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Enhancing magnetic resonance imaging with CFD: in vitro validation and patient specific application

Torii, R; Annio, G; Ducci, A; Muthurangu, V; Tsang, V; Burriesci, G; (2020) Enhancing magnetic resonance imaging with CFD: in vitro validation and patient specific application. In: Proceedings of the VPH2020 Conference. Centre pour la Communication Scientifique Directe: Paris, France. Green open access

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Abstract

Cardiovascular diseases (CVDs) are the main cause of death globally, taking the lives of 17.9 million people every year. The study of blood flow in the great thoracic arteries plays a crucial role in the diagnosis and prevention of CVDs. Flow-sensitive fourdimensional Magnetic Resonance Imaging (4D Flow CMR) has increasingly been utilised to characterise patients’ blood flow in the clinical environment. Nevertheless, spatial and temporal resolutions are still limited to enable a detailed assessment of the haemodynamics quantities. Computational fluid dynamics (CFD) is a powerful tool that has the potential to expand this information and, when integrated with experimentally-obtained velocity fields, enables to derive all the fluid dynamics descriptors of interest. However, the accuracy of the computed flow parameters is necessarily limited by the limited resolution of the 4D MRI, and highly influenced by the boundary conditions imposed. We propose a novel approach in which 4D Flow CMR and CFD-computed velocity fields are integrated synergistically in order to obtain an enhanced 4D Flow CMR imaging (EMRI). The approach was validated in-vitro against 2D particle image velocimetry (PIV) data on an idealised mock aortic arch, subject to pulsatile flow conditions, and tested on a patient specific aorta.

Type: Proceedings paper
Title: Enhancing magnetic resonance imaging with CFD: in vitro validation and patient specific application
Event: VPH2020 Conference
Location: Paris (online)
Dates: 24 August 2020 - 28 August 2020
Open access status: An open access version is available from UCL Discovery
Publisher version: https://vph2020.sciencesconf.org/
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: MRI, CFD, PIV, cardiovascular, flow
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science > Childrens Cardiovascular Disease
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > STEaPP
URI: https://discovery.ucl.ac.uk/id/eprint/10117362
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