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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