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

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.

项目概要 该项目利用成熟的现代技术进行不确定性量化（UQ） 计算科学和数学界并将它们纳入 建立了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 理解因无知而产生的不确定性也变得越来越重要 关于模型参数的精确值。据我们所知，该项目的成功代表 将现代昆士兰大学技术融入广泛使用、免费提供的最早发展之一 用于模拟心脏和大脑应用中生物电场的软件管道。成功的 将成熟且经过验证的昆士兰大学工具纳入 SCIRun 将大大提高实用性 医学实践中基于模拟的生物医学预测。虽然有必要在 对于此类工具的研究社区，用户的数量和性质使得商业 发展的可能性很小。没有专门用于生物电场建模的商业工具 虽然一些行业使用这些工具，但其高昂的智力成本和有限的市场使它们无法继续使用。 远低于商业软件的门槛。

项目成果

On the Computation of Recurrence Coefficients for Univariate Orthogonal Polynomials

• DOI: 10.1007/s10915-021-01586-w
• 发表时间: 2021-09-01
• 期刊: JOURNAL OF SCIENTIFIC COMPUTING
• 影响因子: 2.5
• 作者: Liu, Zexin;Narayan, Akil
• 通讯作者: Narayan, Akil