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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