The MRF framework has significant freedom in sequence design, increasing its utility and scope, but also the difficulty of determining an optimally efficient experiment. To address this challenge, a statistical analysis of MRF is used to develop a model relating the error in relaxation time quantification and the resulting experimental efficiencies to the number of repetitions in a FISP-MRF experiment. In general, T1 and T2 efficiencies peak prior to 1000 time steps, then decrease to constant values for larger time step totals. Therefore, the derived model can be used to design efficient MRF experiments.
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