Calibration of patient-specific boundary conditions for coupled CFD models of the aorta derived from 4D Flow-MRI.
Autor: | Black SM; Department of Biomedical Engineering, University of Strathclyde, Glasgow, United Kingdom., Maclean C; Research and Development, Terumo Aortic, Glasgow, United Kingdom., Hall Barrientos P; Clinical Physics, Queen Elizabeth University Hospital, NHS Greater Glasgow and Clyde, Glasgow, United Kingdom., Ritos K; Department of Mechanical and Aerospace Engineering, University of Strathclyde, Glasgow, United Kingdom.; Department of Mechanical Engineering, University of Thessaly, Volos, Greece., McQueen A; Department of Biomedical Engineering, University of Glasgow, Glasgow, United Kingdom., Kazakidi A; Department of Biomedical Engineering, University of Strathclyde, Glasgow, United Kingdom. |
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Jazyk: | angličtina |
Zdroj: | Frontiers in bioengineering and biotechnology [Front Bioeng Biotechnol] 2023 May 11; Vol. 11, pp. 1178483. Date of Electronic Publication: 2023 May 11 (Print Publication: 2023). |
DOI: | 10.3389/fbioe.2023.1178483 |
Abstrakt: | Introduction: Patient-specific computational fluid dynamics (CFD) models permit analysis of complex intra-aortic hemodynamics in patients with aortic dissection (AD), where vessel morphology and disease severity are highly individualized. The simulated blood flow regime within these models is sensitive to the prescribed boundary conditions (BCs), so accurate BC selection is fundamental to achieve clinically relevant results. Methods: This study presents a novel reduced-order computational framework for the iterative flow-based calibration of 3-Element Windkessel Model (3EWM) parameters to generate patient-specific BCs. These parameters were calibrated using time-resolved flow information derived from retrospective four-dimensional flow magnetic resonance imaging (4D Flow-MRI). For a healthy and dissected case, blood flow was then investigated numerically in a fully coupled zero dimensional-three dimensional (0D-3D) numerical framework, where the vessel geometries were reconstructed from medical images. Calibration of the 3EWM parameters was automated and required ~3.5 min per branch. Results: With prescription of the calibrated BCs, the computed near-wall hemodynamics (time-averaged wall shear stress, oscillatory shear index) and perfusion distribution were consistent with clinical measurements and previous literature, yielding physiologically relevant results. BC calibration was particularly important in the AD case, where the complex flow regime was captured only after BC calibration. Discussion: This calibration methodology can therefore be applied in clinical cases where branch flow rates are known, for example, via 4D Flow-MRI or ultrasound, to generate patient-specific BCs for CFD models. It is then possible to elucidate, on a case-by-case basis, the highly individualized hemodynamics which occur due to geometric variations in aortic pathology high spatiotemporal resolution through CFD. Competing Interests: Author CM was employed by Terumo Aortic. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2023 Black, Maclean, Hall Barrientos, Ritos, McQueen and Kazakidi.) |
Databáze: | MEDLINE |
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