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 Wang^1,3, 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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