USE OF ONE-DIMENSIONAL NETWORK MODELS OF BLOOD FLOW TO ASSESS HEMODYNAMIC INDICES IN STENOTIC CORONARY ARTERIES

This paper presents an analysis of the effectiveness of using one-dimensional network models for virtual assessment of the hemodynamic indices widely used in clinical practice to choose a treatment strategy for coronary heart disease with stenotic coronary arteries. It is shown that existing approaches make it is possible to assess hemodynamic indices based on clinical data collected without intervention into the body with an accuracy comparable to the accuracy of the input data and direct measurements. It is also important to take into account the state of the myocardial microvasculature and its influence on the interpretation of modeling results and direct clinical measurements.