Meeting Banner
Abstract #1767

Rapid Free-breathing 3D SPirAl Respiratory and Cardiac Self-gated (SPARCS) Cine Acquisition Using an Undersampled Stack-of-Spirals

Xitong Wang1, Junyu Wang1, Ruixi Zhou1,2, and Michael Salerno1,3,4,5
1Department of Biomedical Engineering, University of Virginia, Charottesville, VA, United States, 2School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China, 3Department of Medicine, Stanford University, Palo Alto, CA, United States, 4Department of Medicine, University of Virginia, Charottesville, VA, United States, 5Department of Radiology, University of Virginia, Charottesville, VA, United States

Synopsis

Cardiac cine images are the gold standard techniques for analyzing cardiac function. Clinical breath-held ECG-gated Cartesian cine imaging requires 10-12 breath-holds to cover the left ventricle. Our group has developed a continuous-acquisition respiratory and cardiac self-gated cine sequence (SPARCS) for free-breathing cardiac function acquisition using 2D spiral acquisition can suffer from through-plane motion. Thus, we develop a rapid 3D self-gated cine technique using a variable density undersampled stack of spiral gradient echo sequence to provide 3D coverage of the ventricle enabling thinner slice acquisition and improved robustness to through-plane motion.

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