ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformer. (arXiv:2201.09376v2 [eess.IV] UPDATED)

Web: http://arxiv.org/abs/2201.09376

Accelerating magnetic resonance image (MRI) reconstruction process is a
challenging ill-posed inverse problem due to the excessive under-sampling
operation in k-space. In this paper, we propose a recurrent transformer model,
namely ReconFormer, for MRI reconstruction which can iteratively reconstruct
high fertility magnetic resonance images from highly under-sampled k-space
data. In particular, the proposed architecture is built upon Recurrent Pyramid
Transformer Layers (RPTL), which jointly exploits intrinsic multi-scale
information at every architecture unit as well as the dependencies of the deep …

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