Reduced-order modelling of blood flow in the human arterial tree

Abstract

Haemodynamics is recognised to affect the pathogenesis of the most life-threatening cardiovascular diseases, such as heart attack or brain stroke. Thus, in the new millennium, the need to better understand the complexity and uniqueness associated with pulsatile blood flow in compliant arteries has given rise to mathematical models of different spatial dimensions, making it possible to obtain accurate patient-specific results at low computational cost. The work presents a well-known model of the arterial system consisting of 55 largest arteries in the human body. The model, which is solved by the MacCormack finite volume method, comprises of individual compliant arterial segments formulated as one-dimensional models.