Multi‐compartmental diffusion characterization of the human cervical spinal cord in vivo using the spherical mean technique. (1st February 2018)
- Record Type:
- Journal Article
- Title:
- Multi‐compartmental diffusion characterization of the human cervical spinal cord in vivo using the spherical mean technique. (1st February 2018)
- Main Title:
- Multi‐compartmental diffusion characterization of the human cervical spinal cord in vivo using the spherical mean technique
- Authors:
- By, Samantha
Xu, Junzhong
Box, Bailey A.
Bagnato, Francesca R.
Smith, Seth A. - Abstract:
- Abstract : The purpose of this work was to evaluate the feasibility and reproducibility of the spherical mean technique (SMT), a multi‐compartmental diffusion model, in the spinal cord of healthy controls, and to assess its ability to improve spinal cord characterization in multiple sclerosis (MS) patients at 3 T. SMT was applied in the cervical spinal cord of eight controls and six relapsing‐remitting MS patients. SMT provides an elegant framework to model the apparent axonal volume fraction v ax, intrinsic diffusivity D ax, and extra‐axonal transverse diffusivity D ex_perp (which is estimated as a function of v ax and D ax ) without confounds related to complex fiber orientation distribution that reside in diffusion MRI modeling. SMT's reproducibility was assessed with two different scans within a month, and SMT‐derived indices in healthy and MS cohorts were compared. The influence of acquisition scheme on SMT was also evaluated. SMT's v ax, D ax, and D ex_perp measurements all showed high reproducibility. A decrease in v ax was observed at the site of lesions and normal appearing white matter ( p < 0.05), and trends towards a decreased D ax and increased D ex_perp were seen. Importantly, a twofold reduction in acquisition yielded similarly high accuracy with SMT. SMT provides a fast, reproducible, and accurate method to improve characterization of the cervical spinal cord, and may have clinical potential for MS patients. Abstract : The spherical mean technique, aAbstract : The purpose of this work was to evaluate the feasibility and reproducibility of the spherical mean technique (SMT), a multi‐compartmental diffusion model, in the spinal cord of healthy controls, and to assess its ability to improve spinal cord characterization in multiple sclerosis (MS) patients at 3 T. SMT was applied in the cervical spinal cord of eight controls and six relapsing‐remitting MS patients. SMT provides an elegant framework to model the apparent axonal volume fraction v ax, intrinsic diffusivity D ax, and extra‐axonal transverse diffusivity D ex_perp (which is estimated as a function of v ax and D ax ) without confounds related to complex fiber orientation distribution that reside in diffusion MRI modeling. SMT's reproducibility was assessed with two different scans within a month, and SMT‐derived indices in healthy and MS cohorts were compared. The influence of acquisition scheme on SMT was also evaluated. SMT's v ax, D ax, and D ex_perp measurements all showed high reproducibility. A decrease in v ax was observed at the site of lesions and normal appearing white matter ( p < 0.05), and trends towards a decreased D ax and increased D ex_perp were seen. Importantly, a twofold reduction in acquisition yielded similarly high accuracy with SMT. SMT provides a fast, reproducible, and accurate method to improve characterization of the cervical spinal cord, and may have clinical potential for MS patients. Abstract : The spherical mean technique, a multi‐compartmental diffusion model, provides measures of axonal volume fractions ( v ax ), intrinsic diffusivity ( D ax ), and transverse extra‐axonal diffusivity ( D ex_perp ). All measurements yield high reproducibility in the spinal cord of healthy controls. In the spinal cord of patients with multiple sclerosis (MS), a decreased v ax, decreased D ax, and increased D ex_perp are observed. Furthermore, SMT is robust despite significant decreases in scan time, capable of providing accurate estimation of tissue parameters in half the scan time. … (more)
- Is Part Of:
- NMR in biomedicine. Volume 31:Number 4(2018)
- Journal:
- NMR in biomedicine
- Issue:
- Volume 31:Number 4(2018)
- Issue Display:
- Volume 31, Issue 4 (2018)
- Year:
- 2018
- Volume:
- 31
- Issue:
- 4
- Issue Sort Value:
- 2018-0031-0004-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2018-02-01
- Subjects:
- axon -- diffusion -- multiple sclerosis -- spherical mean technique -- spinal cord -- volume fraction
Nuclear magnetic resonance -- Periodicals
Magnetic Resonance Spectroscopy -- Periodicals
574 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/nbm.3894 ↗
- Languages:
- English
- ISSNs:
- 0952-3480
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6113.931000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 6086.xml