Abstract #4328

Axial T2-weighted MR imaging of the cervical spine using PROPELLER with deep learning reconstruction to improve image quality

You Seon Song¹, In Sook Lee¹, Moon jung Hwang², Kyungeun Jang², Maggie Fung³, and Xinzeng Wang⁴

¹Pusan National University Hospital, Busan, Korea, Republic of, ²GE Healthcare Korea, Seoul, Korea, Republic of, ³GE Healthcare, New York, NY, United States, ⁴GE Healthcare, Houston, TX, United States

Synopsis

We evaluated the utility of PROPELLER T2 FSE with deep-learning (DL) reconstruction in the cervical spine MRI, with the goal of overcoming respiratory and swallowing motion, improving image sharpness, and achieving high-resolution imaging within a comparable scan time to the conventional T2 FSE sequences. With utilization of DL reconstruction, the axial PROPELLER T2 was able to obtain images with high resolution and reduced noise.

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.