Abstract #2354

Magnetic resonance fingerprinting in patients with Parkinson's disease

Yaping Wu¹, Qian Xie², Ge Zhang¹, Yan Bai¹, Xipeng Yue¹, Wei Wei¹, Fangfang Fu¹, Nan Meng¹, Xianchang Zhang³, Yusong Lin^4,5,6, and Meiyun Wang¹

¹Department of Medical Imaging, Henan Provincial People’s Hospital, Zhengzhou, China, ²School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China, ³MR Collaboration, Siemens Healthineers Ltd., Beijing, China, ⁴School of Cyber Science and Engineering, Zhengzhou University, Zhengzhou, China, ⁵Collaborative Innovation Center for Internet Healthcare, Zhengzhou University, Zhengzhou, China, ⁶Hanwei IoT Institute, Zhengzhou University, Zhengzhou, China

Synopsis

Keywords: MR Fingerprinting/Synthetic MR, MR Fingerprinting, Parkinson's diseaseThis study investigated the utility of 3D high resolution magnetic resonance fingerprinting (MRF) to detect potential brain changes in Parkinson’s disease (PD). MRF T1 and T2 maps of the brains of 22 PD patients and 22 volunteers were non-linearly normalized into the MNI space to explore the group differences using whole-brain analysis. PD patients had significantly higher T1 and T2 values in the right inferior temporal gyrus anterior/posterior division, right temporal fusiform cortex anterior division, right planum polare and red nucleus. Our findings suggest that quantitative parameters acquired from 3D MRF may provide additional information for precise diagnosis of PD.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.