Keywords: CEST & MT, CEST & MTAn optimal saturation transfer MR fingerprinting (ST-MRF) acquisition schedule is critical for efficient and accurate tissue parameter mapping. To optimize RF saturation-encoded MRF acquisitions to a minimal number of saturation scan parameters for magnetization transfer contrast (MTC) and chemical exchange saturation transfer (CEST) parameter determination, we developed an optimization framework using a support vector regression-recursive feature elimination (SVR-RFE) method. Bloch simulations and in vivo studies showed that the proposed optimization method outperformed the quantification accuracy compared to existing methods. The SVR-RFE-based optimization method allowed us to reduce scan time by ~50% without sacrificing reconstruction accuracy.
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