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Abstract #3785

In-Plane PC-MRI as a Tool for Verification of Non-Newtonian CFD Models of the Flow in Cerebral Aneurysms

Vitaliy L. Rayz1, Loic Boussel2, Alastair J. Martin1, Gabriel Acevedo-Bolton1, Joe R. Leach, Randall T. Higashida3, Michael T. Lawton3, William L. Young4, David Saloner1

1Radiology, University of California San Francisco, San Francisco, CA, USA; 2Cratis-LRMN (LB, PCD), UMR CNRS 5515, INSERM U630, Lyon, France; 3Neurological Surgery, University of California San Francisco, San Francisco, CA, USA; 4Anesthesia and Perioperative Care, University of California San Francisco, San Francisco, CA, USA


MR angiography and velocimetry were used to construct patient-specific computational model of the flow in a giant basilar aneurysm. The flow fields predicted by CFD using the Carreau viscosity model with two different set of parameters were compared to Newtonian CFD predictions, as well as to the in-plane PC-MRI data obtained in vivo. The Newtonian flow field shows better agreement with the in vivo flow than does the non-Newtonian results obtained in both cases. While CFD provides high resolution data that cannot be accurately obtained from imaging only, PC-MRI is important for verification of the numerical predictions and modeling assumptions.