Abstract #2582

Unattended Processing of 4D Flow MRI in the Aorta: Assessment of Aortic Dimension, Blood Flow, and Demographics in 782 Subjects

Julio Garcia¹, Alex J. Barker¹, Susanne Schnell¹, Jeremy D. Collins¹, James C. Carr¹, and Michael Markl^1,2

¹Radiology, Northwestern University, Chicago, IL, United States, ²Biomedical Engineering, Northwestern University, Evanston, IL, United States

The processing of time-resolved 3D phase-contrast MRI with three-directional velocity encoding (4D flow MRI) cases can be highly time consuming given the large multi-dimensional datasets (3D+time of the cardiac cycle+3-directional blood flow velocities). However, the fully automated processing of cases in large databases is still challenging. The purpose of this study was to introduce an automated workflow allowing the unattended retrospective processing of aortic 4D flow MRI data from a large database of subjects.

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