Cardiac Magnetic Resonance Fingerprinting (MRF) produces co-registered, multi-parametric maps from highly accelerated acquisitions. Low rank methods leveraging temporal information have enabled highly undersampled MRF reconstructions. However, residual aliasing from these reconstructions can potentially propagate through the MRF framework into the parametric maps. Region-Optimized Virtual coils have recently been proposed for undersampled reconstructions in conventional imaging, by suppressing unwanted sources of aliasing signal. Here we combine both methods and investigate its performance in Cardiac Magnetic Resonance Fingerprinting.
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