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.M17.6
Abstract: M17.00006 : Patient-Specific Modeling of Cerebral Aneurysms Hemodynamics: Comparisons of CFD, in vitro, and in vivo 4D Flow MRI
9:05 AM–9:18 AM
Presenter:
Sean Rothenberger
(Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA)
Authors:
Sean Rothenberger
(Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA)
Melissa Brindise
(School of Mechanical Engineering, Purdue University, West Lafayette, IN, USA)
Joseph Muskat
(Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA)
Ben Dickerhoff
(Department of Biomedical Engineering, Marquette University, Milwaukee, WI, USA)
Susanne Schnell
(Feinberg School of Medicine, Northwestern University, Chicago, IL, USA)
Michael Markl
(Feinberg School of Medicine, Northwestern University, Chicago, IL, USA)
David Saloner
(Department of Radiology and Biomedical Imaging, University of California San Francisco, CA, USA)
Pavlos Vlachos
(School of Mechanical Engineering, Purdue University, West Lafayette, IN, USA)
Vitaliy Rayz
(Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA)
Flow metrics influencing cerebral aneurysm stability can be evaluated using modeling (numerical or experimental) or 4D flow MRI. Modeling has high spatiotemporal resolution but relies on assumptions, e.g. boundary conditions and wall compliance. 4D flow, while measuring velocities in vivo, has limited resolution and dynamic range. Our goal is to use high resolution modeling to detect flow features not resolved by imaging. In vitro 4D flow and CFD studies were conducted in two cerebral aneurysm models constructed from MR data acquired at Northwestern University and UCSF. Patient-specific geometries were generated using 3D printing and silicon casting. The models’ Reynolds and Womersley numbers matched those of the in vivo blood flow. Computations were run using FLUENT solver with boundary conditions obtained from in vivo measurements. Spatial and temporal resolution of CFD was 150 um and 1.5 ms, respectively. Preliminary results did not show a consistent over- or underestimation of the CFD velocities relative to in vivo measurements. Qualitative agreement of the dominant flow features was found across the modalities, however CFD revealed small flow structures in the near-wall regions which in vivo 4D flow could not detect.
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DFD.M17.6
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