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Computational fluid dynamics modeling of intracranial aneurysms: qualitative comparison with cerebral angiography.

机译:颅内动脉瘤的计算流体动力学建模:与脑血管造影的定性比较。

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RATIONALE AND OBJECTIVE: The purpose of this study is to determine whether computational fluid dynamics modeling can correctly predict the location of the major intra-aneurysmal flow structures that can be identified by conventional angiography. MATERIALS AND METHODS: Patient-specific models of three cerebral aneurysms were constructed from three-dimensional rotational angiography images and computational fluid dynamic simulations performed. Using these velocity fields, contrast transport was simulated and visualizations constructed to provide a "virtual" angiogram. These models were then compared to images from high frame rate conventional angiography to compare flow structures. RESULTS: Computational fluid dynamics simulations showed three distinct flow types ranging from simple to complex. Virtual angiographic images showed good agreement with images from conventional angiography for all three aneurysms with analogous size and orientation of the inflow jet, regions of impaction, and flow type. Largeintra-aneurysmal vortices and regions of outflow also corresponded between the images. CONCLUSIONS: Patient-specific image-based computational models of cerebral aneurysms can realistically reproduce the major intra-aneurysmal flow structures observed with conventional angiography. The agreement between computational models and angiographic structures is less for slower zones of recirculation later in the cardiac cycle.
机译:理由和目的:这项研究的目的是确定计算流体动力学建模是否可以正确预测可通过常规血管造影术识别的主要动脉瘤内血流的位置。材料与方法:从三维旋转血管造影图像构建了三个脑动脉瘤的患者特定模型,并进行了计算流体动力学模拟。使用这些速度场,对造影剂传输进行了模拟,并建立了可视化图像以提供“虚拟”血管造影照片。然后将这些模型与来自高帧速常规血管造影的图像进行比较,以比较血流结构。结果:计算流体动力学模拟显示三种不同的流动类型,从简单到复杂。对于所有三个动脉瘤,虚拟血管造影图像均显示与常规血管造影图像完全吻合,并且流入射流的大小和方向,撞击区域和血流类型类似。图像之间也有较大的动脉瘤内旋涡和流出区域。结论:基于患者特定图像的脑动脉瘤计算模型可以真实再现常规血管造影所观察到的主要动脉瘤内血流结构。对于心动周期后期较慢的再循环区域,计算模型与血管造影结构之间的一致性较小。

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