VS-Net: Variable splitting network for accelerated parallel MRI reconstruction

19 Jul 2019Jinming DuanJo SchlemperChen QinCheng OuyangWenjia BaiCarlo BiffiGhalib BelloBen StattonDeclan P O'ReganDaniel Rueckert

In this work, we propose a deep learning approach for parallel magnetic resonance imaging (MRI) reconstruction, termed a variable splitting network (VS-Net), for an efficient, high-quality reconstruction of undersampled multi-coil MR data. We formulate the generalized parallel compressed sensing reconstruction as an energy minimization problem, for which a variable splitting optimization method is derived... (read more)

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