Denoise diffusion-weighted images using higher-order singular value decomposition
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DOI: 10.1016/j.neuroimage.2017.04.017
Abstract: &NA; Noise usually affects the reliability of quantitative analysis in diffusion‐weighted (DW) magnetic resonance imaging (MRI), especially at high b‐values and/or high spatial resolution. Higher‐order singular value decomposition (HOSVD) has recently emerged as a simple,… read more here.
Keywords: diffusion; hosvd; patch; order singular ... See more keywords