Physiological noise compensation in gradient echo based myelin water imaging

Recently, a few studies investigated the signal decay characteristics of multi-echo GRE data in white matter. They showed that the signal is composed of two or three components which have different decay rates and frequency offsets. Based on this finding, complex signal models were suggested and they generated more reliable myelin water images (MWI). However, the resulting myelin water fraction (MWF) maps still suffer from artifacts which may originate from physiological sources (e.g. respiration and cardiac). In this work, we explored the contribution of respiration- and cardiac-induced noises in GRE-MWI and proposed an approach to compensate for the noises.

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