Suppr超能文献

基于 cine MRI 数据校准的 Robin 条件的颈动脉斑块建模的替代模型。

A surrogate model for plaque modeling in carotids based on Robin conditions calibrated by cine MRI data.

机构信息

MOX, Department of Mathematics, Politecnico di Milano, Milan, Italy.

Department of Clinical Sciences and Community Health, Università di Milano, Milan, Italy.

出版信息

Int J Numer Method Biomed Eng. 2021 May;37(5):e3447. doi: 10.1002/cnm.3447. Epub 2021 Feb 25.

Abstract

We propose a surrogate model for the fluid-structure interaction (FSI) problem for the study of blood dynamics in carotid arteries in presence of plaque. This is based on the integration of a numerical model with subject-specific data and clinical imaging. We propose to model the plaque as part of the tissues surrounding the vessel wall through the application of an elastic support boundary condition. In order to characterize the plaque and other surrounding tissues, such as the close-by jugular vein, the elastic parameters of the boundary condition were spatially differentiated and their values were estimated by minimizing the discrepancies between computed vessel displacements and reference values obtained from CINE Magnetic Resonance Imaging data. We applied the model to three subjects with a degree of stenosis greater than 70%. We found that accounting for both plaque and jugular vein in the estimation of the elastic parameters increases the accuracy. In particular, in all patients, mismatches between computed and in vivo measured wall displacements were one to two orders of magnitude lower than the spatial resolution of the original MRI data. These results confirmed the validity of the proposed surrogate plaque model. We also compared fluid-dynamics results with those obtained in a fixed wall setting and in a full FSI model, used as gold standard, highlighting the better accordance of our results in comparison to the rigid ones.

摘要

我们提出了一种用于研究颈动脉斑块中血流动力学的流固耦合(FSI)问题的替代模型。该模型基于数值模型与特定于患者的数据和临床成像的集成。我们通过应用弹性支撑边界条件来模拟斑块作为血管壁周围组织的一部分。为了描述斑块和其他周围组织(如附近的颈静脉),我们对边界条件的弹性参数进行了空间区分,并通过最小化计算得到的血管位移与从 Cine MRI 数据获得的参考值之间的差异来估计其值。我们将该模型应用于三位狭窄程度大于 70%的患者。我们发现,在弹性参数的估计中同时考虑斑块和颈静脉可以提高准确性。特别是在所有患者中,计算得到的壁位移与体内测量得到的壁位移之间的不匹配程度比原始 MRI 数据的空间分辨率低一个到两个数量级。这些结果证实了所提出的替代斑块模型的有效性。我们还将流体动力学结果与固定壁设置和作为金标准的全 FSI 模型的结果进行了比较,突出了与刚性模型相比,我们的结果具有更好的一致性。

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