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

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arxiv 2010.07290 v2 pith:IGQOGAM3 submitted 2020-10-15 eess.IV cs.CVcs.LGphysics.med-phstat.ML

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

classification eess.IV cs.CVcs.LGphysics.med-phstat.ML
keywords reconstructionnetworkchallengefastmrixpdnetachieveapplicationbest
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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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