The Bayesian model-based approach has shown a remarkable ability to accurately characterize the APT-CEST effect in vivo. However, no studies have been performed to ensure this performance is maintained when examining labile protons exchanging at faster exchange rates. Here, we examine how exchange rates in the intermediate-to-fast exchange regime affect the characterization of the CEST effect by a model-based approach, and compare it with the MTRasym measurement. The results suggest that the Bayesian model accurately characterizes the CEST effect in question at exchange rates up to 2000 Hz, and outperforms the MTRasym when faced with multiple confounding pools.
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