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.

项目总结

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