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2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

DOI: 10.1109/iembs.2008.4650072

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Advanced MR Diffusion Characterization of Neural Tissue Using Directional Diffusion Kurtosis Analysis

Journal article published in 2008 by Edward S. Hui ORCID, Matthew Mm Cheung, Liqun Qi, Ed X. Wu ORCID
This paper is available in a repository.
This paper is available in a repository.

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Abstract

30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08, Vancouver, BC, 20-25 August 2008 ; MR Diffusion kurtosis imaging (DKI) was proposed recently to study the deviation of water diffusion from Gaussian distribution. Mean kurtosis (MK), directionally averaged kurtosis, has been shown to be useful in assessing pathophysilogical changes. However, MK is not sensitive to kurtosis change occurring along a specific direction. Therefore, orthogonal transformation of the 4 th order kurtosis tensor was introduced in the current study to compute kurtoses along the 3 eigenvector directions of the 2 nd order diffusion tensor. Such axial (K ; ) and radial (K- ⊥) kurtoses measured the kurtoses along the directions parallel and perpendicular, respectively, to the principal diffusion direction. DKI experiments were performed in normal adult and formalin-fixed rat brain, and developmental brains. The results showed that directional kurtosis analysis revealed different information for tissue characterization. ; Department of Applied Mathematics ; Invited conference paper