Diffusion time dependence of microstructural parameters in fixed spinal cord
Sune N{\o}rh{\o}j Jespersen, Jonas Lynge Olesen, Brian Hansen, Noam, Shemesh

TL;DR
This study develops a biophysical diffusion MRI model for spinal cord white matter that includes axonal dispersion, enabling stable parameter estimation over various diffusion times and providing insights into intra- and extra-axonal diffusivities.
Contribution
It introduces a model incorporating axonal dispersion and demonstrates stable parameter estimation from DKI data across multiple diffusion times.
Findings
All model parameters show time dependence except volume fractions.
Intra-axonal diffusivity is likely larger than extra-axonal diffusivity.
Diffusion time dependence supports predictions from effective medium theory.
Abstract
Biophysical modelling of diffusion MRI is necessary to provide specific microstructural tissue properties. However, estimating model parameters from data with limited diffusion gradient strength, such as clinical scanners, has proven unreliable due to a shallow optimization landscape. On the other hand, estimation of diffusion kurtosis (DKI) parameters is more robust as the clinical acquisitions typically probe a regime in which the associated 4th order cumulant expansion is adequate; however, its parameters are not microstructurally specific a priori. Given an appropriate biophysical model, its parameters may be connected to DKI parameters, but it was previously shown that at the DKI level, it still does not provide sufficient information to uniquely determine all model parameters. Earlier work has shown that by neglecting axonal dispersion, this parameter degeneracy reduces to the…
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