Simple noise reduction for DWI
コニシ, ユウト School of Health Sciences, Tokushima University
金澤, 裕樹 Institute of Biomedical Sciences, Tokushima University Graduate School 徳島大学 教育研究者総覧 KAKEN研究者をさがす
ウスダ, タカトシ School of Health Sciences, Tokushima University
マツダ, ツヨシ MR Applications and Workflow Asia Pacific GE Healthcare Japan Corporation
上野, 淳二 Institute of Biomedical Sciences, Tokushima University Graduate School 徳島大学 教育研究者総覧 KAKEN研究者をさがす
Magnetic resonance imaging (MRI)
Diffusion weighted imaging
Probability distribution function (PDF)
Our purpose in this study was to reduce the noise in order to improve the SNR of Dw images with high b-value by using two correction schemes. This study was performed with use of phantoms made from water and sucrose at different concentrations, which were 10, 30, and 50 weight percent (wt%). In noise reduction for Dw imaging of the phantoms, we compared two correction schemes that are based on the Rician distribution and the Gaussian distribution. The highest error values for each concentration with use of the Rician distribution scheme were 7.3 % for 10 wt%, 2.4 % for 30 wt%, and 0.1 % for 50 wt%. The highest error values for each concentration with use of the Gaussian distribution scheme were 20.3 % for 10 wt%, 11.6 % for 30 wt%, and 3.4 % for 50 wt%. In Dw imaging, the noise reduction makes it possible to apply the correction scheme of Rician distribution.
Radiological Physics and Technology
Copyright © Japanese Society of Radiological Technology and Japan Society of Medical Physics 2016
The final publication is available at Springer via http://dx.doi.org/10.1007/s12194-016-0350-9.
rpt_9_2_221.pdf 1.11 MB