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Research ArticleINTERVENTIONAL

Patient-Specific Computational Fluid Dynamics Modeling of Anterior Communicating Artery Aneurysms: A Study of the Sensitivity of Intra-Aneurysmal Flow Patterns to Flow Conditions in the Carotid Arteries

M.A. Castro, C.M. Putman and J.R. Cebral
American Journal of Neuroradiology November 2006, 27 (10) 2061-2068;
M.A. Castro
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C.M. Putman
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J.R. Cebral
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  • Fig 1.
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    Fig 1.

    Construction of 2 vascular models of AComA aneurysms from bilateral 3D rotational angiograms. The top row corresponds to patient 1, whereas the bottom row corresponds to patient 2. From left to right, the columns show volume renderings of the 3D rotational angiograms obtained by contrast injection in the right and left ICAs, the coregistered 3D rotational angiograms, and the reconstructed vascular models.

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    Fig 2.

    Flow waveforms used in the numeric models of aneurysm hemodynamics.

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    Fig 3.

    Visualization of the inflow and intra-aneurysmal flow patterns: Instantaneous streamlines at peak systole of the base case (1) are plotted for patient 1 (A) and patient 2 (B). The streamlines originating in the left and right A1 segments are rendered in red and light blue, respectively. The dominance of the left inflow in patient 2 and the more symmetric inflow pattern of patient 1 can be clearly seen.

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    Fig 4.

    Selected regions for comparison of WSSs obtained under different flow conditions. The left and right panels correspond to the aneurysms of patients 1 and 2, respectively.

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    Fig 5.

    Average WSS magnitude over each region of patient 1 for the flow conditions listed in the Table. WSS magnitudes are in dynes per square centimeter, and time is in percentage of the cardiac cycle.

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    Fig 6.

    Average WSS magnitude over each region of patient 2 for the flow conditions listed in the Table. WSS magnitudes are in dynes per square centimeter, and time is in percentage of the cardiac cycle.

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    Fig 7.

    Visualizations of the instantaneous WSS distribution over the aneurysm of patient 1. Each column corresponds to each of the 4 selected instants of time defined in Fig 5. Each row corresponds to each of the 9 flow conditions listed in the Table. The regions defined in Fig 4 (left) are also shown for reference. WSS magnitudes range from 0 (blue) to 200 dyne/cm2 (magenta).

  • Fig 8.
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    Fig 8.

    Visualizations of the instantaneous WSS distribution over the aneurysm of patient 2. Each column corresponds to each of the 4 selected instants of time defined in Fig 6. Each row corresponds to each of the 9 flow conditions listed in the Table. The regions defined in Fig 4 (right) are also shown for reference. WSS magnitudes range from 0 (blue) to 200 dyne/cm2 (magenta).

Tables

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  • Flow conditions used for the numerical models of aneurysm hemodynamics

    CaseQLICA (mL/s)QRICA (mL/s)ΔφSLICASRICA
    14.824.820%11
    24.585.060%11
    35.064.580%11
    45.425.640%23
    55.645.420%32
    64.824.82+2%11
    74.824.82−2%11
    84.824.82+4%11
    94.824.82−4%11
    • Note:—QLICA and QRICA denote mean flows in the left and right internal carotid arteries (ICAs), respectively; Δφ, the phase shift between the left and right waveforms; SLICA and SRICA, the waveform shapes in the left and right ICAs, respectively; these numbers indicate the curves shown in Figure 2.

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American Journal of Neuroradiology: 27 (10)
American Journal of Neuroradiology
Vol. 27, Issue 10
November 2006
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Cite this article
M.A. Castro, C.M. Putman, J.R. Cebral
Patient-Specific Computational Fluid Dynamics Modeling of Anterior Communicating Artery Aneurysms: A Study of the Sensitivity of Intra-Aneurysmal Flow Patterns to Flow Conditions in the Carotid Arteries
American Journal of Neuroradiology Nov 2006, 27 (10) 2061-2068;

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Patient-Specific Computational Fluid Dynamics Modeling of Anterior Communicating Artery Aneurysms: A Study of the Sensitivity of Intra-Aneurysmal Flow Patterns to Flow Conditions in the Carotid Arteries
M.A. Castro, C.M. Putman, J.R. Cebral
American Journal of Neuroradiology Nov 2006, 27 (10) 2061-2068;
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