Optimization of acquisition strategies plays a key role in CEST-MRF imaging. However, an effective method to assess the performance of acquisition strategies in CEST quantification is lacking. In this study, we proposed a Cramer-Rao bound (CRB) based metric to measure the accuracy of CEST-MRF in pH quantification under various acquisition schemes. The results of both simulation and phantom experiments showed that the CRB-based index outperformed the conventionally used dictionary similarity metrics that are measured with dot products and Euclidean distance, implying that the proposed algorithm has great potential in optimizing CEST-MRF imaging for improved pH measurement.
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