ArticleMagnetic resonance in medicine2024
Pore size estimation in axon-mimicking microfibers with diffusion-relaxation MRI.
Article in Magnetic resonance in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- The microstructure-weighted human connectome: network properties and structure-function correlations across spatial scales.bioRxiv : the preprint server for biology · 2026Article
- Multi-dimensional diffusion MRI at ultra-high gradient strength for mapping axonal architecture and microstructure in the primate brain.bioRxiv : the preprint server for biology · 2026Article
- In vivo cortical microstructure mapping using high-gradient diffusion MRI accounting for intercompartmental water exchange effects.NeuroImage · 2025Article
- White matter microstructure of language pathways in non-verbal autism: insights from diffusion tensor imaging and myelin water imaging.Frontiers in human neuroscience · 2025Article
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Authors and funding
8 authors.
Funding
Abstract
purposeThis study aims to evaluate two distinct approaches for fiber radius estimation using diffusion-relaxation MRI data acquired in biomimetic microfiber phantoms that mimic hollow axons. The methods considered are the spherical mean power-law approach and a T THEORY AND
methodsA general diffusion-relaxation theoretical model for the spherical mean signal from water molecules within a distribution of cylinders with varying radii was introduced, encompassing the evaluated models as particular cases. Additionally, a new numerical approach was presented for estimating effective radii (i.e., MRI-visible mean radii) from the ground truth radii distributions, not reliant on previous theoretical approximations and adaptable to various acquisition sequences. The ground truth radii were obtained from scanning electron microscope images.
resultsBoth methods show a linear relationship between effective radii estimated from MRI data and ground-truth radii distributions, although some discrepancies were observed. The spherical mean power-law method overestimated fiber radii. Conversely, the T
conclusionThe study demonstrates the feasibility of both techniques to predict pore sizes of hollow microfibers. The T
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