Multiscale Computational Modeling of Platelet Deposition and Coagulation in Flow

流动中血小板沉积和凝固的多尺度计算模型

• 批准号: 7927113
• 负责人: AARON L FOGELSON
• 金额: $ 31.83万
• 依托单位: UNIVERSITY OF UTAH
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-05 至 2013-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7927113
• 关键词: Arts; Biology; Biomedical Engineering; Blood Clot; Blood Platelets; Blood Vessels; Blood coagulation; Caliber; Characteristics; Chemicals; Chemistry; Coagulation Process; Complex; Computer Simulation; Computing Methodologies; Confocal Microscopy; Data; Deposition; Development; Event; Goals; Illinois; Institutes; Lead; Life; Medical Device; Modeling; Modification; Myocardial Infarction; Performance; Perfusion; Scientist; Simulate; Stroke; System; Technology; Thrombosis; Thrombus; Validation; Work; arteriole; design; improved; innovation; parallel computing; prevent; public health relevance; research study; venule

DESCRIPTION (provided by applicant): The long term goal of this project is to develop state of the art computational models of thrombosis in order to explore how physical and chemical factors interact to determine its progression. An integral component of the developmental work will be the experimental validation of the models using well-established perfusion systems and confocal microscopy for determining the characteristics of thrombus deposition. Specifically, 3D computational models of i) platelet mural thrombosis in small diameter blood vessels (arterioles), and ii) combined platelet thrombosis and coagulation in small vessels (arterioles and venules) will be developed. The models will be designed to take full advantage of high performance parallel computing capabilities as well as innovative mathematical and computational methods and will permit exploration of the complex, dynamic, and multiscale interplay between flow, chemistry and vascular biology in thrombosis. Through a Consortium arrangement with Dr. Vincent Turitto and his thrombosis group at the Illinois Institute of Technology, experiments will be conducted to provide the necessary experimental data. Modification of the models will occur through close interaction between the computational and experimental groups, and with the assistance of an Advisory Group of thrombosis experts. The project thus brings together a unique cross-disciplinary team of mathematicians, computational scientists, biomedical engineers and life scientists in a well integrated computational and experimental effort to understand intravascular thrombosis and to develop reliable models for predicting the course of thrombotic events that can help in designing improved medical devices and therapies to prevent and treat thrombosis. PUBLIC HEALTH RELEVANCE: The project seeks to develop and validate computational models to simulate blood clotting inside of blood vessels. These models will be used to increase our understanding of the formation of intravascular blood clots including those that cause heart attack and stroke and improved understanding may lead to improved treatment.

描述（由申请人提供）：该项目的长期目标是开发血栓形成的最先进的计算模型，以探讨物理和化学因子如何相互作用以确定其进展。发展工作的一个组成部分将是使用良好的灌注系统和共聚焦显微镜对模型进行实验验证，以确定血栓沉积的特征。具体而言，将开发出小血管（小动脉和静脉）中的小直径血管（小动脉）中的3D计算模型。这些模型将旨在充分利用高性能并行计算能力以及创新的数学和计算方法，并允许探索血栓形成流动，化学和血管生物学之间的复杂，动态和多尺度相互作用。通过与伊利诺伊理工学院的Vincent Turitto博士及其血栓形成小组的联盟安排，将进行实验以提供必要的实验数据。模型的修改将通过计算组和实验组之间的密切相互作用以及在血栓形成专家的咨询组的帮助下进行。因此，该项目汇集了一个独特的数学家，计算科学家，生物医学工程师和生活科学家的独特跨学科团队，以一项融合的计算和实验性努力，以了解血管内血栓形成，并开发可靠的模型，以预测血栓形成的事件，这些模型可以帮助您帮助您提供帮助。设计改进的医疗设备和疗法，以预防和治疗血栓形成。公共卫生相关性：该项目旨在开发和验证计算模型，以模拟血管内部的血液凝结。这些模型将用于增加我们对血管内血凝块形成的理解，包括引起心脏病发作和中风和改善理解的人的理解可能会改善治疗。