The contribution presents a method for simultaneous processing of the DCE- and DSC-MRI perfusion data acquired using a multi-echo sequence. It is an extension of the sequential application of the so-called gradient correction model. In the sequential approach, relaxivity parameters are estimated from the DSC signal based on perfusion parameters calculated from the DCE signal. Here the perfusion and relaxivity parameters are estimated using an iterative alternating optimization strategy. The impact on accuracy and precision is tested on synthetic data. The results show that the suggested approach can yield a remarkable improvement, especially for noisy data.
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