Utilising Haemodynamic Modelling in Volumetric Ultrasound Simulation

This study proposes a Python framework (USim) for generating synthetic volumetric ultrasound datasets that incorporate haemodynamic modelling. This framework was demonstrated through the simulation of flowing particles in a simulated model of a human aorta, under interrogation from a volumetric diverging wave ultrasound emission. Particles in the beamformed lumen were localised and tracked between subsequent frames and were shown to be in agreement with the ground-truth model. Thus, the efficacy of the proposed framework for volumetric flow imaging algorithm development and validation has been demonstrated.