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Abstract #1735

Tumor Grading of Glioma by Histogram Analysis Based on Multiple Advanced Diffusion Models, including DTI, DKI, MAP-MRI and NODDI

Gao Ankang1, Zhang Huiting2, Yang Guang3, Wang Shaoyu2, Yan Xu2, Bai Jie1, and Cheng Jingliang1
1MRI, Dept. of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2MR Scientific Marketing, Siemens Healthcare, Shanghai, China, 3Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China

Diffusion imaging is widely used to noninvasively detect the microscopic diffusion properties of biological tissues in vivo. Advanced diffusion models were recently proposed to provide additional microstructure information. In present work, we applied four diffusion models in glioma grading, including DTI, DKI, MAP-MRI and NODDI model, which could be acquired within a single scan.

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