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Technical note: Minimizing CIED artifacts on a 0.35 T MRI-Linac using deep learning.

Austen N CurcuruDeshan YangHongyu AnPhillip S CuculichClifford G RobinsonH Michael Gach
Published in: Journal of applied clinical medical physics (2024)
CycleGAN-generated reconstructions significantly improved both tracking and image quality metrics when used to mitigate artifacts from ICDs.
Keyphrases
  • image quality
  • deep learning
  • computed tomography
  • contrast enhanced
  • magnetic resonance imaging
  • dual energy
  • artificial intelligence
  • convolutional neural network
  • magnetic resonance