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No-reference image quality assessment of magnetic resonance images with high-boost filtering and local features.

Mariusz OszustAdam PiorkowskiRafał Obuchowicz
Published in: Magnetic resonance in medicine (2020)
It is demonstrated that the presented NR-IQA method for the assessment of MR images is superior to the state-of-the-art NR techniques. The method would be beneficial for a wide range of image processing applications, assessing their outputs and affecting the directions of their development.
Keyphrases
  • magnetic resonance
  • deep learning
  • image quality
  • convolutional neural network
  • optical coherence tomography
  • computed tomography
  • contrast enhanced
  • magnetic resonance imaging
  • machine learning