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Dose reduction potential of vendor-agnostic deep learning model in comparison with deep learning-based image reconstruction algorithm on CT: a phantom study.

Hyunsu ChoiWon ChangJong Hyo KimChulkyun AhnHeejin LeeHae Young KimJungheum ChoYoon Jin LeeYoung Hoon Kim
Published in: European radiology (2021)
• DRP of the vendor-agnostic model was comparable to that of high-strength vendor-specific model and superior to those of medium- and low-strength models. • Under various radiation dose levels, the deep learning model shows higher detectability indexes compared to FBP.
Keyphrases
  • deep learning
  • artificial intelligence
  • convolutional neural network
  • machine learning
  • computed tomography
  • magnetic resonance imaging
  • image quality
  • risk assessment
  • climate change
  • human health