CardioFAN: open source platform for noninvasive assessment of pulse transit time and pulsatile flow in hyperelastic vascular networks

Vahedein, Yashar Seyed; Liberson, Alexander S.

doi:10.1007/s10237-019-01163-z

Cited by 4 publications

(3 citation statements)

References 69 publications

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“…In this section three type of nonlinear models are reviewed following the papers [14,15]: the infinitesimally Small Deformation Linear Elasticity Model (SDL), Small Deformation Hyperplastic Model (SDH) and Finite Deformation hyper elastic Model (FDH).…”

Section: Nonlinear Vs Linear Modelsmentioning

confidence: 99%

Relation of a Pulse Transit Time to the Blood Pressure in Bifurcated Cardiovascular Networks

Liberson

2020

AJBSR

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Recent developments in cardiovascular mathematics allow to simulate blood flow in the entire circulatory network or any isolated cardiovascular subsystem. Providing measurements of a Pulse Transit Time (PTT), or the averaged value for the Pulse Wave Velocity (PWV), the patient specific computational model can create personalized transfer functions, converting distal measurements to the set of cardiovascular biomarkers. The latter has a potential to build the feasible foundation for the personalized continuous self-monitoring of cardiovascular health based on portable mobile and wearable applications. Nevertheless, although being of a great interest, an accurate and reliable PTT-based Blood Pressure (BP) estimation barely exists nowadays due to the complexity of a BP regulation in a human body.In this paper we concentrate on a physics based computational modelling to assess interconnections of a PTT to BP in a bifurcated circulatory network. The PWV is interpreted as the speed of propagation along the forward running characteristic in a related hyperbolic Fluid Structure Interaction (FSI) differential problem. PTT is calculated by integrating the reciprocal of instantaneous PWV along the characteristic line. The Y.C. Fung's exponential model is applied to describe mechanics of a thin and a thick-walled vessel, subject to the infinitesimally small or finite hyperelastic deformation. Recently published PTT and PWV based non-invasive and continuous BP monitoring methods are reviewed and analyzed.

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Section: Nonlinear Vs Linear Modelsmentioning

confidence: 99%

Relation of a Pulse Transit Time to the Blood Pressure in Bifurcated Cardiovascular Networks

Liberson

2020

AJBSR

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“…To the authors' knowledge, there are few haemodynamic studies that consider a complete description of the vascular wall mechanics (Alastruey et al 2011;Vahedein and Liberson 2019;Bertaglia et al 2020). In most of the 1D blood modelling works, the link between pressure and area (alternatively radius) of the vessel is expressed through either a linear or a hyperbolic relationship, parameterized to represent only a narrow spectrum of patho-physiological conditions.…”

Section: Introductionmentioning

confidence: 99%

“…To the authors’ knowledge, there are few haemodynamic studies that consider a complete description of the vascular wall mechanics (Alastruey et al. 2011 ; Vahedein and Liberson 2019 ; Bertaglia et al. 2020 ).…”

Section: Introductionmentioning

confidence: 99%

A framework for incorporating 3D hyperelastic vascular wall models in 1D blood flow simulations

Coccarelli

Carson

Aggarwal

et al. 2021

Biomech Model Mechanobiol

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We present a novel framework for investigating the role of vascular structure on arterial haemodynamics in large vessels, with a special focus on the human common carotid artery (CCA). The analysis is carried out by adopting a three-dimensional (3D) derived, fibre-reinforced, hyperelastic structural model, which is coupled with an axisymmetric, reduced order model describing blood flow. The vessel transmural pressure and lumen area are related via a Holzapfel–Ogden type of law, and the residual stresses along the thickness and length of the vessel are also accounted for. After a structural characterization of the adopted hyperelastic model, we investigate the link underlying the vascular wall response and blood-flow dynamics by comparing the proposed framework results against a popular tube law. The comparison shows that the behaviour of the model can be captured by the simpler linear surrogate only if a representative value of compliance is applied. Sobol’s multi-variable sensitivity analysis is then carried out in order to identify the extent to which the structural parameters have an impact on the CCA haemodynamics. In this case, the local pulse wave velocity (PWV) is used as index for representing the arterial transmission capacity of blood pressure waveforms. The sensitivity analysis suggests that some geometrical factors, such as the stress-free inner radius and opening angle, play a major role on the system’s haemodynamics. Subsequently, we quantified the differences in haemodynamic variables obtained from different virtual CCAs, tube laws and flow conditions. Although each artery presents a distinct vascular response, the differences obtained across different flow regimes are not significant. As expected, the linear tube law is unable to accurately capture all the haemodynamic features characterizing the current model. The findings from the sensitivity analysis are further confirmed by investigating the axial stretching effect on the CCA fluid dynamics. This factor does not seem to alter the pressure and flow waveforms. On the contrary, it is shown that, for an axially stretched vessel, the vascular wall exhibits an attenuation in absolute distension and an increase in circumferential stress, corroborating the findings of previous studies. This analysis shows that the new model offers a good balance between computational complexity and physics captured, making it an ideal framework for studies aiming to investigate the profound link between vascular mechanobiology and blood flow.

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openBF: an open-source finite volume 1D blood flow solver

Benemerito,

Melis,

Wehenkel

et al. 2024

Physiol. Meas.

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Computational simulations are widely adopted in cardiovascular biomechanics because of their capability of producing physiological data otherwise impossible to measure with non-invasive modalities. ObjectiveThis study presents openBF, a computational library for simulating the blood dynamics in the cardiovascular system. ApproachopenBF adopts a 1-D viscoelastic representation of the arterial system, and is coupled with 0-D windkessel models at the outlets. Equations are solved by means of the finite-volume method and the code is written in Julia. We assess its predictions by performing a multiscale validation study on several domains available from the literature. Main resultsAt all scales, which range from individual arteries to a population of virtual subjects, openBF's solution show excellent agreement with the solutions from existing software. For reported simulations, openBF requires low computational times. SignificanceopenBF is easy to install, use, and deploy on multiple platforms and architectures, and gives accurate prediction of blood dynamics in short time-frames. It is actively maintained and available open-source on GitHub, which favours contributions from the biomechanical community.

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CardioFAN: open source platform for noninvasive assessment of pulse transit time and pulsatile flow in hyperelastic vascular networks

Cited by 4 publications

References 69 publications

Relation of a Pulse Transit Time to the Blood Pressure in Bifurcated Cardiovascular Networks

Relation of a Pulse Transit Time to the Blood Pressure in Bifurcated Cardiovascular Networks

A framework for incorporating 3D hyperelastic vascular wall models in 1D blood flow simulations

openBF: an open-source finite volume 1D blood flow solver

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