The proposed reconstruction framework for MR-Fingerprinting (MRF) combines a low rank approximation of the signal's temporal evolution with the alternating direction method of multipliers. This general framework allows for incorporating parallel imaging and compressed sensing. The low rank approximation of the signal's temporal evolution reduces the number of fast Fourier transformations significantly and adresses the non-convexity of the MRF-reconstruction problem. Overall, the convergence is improved and undersampling artifacts are reduced, resulting in a fast, robust and flexible reconstruction framework.
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