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从严重狭窄下游的 4D 流磁共振成像准确估计壁切应力。

Toward an accurate estimation of wall shear stress from 4D flow magnetic resonance downstream of a severe stenosis.

机构信息

Institute of Environmental Engineering, ETH Zurich, Zurich, Switzerland.

ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland.

出版信息

Magn Reson Med. 2021 Sep;86(3):1531-1543. doi: 10.1002/mrm.28795. Epub 2021 Apr 29.

DOI:10.1002/mrm.28795
PMID:33914962
Abstract

PURPOSE

First, to investigate the agreement between velocity, velocity gradient, and Reynolds stress obtained from four-dimensional flow magnetic resonance (4D flow MRI) measurements and direct numerical simulation (DNS). Second, to propose and optimize based on DNS, 2 alternative methods for the accurate estimation of wall shear stress (WSS) when the resolution of the flow measurements is limited. Thirdly, to validate the 2 methods based on 4D flow MRI data.

METHODS

In vitro 4D MRI has been conducted in a realistic rigid stenosed aorta model under a constant flow rate of 12 L/min. A DNS of transitional stenotic flow has been performed using the same geometry and boundary conditions.

RESULTS

Time-averaged velocity and Reynolds stresses are in good agreement between in vitro 4D MRI data and DNS (errors between 2% and 8% of the reference downsampled data). WSS estimation based on the 2 proposed methods applied to MRI data provide good agreement with DNS for slice-averaged values (maximum error is less than 15% of the mean reference WSS for the first method and 25% for the second method). The performance of both models is not strongly sensitive to spatial resolution up to 1.5 mm voxel size. While the performance of model 1 deteriorates appreciably at low signal-to-noise ratios, model 2 remains robust.

CONCLUSIONS

The 2 methods for WSS magnitude give an overall better agreement than the standard approach used in the literature based on direct calculation of the velocity gradient close to the wall (relative error of 84%).

摘要

目的

首先,研究从四维流磁共振(4D flow MRI)测量和直接数值模拟(DNS)获得的速度、速度梯度和雷诺应力之间的一致性。其次,基于 DNS 提出并优化 2 种替代方法,用于准确估计当流测量分辨率有限时的壁面剪切应力(WSS)。第三,基于 4D flow MRI 数据验证这 2 种方法。

方法

在恒定流量为 12 L/min 的情况下,在真实刚性狭窄主动脉模型中进行了体外 4D MRI。使用相同的几何形状和边界条件对过渡性狭窄流进行了 DNS。

结果

体外 4D MRI 数据和 DNS 之间的时均速度和雷诺应力具有良好的一致性(误差在参考下采样数据的 2%到 8%之间)。基于这 2 种提出的方法应用于 MRI 数据的 WSS 估计与 DNS 提供了良好的一致性,用于切片平均值(对于第一种方法,最大误差小于参考平均 WSS 的 15%,对于第二种方法,最大误差小于 25%)。两种模型的性能对空间分辨率的要求不高,最高可达 1.5 毫米体素大小。虽然模型 1 在低信噪比下的性能明显恶化,但模型 2 仍然稳健。

结论

这 2 种 WSS 幅度的方法比文献中基于接近壁面的速度梯度的直接计算的标准方法具有更好的整体一致性(相对误差为 84%)。

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Magn Reson Med. 2021 Sep;86(3):1531-1543. doi: 10.1002/mrm.28795. Epub 2021 Apr 29.
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