Meeting Banner
Abstract #3960

In-Vivo Quantification of Aortic Stiffness using a Multi-Slice Spin-Echo Echo-Planar Imaging Sequence: A Comparison to a Gradient-Recalled Echo Sequence

Huiming Dong1,2, Ning Jin3,4, Prateek Kalra1, Richard White1,4, and Arunark Kolipaka1,2,4

1Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, OH, United States, 2Department of Biomedical Engineering, The Ohio State University, Columbus, OH, United States, 3Siemens Healthcare USA, Columbus, OH, United States, 4Internal Medicine-Cardiovascular Division, The Ohio State University Wexner Medical Center, Columbus, OH, United States

Aortic stiffness is an important biomarker of cardiovascular diseases. Magnetic Resonance Elastography (MRE) is a non-invasive tool for measuring in-vivo aortic stiffness. Gradient-Recalled Echo (GRE) MRE sequences are widely employed for aortic MRE. However, GRE MRE sequences are sensitive to T2* decay, leading to signal loss and lower Signal-to-Noise Ratio (SNR). In this work, a cardiac-gated Spin-Echo Echo-Planar Imaging (SE-EPI) MRE sequence was developed and validated against GRE MRE. Similar aortic stiffness was observed between the two techniques. Moreover, shorter scan time, higher first-harmonic amplitude, and Octahedral Shear Strain-Based SNR (OSS-SNR) were achieved using SE-EPI MRE (p<0.05).

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