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Myelin water fraction (MWF) mapping using MRI has enabled researchers to directly examine myelination and demyelination in both developing and diseased brains. T2-, and T2*-weighted multi-echo data have been proposed to estimate MWF in the human brain. Even for the simple two pool signal models of myelin and non-myelin associated water, number of dimensions of the parameter space for obtaining MWF estimates remains high, making parameter estimation challenging. The aim of this research is to improve the accuracy of brain myelin mapping using a novel joint inversion imaging method that combines data from multiple contrasts in a single optimization process.
Dega et al. (Wed,) studied this question.
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