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

• Main Authors: Alzhanov, Nursultan, Ng, Eddie Yin Kwee, Zhao, Yong
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering; Blood flow simulation; Coronal stenosis
• Online Access: https://hdl.handle.net/10356/180591
• Institution: 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...