In vivo validation of numerical prediction for turbulence intensity in an aortic coarctation.

In vivo validation of numerical prediction for turbulence intensity in an aortic coarctation.
复制标题

DOI:
10.1007/s10439-011-0447-6
复制
发表时间:
2012-04
影响因子:
3.8
通讯作者:
Shadden, Shawn C.
Shadden, Shawn C.
中科院分区:
工程技术2区
文献类型:
--
作者:
Arzani, Amirhossein;Dyverfeldt, Petter;Ebbers, Tino;Shadden, Shawn C.

文献摘要

参考文献

被引文献

相似文献

本文将湍流强度的数值预测与体内测量进行了比较。对一名患有主动脉缩窄再狭窄的 60 岁女性进行了磁共振成像 (MRI)。获取时间分辨三向相衬 (PC) MRI 数据以实现湍流强度估计。还进行了对比增强 MR 血管造影 (MRA) 和时间分辨 2D PCMRI 测量,以获取执行后续基于图像的计算流体动力学 (CFD) 建模所需的数据。根据 MRA 数据构建主动脉缩窄和周围脉管系统的 3D 模型,并对生理边界条件进行建模以匹配 2D PCMRI 和压力脉冲测量。随后通过数值模拟获得血流速度数据。根据所得 CFD 数据计算湍流动能 (TKE)。结果表明 TKE 的体内测量和 CFD 预测之间相对一致(误差约 10%)。由于建模和测量误差,模型 TKE 值与测量 TKE 值的差异在预期范围内。
This paper compares numerical predictions of turbulence intensity with in vivo measurement. Magnetic resonance imaging (MRI) was carried out on a 60-year-old female with a restenosed aortic coarctation. Time-resolved three-directional phase-contrast (PC) MRI data was acquired to enable turbulence intensity estimation. A contrast-enhanced MR angiography (MRA) and a time-resolved 2D PCMRI measurement were also performed to acquire data needed to perform subsequent image-based computational fluid dynamics (CFD) modeling. A 3D model of the aortic coarctation and surrounding vasculature was constructed from the MRA data, and physiologic boundary conditions were modeled to match 2D PCMRI and pressure pulse measurements. Blood flow velocity data was subsequently obtained by numerical simulation. Turbulent kinetic energy (TKE) was computed from the resulting CFD data. Results indicate relative agreement (error ≈10%) between the in vivo measurements and the CFD predictions of TKE. The discrepancies in modeled vs. measured TKE values were within expectations due to modeling and measurement errors.
DOI: 10.1016/j.cma.2009.02.012
发表时间: 2009-01-01
影响因子: 7.2
作者:
Kim, H. J.;Figueroa, C. A.;Taylor, C. A.
通讯作者: Taylor, C. A.
DOI: 10.1115/1.1992521
发表时间: 2005-10-01
影响因子: 1.7
作者:
Morris, L;Delassus, P;McGloughlin, T
通讯作者: McGloughlin, T
DOI: 10.1016/j.mri.2009.05.004
发表时间: 2009-09-01
影响因子: 2.5
作者:
Dyverfeldt, Petter;Gardhagen, Roland;Ebbers, Tino
通讯作者: Ebbers, Tino
DOI: 10.1007/s00348-008-0559-4
发表时间: 2009-02-01
影响因子: 2.4
作者:
Elkins, Christopher J.;Alley, Marcus T.;Eaton, John K.
通讯作者: Eaton, John K.
DOI: 10.1115/1.2354209
发表时间: 2006-12-01
影响因子: 1.7
作者:
Hoi, Yiemeng;Woodward, Scott H.;Meng, Hui
通讯作者: Meng, Hui