Relevance of time-dependence for clinically viable diffusion imaging of the spinal cord

Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine
Francesco GrussuClaudia A M Gandini Wheeler-Kingshott

Abstract

Time-dependence is a key feature of the diffusion-weighted (DW) signal, knowledge of which informs biophysical modelling. Here, we study time-dependence in the human spinal cord, as its axonal structure is specific and different from the brain. We run Monte Carlo simulations using a synthetic model of spinal cord white matter (WM) (large axons), and of brain WM (smaller axons). Furthermore, we study clinically feasible multi-shell DW scans of the cervical spinal cord (b = 0; b = 711 s mm-2 ; b = 2855 s mm-2 ), obtained using three diffusion times (Δ of 29, 52 and 76 ms) from three volunteers. Both intra-/extra-axonal perpendicular diffusivities and kurtosis excess show time-dependence in our synthetic spinal cord model. This time-dependence is reflected mostly in the intra-axonal perpendicular DW signal, which also exhibits strong decay, unlike our brain model. Time-dependence of the total DW signal appears detectable in the presence of noise in our synthetic spinal cord model, but not in the brain. In WM in vivo, we observe time-dependent macroscopic and microscopic diffusivities and diffusion kurtosis, NODDI and two-compartment SMT metrics. Accounting for large axon calibers improves fitting of multi-compartment models to a m...Continue Reading

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Citations

Oct 20, 2018·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·Anita KarsaKarin Shmueli
Nov 5, 2019·Multiple Sclerosis : Clinical and Laboratory Research·Sara ColloroneOlga Ciccarelli
May 2, 2020·AJNR. American Journal of Neuroradiology·D A LakhaniF Bagnato
Dec 11, 2020·NeuroImage·Kevin D HarkinsMark D Does
May 4, 2020·NeuroImage·Francesco GrussuClaudia A M Gandini Wheeler-Kingshott
Aug 18, 2021·Nature Protocols·Julien Cohen-AdadJunqian Xu

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Software Mentioned

Matlab
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