Login / Signup

Visualization of the distortion induced by nonlinear noise reduction in computed tomography.

Joel LarssonMagnus BåthAnne Thilander-Klang
Published in: Journal of medical imaging (Bellingham, Wash.) (2023)
The developed images visualize nonlinear distortions of denoising algorithms. The object may be distorted by the noise and vice versa. Analyzing the distortion correlated to the object is more critical than analyzing a distortion of stochastic variations. The absence of nonlinear distortion may measure the robustness of the denoising algorithm.
Keyphrases
  • deep learning
  • convolutional neural network
  • computed tomography
  • machine learning
  • working memory
  • air pollution
  • magnetic resonance imaging
  • positron emission tomography
  • magnetic resonance