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Abstract #3043

Estimation of neurite density from an isotropic diffusion model

Brian Hansen 1 , Torben E. Lund 1 , Ryan Sangill 1 , and Sune N. Jespersen 1,2

1 Center for Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark, 2 Department of Physics and Astronomy, Aarhus University, Aarhus, Denmark

Neuritic density is tightly coupled to normal brain function and its modulation is a central structural part of experience-dependent remodeling of the brain. This plasticity has many facets that do not readily yield themselves to scrutiny in vivo. However, when combined with modeling the diffusion weighted MR signal can be used to investigate brain cytoarchitecture. One such method is NODDI. Here we present and evaluate an alternative strategy aimed at mapping neurite density in vivo. We demonstrate agreement between ground truth values and fast estimate of neurite density in fixed rat brain and discuss preliminary results in human brain.

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