An important open question in magnetic resonance fingerprinting (MRF) is the optimal choice of sequence parameters, i.e. the ideal length and shape of the pattern that defines the variation of the acquisition parameters. Here we apply a Monte Carlo based measure of sequence performance to find the optimal flip angle pattern for different pattern lengths. Afterwards, the most efficient pattern is found by evaluating these optimized sequences’ actual performance in phantom experiments using various acceleration factors.
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