We have successfully developed and applied a reduced-order multiscale model for a patient-specific coronary circulation which determines the distribution of time-varying and average flow and pressure in the coronary tree. Three different patient-states have been simulated. In terms of clinical diagnosis and decision-making the most important one is the drug-induced intracoronary hyperemia, since values of different indices like FFR (fractional flow reserve) or CFR (coronary flow reserve) may be estimated. The proposed model is significantly faster (at least two orders of magnitude; one heart cycle requires less than one minute) when compared to the full-order models, thereby making it amenable in a clinical setting. The reliable patient-specific computation of trans-stenotic pressure drops at hyperemia from the proposed models makes them suitable for non-invasive functional assessment of the stenosis.
展开▼
