by using a Monte Carlo method. We use this framework to optimize echo times, flip angles, timings and recovery time for T1H2O and FF mapping while shortening our original MRF T1-FF sequence. The resulting Fast MRF T1-FF sequence yields comparable estimation results to the original sequence with an almost twice reduced acquisition time.

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