Meeting Banner
Abstract #2886

Comparison of AI-assisted Compressed Sensing (ACS) and Conventional Two-Dimensional Sequences on Lumbar Spine Imaging

He Sui1, Yu Gong2, Yunfei Zhang3, Yongming Dai3, and Zhanhao Mo1
1China-Japan Union Hospital of Jilin University, Changchun, China, 2Linyi People’s Hospital, Linyi, China, 3Central Research Institute, United Imaging Healthcare, Shanghai, China

Synopsis

MRI is widely used in the diagnosis of spinal diseases, but due to the limitation of long scanning time, it is often difficult for patients to tolerate. This study aims at exploring whether the ACS (AI-assisted Compressed Sensing) accelerated sequences can assure similar image quality and diagnostic accuracy of lumbar spine diseases compared to 2D conventional sequences. Results suggested that 2D ACS sequence has become a well-anticipated technique for routine examination of lumbar spine and lumbar spine lesions diagnosis, while ensuring high image quality and reduced scan time effectively than traditional 2D sequences in MRI.

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.

Keywords