CDI Type II/Collaborative Research: A New Approach to the Modeling of Clot Formation and Lysis in Arteries

CDI II 型/合作研究：动脉血栓形成和溶解建模的新方法

• 批准号: 1028112
• 负责人: Xiaodong Wang
• 金额: $ 9.78万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-10-01 至 2014-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1028112&HistoricalAwards=false
• 关键词: CDI; Type; II; Collaborative; Research

Acute cardiac syndrome (ACS) due to arterial thrombosis is a leading cause of death in the US. There is a clear need to develop methods for quantitative risk assessment and analysis of ACS. However, due to inadequate, imperfect and uncertain knowledge regarding the various parameters that control arterial thrombosis, such methods do not exist. Given current incomplete knowledge, the proposed approach seeks to develop efficient simulation techniques to gain insight into thrombogenesis and to make probabilistic predictions of outcomes such as the probability of clot formation over specific time intervals. Coupling continuum mechanics to ideas from estimation theory and statistical signal processing the PIs will develop models whose parameters are random variables that allows for the incorporation of variability of parameters in the modeling stage itself. By ensuring that the continuum models have the structure of Hidden Markov Models (HMMs) it is possible to use the powerful tools of estimation theory to find probability distributions for the hidden variables from experimental measurements. In order to simulate the biochemistry of clotting and its complex interaction with blood flow and artery deformation, and to carry out risk analysis, the PIs will use parallelizable computational algorithms for the simulations. The PIs plan to replace the usual discrete approximation of the traditional balance laws of mechanics with highly parallelizable stochastic or ?probability flow? based simulation techniques. Disorders of coagulation and bleeding are of substantial clinical importance. Such conditions including ACS, myocardial infarction, pulmonary embolus, deep vein thrombosis and hemorrhagic disorders, amongst others are major contributors to mortality in the western world. The proposed research will provide an understanding of the processes of coagulation and bleeding and has the potential to have a tremendous impact on a variety of blood disorders. The proposed work is transformative in that it will meld together ideas from various scientific communities from biomedicine and biomechanics, mathematics, statistics and probability theory, estimation theory and signal processing, and has the potential to have significant impact on numerous scientific communities. As the researchers have a substantial track record in educational innovations the proposed research will also have salutary effect on educational aspects.

急性心脏综合征（ACS）由于动脉血栓形成是美国死亡的主要原因。显然需要开发用于定量风险评估和ACS分析的方法。但是，由于对控制动脉血栓形成的各种参数不足，不完美和不确定的知识，这种方法不存在。鉴于当前的不完整知识，提出的方法试图开发有效的仿真技术，以深入了解血栓形成并对结果进行概率预测，例如凝块形成在特定时间间隔上的概率。 将连续力学耦合到估计理论和统计信号处理中的思想，PI将开发其参数是随机变量的模型，该变量允许在建模阶段本身中纳入参数的可变性。通过确保连续模型具有隐藏的马尔可夫模型（HMM）的结构，可以使用强大的估计理论工具来从实验测量中找到隐藏变量的概率分布。为了模拟凝结的生物化学及其与血流和动脉变形的复杂相互作用，并进行风险分析，PIS将使用可行的计算算法进行模拟。 PIS计划用高度可行的随机或概率流量替代传统机械平衡定律的通常离散近似？基于仿真技术。 凝血和出血的疾病具有重要的临床重要性。这样的疾病，包括ACS，心肌梗塞，肺栓塞，深静脉血栓形成和出血性疾病，等等是西方世界死亡率的主要因素。拟议的研究将对凝血和出血的过程提供理解，并有可能对各种血液疾病产生巨大影响。拟议的工作具有变革性，因为它将从生物医学和生物力学，数学，统计和概率理论，估计理论和信号处理的各个科学界的思想融合在一起，并有可能对许多科学社区产生重大影响。 随着研究人员在教育创新方面具有巨大的往绩，拟议的研究还将对教育方面产生有益的影响。