Jung, W;
Lee, J;
Shin, H-G;
Nam, Y;
Zhang, H;
Oh, S-H;
Lee, J;
(2018)
Whole brain g-ratio mapping using myelin water imaging (MWI) and neurite orientation dispersion and density imaging (NODDI).
NeuroImage
, 182
pp. 379-388.
10.1016/j.neuroimage.2017.09.053.
Preview |
Text
NIMG-17-932.pdf - Accepted Version Download (1MB) | Preview |
Abstract
MR g-ratio, which measures the ratio of the aggregate volume of axons to that of fibers in a voxel, is a potential biomarker for white matter microstructures. In this study, a new approach for acquiring an in-vivo whole human brain g-ratio map is proposed. To estimate the g-ratio, myelin volume fraction and axonal volume fraction are acquired using multi-echo gradient echo myelin water imaging (GRE-MWI) and neurite orientation dispersion and density imaging (NODDI), respectively. In order to translate myelin water fraction measured in GRE-MWI into myelin volume fraction, a new scaling procedure is proposed and validated. This scaling approach utilizes geometric measures of myelin structure and, therefore, provides robustness over previous methods. The resulting g-ratio map reveals an expected range of g-ratios (0.71–0.85 in major fiber bundles) with a small inter-subject coefficient of variance (less than 2%). Additionally, a few fiber bundles (e.g. cortico-spinal tract and optic radiation) show different constituents of myelin volume fraction and axonal volume fraction, indicating potentials to utilize the measures for deciphering fiber tracking.
Type: | Article |
---|---|
Title: | Whole brain g-ratio mapping using myelin water imaging (MWI) and neurite orientation dispersion and density imaging (NODDI) |
Location: | Montreal, CANADA |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.neuroimage.2017.09.053 |
Publisher version: | https://doi.org/10.1016/j.neuroimage.2017.09.053 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Myelin, Gradient-echo myelin water imaging (GRE-MWI), g-ratio, MRI, Diffusion, White matter microstructure |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10066266 |
Archive Staff Only
View Item |