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Based on the Radon transform, a wavelet multiscale denoising method is proposed for MR images. The approach explicitly accounts for the Rician nature of MR data. Based on noise statistics we apply the Radon transform to the original MR images and use the Gaussian noise model to process the MR sinogram image. A translation invariant wavelet transform is employed to decompose the MR 'sinogram' into multiscales in order to effectively denoise the images. Based on the nature of Rician noise wedoi:10.1088/0957-0233/22/2/025803 pmid:23853425 pmcid:PMC3707516 fatcat:b2gfapizvvhbteknrcf43rcwua