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Automatic correction of background phase offset in 4D-flow of great vessels and of the heart in MRI using a third-order surface model.

Damian CraiemAriel F PascanerMariano E CasciaroUmit GencerJoaquin AlcibarGilles SoulatElie Mousseaux
Published in: Magma (New York, N.Y.) (2019)
An automatic third-order model corrected velocity offset errors in 4D-flow acquisitions, achieving acceptable levels for clinical applications.
Keyphrases
  • deep learning
  • machine learning
  • magnetic resonance imaging
  • heart failure
  • contrast enhanced
  • atrial fibrillation
  • neural network
  • adverse drug
  • diffusion weighted imaging
  • electronic health record