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
left ventricular
diabetic rats
machine learning
emergency department
patient safety
artificial intelligence
oxidative stress
heart failure
convolutional neural network
mass spectrometry