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Abstract #0275

XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge

Zaccharie Ramzi1,2,3, Jean-Luc Starck2, and Philippe Ciuciu1,3
1Neurospin, Gif-Sur-Yvette, France, 2Cosmostat team, CEA, Gif-Sur-Yvette, France, 3Parietal team, Inria Saclay, Gif-Sur-Yvette, France

We present a new neural network, the XPDNet, for MRI reconstruction from periodically under-sampled multi-coil data. We inform the design of this network by taking best practices from MRI reconstruction and computer vision. We show that this network can achieve state-of-the-art reconstruction results, as shown by its ranking of second in the fastMRI 2020 challenge.

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