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Title: New methods for MRI denoising based on sparseness and self-similarity. Author: Manjón JV, Coupé P, Buades A, Louis Collins D, Robles M. Journal: Med Image Anal; 2012 Jan; 16(1):18-27. PubMed ID: 21570894. 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.[Abstract] [Full Text] [Related] [New Search]