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Abstract #0050

Diffusion informed Myelin Water Imaging

Kwok-Shing Chan1, Renaud Hedouin1, and José P. Marques1
1Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands

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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