Keywords: White Matter, CEST & MT, inhomogeneous Magnetization Transfer, ihMT, myelin water fraction, MWF, magnetization transfer, MT, fibre direction, orientation dependence, diffusion tensor imaging (DTI), myelin
We measured MTR, ihMTR, MWF and fibre orientation from DTI in 17 white matter regions in 17 healthy adults at 3 T. All three metrics showed an apparent orientation dependence: MWF and ihMTR were lower in fibres perpendicular to B0 by 6% and 1% respectively compared to those parallel, while MTR was lower by 0.5% at ~40°, with the highest values in fibres perpendicular to B0. However, separating the apparent orientation dependence by region revealed large variation in the trends, suggesting that real differences in myelination and other microstructural properties are confounding the apparent orientation dependence measured using this method.1. Varma, G., Duhamel, G., de Bazelaire, C. & Alsop, D. C. Magnetization Transfer from Inhomogeneously Broadened Lines: A Potential Marker for Myelin. Magn. Reson. Med. 73, 614–622 (2015).
2. Girard, O. M. et al. Magnetization transfer from inhomogeneously broadened lines (ihMT): Experimental optimization of saturation parameters for human brain imaging at 1.5 Tesla. Magn. Reson. Med. 73, 2111–2121 (2015).
3. Zhang, L. et al. A comparison study of inhomogeneous magnetization transfer (ihMT) and magnetization transfer (MT) in multiple sclerosis based on whole brain acquisition at 3.0 T. Magn. Reson. Imaging 70, 43–49 (2020).
4. Manning, A. P., Chang, K. L., MacKay, A. L. & Michal, C. A. The physical mechanism of ‘inhomogeneous’ magnetization transfer MRI. J. Magn. Reson. 274, 125–136 (2017).
5. Mackay, A. et al. In vivo visualization of myelin water in brain by magnetic resonance. Magn. Reson. Med. 31, 673–677 (1994).
6. Ercan, E. et al. Microstructural correlates of 3D steady-state inhomogeneous magnetization transfer (ihMT) in the human brain white matter assessed by myelin water imaging and diffusion tensor imaging. Magn. Reson. Med. 80, 2402–2414 (2018).
7. Geeraert, B. L. et al. A comparison of inhomogeneous magnetization transfer, myelin volume fraction, and diffusion tensor imaging measures in healthy children. NeuroImage 182, 343–350 (2018).
8. Morris, S. R., Frederick, R., MacKay, A. L., Laule, C. & Michal, C. A. Orientation dependence of inhomogeneous magnetization transfer and dipolar order relaxation rate in phospholipid bilayers. J. Magn. Reson. 338, 107205 (2022).
9. Birkl, C., Doucette, J., Fan, M., Hernández-Torres, E. & Rauscher, A. Myelin water imaging depends on white matter fiber orientation in the human brain. Magn. Reson. Med. 85, 2221–2231 (2021).
10. Alderson, H. E. & Does, M. D. Orientation Dependence of Myelin Water Fraction as Measured by MET2. in Proc. Intl. Soc. Mag. Reson. Med. 30 (2022).
11. Prasloski, T., Mädler, B., Xiang, Q.-S., MacKay, A. & Jones, C. Applications of stimulated echo correction to multicomponent T2 analysis. Magn. Reson. Med. 67, 1803–1814 (2012).
12. Whittall, K. P. & MacKay, A. L. Quantitative interpretation of NMR relaxation data. J. Magn. Reson. 1969 84, 134–152 (1989).
13. Andersson, J. L. R. & Sotiropoulos, S. N. An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging. NeuroImage 125, 1063–1078 (2016).
14. Andersson, J. L. R., Graham, M. S., Zsoldos, E. & Sotiropoulos, S. N. Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images. NeuroImage 141, 556–572 (2016).
15. Smith, S. M. Fast robust automated brain extraction. Hum. Brain Mapp. 17, 143–155 (2002).
16. Jenkinson, M., Beckmann, C. F., Behrens, T. E. J., Woolrich, M. W. & Smith, S. M. FSL. NeuroImage 62, 782–790 (2012).
17. Mori, S., Wakana, S., Zijl, P. C. M. van & Nagae-Poetscher, L. M. MRI Atlas of Human White Matter. (Elsevier, 2005).
18. Zhang, Y., Brady, M. & Smith, S. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. IEEE Trans. Med. Imaging 20, 45–57 (2001).
19. Aboitiz, F., Scheibel, A. B., Fisher, R. S. & Zaidel, E. Fiber composition of the human corpus callosum. Brain Res. 598, 143–153 (1992).
20. Veraart, J., Raven, E. P., Edwards, L. J., Weiskopf, N. & Jones, D. K. The variability of MR axon radii estimates in the human white matter. Hum. Brain Mapp. 42, 2201–2213 (2021).
21. Dvorak, A. V. et al. An atlas for human brain myelin content throughout the adult life span. Sci. Rep. 11, 269 (2021).
22. Tax, C. M. W. et al. Measuring compartmental T2-orientational dependence in human brain white matter using a tiltable RF coil and diffusion-T2 correlation MRI. NeuroImage 236, 117967 (2021).
23. Gil, R. et al. An in vivo study of the orientation-dependent and independent components of transverse relaxation rates in white matter. NMR Biomed. 29, 1780–1790 (2016).
24. Knight, M. J., Dillon, S., Jarutyte, L. & Kauppinen, R. A. Magnetic Resonance Relaxation Anisotropy: Physical Principles and Uses in Microstructure Imaging. Biophys. J. 112, 1517–1528 (2017).
25. Oh, S.-H., Kim, Y.-B., Cho, Z.-H. & Lee, J. Origin of B0 orientation dependent R2* (=1/T2*) in white matter. NeuroImage 73, 71–79 (2013).
26. Fan, Q. et al. Axon diameter index estimation independent of fiber orientation distribution using high-gradient diffusion MRI. NeuroImage 222, 117197 (2020).
27. Baumeister, T. R., Kolind, S. H., MacKay, A. L. & McKeown, M. J. Inherent spatial structure in myelin water fraction maps. Magn. Reson. Imaging 67, 33–42 (2020).