CDI Type-II: Collaborative Research: From Ion Channels to Blood Flow and Heart Sounds: A New Paradigm in Cyber-Enabled Multiphysical Analysis of Heart Function
CDI Type-II: Collaborative Research: From Ion Channels to Blood Flow and Heart Sounds: A New Paradigm in Cyber-Enabled Multiphysical Analysis of Heart Function
批准号:
1124804
负责人:
Rajat Mittal
金额:
$145.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-09-15 至 2016-08-31
中文摘要
拟议研究的概念前提是,将新的建模和计算方法整合到心功能分析中,将使在不太遥远的将来开发出用于表征心功能的变革性模拟引导分析工具。该项目的目标是开发在大型、不同种类的计算机系统上高效运行的正常和异常心脏的多物理模型。这项研究的重点将是将这些计算工具应用于健康的心脏,以及那些患有心律失常或其他疾病的心脏。这项工作的一个新方面包括直接计算心音,这应该会显着促进舒张期功能障碍的非侵入性诊断。除了心脏功能和心脏病,这项研究的影响还延伸到计算生物物理学、生物力学、计算机工程和流体力学以及其他器官系统。这项研究将产生一系列集成的仿真工具,用于正常和疾病心脏的机电/血流动力学建模,并将通过有效的数据管理提供给更广泛的社区。对学生和博士后的研究培训将有助于培养能够跨学科边界应用计算思维的新一代科学家和工程师。个人投资计划对教育的影响?将通过将研究转化为新的和现有的课程来加强大学;将通过有计划的高中和以少数群体为重点的外联活动来实现在私人投资机构之外的影响。
英文摘要
The conceptual premise of the proposed research is that integrating new modeling and computational approaches into the analysis of heart function will enable the development of transformative simulation-guided analytical tools for characterizing heart function in the not-too-distant future. The goal of the project is to develop multi-physics models of ventricles in normal and abnormal hearts that run efficiently on large-scale, heterogeneous computer systems. The research will focus on applying these computational tools to healthy hearts and also to those with arrhythmia or other disorders. One novel aspect of the work incorporates the direct computation of heart sounds which should significantly advance non-invasive diagnosis of diastolic dysfunction. Beyond cardiac function and heart disease, the impact of the research extends to the areas of computational biophysics, biomechanics, computer engineering and fluid mechanics, as well as to other organ systems. The research will produce an integrated array of simulation tools for electromechanical/hemodynamical modeling in normal and diseased hearts that will be made available to the broader community though effective data management. Research training of students and postdocs will contribute to a new generation of scientists and engineers who can apply computational thinking across disciplinary boundaries. Educational impact within the PIs? universities will be enhanced by translating the research into new and existing courses; impact outside the PIs institutions will be achieved via planned high-school and minority-focused outreach activities.
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