Non-local low rank denoising method for complex-valued DWI
Xinyu Ye1, Xiaodong Ma2, Ziyi Pan1, Steen Moller2, Eddie Auerbach2, Kamil Ugurbil2, Xiaoping Wu2, and Hua Guo1
1Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, 2Center for Magnetic Resonance Research, Radiology, Medical School, University of Minnesota, Minneapolis, MN, United States
Diffusion-weighted MRI (DWI) suffers from the intrinsic low SNR, especially for high-resolution and/or high b-value acquisitions. Thus, denoising methods are critical for diffusion images. Recently, increasing attention has been paid to complex DWI image denoising. Here, we propose a 2-step non-local low-rank joint denoising method to process complex-valued DWI images. Simulation data and in-vivo brain data were used to test the proposed method. The results showed that the proposed method may further improve the image quality.
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