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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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