Deep learning based MRI reconstruction with transformer

Zhengliang Wu, Weibin Liao, Chao Yan, Mangsuo Zhao, Guowen Liu, Ning Ma, Xuesong Li

Abstract: Highlights•New approach leveraging Transformer’s powerful processing ability to recover structure in deep MRI reconstruction.•Proposed models achieve best reconstruction performances in reconstruction tasks of different contrasts and anatomies.•K-space consistency layers are combined in the model to reach local optimum and get better fidelity.•Visually coherent results can be generated in extremely low sampling ratio with 10 times speed-up.