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

2020-10-15Code Available1· sign in to hype

Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck

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Abstract

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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Benchmark Results

DatasetModelMetricClaimedVerifiedStatus
fastMRI Brain 4xXPDNetSSIM0.96Unverified
fastMRI Brain 8xXPDNetSSIM0.94Unverified
fastMRI Knee 4xXPDNetSSIM0.93Unverified
fastMRI Knee 8xXPDNetSSIM0.89Unverified

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