Three-dimensional physics-informed neural network simulation in coronary artery trees

• Main Authors: Alzhanov, Nursultan, Ng, Eddie Yin Kwee, Zhao, Yong
• 其他作者: School of Mechanical and Aerospace Engineering
• 格式: Article
• 語言: English
• 出版: 2024
• 主題: Engineering; Blood flow simulation; Coronal stenosis
• 在線閱讀: https://hdl.handle.net/10356/180591
• 機構: Nanyang Technological University

This study introduces a novel approach using 3D Physics-Informed Neural Networks (PINNs) for simulating blood flow in coronary arteries, integrating deep learning with fundamental physics principles. By merging physics-driven models with clinical datasets, our methodology accurately predicts fractio...