Abstract #0277

Multi-exponential diffusivity spectroscopy with clinical DWI protocol has the potential to diagnose and characterize gliomas

Junqi Xu¹, Yaru Sheng², Hao Li¹, Qianfeng Wang¹, Zidong Yang¹, Yan Ren², and He Wang^1,3

¹Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, ²Radiology Department, Hua Shan Hospital, Fudan University, Shanghai, China, ³Human Phenome Institute, Fudan University, Shanghai, China

Synopsis

Keywords: Quantitative Imaging, Brain, Diffusion, Multi-exponential spectroscopyWe present a multi-exponential diffusivity spectroscopy model to measure the diffusivity distribution of individual voxels in gliomas, which enables the comparison of the spectral fraction components between brain tumors and normal tissues. A neural network algorithm was used to speed up and improve the stability of the decomposition of multi-exponential decay data with a lower signal-to-noise ratio. The results show that diffusivity fractions of some spectral components were significantly different between IDH-mutant and -wild gliomas in grades 2 and 3.

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