Cebral Juan R, Putman Christopher M, Alley Marcus T, Hope Thomas, Bammer Roland, Calamante Fernando
Center for Computational Fluid Dynamics, George Mason University, Fairfax, Virginia, USA.
J Eng Math. 2009 Aug 1;64(4):367-378. doi: 10.1007/s10665-009-9266-2.
Detailed knowledge of the hemodynamic conditions in normal cerebral arteries is important for a better understanding of the underlying mechanisms leading to the initiation and progression of cerebrovascular diseases. Information about the baseline values of hemodynamic variables such as wall shear stresses is necessary for comparison to pathological conditions such as in cerebral aneurysms or arterial stenoses. The purpose of this study was to compare the blood flow patterns in cerebral arteries of normal subjects determined by 4D phase-contrast magnetic resonance and image-based computational fluid dynamics techniques in order to assess their consistency and to highlight their differences. The goal was not to validate (or disprove) any of the two methodologies but rather to identify regions where disagreements are to be expected and to provide guidance when interpreting the data produced by each technique.
深入了解正常脑动脉的血流动力学状况对于更好地理解导致脑血管疾病发生和发展的潜在机制至关重要。诸如壁面剪应力等血流动力学变量的基线值信息对于与诸如脑动脉瘤或动脉狭窄等病理状况进行比较是必要的。本研究的目的是比较通过四维相位对比磁共振成像和基于图像的计算流体动力学技术确定的正常受试者脑动脉中的血流模式，以评估它们的一致性并突出它们的差异。目标不是验证（或反驳）这两种方法中的任何一种，而是识别预期会存在分歧的区域，并在解释每种技术产生的数据时提供指导。
