POSTER PRESENTATION Open Access Towards a comprehensive description of relative aortic pressure: insights from 4D flow CMR

A complete description of the relative spatiotemporal pressure gradients which drive blood flow has been a cen-tral goal of hemodynamics research over six decades. We have previously described a novel computational method for the in vivo estimation of these relative pressure gradi-ents in the human cardiovascular system based on 4D flow Cardiovascular Magnetic Resonance (CMR) datasets (reference 1). We now describe the application of this method to allow a comprehensive assessment of the spa-tiotemporal distribution of relative pressure in the human aorta, based on 4D flow CMR datasets, in both healthy subjects, and in patients with established aortic disease. We have extended the approach by isolating, and individu-ally analysing, the three major components of relative pressure, providing unique insights into the nature an