Abstract #1534

A Preliminary attempt to Visualize Nigrosome 1 in the Subtantia Nigra for Parkinson’s Disease at 3T: An efficient SMWI imaging with QSMnet

Minju Jo¹ and Se-Hong Oh^2,3

¹Laboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea, ²Department of Biomedical Engineering, Hankuk University of Foreign Studies, Yongin, Republic of Korea, ³Imaing Institute, Cleveland Clinic Foundation, Cleveland, OH, United States

We have described an efficient approach for SMWI visualizing SN and nigrosome 1 on clinical field strength (). QSMnet provides a similar SMWI image to that obtained with the conventional iterative QSM algorithm (such as iLSQR) but improves QSM processing speed by avoiding iterative computation. Since QSM reconstruction is the most time-consuming step of SMWI processing, QSMnet can help to achieve an improved SMWI processing speed. The application of QSMnet will be helpful when processing a massive amount of data or may contribute to the development of a scanner embedded real-time reconstruction of SWMI.

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