Integration of Uncertainty Quantification with SCIRun Bioelectric Field Simulation Pipeline

不确定性量化与 SCIRun 生物电场模拟流程的集成

• 批准号: 10406132
• 负责人: Rob S. MacLeod
• 金额: $ 22.35万
• 依托单位: UNIVERSITY OF UTAH
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-17 至 2022-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10406132
• 关键词: Address; Award; Biomedical Computing; Biomedical Research; Brain; Client; Cloud Computing; Code; Collaborations; Communities; Computational Science; Computer Simulation; Computer software; Coupled; Data Science; Development; Disease; Elements; Environment; Funding; Geometry; Goals; Grant; Health; Heart; Image; Industry; Institutes; Knowledge; Link; Mathematics; Medical; Methods; Mission; Modeling; Modernization; Nature; Parents; Phase; Physicians; Problem Solving; Process; Pythons; Readiness; Recording of previous events; Registries; Research; Resources; Science; Scientist; Software Engineering; Software Framework; Software Tools; Strategic Planning; System; Technical Expertise; Techniques; Uncertainty; United States National Institutes of Health; base; bioelectricity; biomedical scientist; clinical practice; cloud based; computing resources; cost; design; improved; interoperability; knowledge base; light weight; mathematical methods; models and simulation; open source; parent project; physical process; predictive modeling; prototype; research and development; scientific computing; simulation; simulation environment; simulation software; software development; software systems; stem; success; tool; web-enabled; Address; Award; Biomedical Computing; Biomedical Research; Brain; Client; Cloud Computing; Code; Collaborations; Communities; Computational Science; Computer Simulation; Computer software; Coupled; Data Science; Development; Disease; Elements; Environment; Funding; Geometry; Goals; Grant; Health; Heart; Image; Industry; Institutes; Knowledge; Link; Mathematics; Medical; Methods; Mission; Modeling; Modernization; Nature; Parents; Phase; Physicians; Problem Solving; Process; Pythons; Readiness; Recording of previous events; Registries; Research; Resources; Science; Scientist; Software Engineering; Software Framework; Software Tools; Strategic Planning; System; Technical Expertise; Techniques; Uncertainty; United States National Institutes of Health; base; bioelectricity; biomedical scientist; clinical practice; cloud based; computing resources; cost; design; improved; interoperability; knowledge base; light weight; mathematical methods; models and simulation; open source; parent project; physical process; predictive modeling; prototype; research and development; scientific computing; simulation; simulation environment; simulation software; software development; software systems; stem; success; tool; web-enabled

Project Summary This project harnesses mature and modern techniques for uncertainty quantification (UQ) from the computational science and mathematics communities and incorporates them into the established biomedical simulation software framework SCIRun. Just as bioelectric simulation models have become increasingly accurate at representing physical processes and geometry, so also has it become increasingly important to understand the uncertainty stemming from ignorance about precise values of model parameters. To our knowledge, success of this project represents one of the first developments of folding in modern UQ techniques into widely used, freely available software pipelines for simulation of bioelectric fields in heart and brain applications. Successful incorporation of established and proven UQ tools into SCIRun will substantially increase the utility of simulation based biomedical predictions in medical practice. Although there is a need in the research community for such tools, the number and nature of users makes commercial development very unlikely. There are no commercial tools specifically for bioelectric field modeling and while some industry uses these tools, their high intellectual cost and limited market keep them well below the threshold for commercial software.

项目摘要 该项目利用不确定性量化（UQ）的成熟和现代技术 计算科学和数学社区，并将其纳入 已建立的生物医学模拟软件框架Scirun。就像生物电模拟一样 模型在表示物理过程和几何形状方面变得越来越准确，因此 了解无知引起的不确定性也越来越重要 关于模型参数的精确值。据我们所知，该项目的成功代表 现代UQ技术中折叠式折叠的最初发展之一，可自由使用 用于模拟心脏和大脑应用中生物电场的软件管道。成功的 将已建立和已验证的UQ工具纳入Scirun将大大提高公用事业 医学实践中基于模拟的生物医学预测。虽然需要 研究社区的此类工具，用户的数量和性质使商业 发展非常不可能。没有专门用于生物电场建模的商业工具 尽管某些行业使用这些工具，但它们的高知识成本和有限的市场使它们保持 远低于商业软件的阈值。