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Automated inversion time selection for black-blood late gadolinium enhancement cardiac imaging in clinical practice.

Aurélien MaillotSoumaya SridiXavier PineauAmandine André-BilleauStéphanie HosteinsJean-David MaesGéraldine MontierMarta Nuñez-GarciaBruno QuessonMaxime SermesantHubert CochetMatthias StuberAurélien Bustin
Published in: Magma (New York, N.Y.) (2023)
Thanks to its good performance and simplicity of implementation, the proposed algorithm is a good candidate for automated BL-LGE imaging in clinical practice.
Keyphrases
  • clinical practice
  • machine learning
  • deep learning
  • high resolution
  • high throughput
  • healthcare
  • primary care
  • left ventricular
  • contrast enhanced
  • magnetic resonance imaging
  • quality improvement
  • magnetic resonance