Abstract #2602
A fast and robust method for simultaneous estimation of mean diffusivity and mean tensor kurtosis
Brian Hansen 1 , Torben E. Lund 1 , Ryan Sangill 1 , and Sune N. Jespersen 1,2
1
CFIN/MindLab, Aarhus University, Aarhus,
Denmark,
2
Dept.
of Physics and Astronomy, Aarhus University, Denmark
Diffusion kurtosis imaging (DKI) is a popular extension
of diffusion tensor imaging accounting for non-gaussian
aspects of diffusion in biological tissue. Several
studies have indicated enhanced sensitivity of mean
kurtosis (MK) to pathology, including stroke. Recently,
we proposed a fast acquisition and postprocessing scheme
based on a linear combination of only 13 diffusion
weighted images for estimation of the mean tensor
kurtosis. Here we extend this scheme by incorporating
exact estimation of the mean diffusivity and show that
this produces an improved estimate of mean tensor
kurtosis across large brain regions. Our extension also
permits acquisition b-values to be optimized numerically
and the experimental uncertainty and precision to be
mapped.
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