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Unenhanced abdominal low-dose CT reconstructed with deep learning-based image reconstruction: image quality and anatomical structure depiction.

Tetsuro KagaYoshifumi NodaTakayuki MoriNobuyuki KawaiToshiharu MiyoshiFuminori HyodoHiroki KatoMasayuki Matsuo
Published in: Japanese journal of radiology (2022)
DLIR facilitates substantial radiation dose reduction of > 75% and significantly reduces background noise. DLIR can maintain image quality and anatomical structure depiction in unenhanced abdominal LDCT.
Keyphrases
  • image quality
  • dual energy
  • deep learning
  • low dose
  • computed tomography
  • artificial intelligence
  • high dose
  • convolutional neural network
  • machine learning
  • air pollution
  • magnetic resonance imaging
  • magnetic resonance