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Machine learning RF shimming: Prediction by iteratively projected ridge regression.

Julianna D IanniZhipeng CaoWilliam A Grissom
Published in: Magnetic resonance in medicine (2018)
PIPRR predicted uniform, SAR-efficient RF shims, and could save a large amount of B1+ mapping and computation time in RF-shimmed ultra-high field magnetic resonance imaging.
Keyphrases
  • magnetic resonance imaging
  • machine learning
  • high resolution
  • climate change
  • computed tomography
  • artificial intelligence
  • deep learning
  • mass spectrometry