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Abstract #0421

Brain tissue multi-compartment relaxometry - An improved method for in vivo myelin water imaging

Kwok-Shing Chan1 and José P. Marques1

1Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands

In this study, we propose an extension to GRE based myelin water fraction techniques based on 3-comparment models. The new model includes T1 and chemical exchange effects between a free water pool and a myelin water pool and can be fitted to a variable flip angle acquisition strategy. Furthermore, we demonstrate that it can both correct the T1 dependency in MWF, make the fitting procedure less ill-posed and more SNR efficient, resulting in robust estimation across subjects.

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