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Abstract #4525

Diffusion Kurtosis Imaging based Tractography

Rafael Neto Henriques 1,2 , Luis Lacerda 2,3 , Rita Nunes 2 , Marta Morgado Correia 1 , and Hugo Alexandre Ferreira 2

1 Cognition and Brain Science Unit, Medical Research Council, Cambridge, United Kingdom, 2 Institute of Biophysics and Biomedical Engineering, Faculty of Sciences of the University of Lisbon, Lisbon, Portugal, 3 Centre for Neuroimaging Sciences, Institute of Psychiatry, King's College London, London, United Kingdom

Diffusion kurtosis Imaging (DKI) is an extension of diffusion tensor imaging. In addition to the diffusion tensor, DKI estimates a diffusion kurtosis tensor which provides an indirect measure of tissue heterogeneity. Moreover, previous studies show that the diffusion kurtosis tensor can help resolve crossing fibres. Thus, DKI-based tractography algorithms can be advantageous for visualization of crossing white matter pathways in clinical applications since they require less data and hence shorter scanning times relative to HARDI methods. Here, two tractography algorithms based on DKI are evaluated, one of which is shown to be able to resolve fibers crossing up to 45.

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