UCL Discovery Stage
UCL home » Library Services » Electronic resources » UCL Discovery Stage

Experimental evaluation of the patient-specific haemodynamics of an aortic dissection model using particle image velocimetry

Franzetti, Gaia; Bonfanti, Mirko; Homer-Vanniasinkam, Shervanthi; Diaz-Zuccarini, Vanessa; Balabani, Stavroula; (2022) Experimental evaluation of the patient-specific haemodynamics of an aortic dissection model using particle image velocimetry. Journal of Biomechanics , 134 , Article 110963. 10.1016/j.jbiomech.2022.110963. Green open access

[thumbnail of JBME_Balabani 2022_Paper_Accepted Version.pdf]
Preview
Text
JBME_Balabani 2022_Paper_Accepted Version.pdf - Accepted Version

Download (1MB) | Preview

Abstract

Aortic Dissection (AD) is a complex pathology that affects the aorta. Diagnosis, management and treatment remain a challenge as it is a highly patient-specific pathology and there is still a limited understanding of the fluid-mechanics phenomena underlying clinical outcomes. Although in vitro models can allow the accurate study of AD flow fields in physical phantoms, they are currently scarce and almost exclusively rely on over simplifying assumptions. In this work, we present the first experimental study of a patient-specific case of AD. An anatomically correct phantom was produced and combined with a state-of-the-art in vitro platform, informed by clinical data, employed to accurately reproduce personalised conditions. The complex AD haemodynamics reproduced by the platform was characterised by flow rate and pressure acquisitions as well as Particle Image Velocimetry (PIV) derived velocity fields. Clinically relevant haemodynamic indices, that can be correlated with AD prognosis – such as velocity, shear rate, turbulent kinetic energy distributions – were extracted in two regions of interest in the aortic domain. The acquired data highlighted the complex nature of the flow (e.g. recirculation regions, low shear rate in the false lumen) and was in very good agreement with the available clinical data and the CFD results of a study conducted alongside, demonstrating the accuracy of the findings. These results demonstrate that the described platform constitutes a powerful, unique tool to reproduce in vitro personalised haemodynamic conditions, which can be used to support the evaluation of surgical procedures, medical devices testing and to validate state-of-the-art numerical models.

Type: Article
Title: Experimental evaluation of the patient-specific haemodynamics of an aortic dissection model using particle image velocimetry
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.jbiomech.2022.110963
Publisher version: https://doi.org/10.1016/j.jbiomech.2022.110963
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: Aortic Dissection, Haemodynamics, Particle Image Velocimetry, Patient-specific
UCL classification: 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
UCL
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10145166
Downloads since deposit
2,156Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item