Improvement of late gadolinium enhancement image quality using a deep learning-based reconstruction algorithm and its influence on myocardial scar quantification.

Journal: European radiology
PMID: 33219845

Abstract

OBJECTIVES: The aim of this study was to assess the effect of a deep learning (DL)-based reconstruction algorithm on late gadolinium enhancement (LGE) image quality and to evaluate its influence on scar quantification.

Authors

  • Nikki van der Velde
    Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands.
  • H Carlijne Hassing
    Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands.
  • Brendan J Bakker
    Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
  • Piotr A Wielopolski
    Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
  • R Marc Lebel
    GE Healthcare, Calgary, Canada.
  • Martin A Janich
    GE Healthcare, Munich, Germany.
  • Isabella Kardys
    Department of Radiology & Nuclear Medicine, Erasmus University Medical Center, Doctor Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands.
  • Ricardo P J Budde
    Department of Radiology, Erasmus Medical Center, Rotterdam, The Netherlands.
  • Alexander Hirsch
    Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands. a.hirsch@erasmusmc.nl.

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