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Abstract #2980

Comparison of Three Non-Gaussian Diffusion Models for Differentiation of Pediatric Brain Tumors

Yi Sui1, 2, Guanzhong Liu1, He Wang3, Frederick C. Damen1, 4, Yuhua Li5, Xiaohong Joe Zhou1, 6

1Center for MR Research, University of Illinois Hospital & Health Sciences System, Chicago, IL, United States; 2Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, United States; 3Applied Science Lab, GE Healthcare, Shanghai, China; 4Department of Radiology, University of Illinois Hospital & Health Sciences System, Chicago, IL, United States; 5Department of Radiology, Xinhua Hospital, Shanghai, China; 6Departments of Radiology, Neurosurgery and Bioengineering, University of Illinois Hospital & Health Sciences System, Chicago, IL, United States


A systematic comparison of non-Gaussian diffusion models is conducted in the context of differentiating pediatric brain tumors. Three non-Gaussian diffusion models - FROC, kurtosis and bi-exponential models - were selected for evaluation of their performance for differentiating low-grade from high-grade pediatric brain tumors. Our results suggested that FROC model had the best performance, although the other two models also produced excellent results. In conclusion, non-Gaussian diffusion models with high b-values (up to 4000 s/mm2) can provide valuable and reliable information for characterizing pediatric brain tumors.