Abstract #2032

b-Value Dependency of Diffusion Parameters Derived from the DTI and DKI Models in Postmortem Human Brain Hemispheres

Junye Yao¹, Zihan Zhou¹, Benjamin C. Tendler², Karla L. Miller², Lei Zhang³, Keqing Zhu³, Aimin Bao³, Hongjian He¹, and Jianhui Zhong^1,4

¹Center for Brain Imaging Science and Technology, College of Biomedical Engineering and Instrumental, Zhejiang University, Hangzhou, China, ²Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, London, United Kingdom, ³National Human Brain Bank for Health and Disease, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, China, ⁴Department of Imaging Sciences, University of Rochester, Rochester, NY, United States

Diffusion weighted images of formalin-fixed human brain hemispheres were used to study b-value dependence of diffusion parameters with the diffusion tensor and diffusion kurtosis model. Consistent decreases of FA with increasing b-values were observed in all hemispheres. Meanwhile, the mean kurtosis was found to increase with the discrepancy of FA between high and low b-value datasets. These results indicate that the b-value dependence of FA could be explained by non-gaussian diffusion effects consistent with tissue microstructure.

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