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Deep learning-assisted model-based off-resonance correction for non-Cartesian SWI.

Guillaume Daval-FrérotAurélien MassireBoris MailhéMariappan NadarBlanche BapstAlain LucianiAlexandre VignaudPhilippe Ciuciu
Published in: Magnetic resonance in medicine (2023)
A combination of model-based and network-based off-resonance correction was proposed to significantly accelerate conventional methods. Different promising synergies were observed between acceleration factors (iterations, coils, correction) and model/network that could be expanded in the future.
Keyphrases
  • deep learning
  • energy transfer
  • current status
  • machine learning
  • artificial intelligence
  • convolutional neural network