Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
531-03-007 / 531-03-007 ISMRM Abstract

The T1w/FLAIR Ratio: Associations with Myelin, Diffusion MRI, and Cognition

Accepted
Rob Colaes 1,2,3, Ahmed M Radwan1,2,4,5, Thibo Billiet1, Sarah Cappelle1,5, Ronald Peeters1,2,6, Daan Christiaens1,6, sabine deprez1,2,3, Stefan Sunaert1,2,5
1Department of Imaging & Pathology, KU Leuven, Leuven, Belgium
2Leuven Brain Institute, KU Leuven, Leuven, Belgium
3Leuven Cancer Institute, KU Leuven, Leuven, Belgium
4KU Leuven, Leuven, Belgium
5Department of Radiology, UZ Leuven, Leuven, Belgium
6Department of Electrical Engineering, KU Leuven, Leuven, Belgium
Presenting Author: Rob Colaes

Synopsis

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References

1. Prasloski T, Rauscher A, MacKay AL, et al. Rapid whole cerebrum myelin water imaging using a 3D GRASE sequence. Neuroimage. 2012;63(1):533-539. doi:10.1016/j.neuroimage.2012.06.064 [doi]
2. Glasser MF, Van Essen DC. Mapping human cortical areas in vivo based on myelin content as revealed by T1- and T2-weighted MRI. J Neurosci. 2011;31(32):11597-11616. doi:10.1523/JNEUROSCI.2180-11.2011 [doi]
3. Uddin MN, Figley TD, Solar KG, Shatil AS, Figley CR. Comparisons between multi-component myelin water fraction, T1w/T2w ratio, and diffusion tensor imaging measures in healthy human brain structures. Sci Rep. 2019;9(1):2500. doi:10.1038/s41598-019-39199-x [doi]
4. Sandrone S, Aiello M, Cavaliere C, et al. Mapping myelin in white matter with T1-weighted/T2-weighted maps: discrepancy with histology and other myelin MRI measures. Brain Struct Funct. 2023;228(2):525-535. doi:10.1007/s00429-022-02600-z [doi]
5. Cappelle S, Pareto D, Sunaert S, et al. T1w/FLAIR ratio standardization as a myelin marker in MS patients. NeuroImage Clin. 2022;36(103248):103248. doi:10.1016/j.nicl.2022.103248 [doi]
6. Billiet T, Emsell L, Vandenbulcke M, et al. Recovery from chemotherapy-induced white matter changes in young breast cancer survivors? Brain Imaging Behav. 2018;12(1):64-77. doi:10.1007/s11682-016-9665-8 [doi]
7. Avants B, Tustison NJ, Song G. Advanced Normalization Tools: V1.0. Insight J. Published online July 29, 2009. doi:10.54294/uvnhin [doi]
8. Isensee F, Schell M, Pflueger I, et al. Automated brain extraction of multisequence MRI using artificial neural networks. Hum Brain Mapp. 2019;40(17):4952-4964. doi:10.1002/hbm.24750 [doi]
9. Tournier JD, Smith R, Raffelt D, et al. MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation. Neuroimage. 2019;202(116137):116137. doi:10.1016/j.neuroimage.2019.116137 [doi]
10. Puonti O, Iglesias JE, Van Leemput K. Fast and sequence-adaptive whole-brain segmentation using parametric Bayesian modeling. Neuroimage. 2016;143:235-249. doi:10.1016/j.neuroimage.2016.09.011 [doi]
11. Whittall KP, MacKay AL. Quantitative interpretation of NMR relaxation data. J Magn Reson. 1989;84(1):134-152. doi:10.1016/0022-2364(89)90011-5 [doi]
12. Prasloski T, Mädler B, Xiang QS, MacKay A, Jones C. Applications of stimulated echo correction to multicomponent T2 analysis. Magn Reson Med. 2012;67(6):1803-1814. doi:10.1002/mrm.23157 [doi]
13. Leemans A, Jeurissen B, Sijbers J, Dk J. ExploreDTI: a graphical toolbox for processing, analyzing, and visualizing diffusion MR data. In: 17th Annual Meeting of Intl Soc Mag Reson Med. ; 2009.
14. Zhang H, Schneider T, Wheeler-Kingshott CA, Alexander DC. NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain. Neuroimage. 2012;61(4):1000-1016. doi:10.1016/j.neuroimage.2012.03.072 [doi]
15. Henschel L, Conjeti S, Estrada S, Diers K, Fischl B, Reuter M. FastSurfer - A fast and accurate deep learning based neuroimaging pipeline. Neuroimage. 2020;219(117012):117012. doi:10.1016/j.neuroimage.2020.117012 [doi]
16. Hua K, Zhang J, Wakana S, et al. Tract probability maps in stereotaxic spaces: analyses of white matter anatomy and tract-specific quantification. Neuroimage. 2008;39(1):336-347. doi:10.1016/j.neuroimage.2007.07.053 [doi]
17. Wakana S, Caprihan A, Panzenboeck MM, et al. Reproducibility of quantitative tractography methods applied to cerebral white matter. Neuroimage. 2007;36(3):630-644. doi:10.1016/j.neuroimage.2007.02.049 [doi]
18. Arshad M, Stanley JA, Raz N. Test-retest reliability and concurrent validity of in vivo myelin content indices: Myelin water fraction and calibrated T1 w/T2 w image ratio. Hum Brain Mapp. 2017;38(4):1780-1790. doi:10.1002/hbm.23481 [doi]
19. Pareto D, Garcia-Vidal A, Alberich M, et al. Ratio of T1-weighted to T2-weighted signal intensity as a measure of tissue integrity: Comparison with magnetization transfer ratio in patients with multiple sclerosis. AJNR Am J Neuroradiol. 2020;41(3):461-463. doi:10.3174/ajnr.A6481 [doi]

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