Abstract #2430

Verification and Validation of Merging Patient-Specific Computational Fluid Dynamics and 4D-Flow MRI

Alexandria M Miller¹, Ali Bakhshinejad², Mojtaba Fathi Firoozabad³, Ahmadreza Baghaei⁴, Raphael Sacho², Kevin M Koch⁵, Christoff Roloff⁶, Philipp Berg⁶, and Roshan M D'Souza¹

¹Mechanical Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI, United States, ²Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States, ³University of Wisconsin-Milwaukee, Milwaukee, WI, United States, ⁴New York Institute of Technology, Long Island, NY, United States, ⁵Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, ⁶Research Campus STIMULATE, University of Magdeburg, Magdeburg, Germany

In this work, we present the result of verification and validation of our previously developed method that enabled merging of patient-specific Computational Fluid Dynamics (CFD) and 4D-Flow MRI using Proper Orthogonal Decomposition (POD) to address limitations of both modalities. A constant fluid flow boundary condition was applied on a transparent in vitro aneurysm phantom geometry and the volumetric velocity field was scanned using 4D-Flow MRI, and tomographic Particle Image Velocimetry (tPIV). The latter has much higher spatial resolution and can be used to verify the accuracy of the results of merging CFD and volumetric 4D-Flow MRI. Results show that the POD-based merging algorithm enables reconstruction of fine flow details not seen in 4D-Flow MRI due to limited spatial resolution.

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