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Compensation for respiratory motion-induced signal loss and phase corruption in free-breathing self-navigated cine DENSE using deep learning.

Mohamad AbdiKenneth C BilchickFrederick H Epstein
Published in: Magnetic resonance in medicine (2023)
DENSE-RESP-NET is an effective method to correct for breathing-associated constant phase errors. DENSE-RESP-NET used in concert with self-navigation methods provides reliable free-breathing DENSE myocardial strain measurement.
Keyphrases
  • deep learning
  • diabetic rats
  • left ventricular
  • heart failure
  • emergency department
  • patient safety
  • oxidative stress
  • drug induced
  • adverse drug
  • mass spectrometry
  • endothelial cells
  • high resolution
  • stress induced