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Proton range uncertainty caused by synthetic computed tomography generated with deep learning from pelvic magnetic resonance imaging.

Liheng TianArmin Lühr
Published in: Acta oncologica (Stockholm, Sweden) (2023)
The sCT model was shown to be robust, i.e., had a low random model error. However, further investigation to reduce and even predict and manage systematic error is still needed for future MRI-only proton therapy.
Keyphrases
  • magnetic resonance imaging
  • computed tomography
  • contrast enhanced
  • deep learning
  • positron emission tomography
  • rectal cancer
  • artificial intelligence
  • diffusion weighted imaging
  • convolutional neural network