UNS: Coupled Flow-Chemistry Modeling of Thrombogensis in Human Ventricles

1511200（米塔尔）该提案的重点是使用计算来理解人类心脏中的血液流动。当心脏中的血流受到心肌梗塞的干扰时，就有可能产生导致血液凝固的条件。这项工作的新奇在于使用了计算模型，不仅考虑了血液流动，还考虑了血凝块形成的详细生物化学过程。 每年有成千上万的美国人被发现患有心肌梗塞，并可能从这项研究的结果中受益。尽管经过了几十年的研究，心室流体动力学和凝血化学之间复杂的相互作用还没有得到很好的理解。建议利用医学成像和计算流体动力学的最新发展来模拟真实心脏模型中的血流，并研究与左心室（LV）血栓形成相关的血流和化学之间的耦合。 建议使用医学成像来创建LV的模型以模拟血流。所得到的流场数据将被用来模拟对流，扩散和反应的已知是重要的凝血级联以及血小板动力学和粘附的物种。该项目的具体目标是：（1）开发LV血栓形成的耦合流动化学计算模型;（2）根据体内数据验证计算血流动力学结果;（3）研究流动介导的血栓形成机制;（4）使用模拟检查替代凝血途径和抗凝治疗的有效性。该项目将在流动化学耦合、成像到模型构建、混合（CPU-GPU）高性能计算模型、刚性耦合系统的双时间步进程序以及用于验证体内数据CFD结果的新协议方面开辟新天地。预计将开发的耦合流动-化学建模方法将推进该竞技场中的最新技术水平，该竞技场仅限于简单的固定容器几何形状和层流。

1511200(Mittal)The proposal is focused on the understanding of the flow of blood in the human heart using computations. When blood flow in the heart is disturbed by myocardial infraction, it is possible to create conditions that lead to blood clotting. The novelty of the proposed work is in the use of computational models that account not only for the flow, but also for the detailed biochemistry of clot formation. Hundreds of thousands of Americans each year are found to suffer from myocardial infraction and could potentially benefit from the results of this research.Despite many decades of research, the complex interplay between the ventricular fluid dynamics and the chemistry of coagulation is not well understood. It is proposed to take advantage of recent developments in medical imaging and computational fluid dynamics to simulate blood flow in realistic models of the heart, and to investigate the coupling between the flow and the chemistry associated with left ventricle (LV) thrombogenesis. It is proposed to use medical imaging to create a model of the LV to simulate blood flow. The resulting flow field data will be used to model the convection, diffusion and reaction of species known to be important in the coagulation cascade as well as platelet dynamics and adhesion. The specific objectives of the project are: (1) develop coupled flow-chemistry computational models of LV thrombus formation; (2) validate computational hemodynamic results against in-vivo data; (3) investigate the mechanisms of flow-mediated thrombogenesis; and (4) use simulations to examine alternate coagulation pathways and the effectiveness of anticoagulant therapies. This project will break new ground in flow-chemistry coupling, imaging-to-model construction, hybrid (CPU-GPU) high performance computing models, dual-time-stepping procedures for stiff coupled systems, and new protocols for validating CFD results from in-vivo data. The coupled flow-chemical modeling approach that will be developed is expected to advance the state-of-the-art in this arena that has been limited to simple, stationary vessel geometries and laminar flows.