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Deep learning denoising reconstruction enables faster T2-weighted FLAIR sequence acquisition with satisfactory image quality.

Matthew E BrainShalini AmukotuwaRoland Bammer
Published in: Journal of medical imaging and radiation oncology (2024)
DLR algorithm allowed faster FLAIR acquisition times with comparable image quality and lesion conspicuity. However, an increased incidence and severity of phase ghosting artefact and presence of pseudolesions using this technique may result in a reduction in reading speed, efficiency, and diagnostic confidence.
Keyphrases
  • image quality
  • deep learning
  • convolutional neural network
  • computed tomography
  • machine learning
  • artificial intelligence
  • dual energy
  • magnetic resonance
  • risk factors
  • contrast enhanced
  • working memory
  • amino acid