Groen, D;
Richardson, RA;
Coy, R;
Schiller, UD;
Chandrashekar, H;
Robertson, F;
Coveney, PV;
(2018)
Validation of Patient-Specific Cerebral Blood Flow Simulation Using Transcranial Doppler Measurements.
Frontiers in Physiology
, 9
, Article 721. 10.3389/fphys.2018.00721.
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Abstract
We present a validation study comparing results from a patient-specific lattice-Boltzmann simulation to transcranial Doppler (TCD) velocity measurements in four different planes of the middle cerebral artery (MCA). As part of the study, we compared simulations using a Newtonian and a Carreau-Yasuda rheology model. We also investigated the viability of using downscaled velocities to reduce the required resolution. Simulations with unscaled velocities predict the maximum flow velocity with an error of less than 9%, independent of the rheology model chosen. The accuracy of the simulation predictions worsens considerably when simulations are run at reduced velocity, as is for example the case when inflow velocities from healthy individuals are used on a vascular model of a stroke patient. Our results demonstrate the importance of using directly measured and patient-specific inflow velocities when simulating blood flow in MCAs. We conclude that localized TCD measurements together with predictive simulations can be used to obtain flow estimates with high fidelity over a larger region, and reduce the need for more invasive flow measurement procedures.
Type: | Article |
---|---|
Title: | Validation of Patient-Specific Cerebral Blood Flow Simulation Using Transcranial Doppler Measurements |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.3389/fphys.2018.00721 |
Publisher version: | https://doi.org/10.3389/fphys.2018.00721 |
Language: | English |
Additional information: | © 2018 Groen, Richardson, Coy, Schiller, Chandrashekar, Robertson and Coveney. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). |
Keywords: | lattice-Boltzmann, middle cerebral artery, computational fluid dynamics, transcranial Doppler, high performance computing, blood flow, validation study |
UCL classification: | UCL 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 Computer Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science > CoMPLEX: Mat&Phys in Life Sci and Exp Bio UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Chemistry |
URI: | https://discovery.ucl.ac.uk/id/eprint/10053862 |
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