Sparse dictionary-based magnetic resonance superresolution imaging with joint loss function learning

HIGHLIGHTS

• who: Huanyu Liu and colleagues from the Harbin, China have published the research work: Sparse Dictionary-Based Magnetic Resonance Superresolution Imaging with Joint Loss Function Learning, in the Journal: Journal of Healthcare Engineering of 29/08/2022
• what: This paper proposes a superresolution algorithm of MR image based on joint dictionary loss function optimization.
• how: This paper proposes an optimization algorithm of the joint dictionary loss function aiming at solving the problems of the joint dictionary. Under the condition of superresolution ratio of 1 2 the experimental results are shown in Table 3 . . .
  

   

  

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