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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