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）， 计算科学和数学社区，并将其纳入 建立了生物医学仿真软件框架SCIRun。就像生物电模拟 模型在表示物理过程和几何形状方面变得越来越准确， 了解无知所带来的不确定性也变得越来越重要 模型参数的精确值。据我们所知，这个项目的成功代表着 折叠的第一个发展之一，在现代UQ技术到广泛使用，免费提供 用于模拟心脏和大脑应用中的生物电场的软件管道。成功 将已建立并经过验证的用户质量工具纳入SCIRun，将大大提高其效用 在医学实践中基于模拟的生物医学预测。虽然有必要在 研究社区的这种工具，用户的数量和性质，使商业 发展不太可能。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，但它们的高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.