Abstract #3013

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

Mojtaba Jokar¹, Ying Wang^1,2, Zhijia Jin³, Yan Li³, Zenghui Cheng³, Yu Liu³, Naying He³, Fuhua Yan³, and E. Mark Haacke^1,2,3,4,5

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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here