In this work, we developed a CEST fingerprinting technique for exchange rate quantification. This method utilizes CEST saturation with varying B1 amplitudes and durations to create uniqueness of signal evolution for different exchange rates. The acquired signal was matched to a predefined dictionary. Preliminary studies were performed in phantoms to show the feasibility.
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