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Abstract #0837

A Novel Method for Assessing Myelination with TE dependence of DTI-derived Parameters

Mu Lin1, Qiuping Ding1, Xu Yan2, Thorsten Feiweier3, Hongjian He1, and Jianhui Zhong4

1Center for Brain Imaging Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China, Hangzhou, People's Republic of China, 2MR Collaboration NE Asia, Siemens Healthcare, Shanghai, China., 3Siemens Healthcare GmbH, Erlangen, Germany., 4Department of Imaging Scienes, University of Rochester, Rochester, NY, USA.

Myelin water is abundant in white matter but myelin signal is often ignored in diffusion models due to its short T2. There is however substantial water exchange between myelin and non-myelin water within typical diffusion times. Using Monte Carlo simulation and in-vivo measurement, we demonstrate that this water exchange might result in an echo-time (TE) dependence of DTI-derived parameters. As myelin water exchange increases with the thickness of myelin sheath, the TE dependence can be used to assess the degree of myelination.

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