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Abstract #3682

Texture analyses of quantitative susceptibility maps to differentiate patients with Parkinson’s disease from healthy controls

Gaiying Li1, Guoqiang Zhai1, Xinxin Zhao1, Hedi An2, Tian Liu3, Yi Wang1,3, Dongya Huang2, and Jianqi Li1

1Shanghai Key Laboratory of Magnetic Resonance and Department of Physics, East China Normal University, Shanghai, People's Republic of China, 2Department of Neurology, East Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China, 3Department of Radiology, Weill Medical College of Cornell University, NY, United States

QSM provides excellent contrast of iron-rich deep nuclei to quantify iron in the brains. Clinicians are interested in using QSM to diagnose patients with Parkinson’s disease (PD). Texture analyses of QSM images in substantia nigra (SN) was performed to differentiate PD from healthy controls (HC). Most of the texture parameters were significantly different between PD and HC. The second-order textures were more efficient in differentiating PD from HC than did the first-order ,which suggests that the second-order texture parameters are more suitable and sensitive for the diagnosis of PD.

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