Physiological noise compensation in gradient echo based myelin water imaging
Yoonho Nam 1 and Jongho Lee 1
Department of Electrical and Computer
Engineering, Seoul National University, Seoul, Seoul,
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
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