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Parametric cerebral blood flow and arterial transit time mapping using a 3D convolutional neural network.

Donghoon KimMegan E LipfordHongjian HeQiuping DingVladimir IvanovicSamuel N LockhartSuzanne CraftChristopher T WhitlowYoungkyoo Jung
Published in: Magnetic resonance in medicine (2023)
The proposed machine learning-based ATT and CBF mapping offers substantially reduced scan time of multi-PLD pCASL.
Keyphrases
  • convolutional neural network
  • cerebral blood flow
  • machine learning
  • deep learning
  • high resolution
  • high density
  • computed tomography
  • artificial intelligence
  • big data
  • mass spectrometry
  • dual energy