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Fully-automated global and segmental strain analysis of DENSE cardiovascular magnetic resonance using deep learning for segmentation and phase unwrapping.

Sona GhadimiDaniel A AugerXue FengChangyu SunCraig H MeyerKenneth C BilchickJie Jane CaoAndrew D ScottJohn N OshinskiDaniel B EnnisFrederick H Epstein
Published in: Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance (2021)
Deep learning enables fully-automatic global and segmental circumferential strain analysis of DENSE CMR providing excellent agreement with conventional user-assisted methods. Deep learning-based automatic strain analysis may facilitate greater clinical use of DENSE for the quantification of global and segmental strain in patients with cardiac disease.
Keyphrases
  • deep learning
  • convolutional neural network
  • artificial intelligence
  • magnetic resonance
  • machine learning
  • left ventricular
  • heart failure
  • atrial fibrillation
  • magnetic resonance imaging
  • contrast enhanced