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Multi-modality image-based computational analysis of haemodynamics in aortic dissection

机译:基于多模态图像的主动脉夹层血流动力学计算分析

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Aortic dissection is a disease whereby an injury in the wall of the aorta leads to the creation of a true lumen and a false lumen separated by an intimal flap which may contain multiple communicating tears between the lumina. It has a high associated morbidity and mortality, but at present, the timing of surgical intervention for stable type B dissections remains an area of debate. Detailed knowledge of haemodynamics may yield greater insight into the long-term outcomes for dissection patients by providing a greater understanding of pressures, wall shear stress and velocities in and around the dissection. In this paper, we aim to gather further insight into the complex haemodynamics in aortic dissection using medical imaging and computational fluid dynamics modelling. Towards this end, several computer models of the aorta of a patient presenting with an acute Stanford type B dissection were created whereby morphometric parameters related to the dissection septum were altered, such as removal of the septum, and the variation of the number of connecting tears between the lumina. Patient-specific flow data acquired using 2D PC-MRI in the ascending aorta were used to set the inflow boundary condition. Coupled zero-dimensional (Windkessel) models representing the distal vasculature were used to define the outlet boundary conditions and tuned to match 2D PC-MRI flow data acquired in the descending aorta. Haemodynamics in the dissected aorta were compared to those in an equivalent 'healthy aorta', created by virtually removing the intimal flap (septum). Local regions of increased velocity, pressure, wall shear stress and alterations in flow distribution were noted, particularly in the narrow true lumen and around the primary entry tear. The computed flow patterns compared favourably with those obtained using 4D PC-MRI. A lumped-parameter heart model was subsequently used to show that in this case there was an estimated 14 % increase in left ventricular stroke work with the onset of dissection. Finally, the effect of secondary connecting tears (i.e. those excluding the primary entry and exit tears) was also studied, revealing significant haemodynamic changes when no secondary tears are included in the model, particularly in the true lumen where increases in flow over and drops in peak pressure of 18 % were observed.
机译:主动脉夹层是一种疾病,在这种疾病中,主动脉壁的损伤导致形成内腔皮瓣分隔的真管腔和假管腔,内膜瓣可能在管腔之间包含多个连通的泪液。它具有较高的发病率和死亡率,但是目前,对于稳定的B型夹层进行手术干预的时机仍然是一个有争议的领域。血液动力学的详细知识可通过对解剖过程中及其周围的压力,壁切应力和速度有更深入的了解,从而对解剖患者的长期结果有更深入的了解。在本文中,我们旨在利用医学影像学和计算流体力学建模进一步深入了解主动脉夹层的复杂血液动力学。为此,创建了患有急性斯坦福B型夹层的患者主动脉的几种计算机模型,从而改变了与夹层隔膜相关的形态学参数,例如隔膜的去除以及连接泪液数量的变化在明灯之间。使用2D PC-MRI在升主动脉中采集的患者特定流量数据来设置流入边界条件。代表远端脉管系统的耦合零维(Windkessel)模型用于定义出口边界条件,并进行调整以匹配在降主动脉中获取的2D PC-MRI流数据。将解剖主动脉的血流动力学与等效“健康主动脉”的血流动力学进行比较,后者实际上是通过切除内膜瓣(中隔)而产生的。注意到了速度,压力,壁剪应力和流量分布变化的局部区域,特别是在狭窄的真管腔内和主要入口撕裂附近。计算出的流动模式与使用4D PC-MRI获得的流动模式相比具有优势。随后使用集总参数心脏模型来表明,在这种情况下,随着解剖的开始,左心室卒中工作估计增加了14%。最后,还研究了次级连接眼泪(即不包括初级入口眼泪和出口眼泪)的影响,发现当模型中不包含次级眼泪时,尤其是在流率增加而血流下降的真腔中,血液动力学变化显着。观察到峰值压力为18%。

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