Abstract #4422

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

Ting Gong^1,2, Qiqi Tong¹, Hongjian He¹, Jianhui Zhong^1,3, 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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