Xu X Y, Long Q, Collins M W, Bourne M, Griffith T M
Department of Chemical Engineering and Chemical Technology, Imperial College of Science, Technology and Medicine, London, UK.
Proc Inst Mech Eng H. 1999;213(5):411-21. doi: 10.1243/0954411991535022.
Local haemodynamic factors in large arteries are associated with the pathophysiology of cardiovascular diseases such as atherosclerosis and strokes. In search of these factors and their correlation with atheroma formation, quantitative haemodynamic data in realistic arterial geometry become crucial. At present no in vivo non-invasive technique is available that can provide accurate measurement of three-dimensional blood velocities and shear stresses in curved and branching sites of vessels where atherosclerotic plaques are found frequently. This paper presents a computer modelling technique which combines state-of-the-art computational fluid dynamics (CFD) with new noninvasive magnetic resonance imaging techniques to provide the complete haemodynamic data in 'real' arterial geometries. Using magnetic resonance angiographic and velocity images acquired from the aortic bifurcation of a healthy human subject, CFD simulations have been carried out and the predicted flow patterns demonstrate the non-planar-type flow characteristics found in experimental studies.
大动脉中的局部血流动力学因素与动脉粥样硬化和中风等心血管疾病的病理生理学相关。为了寻找这些因素及其与动脉粥样硬化形成的相关性，在实际动脉几何结构中获取定量血流动力学数据变得至关重要。目前，尚无可用的体内非侵入性技术能够在经常发现动脉粥样硬化斑块的血管弯曲和分支部位准确测量三维血流速度和剪切应力。本文提出了一种计算机建模技术，该技术将最先进的计算流体动力学（CFD）与新的非侵入性磁共振成像技术相结合，以在“真实”动脉几何结构中提供完整的血流动力学数据。利用从健康人体受试者的主动脉分叉处获取的磁共振血管造影和速度图像，进行了CFD模拟，预测的流动模式显示出实验研究中发现的非平面型流动特征。
