Abstract #2475

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

Khoi Minh Huynh^1,2, Wei-Tang Chang², and Pew-Thian Yap^1,2

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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