Chemical Exchange Saturation Transfer (CEST) enables characterization of tissue in vivo by measuring a z-spectrum. Quantitative separation of individual contributions to this spectrum is performed by fitting several Lorentzian shaped lines to the acquired data. Current implementations of the fitting procedure suffer from poor SNR and ambiguity of peaks lying close to each other. To this end, we propose to include a joint spatial regularization to the fitting process to counter the poor SNR and thus improve separation of individual peaks in the final reconstruction.
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