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Performance evaluation of a deep learning image reconstruction (DLIR) algorithm in "double low" chest CTA in children: a feasibility study.

Jihang SunHaoyan LiJun GaoJianying LiMichelle LiZuofu ZhouYun Peng
Published in: La Radiologia medica (2021)
"Double low" chest CTA in children using 70 kVp and DLIR provides high image quality with reduced noise and improved vessel enhancement for diagnosis while further reduces radiation and CM dose.
Keyphrases
  • deep learning
  • image quality
  • young adults
  • computed tomography
  • machine learning
  • dual energy
  • artificial intelligence
  • convolutional neural network
  • magnetic resonance imaging
  • radiation therapy
  • radiation induced