Abstract #3016

The importance of b-values selection and the precision of diffusion kurtosis estimation by the conventional schemes

Andrey Chuhutin¹, Noam Shemesh², Brian Hansen¹, and Sune Nørhøj Jespersen^1,3

¹CFIN, Aarhus University, Aarhus, Denmark, ²Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, Portugal, ³Department of Physics and Astronomy, Aarhus University, Aarhus, Denmark

In DKI imaging studies, a wide range of different gradient strengths is used, which is known to affect the estimated kurtosis. Being driven by a need to assess the validity of the DKI expression and the accuracy of the estimated parameters as a function of b-value we both evaluated the variability of the kurtosis parameter for the in vivo and ex vivo data for different fitting techniques and studied the error in a mean kurtosis parameter with respect to the ground truth. The results and conclusions suggest circumspection while preferring a specific technique.

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