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Abstract #3097

Investigating the performance of Diffusional Kurtosis Imaging for group-wise analyses: A study from the Human Connectome Project

Hamed Y. Mesri1, Szabolcs David1, Max A. Viergever1, and Alexander A. Leemans1

1Image Sciences Institute, University Medical Center Utrecht and Utrecht University, Utrecht, Netherlands

Diffusional Kurtosis Imaging (DKI) is an extension to Diffusion Tensor Imaging (DTI), which allows the quantification of non-Gaussian water diffusion and the quantification of parameters related to microstructural changes. In this work, we used high-quality datasets from the Human Connectome Project and non-parametric statistical inference to evaluate the performance of the DKI measures for group-wise studies. To this end, we used the gender information to group the subjects and study the differences. Our results demonstrated that DKI metrics could reveal the differences more accurately compared to DTI metrics.

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