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k-Space deep learning for reference-free EPI ghost correction.

Juyoung LeeYoseob HanJae-Kyun RyuJang-Yeon ParkJong Chul Ye
Published in: Magnetic resonance in medicine (2019)
The proposed k-space deep learning for EPI ghost correction is highly robust and fast, and can be combined with acceleration, so that it can be used as a promising correction tool for high-field MRI without changing the current acquisition protocol.
Keyphrases
  • deep learning
  • artificial intelligence
  • convolutional neural network
  • randomized controlled trial
  • magnetic resonance imaging
  • contrast enhanced
  • magnetic resonance
  • diffusion weighted imaging