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A mixed-order nonlinear diffusion compressed sensing MR image reconstruction.

Ajin JoyJoseph Suresh Paul
Published in: Magnetic resonance in medicine (2018)
Because nonlinear diffusion is known to be an effective alternative to TV for edge-preserving reconstruction, the crucial aspect of staircase artifact removal is addressed. Reconstruction is found to be stable for the experimentally determined range of fourth-order regularization parameter, and therefore not does not introduce a parameter search. Hence, the computational simplicity of second-order diffusion is retained.
Keyphrases
  • deep learning
  • magnetic resonance
  • magnetic resonance imaging
  • computed tomography
  • machine learning
  • dual energy