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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