Learning a variational network for reconstruction of accelerated MRI data

Purpose To allow fast and high‐quality reconstruction of clinical accelerated multi‐coil MR data by learning a variational network that combines the mathematical structure of variational models with deep learning. Theory and Methods Generalized compressed sensing reconstruction formulated as a varia... View More