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Conversion of single-energy CT to parametric maps of dual-energy CT using convolutional neural network.

Sangwook KimJimin LeeJungye KimBitbyeol KimChang Heon ChoiSeongmoon Jung
Published in: The British journal of radiology (2024)
DL framework enables converting SECT to various high-quality parametric maps of DECT.
Keyphrases
  • dual energy
  • convolutional neural network
  • computed tomography
  • image quality
  • deep learning
  • contrast enhanced
  • positron emission tomography
  • magnetic resonance imaging