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Salvaging low contrast abdominal CT studies using noise-optimised virtual monoenergetic image reconstruction.

Scherwin MahmoudiMarvin LangeLukas LengaIbrahim YelVitali KochChristian BoozSimon MartinSimon BernatzThomas VoglMoritz AlbrechtJan-Erik Scholtz
Published in: BJR open (2022)
We validated the impact of VMI+ reconstructions in poorly attenuated DECT studies of the abdomen in a big data cohort.
Keyphrases
  • big data
  • image quality
  • artificial intelligence
  • dual energy
  • machine learning
  • case control
  • contrast enhanced
  • computed tomography
  • magnetic resonance
  • deep learning
  • air pollution
  • magnetic resonance imaging
  • pet ct