In this study, we propose an extension of the formalism of gradient echo based myelin water imaging by incorporating diffusion-weighted imaging data and an analytical white matter fibre model of signal evolution in a hollow cylinder. Voxel-wise analysis illustrated that the proposed model can significantly reduce the noise in the MWF estimation compared to the standard model, providing robust estimation even on high resolution data.
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