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Virtual monochromatic images of dual-energy CT as an alternative to single-energy CT: performance comparison using a detectability index for different acquisition techniques.

Hiroki KawashimaKatsuhiro IchikawaHiroshi UetaTadanori TakataWataru MitsuiHiroji Nagata
Published in: European radiology (2023)
• This study evaluated the performance of VM images with the same dose and iodine contrast as those for SE images using five DE scanners. • The performance of VM images varied with the DE techniques and their generations and was mostly inferior at low equivalent energy levels. • The results highlight the importance of distribution of available dose over the two energy levels and spectral separation for the performance improvement of VM images.
Keyphrases
  • dual energy
  • computed tomography
  • deep learning
  • convolutional neural network
  • optical coherence tomography
  • image quality
  • contrast enhanced
  • magnetic resonance imaging
  • machine learning
  • clinical evaluation