Automating in vivo cardiac diffusion tensor postprocessing with deep learning-based segmentation.

Journal: Magnetic resonance in medicine
Published Date: Apr 23, 2020

Abstract

PURPOSE: In this work we develop and validate a fully automated postprocessing framework for in vivo diffusion tensor cardiac magnetic resonance (DT-CMR) data powered by deep learning.

Authors

  • Pedro F Ferreira
    Cardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, London, United Kingdom.
  • Raquel R Martin
    Department of Bioengineering, Imperial College, London, United Kingdom.
  • Andrew D Scott
    Cardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, London, United Kingdom.
  • Zohya Khalique
    Cardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, London, United Kingdom.
  • Guang Yang
    National Heart and Lung Institute, Imperial College London, London, UK.
  • Sonia Nielles-Vallespin
    Cardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, London, United Kingdom.
  • Dudley J Pennell
    Cardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, London, United Kingdom.
  • David N Firmin
    Cardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, London, United Kingdom.

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