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Low-contrast lesion detection in neck CT: a multireader study comparing deep learning, iterative, and filtered back projection reconstructions using realistic phantoms.

Quirin BellmannYang PengUlrich GenskeLi YanMoritz WagnerPaul Jahnke
Published in: European radiology experimental (2024)
Low-contrast lesion detectability was assessed in anatomically realistic neck CT phantoms. Deep learning reconstruction (DLR) outperformed filtered back projection and iterative reconstruction. Dose has little impact on lesion detectability against anatomical background structures.
Keyphrases
  • image quality
  • deep learning
  • computed tomography
  • dual energy
  • magnetic resonance
  • contrast enhanced
  • artificial intelligence
  • convolutional neural network
  • machine learning
  • positron emission tomography