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.
XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge
XPDNet demonstrates superior MRI reconstruction performance by leveraging MRI and computer vision techniques, ranking second in the fastMRI 2020 challenge.
- Year
- 2020
- Venue
- arXiv 2020
- Authors
- 3
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- Abstract onlyARXIV-DEFAULT
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- arxiv.org/abs/2010.07290v2ARXIV-DEFAULT
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