Abstract #0933

End-to-end Automation of Quantitative Processing for 4D Flow MRI in the Aorta: Demonstration and Evaluation in 271 Subjects

Ethan M I Johnson¹, Haben Berhane¹, Elizabeth Weiss¹, Aparna Sodhi², Kelly Jarvis¹, Michael Scott¹, Joshua Robinson², Cynthia K Rigsby², and Michael Markl¹

¹Northwestern University, Chicago, IL, United States, ²Ann & Robert H. Lurie Children's Hospital, Chicago, IL, United States

Synopsis

Keywords: Data Processing, Velocity & Flow, 4D Flow MRI, Quantitative HemodynamicsA generalized data-processing pipeline tool for performing completely automated hemodynamic assessment from raw 4D flow MR images is presented. The tool is evaluated for performance in a group of 271 subjects with mixed distribution of healthy, valve disease, and connective-tissue disorder status. A high success rate of 94% is achieved for fully-automated quantification of regional aortic peak velocities and global aortic pulse wave velocity.

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