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Adaptation of Deep Learning Image Reconstruction for Pediatric Head CT: A Focus on the Image Quality.

Nim LeeHyun-Hae ChoSo Mi LeeSun Kyoung You
Published in: Journal of the Korean Society of Radiology (2022)
Adaptation of high-level DLIR for the pediatric head CT can significantly reduce image noise. Modification is needed while processing artifacts.
Keyphrases
  • image quality
  • deep learning
  • computed tomography
  • dual energy
  • artificial intelligence
  • optic nerve
  • convolutional neural network
  • machine learning
  • air pollution
  • positron emission tomography
  • magnetic resonance