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Bloch simulator-driven deep recurrent neural network for magnetization transfer contrast MR fingerprinting and CEST imaging.

Munendra SinghShanshan JiangYuguo LiPeter van ZijlJinyuan ZhouHye-Young Heo
Published in: Magnetic resonance in medicine (2023)
Bloch simulator-driven, deep-learning MTC-MRF can provide robust and repeatable multiple-tissue parameter quantification in a clinically feasible scan time on a 3T scanner.
Keyphrases
  • neural network
  • deep learning
  • magnetic resonance
  • virtual reality
  • contrast enhanced
  • computed tomography
  • high resolution
  • artificial intelligence
  • image quality
  • mass spectrometry
  • dual energy