Abstract #3156

Highly accelerated sub-millimeter 3D T2 FLAIR based on deep learning and its application in robot-assist PBC for trigeminal neuralgia

Qiangqiang Liu^1,2, Shuheng Zhang³, Jiwen Xu^1,4, Jiachen Zhu³, Yiwen Shen⁵, Changquan Wang², Wenzhe Chen², Jun Yang³, and Jianmin Yuan⁶

¹Department of Neurosurgery, Clinical Neuroscience Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, ²Clinical Neuroscience Center, Ruijin Hospital Luwan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, Shanghai, China, ³United Imaging Healthcare, Shanghai, China, ⁴Clinical Neuroscience Center, Ruijin Hospital Luwan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China, ⁵Department of Radiology, Ruijin Hospital Luwan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China, ⁶Central Research Institute, United Imaging Healthcare, Shanghai, China

Synopsis

With 3D T2 FLAIR imaging, trigeminal nerve is clearly demonstrated with CSF nulled, while low SNR and low spatial resolution is always the limitation. In this study, we introduced a 0.75mm isotropic resolution whole brain 3D T2 FLAIR imaging in 5min 40sec based on a novel deep learning framework, and evaluated on a small patient cohort who underwent MR-guided robot-assist percutaneous balloon compression (PBC). To our knowledge, this is the first clinical report of MR-guided robot-assist PBC surgery based on DL accelerated 3D scan.

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.