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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