Abstract #4201
Tissue and Vascular Contributions to Diffusion fMRI in Rat Inferior Colliculus Using Quadratic Exponential Kurtosis Model
Leon C. Ho 1,2 , Peng Cao 1,2 , Jevin W Zhang 1,2 , Kevin C. Chan 3,4 , and Ed X. Wu 1,2
1
Laboratory of Biomedical Imaging and Signal
Processing, The University of Hong Kong, Pokfulam, Hong
Kong, China,
2
Department
of Electrical and Electronic Engineering, The University
of Hong Kong, Pokfulam, Hong Kong, China,
3
Neuroimaging
Laboratory, Department of Radiology, University of
Pittsburgh, Pittsburgh, Pennsylvania, United States,
4
Department
of Ophthalmology, University of Pittsburgh, Pittsburgh,
Pennsylvania, United States
Under functional activation, both tissue and vasculature
undergo physiological changes (such as cell swelling and
vessel dilation). Non-diffusion-weighted BOLD and
diffusion-weighted BOLD have been reported to reflect
different tissue/vascular contribution when the strength
of diffusion attenuation (b-value) is alternated.
Different b-values signal fittings and kurtosis models
are presented in this study to evaluate non-Gaussian
distribution of diffusion displacement in brain tissue
during activation. Kurtosis increased and was mainly
contributed by the increase in blood flow during
activation as indicated by the initial fast decay of
diffusion signal.
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