Abstract #3126

Free-breathing 2D cine DENSE MRI using localized signal generation, image-based navigators, motion compensation and compressed sensing

Xiaoying Cai¹, Xiao Chen², Yang Yang¹, Michael Salerno³, Daniel S. Weller⁴, Craig H. Meyer¹, and Frederick H. Epstein¹

¹Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, ²Medical Imaging Technologies, Siemens Healthcare, Princeton, NJ, United States, ³University of Virginia, Charlottesville, VA, United States, ⁴Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, United States

Current cine DENSE protocols require breath-holding, which limits the use of this technique to patients with good breath-holding capabilities and excludes many pediatric and heart failure patients. To accomplish free-breathing scans with high efficiency and quality, we developed a 2D cine DENSE acquisition and reconstruction framework that utilizes localized signal generation, image-based self-navigated motion estimation, k-space motion correction and compressed sensing. Reconstructions and Bland-Altman analysis from 5 volunteers demonstrated that the proposed method recovered high-quality images and strain data from free-breathing data, showing better agreement than conventional reconstructions of the same data with breath-holding scans.

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.