Prediction of fractional flow reserve based on reduced-order cardiovascular model

DOI10.1016/j.cma.2022.115473OpenAlexW4292466835MaRDI QIDQ2083115

Jian Liu, Na Li, Haisheng Yang, Bao Li, Ruisen Fu, Yili Feng, Youjun Liu

Publication date: 10 October 2022

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cma.2022.115473

zbMATH Keywords

reduced-order modelcoupling algorithmfractional flow reservecoronary stenosiscoronary CTA

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Physiological flow (92C35)

Cites Work

• A modular numerical method for implicit 0D/3D coupling in cardiovascular finite element simulations
• Systemic and pulmonary hemodynamics assessed with a lumped-parameter heart-arterial interaction model
• Machine learning augmented reduced-order models for FFR-prediction
• Impact of geometric uncertainty on hemodynamic simulations using machine learning
• Analysis of a Geometrical Multiscale Model Based on the Coupling of ODE and PDE for Blood Flow Simulations
• A Method to Personalize the Lumped Parameter Model of Coronary Artery

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