Abstract #3041

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

Synopsis

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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