We describe a new algorithm for model-based MRI reconstruction with separate magnitude and phase regularization. The algorithm, named NAPALM, combines the existing proximal alternating linearized minimization (PALM) algorithm for nonsmooth and nonconvex optimization with Nesterov's acceleration and adaptive gradient (AdaGrad) acceleration methods. Results demonstrate the advantages of NAPALM over existing state-of-the-art algorithms.
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