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Magnetic resonance fingerprinting (Ma et al, Nature, 2013) is a method for estimating multiple spatially varying medium parameters from a single MRI experiment. It differs from standard MRI in that spins are not brought to a stationary state, as RF flip angles and repetition times may vary during the entire experiment. We will discuss a mathematical model for MRF imaging and a quantitative basis for the choice of the various parameters.
This presentation is part of Contributed Presentation “CP4 - Contributed session 4”