A robust framework for characterising diffusion metrics of the median and ulnar nerves: Exploiting state-of-the-art tracking methods.
diffusion magnetic resonance imaging
median nerve
peripheral nerve imaging
track-weighted imaging
ulnar nerve
Journal
Journal of the peripheral nervous system : JPNS
ISSN: 1529-8027
Titre abrégé: J Peripher Nerv Syst
Pays: United States
ID NLM: 9704532
Informations de publication
Date de publication:
03 2022
03 2022
Historique:
revised:
10
11
2021
received:
05
02
2021
accepted:
11
12
2021
pubmed:
16
12
2021
medline:
28
4
2022
entrez:
15
12
2021
Statut:
ppublish
Résumé
Diffusion-weighted imaging has been used to quantify peripheral nerve properties; however, traditional post-processing techniques have several limitations. Advanced neuroimaging techniques, which overcome many of these limitations, have not been applied to peripheral nerves. Here, we use state-of-the-art diffusion analysis tools to reconstruct the median and ulnar nerves and quantify their diffusion properties. Diffusion-weighted MRI scans were obtained from eight healthy adult subjects. Constrained spherical deconvolution was combined with probabilistic fibre tracking to compute track-weighted fibre orientation distribution (TW-FOD). The tensor was computed and used along with the tracks to estimate TW apparent diffusion coefficient (TW-ADC), TW fractional anisotropy (TW-FA), TW axial diffusivity (TW-AD), and TW radial diffusivity (TW-RD). Variability of TW measurements was used to estimate power size information. The population intersession mean (± SD) measurements for the median nerve were TW-FOD 1.30 (±0.17), TW-ADC 1.16 (±0.13) × 10
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
67-83Informations de copyright
© 2021 Peripheral Nerve Society.
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