P14 Blood flow analysis of the aortic arch using computational fluid dynamics in a coupled 3D-0D framework

Black, Scott; Ritos, Konstantinos; Maclean, Craig; Brodie, Robbie; Kazakidi, Asimina

doi:10.1136/heartjnl-2020-scf.24

Cited by 5 publications

(5 citation statements)

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“…Patient-specific and multiscale models have enhanced prognostic capabilities and progressed towards customization in patient treatment. It is, therefore, unsurprising that computational fluid dynamics is increasingly applied to the study of CHD [8][9][10][11] .…”

Section: Computational Fluid Dynamics (Cfd)mentioning

confidence: 99%

Hemodynamics in the Aorta and Pulmonary Arteries of Congenital Heart Disease Patients: A Mini Review

Johnston¹,

Boumpouli²,

Kazakidi³

2021

J Cardiol and Cardiovasc Sciences

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Congenital heart disease, which affects more than one million newborns globally each year, contributes to an increased risk of cardiovascular disease and ultimately reduced life expectancy. Computational fluid dynamics (CFD) enables detailed, non-invasive characterization of complex physiological pressure and flow fields, thus improving our understanding of congenital heart disease hemodynamics. In recent years, this has driven clinical decision-making, surgical planning, and the evaluation of innovative surgical techniques. In this mini review, CFD methods applied to the study of congenital abnormalities, with a focus on the aorta and pulmonary bifurcation, are discussed. The clinical relevance and future directions of CFD modelling are also reviewed.

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Section: Computational Fluid Dynamics (Cfd)mentioning

confidence: 99%

Hemodynamics in the Aorta and Pulmonary Arteries of Congenital Heart Disease Patients: A Mini Review

Johnston¹,

Boumpouli²,

Kazakidi³

2021

J Cardiol and Cardiovasc Sciences

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“…The thoracic aorta of the healthy volunteer was reconstructed from 4D Flow-MRI data using the methodology described in Black et al, (2023) . In brief, a 3D magnetic resonance angiogram was created by deriving contrast from the instantaneous velocity magnitude of blood during systolic acceleration, peak systole, and systolic deceleration ( Figures 1A, B ).…”

Section: Methodsmentioning

confidence: 99%

“…For the AD case, multi-VENC MRI imaging is required to allow for the precise segmentation of the false lumen ( Black et al, 2023 ). As this was not available, the geometry of the dissected aorta was reconstructed from CT images ( Figure 1C ).…”

Section: Methodsmentioning

confidence: 99%

Calibration of patient-specific boundary conditions for coupled CFD models of the aorta derived from 4D Flow-MRI

Black

Maclean

Barrientos

et al. 2023

Front. Bioeng. Biotechnol.

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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.

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“…Nowadays, computational approaches have become one of the complementary tools in studying structure, function and blood regulation of the vascular systems [1][2][3][4][5][6][7][8][9][10]. The fundamental purpose of developing a numerical model is to understand how changes in the vascular structure affect transport mechanisms in organs, giving important clinical information.…”

Section: Introductionmentioning

confidence: 99%

“…The coupling between each level is the key to creating a complete model with a suitable balance between computational cost and detail, as required for pathological characterization [6,8,11]. To this end, several earlier studies have proposed suitable modelling set-ups [1,5,7,[12][13][14][15][16]. The authors in [5] propose a three-dimensional/onedimensional coupling for combining large and small arteries in the cerebral vasculature.…”

Section: Introductionmentioning

confidence: 99%

A nonlinear multi-scale model for blood circulation in a realistic vascular system

et al. 2021

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In the last decade, numerical models have become an increasingly important tool in biological and medical science. Numerical simulations contribute to a deeper understanding of physiology and are a powerful tool for better diagnostics and treatment. In this paper, a nonlinear multi-scale model framework is developed for blood flow distribution in the full vascular system of an organ. We couple a quasi one-dimensional vascular graph model to represent blood flow in larger vessels and a porous media model to describe flow in smaller vessels and capillary bed. The vascular model is based on Poiseuille’s Law, with pressure correction by elasticity and pressure drop estimation at vessels' junctions. The porous capillary bed is modelled as a two-compartment domain (artery and venous) using Darcy’s Law. The fluid exchange between the artery and venous capillary bed compartments is defined as blood perfusion. The numerical experiments show that the proposed model for blood circulation: (i) is closely dependent on the structure and parameters of both the larger vessels and of the capillary bed, and (ii) provides a realistic blood circulation in the organ. The advantage of the proposed model is that it is complex enough to reliably capture the main underlying physiological function, yet highly flexible as it offers the possibility of incorporating various local effects. Furthermore, the numerical implementation of the model is straightforward and allows for simulations on a regular desktop computer.

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P14 Blood flow analysis of the aortic arch using computational fluid dynamics in a coupled 3D-0D framework

Cited by 5 publications

References 0 publications

Hemodynamics in the Aorta and Pulmonary Arteries of Congenital Heart Disease Patients: A Mini Review

Hemodynamics in the Aorta and Pulmonary Arteries of Congenital Heart Disease Patients: A Mini Review

Calibration of patient-specific boundary conditions for coupled CFD models of the aorta derived from 4D Flow-MRI

A nonlinear multi-scale model for blood circulation in a realistic vascular system

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