Feasibility of Integrating 7 Diffusion Models within a Single Acquisition and Their Performance Comparison in Glioma Grading
Minxiong Zhou1, Huiting Zhang2, Ankang Gao3, Shaoyu Wang2, Jie Bai3, Guang Yang4, Jingliang Cheng3, and Xu Yan2
1Shanghai University of Medicine & Health Sciences, Shanghai, China, 2MR Scientific Marketing, Siemens Healthineers, Shanghai, China, 3Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 4Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science,East China Normal University, Shanghai, China
There are many advanced diffusion models available for neural and body researches, while their acquisitions are different and normally difficult to be joint applied and compared in one study. In this study, we tried to calculate 7 diffusion models, including 4 neural and 3 cancer related models, using data from one acquisition, and applied it for glioma. Two diffusion acquisition strategy were evaluated, and the performance of these models in glioma grading was also compared. The result showed that both acquisition strategies could generate high quality quantitative parameters for all models, which showed significant differences between high- and low-grade tumor.
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