A Model-Based Deep Network For Mri Reconstruction Using Approximate Message Passing Algorithm

We propose a novel model-based network to reconstruct the magnetic resonance (MR) image. In this network, the Approximate Message Passing (AMP) algorithm is unrolled to solve the optimization problem of compressed sensing MR imaging, and several CNN block
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