Integration of Uncertainty Quantification with SCIRun Bioelectric Field Simulation Pipeline

项目摘要 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 建立了生物医学仿真软件框架SCIRun。就像生物电模拟一样 模型在表示物理过程和几何图形方面变得越来越准确，因此 此外，理解无知带来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，这个项目的成功代表着 现代UQ技术中折叠技术的最早发展之一，成为广泛使用的、免费获得的 用于模拟心脏和大脑中的生物电场的软件流水线。成功 将成熟和成熟的UQ工具整合到SCIRun中将大大提高实用程序 基于模拟的生物医学预测在医疗实践中的应用。尽管在这方面有需要 对于这类工具的研究社区，用户的数量和性质都使其商业化 发展的可能性很小。目前还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，但它们高昂的智力成本和有限的市场使它们无法使用 远远低于商业软件的门槛。

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.