Can T1w/T2w ratio be used as a myelin‐specific measure in subcortical structures? Comparisons between FSE‐based T1w/T2w ratios, GRASE‐based T1w/T2w ratios and multi‐echo GRASE‐based myelin water fractions
Abstract
Given the growing popularity of T 1 -weighted/T 2 -weighted (T 1 w/T 2 w) ratio measurements, the objective of the current study was to evaluate the concordance between T 1 w/T 2 w ratios obtained using conventional fast spin echo (FSE) versus combined gradient and spin echo (GRASE) sequences for T 2 w image acquisition, and to compare the resulting T 1 w/T 2 w ratios with histologically validated myelin water fraction (MWF) measurements in several subcortical brain structures. In order to compare these measurements across a relatively wide range of myelin concentrations, whole-brain T 1 w magnetization prepared rapid acquisition gradient echo (MPRAGE), T 2 w FSE and three-dimensional multi-echo GRASE data were acquired from 10 participants with multiple sclerosis at 3 T. Then, after high-dimensional, non-linear warping, region of interest (ROI) analyses were performed to compare T 1 w/T 2 w ratios and MWF estimates (across participants and brain regions) in 11 bilateral white matter (WM) and four bilateral subcortical grey matter (SGM) structures extracted from the JHU_MNI_SS 'Eve' atlas. Although the GRASE sequence systematically underestimated T 1 w/T 2 w values compared to the FSE sequence (revealed by Bland-Altman and mountain plots), linear regressions across participants and ROIs revealed consistently high correlations between the two methods (r 2 = 0.62 for all ROIs, r 2 = 0.62 for WM structures and r 2 = 0.73 for SGM structures). However, correlations between either…
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Other quantitative MRI techniques such as calibrated T1w/T2w ratio mapping, inhomogeneous magnetization transfer (ihMT) imaging, and T2 relaxation-based myelin water imaging (MWI) are likely less affected by fiber orientation.
“other quantitative MRI techniques such as calibrated T1w/T2w ratio mapping (Ganzetti et al., 2014; Uddin et al., 2018), inhomogeneous magnetization transfer (ihMT) imaging (Manning et al., 2017; Swanson et al., 2017), and T2 relaxation-based myelin water imaging MWI (Prasloski et al., 2012; Lee et al., 2018) are likely less affected by fiber orientation”
From Potential Pitfalls of Using Fractional Anisotropy, Axial Diffusivity, and Radial Diffusivity as Biomarkers of Cerebral White Matter Microstructure (2022) · cites this paper as Uddin et al., 2018
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Diffusion tensor imaging (DTI)-based white matter mapping in brain research: a review
Assaf, Y., & Pasternak, O. (2008) · Journal of Molecular Neuroscience · doi:10.1007/s12031-007-0029-0 · Cited by 1,537 · see citing works
MRI in multiple sclerosis: current status and future prospects
Bakshi, R., Thompson, A. J., Rocca, M. A., Pelletier, D., Dousset, V., Barkhof, F., Inglese, M., Guttmann, C. R., Horsfield, M. A., & Filippi, M. (2008) · The Lancet Neurology · doi:10.1016/s1474-4422(08)70137-6 · Cited by 348 · see citing works
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Figley, C. R., Uddin, M. N., Wong, K., Kornelsen, J., Puig, J., & Figley, T. D. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.799576 · Cited by 253 · see citing works
“Beyond dMRI approaches, other quantitative MRI techniques such as calibrated T1w/T2w ratio mapping (Ganzetti et al., 2014; Uddin et al., 2018), inhomogeneous magnetization transfer (ihMT) imaging (Manning et al., 2017; Swanson et al., 2017), and T2 relaxation-based myelin water imaging MWI…”
MethodSelf-citationOperto, G., Molinuevo, J. L., Cacciaglia, R., Falcon, C., Brugulat-Serrat, A., Suárez-Calvet, M., Grau-Rivera, O., Bargalló, N., Morán, S., Esteller, M., et al. (2019) · NeuroImage: Clinical · doi:10.1016/j.nicl.2019.101983 · Cited by 40 · see citing works
- Authors
- Uddin, M. N., Figley, T. D., Marrie, R. A., Figley, C. R., & for the CCOMS Study Group
- Affiliations
- Health Sciences Centre (CA)
- University of Manitoba (CA)
- Dalhousie University (CA)
- Corresponding author
- Figley, Chase R.
- Venue
- NMR in Biomedicine
- Publisher
- Wiley
- Published
- 2018-01-09
- Volume
- 31
- Issue
- 3
- ISSN
- 0952-3480 (ISSN-L)
- 1099-1492
- OpenAlex
- W2783800543
- Cited by
- 84
- References
- 2
- Citations by year
- 2026: 10 · 2025: 5 · 2024: 5 · 2023: 14 · 2022: 16 · 2021: 6 · 2020: 12 · 2019: 12 · 2018: 4
- FWCI
- 5.87
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NMR in Biomedicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Canadian Institutes of Health Research (THC‐135234)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Pathology and Forensic Medicine › Multiple Sclerosis Research Studies
- Keywords
- T1w/T2w ratio, myelin water fraction, subcortical gray matter, white matter, fast spin echo, GRASE, MPRAGE, multiple sclerosis, myelin quantification, MRI sequence comparison, subcortical structures, histopathological confirmation, brain MRI biomarkers, T2-weighted imaging
- MeSH terms
- Adult, Aged, Aged, 80 and over, Cerebral Cortex, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Myelin Sheath, Spin Labels, Water, Linear Models, Young Adult
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