Development of a CEST-MR Fingerprinting (CEST-MRF) pulse sequence combined with a physics-based deep learning approach suitable for use on a 3T clinical scanner is described and its utility demonstrated in a healthy human brain. The acquisition is short (less than 2 minutes) and simultaneously yields 6 quantitative tissue parameters that can be used for tissue characterization.
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