Abstract #2648

Diagnosing Parkinson’s disease by Combining Neuromelanin and Iron Image Features Using Automatic SN Subregions Detection Approach

Zhijia Jin¹, Mojtaba Jokar², Ying Wang^2,3, Yan Li¹, Zenghui Cheng¹, Yu Liu¹, Rongbiao Tang¹, Xiaofeng Shi¹, Youmin Zhang¹, Jihua Min¹, Fangtao Liu¹, Naying He¹, E. Mark Haacke^1,2,3,4, and Fuhua Yan¹

¹Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, ²Magnetic Resonance Innovations, Inc., Bingham Farms, MI, United States, ³Radiology, Wayne State University, Detroit, MI, United States, ⁴Biomedical Engineering, Wayne State University, Detroit, MI, United States

Synopsis

A total of 100 Parkinson’s disease (PD) patients and 100 age- and sex-matched healthy controls (HCs) were scanned using a single 3D gradient echo magnetization transfer sequence. We developed an automatic substantia nigra (SN) subregions segmentation approach to get neuromelanin (NM) and iron measurements in the SN. These measures along with their overlap region volume and the nigrosome-1 (N1) sign showed reliable results indicative of promising diagnostic biomarkers to differentiate PD patients from HCs.

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