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Abstract #2475

Reducing Noise in Complex-Valued Multi-Channel Diffusion-Weighted Data via Optimal Shrinkage of Singular Values

Khoi Minh Huynh1,2, Wei-Tang Chang2, and Pew-Thian Yap1,2
1Biomedical Engineering, UNC Chapel Hill, Chapel Hill, NC, United States, 2Department of Radiology and Biomedical Research Imaging Center (BRIC), UNC Chapel Hill, Chapel Hill, NC, United States

We evaluated the effectiveness of optimal-shrinkage singular value decomposition (OS-SVD) in denoising multi-channel complex-valued diffusion MRI data prior to image reconstruction and show that it outperforms other state-of-the-art denoising methods.

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