Bulletin of the American Physical Society
71st Annual Meeting of the APS Division of Fluid Dynamics
Volume 63, Number 13
Sunday–Tuesday, November 18–20, 2018; Atlanta, Georgia
Session M17: Biological fluid dynamics: Brains and Spines
8:00 AM–10:10 AM,
Tuesday, November 20, 2018
Georgia World Congress Center
Room: B304
Chair: Phanindra Tallapragada, Clemson University
Abstract ID: BAPS.2018.DFD.M17.2
Abstract: M17.00002 : Cerebral Aneurysm Hemodynamic Comparison between Computational Fluid Dynamics and Dual-venc 4D Flow MRI
8:13 AM–8:26 AM
Presenter:
Joseph C Muskat
(Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States)
Authors:
Joseph C Muskat
(Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States)
Sean M Rothenberger
(Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States)
Sameer A Ansari
(Radiology, Neurological Surgery and Neurology, Northwestern University, Chicago, IL, United States)
Craig J Goergen
(Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States)
Susanne Schnell
(Radiology, Northwestern University, Chicago, IL, United States)
Michael Markl
(Radiology, Northwestern University, Chicago, IL, United States, Biomedical Engineering, Northwestern University, Chicago, IL, United States)
Vitaliy L Rayz
(Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States)
Hemodynamic forces affecting cerebral aneurysm progression can be assessed with CFD or, alternatively, with time-resolved, 3-directional phase-contrast MRI (4D flow MRI). 4D flow dynamic range is determined by the velocity encoding parameter (venc), set above the expected maximum velocity, which can result in low velocity-to-noise ratio (VNR) for slow flow. A novel, dual-venc 4D flow MRI technique, combining high- and low-venc acquisitions, can improve VNR and, therefore, quantification of flow metric. In this study, superior resolution of CFD was used to assess the advantages of dual-venc relative to a single-venc 4D flow acquisition. 4D flow MRI and MRA data acquired for 5 cerebral aneurysms at Northwestern University were used to generate vascular geometries and prescribe inlet-outlet waveforms. The Navier-Stokes equations were solved with the finite-volume solver ANSYS Fluent. Preliminary results show that dual-venc technique improves velocimetry in flow separation regions; however, the resolution in small intracranial vessels impedes accurate estimation of near-wall velocity gradients. The average difference between the dual-venc and CFD velocities was 2.5% smaller than that for single-venc. Further quantification of the differences between CFD and 4D flow will be presented.
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DFD.M17.2
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