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Blood flow imaging by optimal matching of computational fluid dynamics to 4D-flow data.

Johannes TögerMatthew J ZahrNicolas AristokleousKarin Markenroth BlochMarcus CarlssonPer-Olof Persson
Published in: Magnetic resonance in medicine (2020)
Phantom and in vivo results from 4D-flow HIKING show promise for future applications with higher resolution, shorter scan times, and accurate quantification of physiological parameters.
Keyphrases
  • blood flow
  • high resolution
  • big data
  • computed tomography
  • electronic health record
  • dual energy
  • single molecule
  • image quality
  • mass spectrometry
  • machine learning
  • fluorescence imaging