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Deep learning-based noise reduction for coronary CT angiography: using four-dimensional noise-reduction images as the ground truth.

Takuma KobayashiTatsuya NishiiKensuke UmeharaJunko OtaYasutoshi OhtaTetsuya FukudaTakayuki Ishida
Published in: Acta radiologica (Stockholm, Sweden : 1987) (2022)
Our DLNR method supervised by 4DNR significantly reduced the image noise of CCTAs without affecting the assessment of coronary stenosis.
Keyphrases
  • deep learning
  • air pollution
  • coronary artery disease
  • coronary artery
  • machine learning
  • convolutional neural network
  • artificial intelligence
  • aortic stenosis
  • heart failure
  • atrial fibrillation