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Abstract #3013

Automatic Detection of the Neuromelanin, Substantia Nigra, Red Nucleus and Subthalamic Nucleus using a High Resolution Brain Template

Mojtaba Jokar1, Ying Wang1,2, Zhijia Jin3, Yan Li3, Zenghui Cheng3, Yu Liu3, Naying He3, Fuhua Yan3, and E. Mark Haacke1,2,3,4,5
1Magnetic Resonance Innovations, Inc., Bingham Farms, MI, United States, 2Department of Radiology, Wayne State University, Detroit, MI, United States, 3Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 4Department of Biomedical Engineering, Wayne State University, Detroit, MI, United States, 5Department of Neurology, Wayne State University, Detroit, MI, United States

A total of 37 healthy controls (HC) were used to create a template which was then used to automatically detect neuromelanin, substantia nigra, red nucleus and subthalamic nucleus in the midbrain. In order to evaluate the performance of the template, regions of interest (ROIs) were drawn manually on the MTC and QSM images. DICE similarity coefficients and volume ratios of the template to manual data were calculated for different thresholds for each structure. These showed promising results, validating the performance of the template.

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