Comparative study reveals enhanced myelin water fraction estimation using polynomial T1w and FLAIR fitting in brain MRI datasets, suggesting a faster alternative to dedicated imaging.
In vivo myelin imaging often requires long and dedicated MRI scanning techniques. Combining conventional T1-weighted and FLAIR images into the T1w/FLAIR-ratio has been proposed as a myelin-sensitive proxy, however its sensitivity is debated. In this study, we explore the sensitivity to the myelin content of an improved combination of T1w and FLAIR contrasts. A training dataset (N=23) with reference standard myelin water fraction (MWF) values was used to fit both the T1w and FLAIR contrasts to the MWF using a second order polynomial surface fitting method. This combination was evaluated in an independent dataset (N=30) with reference MWF values relative to the T1w/FLAIR-ratio by partial correlation analysis adjusting for age and sex. Moreover, the performance of the improved combination was demonstrated in a population-based dataset (N=4652) by assessing its relation with age. The polynomial fit showed a 27% increase in correlation strength with the MWF compared to the standard T1w/FLAIR-ratio (r=.72 vs. r=.56, p<.01) in the white matter. In the external validation set the polynomial fit also increased the correlation strength compared to the T1w/FLAIR-ratio (r=.64 vs. r=.51, p=.07). Furthermore, in the large population-based dataset, the polynomial fit explained 9.5% more variance in a model with age and age squared, compared to the T1w/FLAIR ratio (R 2 =.48 vs. R 2 =.43, p<.001). A second-order polynomial combination of T1w and FLAIR images provides an empirically optimized marker with stronger associations with the reference MWF compared to the conventional T1w/FLAIR-ratio, without dedicated time-consuming imaging.
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Drenthen et al. (2026) studied this question.
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