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使用数值模拟识别深静脉血栓形成疾病。

Identification of DVT diseases using numerical simulations.

作者信息

Simão M, Ferreira J M, Mora-Rodriguez J, Ramos H M

机构信息

Department of Civil Engineering, Architecture and Georesources (DECivil), Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal.

Faculty of Medicine, Academic Medical Center of Lisbon Hospital Sta. Maria, Universidade de Lisboa, Lisbon, Portugal.

出版信息

Med Biol Eng Comput. 2016 Oct;54(10):1591-609. doi: 10.1007/s11517-015-1446-9. Epub 2016 Jan 16.

DOI:10.1007/s11517-015-1446-9
PMID:26780462
Abstract

This research provides useful insights for better diagnosis and understanding the vein blockage induced by a deep venous thrombosis and the occurrence of reverse flow in human veins, allowing a proper detection of serious diseases related to deep venous insufficiency. An arbitrary Lagrangian-Eulerian formulation is used in a coupled model (i.e. fluid and structure equations solved together), considering two domains, specifically the blood flow and the flexible structures (i.e. vein and valves). Computational fluid dynamics mathematical model based on finite element method, with special elements and boundary characterization, is addressed to find the best solution. This research presents a novel model to study the interaction between non-Newtonian laminar fluid flows, the blood, within nonlinear structures, the vein walls. Simulation results are validated using in vivo echo-Doppler measurements.

摘要

本研究为更好地诊断和理解深静脉血栓形成引起的静脉阻塞以及人体静脉中逆流的发生提供了有用的见解,有助于正确检测与深静脉功能不全相关的严重疾病。在一个耦合模型(即同时求解流体和结构方程)中采用了任意拉格朗日-欧拉公式,该模型考虑了两个域,具体为血流和柔性结构(即静脉和瓣膜)。基于有限元方法的计算流体动力学数学模型,通过特殊单元和边界特征来寻找最佳解决方案。本研究提出了一种新颖的模型,用于研究非牛顿层流流体(血液)在非线性结构(静脉壁)中的相互作用。使用体内回声多普勒测量对模拟结果进行了验证。

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