A Multi-physics Model of Flow from Coronary Angiography: Insights into Microvascular Function
Journal:
arXiv
Published Date:
Dec 6, 2024
Abstract
Coronary Artery Disease (CAD) and Coronary Microvascular Disease (CMD) can
lead to insufficient blood flow to the myocardium, affecting millions of people
globally. Coronary angiography, one of the most commonly used imaging
modalities, offers valuable information that assists in diagnosing these
diseases. However, these benefits are not fully understood or utilized in
current clinical practice. In this study, a 3D-0D coupled multi-physics
computational fluid dynamics (CFD) model was developed and calibrated to
simulate and better understand the process of contrast injection and washout
during clinical angiography. A contrast intensity profile (CIP) was introduced
to capture the dynamics of coronary angiography data. Additionally, a
sensitivity study was conducted to assess the influence of various coronary
artery model parameters on CIP. The results demonstrate that the calibrated
3D-0D coupled multi-physics models are physiologically meaningful and produce
accurate hemodynamic results. The sensitivity study further reveals that
resistance has a greater impact on CIP than capacitance, with higher resistance
amplifying this effect.
