Login / Signup

Implementation and Validation of a Three-dimensional Cardiac Motion Estimation Network.

Manuel A MoralesDavid Izquierdo-GarciaIman AganjJayashree Kalpathy-CramerBruce R RosenCiprian Catana
Published in: Radiology. Artificial intelligence (2019)
The proposed deep learning-based approach for three-dimensional cardiac motion estimation allowed the derivation of a motion model that balances motion characterization and image registration accuracy and achieved motion estimation accuracy comparable to or better than that of several state-of-the-art image registration algorithms.© RSNA, 2019Supplemental material is available for this article.
Keyphrases
  • deep learning
  • high speed
  • machine learning
  • left ventricular
  • primary care
  • convolutional neural network
  • heart failure
  • artificial intelligence
  • quality improvement
  • atrial fibrillation