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

Yujiao ZhaoZheyuan YiLinfang XiaoVick LauYilong LiuZhe ZhangHua GuoAlex T L LeongEd X Wu
Published in: Magnetic resonance in medicine (2022)
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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