Computer assisted analysis and prediction of the haemodynamic outcome of treatment strategies in congenital heart diseases

该项目的目标是进一步开发基于图像的建模方法，以改进先天性心脏病(CHD)个性化治疗策略的电子测试。该项目的重点是集中参数模型支持的计算流体动力学(CFD)。在第一个项目阶段开发的模型和方法的基础上，我们将把我们的研究扩展到临床可用性，以便使它们在患者护理中有用。基于心脏成像的计算机建模有可能提前模拟各种治疗程序的应用。由于根据目前的CHD指南作出的治疗决定通常完全基于压力值或专家意见，因此计算机建模具有个性化治疗和预测性测试的潜力。该项目的具体目标是开发基于图像的建模方法，用于a)分别通过支架或瓣膜替换/修复来模拟(在计算机上测试)主动脉缩窄和/或二尖瓣狭窄的治疗概念，b)使用降阶模型(0D/1D)预测不同治疗策略后的血流动力学变化，以及c)预测静息和应激期间血流动力学状况的变化(药物应激)。这些方法将被开发出来，并用临床实际数据进行验证。

The projects objective is to further develop image based modeling methods for improved in-silico testing of personalized therapy strategies in congenital heart disease (CHD). The focus of the project is computational fluid dynamics (CFD) supported by a lumped parameter modelling. Based on the models and methods developed in the first project phase we will extend our research towards clinical usability in order to make them usable in patient care. Computer modeling based on cardiac imaging has the potential to simulate the application of various treatment procedures in advance. Since therapeutic decisions according to current CHD guidelines are often solely based on pressure values or expert opinion, computer modeling has the potential for individualized therapy and predictive testing. The specific objectives of the project are the development of image based modelling methods for a) simulation (in-silico test) of treatment concepts of aortic coarctation and/or bicuspid aortic valves with stents or by valve replacement/repair, respectively, b) prognosis of hemodynamic changes after different treatment strategies using reduced order models (0D/1D) and c) predict changes of hemodynamic conditions at rest and during stress (pharmacological stress). The methods will be developed and validated with clinical real-life data.