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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