An MR parameter estimation method using spin- and stimulated-echo signals is proposed. Three-90° pulse sequence is introduced to simultaneously acquire spin and stimulated echo signals. These signals contain rich information that allow for estimation of T1, T2, M0, B0 and B1 maps. We utilize Blip Up-Down Acquisition (BUDA) to eliminate geometric distortion incurred by rapid EPI readout. In order to estimate the parameter maps from the spin- and stimulated-echo signals with high fidelity, two parameter estimation methods, analytic fitting and a novel unsupervised deep neural network method, are developed.
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