Chemical exchange saturation transfer (CEST) imaging shows great potential in clinical application. Separating the nuclear Overhauser enhancement (NOE) and amide proton transfer (APT) effects properly is highly valuable for clinical application of CEST. In this study, the background Z-spectra including only the magnetization transfer and direct saturation effects was fitted by using neural network, then CEST and NOE maps were obtained simultaneously. The reproducibility and feasibility of new method were demonstrated in four healthy volunteers and two patients with ischemic stroke.
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