In this work, we demonstrate the estimation of DCE acquired perfusion parameters using a DRONE neural network trained on numeric simulated data. Experiments in a digital phantom are used to demonstrate the feasibility of our approach and the clinical utility is shown in subjects with gynecological tumors.
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