Login / Signup

Effectively Training MRI Reconstruction Network via Sequentially Using Undersampled k-Space Data with Very Low Frequency Gaps.

Tian-Yi XingXiao-Xin LiZhi-Jie ChenXi-Yu ZhengFan Zhang
Published in: ISBRA (2022)
Keyphrases
  • low frequency
  • data sets
  • image data
  • high quality
  • high frequency
  • network structure
  • training data
  • sparsely sampled
  • multiscale
  • subband
  • discrete wavelet transform