Year: 2024
Type: conference-paper
Abstract: 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.
Institution: University of Leeds
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: green
Award: G8286042497
OpenAlex ID: W4405521526