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Abstract #4422

TE-dependence of NODDI-derived parameters and its modelling with compartmental T2 relaxation times

Ting Gong1,2, Qiqi Tong1, Hongjian He1, Jianhui Zhong1,3, and Hui Zhang2
1Center for Brain Imaging Science and Technology, College of Biomedical Engineering and Instrumental Science, Zhejiang University, Hangzhou, China, 2Department of Computer Science & Centre for Medical Image Computing, University College London, London, United Kingdom, 3Department of Imaging Sciences, University of Rochester, Rochester, NY, United States

Compartment-based models of diffusion MRI signals have become popular for probing tissue microstructure. However, the standard models do not explicitly model compartment-specific T2 relaxation. This has been shown to cause a TE-dependence of DTI-derived measures in white matter, which can confound the interpretation and quantification of results. Here we explored the TE-dependence of the widely used NODDI model and proposed a technique to determine parameter estimates that are TE-independent. This could be useful in investgateing diseases where changes of T2 and signal fraction interact.

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