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首页> 外文期刊>Journal of stroke and cerebrovascular diseases: The official journal of National Stroke Association >Impact of Side Branches on the Computation of Fractional Flow in Intracranial Arterial Stenosis Using the Computational Fluid Dynamics Method
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Impact of Side Branches on the Computation of Fractional Flow in Intracranial Arterial Stenosis Using the Computational Fluid Dynamics Method

机译:用计算流体动力学方法对侧枝对颅内动脉狭窄分数流动的影响

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Background: Computational fluid dynamics (CFD) allows noninvasive fractional flow (FF) computation in intracranial arterial stenosis. Removal of small artery branches is necessary in CFD simulation. The consequent effects on FF value needs to be judged. Methods: An idealized vascular model was built with 70% focal luminal stenosis. A branch with one third or one half of the radius of the parent vessel was added at a distance of 5, 10, 15 and 20 mm to the lesion. With pressure and flow rate applied as inlet and outlet boundary conditions, CFD simulations were performed. Flow distribution at bifurcations followed Murray's law. By includ-ing or removing side branches, five patient-specific intracranial artery models were simulated. Transient simulation was performed on a patient-specific model, with a larger branch for validation. Branching effect was considered trivial if the FF difference between paired models (branches included or removed) was within 5%. Results: Compared with the control model without a branch, in all idealized models the relative differences of FF was within 2%. In five pairs of cerebral arteries (branches included/removed), FFs were 0.876 and 0.877, 0.853 and 0.858, 0.874 and 0.869, 0.865 and 0.858, 0.952 and 0.948. The relative difference in each pair was less than 1%. In transient model, the relative difference of FF was 3.5%. Conclusion: The impact of removing side branches with radius less than 50% of the parent vessel on FF measurement accuracy is negligible in static CFD simulations, and minor in transient CFD simulation.
机译:背景:计算流体动力学(CFD)允许在颅内动脉狭窄中进行非侵入性分数流(FF)计算。在CFD模拟中需要去除小动脉分支。需要判断对FF值的影响。方法:采用70%局灶性腔狭窄构建了理想化的血管模型。在5,10,15和20mm至病变的距离下加入具有母体血管半径的三分之一或一半的分支。随着入口和出口边界条件施加的压力和流速,CFD模拟进行了CFD模拟。分叉流动分布遵循默里的法律。通过包括或除去侧枝,模拟了五种患者特异性颅内动脉模型。在特定于患者特定模型中进行瞬态仿真,具有较大的分支进行验证。如果配对模型(包括或移除的分支)之间的FF差异在5%以内,则分支效果被认为是微不足道的。结果:与没有分支的控制模型相比,在所有理想模型中,FF的相对差异在2%以内。在五对脑动脉(包括/取出的分支)中,FF为0.876和0.877,0.853和0.858,0.874和0.869,0.865和0.858,0.952和0.948。每对的相对差异小于1%。在瞬态模型中,FF的相对差异为3.5%。结论:在静态CFD仿真中除去侧枝的半径小于50%的父船的副分支的影响可忽略不计,并且在瞬态CFD仿真中轻微。

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