Joint denoising of diffusion-weighted images via structured low-rank patch matrix approximation.

Magnetic resonance in medicine(2022)

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摘要
The proposed method denoises DWI dataset by utilizing both nonlocal self-similarity and local structural similarity within DWI dataset. This weighted nuclear norm minimization-based low-rank patch matrix denoising approach is effective and highly applicable to various diffusion MRI applications, including DTI as a postprocessing procedure.
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关键词
DTI,DWI,diffusion MRI,low-rank approximation,patch matrix,weighted nuclear norm minimization
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