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Personalized local SAR prediction for parallel transmit neuroimaging at 7T from a single T1-weighted dataset.

Wyger M BrinkSahar YousefiPrernna BhatnagarRob F RemisMarius StaringAndrew G Webb
Published in: Magnetic resonance in medicine (2022)
A subject-specific body model can be automatically generated from a single T1-weighted dataset by means of deep learning, providing the necessary inputs for accurate and personalized local SAR predictions in PTx neuroimaging at 7T.
Keyphrases
  • deep learning
  • magnetic resonance
  • contrast enhanced
  • network analysis
  • high resolution
  • artificial intelligence
  • machine learning
  • magnetic resonance imaging
  • convolutional neural network
  • mass spectrometry