Epicardial adipose tissue (EAT) and its fatty acid composition (FAC) have been implicated in numerous cardiovascular diseases as saturated fatty acids are known to promote inflammation. FAC MRI techniques, while prominent, have not been applied to EAT due to extended scan times, thus, image acceleration is essential. Here, we demonstrate compressed sensing with a signal model-based dictionary (CS-DICT) to reconstruct psuedo-random undersampled images. Using CS-DICT, we achieve rate-3 acceleration while maintaining accurate EAT FAC maps and estimations in obese mice. These methods facilitate the application of FAC MRI to the EAT.
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.
Keywords