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Microvascular Flow Modeling using In Vivo Hemodynamic Measurements in Reconstructed 3D Capillary Networks

机译:重建3D毛细管网络中的体内血流动力学测量微血管流量模拟

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摘要

We describe a systematic approach to modeling blood flow using reconstructed capillary networks and in vivo hemodynamic measurements. Our objective was to produce flow solutions that represent convective O2 delivery in vivo. Two capillary networks, I & II, (84×168×342 & 70×157×268 μm3) were mapped using custom software. Total network red blood cell supply rate (SR) was calculated from in vivo data and used as a target metric for the flow model. To obtain inlet hematocrits, mass balances were applied recursively from downstream vessels. Pressure differences across the networks were adjusted to achieve target SR. Baseline flow solutions were used as inputs to existing O2 transport models. To test the impact of flow redistribution, asymmetric flow solutions (Asym) were generated by applying a ±20% pressure change to network outlets. Asym solutions produced a mean absolute difference in SR per capillary of 27.6 ± 33.3% in network I & 33.2 ± 40.1% in network II vs. baseline. The O2 transport model calculated mean tissue PO2 of 28.2 ± 4.8 & 28.1 ± 3.5 mmHg for baseline and 27.6 ± 5.2 & 27.7 ± 3.7 mmHg for Asym. This illustrates that moderate changes in flow distribution within a capillary network have little impact on tissue PO2 provided that total SR remains unchanged.
机译:我们描述了一种使用重建的毛细管网络和体内血液动力学测量方法对血流建模的系统方法。我们的目标是生产代表体内对流O2输送的流动解决方案。使用定制软件绘制了两个毛细管网络I和II(84×168×342和70×157×268μm 3 )。根据体内数据计算总网络红细胞供应率(SR),并将其用作血流模型的目标指标。为了获得入口血细胞比容,从下游血管递归应用质量平衡。调整网络上的压力差以实现目标SR。基线流量解决方案被用作现有O2传输模型的输入。为了测试流量重新分配的影响,通过对网络出口施加±20%的压力变化来生成非对称流量解决方案(Asym)。与基线相比,非对称溶液在网络I中的每个毛细管的SR平均绝对差为27.6±33.3%,在网络II中为33.2±40.1%。 O2传输模型计算得出的平均组织PO2(基线)为28.2±4.8和28.1±3.5 mmHg,而Asym为27.6±5.2和27.7±3.7 mmHg。这说明只要总SR保持不变,毛细管网络内流量分布的适度变化对组织PO2的影响很小。

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