Abstract #2706

4D flow MRI Improves Computational Fluid Dynamics Analysis of Aortic Dissection

Sylvana García-Rodríguez¹, Jon Wrobel¹, Alejandro Roldán-Alzate^1,2, and Christopher J. François¹

¹Radiology, University of Wisconsin-Madison, Madison, WI, United States, ²Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, United States

The effects of MRI-derived three-directional velocity profiles implemented at the inlet of aortic dissection (AD) computational fluid dynamics (CFD) simulations were investigated. Two AD models were generated from in vivo MRA data using 3D printing. In vitro 4D Flow MRI was performed on the AD phantoms at two flow rates. Normal and multidirectional blood flow vectors at the AD inlet was measured from 4D Flow MRI data and used in CFD simulations. Significant differences were found in pressure distribution in response to inlet boundary condition definitions. Peak velocity and wall shear stress were also affected by inlet condition definition.

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