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Abstract #3011

Robust estimation of IVIM metrics in human liver using Rician noise filter

Zhongping Zhang 1 , Bing Wu 1 , Jin Wang 2 , and Zhenyu Zhou 1

1 GE Healthcare China, Beijing, Beijing, China, 2 Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China

IVIM has been widely used in seperating diffusion and perfusion process of human liver. However, the perfusion-related IVIM parameters (D* and f) suffers a large calculation bias due to the existence of Rician noise in diffusion-weighted images. In this study, diffusion-weighted images were denoised with a Rician nonlocal means filter prior to IVIM quantification. The Rician noise level was greatly reduced and the SNR was improved. The Chi2 value significantly decreased after the Rician denoising, which suggests improvement of IVIM calculation. The accuracy of IVIM metrics may be improved by denoising diffusion weighted images with a Rician noise filter.

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