Accuracy vs. computational time: Translating aortic simulations to the clinic

Brown, Alistair; Shi, Yubing; Marzo, Alberto; Staicu, Cristina; Valverde, Israel; Beerbaum, Philipp; Lawford, Patricia; Hose, D.R.

doi:10.1016/j.jbiomech.2011.11.041

Cited by 95 publications

(81 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Based on the geometries of different aortic arches in a number of individuals (Suo 2005;García-Herrera 2008;Qiao & Liu 2008;Votta et al 2008;Bailevs et al 2009;Huang et al 2010;Moireau et al 2011;Brown et al 2012), an idealised geometry shown in Figure 3 is adopted. The studied aortic arch has an internal diameter of 20 mm while the wall thicknesses are 1.2 and 2 mm for the main aortic arch and the uprising outlets, respectively (García-Herrera 2008; Polindara et al 2013).…”

Section: Resultsmentioning

confidence: 99%

Fluid-solid interaction in arteries incorporating the autoregulation concept in boundary conditions

Afkari

Gabaldón

2015

Computer Methods in Biomechanics and Biomedical Engineering

View full text Add to dashboard Cite

In pre-surgery decisions in hospital emergency cases, fast and reliable results of the solid and fluid mechanics problems are of great interest to clinicians. In the current investigation, an iterative process based on a pressure-type boundary condition is proposed in order to reduce the computational costs of blood flow simulations in arteries, without losing control of the important clinical parameters. The incorporation of cardiovascular autoregulation, together with the well-known impedance boundary condition, forms the basis of the proposed methodology. With autoregulation, the instabilities associated with conventional pressure-type or impedance boundary conditions are avoided without an excessive increase in computational costs. The general behaviour of pulsatile blood flow in arteries, which is important from the clinical point of view, is well reproduced through this new methodology. In addition, the interaction between the blood and the arterial walls occurs via a modified weak coupling, which makes the simulation more stable and computationally efficient. Based on in vitro experiments, the hyperelastic behaviour of the wall is characterised and modelled. The applications and benefits of the proposed pressure-type boundary condition are shown in a model of an idealised aortic arch with and without an ascending aorta dissection, which is a common cardiovascular disorder.

show abstract

Section: Resultsmentioning

confidence: 99%

Fluid-solid interaction in arteries incorporating the autoregulation concept in boundary conditions

Afkari

Gabaldón

2015

Computer Methods in Biomechanics and Biomedical Engineering

View full text Add to dashboard Cite

show abstract

“…adopted emphasizes that the PC-MRI flow measurements-derived uncertainty is an important source of uncertainty. This is of utmost importance considering that it is non-linearly related with other uncertainties intrinsic in modeling assumptions such as aortic wall distensibility (Lantz et al 2011;Brown et al 2012), outflow boundary conditions (Gallo et al 2012), blood rheological properties (Liu et al 2011), etc. As a consequence, the global effect cannot be neglected when looking at model reliability.…”

Section: Discussionmentioning

confidence: 99%

Uncertainty propagation of phase contrast-MRI derived inlet boundary conditions in computational hemodynamics models of thoracic aorta

Bozzi

Morbiducci

Gallo

et al. 2017

Computer Methods in Biomechanics and Biomedical Engineering

View full text Add to dashboard Cite

This study investigates the impact that uncertainty in phase contrast-MRI derived inlet boundary conditions has on patient-specific computational hemodynamics models of the healthy human thoracic aorta. By means of Monte Carlo simulations, we provide advice on where, when and how, it is important to account for this source of uncertainty. The study shows that the uncertainty propagates not only to the intravascular flow, but also to the shear stress distribution at the vessel wall. More specifically, the results show an increase in the uncertainty of the predicted output variables, with respect to the input uncertainty, more marked for blood pressure and wall shear stress. The methodological approach proposed here can be easily extended to study uncertainty propagation in both healthy and pathological computational hemodynamic models.

show abstract

“…FSI studies using impedance BCs were attempted for the ventricle and aorta (some examples are (Watanabe et al, 2004;Brown, et al, 2012), even lesser studies are available for the FSI of the aortic valve. A simple Windkessel model used by Griffith (Griffith, 2012) simulates the impedance offered by the aorta.…”

Section: Discussionmentioning

confidence: 99%

Aortic valve dynamics using a fluid structure interaction model – The physiology of opening and closing

Sundaram

Balakrishnan

Kumar

2015

Journal of Biomechanics

View full text Add to dashboard Cite

Accuracy vs. computational time: Translating aortic simulations to the clinic

Cited by 95 publications

References 19 publications

Fluid-solid interaction in arteries incorporating the autoregulation concept in boundary conditions

Fluid-solid interaction in arteries incorporating the autoregulation concept in boundary conditions

Uncertainty propagation of phase contrast-MRI derived inlet boundary conditions in computational hemodynamics models of thoracic aorta

Aortic valve dynamics using a fluid structure interaction model – The physiology of opening and closing

Contact Info

Product

Resources

About