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Abstract #1028

Resolving crossing fibers and generalizing biomarkers using the diffusion kurtosis tensor

Rafael Neto Henriques 1 , Marta Morgado Correia 1 , Rita Gouveia Nunes 2 , and Hugo Alexandre Ferreira 2

1 Cognition and Brain Science Unit, MRC, Cambridge, England, United Kingdom, 2 Instituto de Biofisica e Engenharia Biomedica, Faculdade de Ciencias da Universidade de Lisboa, Lisbon, Lisbon, Portugal

Diffusion Kurtosis Imaging (DKI) models the non-Gaussian behaviour of water diffusion by the diffusion kurtosis tensor (KT), which can be used to provide indices of tissue heterogeneity and a better characterisation of the spatial architecture of tissue microstructure. In this study, the advantages and disadvantages of using KT based fiber direction estimates to resolve crossing fibers and compute a generalized version of radial kurtosis (RK) are investigated. Our results show that KT fiber direction estimates provides smaller angular errors when compared to previous DKI fiber estimation procedures and RK measures less sensitive to noise bias.

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