Abstract #3194

A Correlation Study Between Brain Sub-Region Volumes and the Severity of Parkinson’s Disease

Zhanhao Mo¹, Lin Liu¹, Lei Zhang¹, Runyu Tang², Yunfei Zhang², Yongming Dai², and He Sui¹

¹China-Japan Union Hospital of Jilin University, Jilin, China, ²MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China

Synopsis

Keywords: Parkinson's Disease, SegmentationBy applying a deep-learning based brain segmentation algorithm on T1-weighted images, the brain was segmented into 106 sub-regions and regional volumes were determined automatically. We analyzed the relationship of brain regional volumes and the severity of Parkinson’s Disease (PD) and compared regional volumes in a cohort of patients with mild and moderate PD. Our data demonstrated that regional volumes of certain brain structures had the potential ability in the characterization 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.