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Unsupervised cycle-consistent network using restricted subspace field map for removing susceptibility artifacts in EPI.

Qingjia BaoWeida XieMartins OtikovsLiyang XiaHan XieXinjie LiuKewen LiuZhi ZhangFang ChenXin ZhouChaoyang Liu
Published in: Magnetic resonance in medicine (2023)
The proposed method (DLRPG-net) can effectively correct susceptibility artifacts for preclinical and clinical single-shot EPI sequences.
Keyphrases
  • image quality
  • machine learning
  • cone beam
  • cell therapy
  • computed tomography
  • stem cells
  • bone marrow
  • high density