New methods for MRI denoising based on sparseness and self-similarity

  title={New methods for MRI denoising based on sparseness and self-similarity},
  author={Jos{\'e} V. Manj{\'o}n and Pierrick Coup{\'e} and Antonio Buades and D. Louis Collins and Montserrat Robles},
  journal={Medical image analysis},
  volume={16 1},
This paper proposes two new methods for the three-dimensional denoising of magnetic resonance images that exploit the sparseness and self-similarity properties of the images. The proposed methods are based on a three-dimensional moving-window discrete cosine transform hard thresholding and a three-dimensional rotationally invariant version of the well-known nonlocal means filter. The proposed approaches were compared with related state-of-the-art methods and produced very competitive results… CONTINUE READING
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sub-bands mixing for image denoising

  • P. Coupé, J. V. Manjon, E. Gedamu, D. Arnold, M. Robles, D. L. Collins
  • Int. J. Biomed. Imaging, Article ID: 590183
  • 2010
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Non - local means denoising algorithm accelerated by GPU

  • C. Kervrann, J. Boulanger, P Coupé
  • Proc . Soc . of Photo - Optical Instrumentation…
  • 2009

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