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New methods for MRI denoising based on sparseness and self-similarity.
Abstract : 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. Both methods run in less than a minute, making them usable in most clinical and research settings.
https://www.hal.inserm.fr/inserm-00601866
Contributor : Pierrick Coupé <>
Submitted on : Monday, June 20, 2011 - 11:46:34 PM
Last modification on : Friday, March 27, 2020 - 2:32:00 AM
Document(s) archivé(s) le : Wednesday, September 21, 2011 - 2:26:56 AM
Contributor : Pierrick Coupé <>
Submitted on : Monday, June 20, 2011 - 11:46:34 PM
Last modification on : Friday, March 27, 2020 - 2:32:00 AM
Document(s) archivé(s) le : Wednesday, September 21, 2011 - 2:26:56 AM
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