The impact of realistic axonal shape on axon diameter estimation using diffusion MRI
Hong-Hsi Lee, Sune N. Jespersen, Els Fieremans, Dmitry S. Novikov

TL;DR
This paper develops a theory linking axonal shape variations, such as beading and undulations, to diffusion MRI signals, revealing how these features confound accurate axon diameter estimation and proposing methods to mitigate these effects.
Contribution
The study introduces a theoretical framework connecting axonal shape irregularities to diffusion MRI metrics, validated with simulations and microscopy data, highlighting biases in diameter estimation.
Findings
Inner diameter overestimated by about twofold in narrow pulse limit due to shape variations.
Kurtosis deviates from ideal cylinder predictions because of caliber variations.
Undulations significantly affect diameter estimates in the wide pulse limit, but can be reduced by directional averaging.
Abstract
To study axonal microstructure with diffusion MRI, axons are typically modeled as straight impermeable cylinders, whereby the transverse diffusion MRI signal can be made sensitive to the cylinder's inner diameter. However, the shape of a real axon varies along the axon direction, which couples the longitudinal and transverse diffusion of the overall axon direction. Here we develop a theory of the intra-axonal diffusion MRI signal based on coarse-graining of the axonal shape by 3d diffusion. We demonstrate how the estimate of the inner diameter is confounded by the diameter variations (beading), and by the local variations in direction (undulations) along the axon. We analytically relate diffusion MRI metrics, such as time-dependent radial diffusivity D(t) and kurtosis K(t), to the axonal shape, and validate our theory using Monte Carlo simulations in synthetic undulating axons with…
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