Towards predictive 4D computational models for the heart

迈向心脏的预测 4D 计算模型

• 批准号: DP220103160
• 负责人: Prof Santiago Badia
• 金额: $ 28.49万
• 依托单位: Monash University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2022
• 资助国家: 澳大利亚
• 起止时间: 2022-08-09 至 2025-08-08
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP220103160
• 关键词: Towards; predictive; 4D; computational; models

This project aims to develop novel high-performance numerical algorithms for multiscale and multiphysics PDEs with dynamic interfaces, the development and analysis of a novel PDE system modelling the electromechanics of heart and torso, and the combination of these numerical techniques and models to deliver predictive tools for patient-specific simulations of the cardiac function. It involves the design and mathematical analysis of space-time variational discretisations on embedded meshes, 4D computational geometry algorithms for numerical integration and multilevel solvers. By combining scientific computing and machine learning, one anticipated outcome of this research is a new generation of nonlinear PDE approximations and solvers.

该项目旨在开发具有动态界面的多尺度和多物理PDE的新型高性能数值算法，对心脏和躯干机能建模的新型PDE系统的开发和分析，以及这些数值技术和模型的组合，以提供预测性的工具，以提供预测的Cardiac cardiac cardiac cardiac功能的患者特定模拟。它涉及嵌入式网格上时空变分离散的设计和数学分析，用于数值集成的4D计算几何算法和多级求解器。通过结合科学计算和机器学习，这项研究的预期结果是新一代的非线性PDE近似和求解器。