Computational Fluid Dynamics Modeling of Intracranial Aneurysms: Effects of Parent Artery Segmentation on Intra-Aneurysmal Hemodynamics
M.A. Castroa,
C.M. Putmanb,c and
J.R. Cebrala
a School of Computational Sciences, George Mason University, Fairfax, Va
b Department of Interventional Neuroradiology, Inova Fairfax Hospital, Fairfax Radiological Consultants, Falls Church, Va
c Department of Neurosurgery, George Washington University School of Medicine, Washington, DC

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Fig 1. Vascular models of 4 cerebral aneurysms reconstructed from 3D rotational angiography images.
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Fig 2. Visualizations of the hemodynamics of internal carotid artery aneurysm (patient 1) at peak systole: wall shear stress distribution in the original model (A), wall shear stress distribution in the truncated model (B), streamlines in the original model (C), and streamlines in the truncated model (D). Streamlines are colored according to velocity magnitude.
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Fig 3. Visualizations of the hemodynamics of middle cerebral artery aneurysm (patient 2) at peak systole: wall shear stress distribution in the original model (A), wall shear stress distribution in the truncated model (B), streamlines in the original model (C), and streamlines in the truncated model (D). Streamlines are colored according to velocity magnitude.
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Fig 4. Visualizations of the hemodynamics of middle cerebral artery aneurysm (patient 3) at peak systole: wall shear stress distribution in the original model (A), wall shear stress distribution in the truncated model (B), streamlines in the original model (C), and streamlines in the truncated model (D). Streamlines are colored according to velocity magnitude.
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Fig 5. Visualizations of the hemodynamics of anterior communicating artery aneurysm (patient 4) at peak systole: wall shear stress distribution in the original model (A), wall shear stress distribution in the truncated model (B), streamlines in the original model (C), and streamlines in the truncated model (D). Streamlines are colored according to velocity magnitude.
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