Further experimental evidence of the compressibility of arteries

Yossef, Ofry; Farajian, Mor; Gilad, Ilan; Willenz, Udi; Gutman, Nimrod; Yosibash, Zohar

doi:10.1016/j.jmbbm.2016.08.013

Cited by 17 publications

(4 citation statements)

References 7 publications

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“…In any artery layer, two families of fibers exist, that are in symmetrical configuration with circumferential direction. Based on experimental evidence it was widely accepted that the artery wall is incompressible [22]; however, newer findings challenge this assumption [23,24]. Most of the constitutive models of the artery wall were developed in regards with the incompressible assumption, and only the newest constitutive models and numerical schemes tried to incorporate compressibility and inextensibility [25].…”

Section: Constitutive Fiber-reinforced Materials Model For Artery Wallmentioning

confidence: 99%

Numerical evaluation of systematic errors of a non-invasive intracranial pressure measurement

Misiulis¹,

Skarbalius²,

Džiugys³

2018

energetika

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Intracranial pressure (ICP) monitoring procedure can be applied to aid in secondary brain damage prevention. A high invasiveness of commonly used ICP measuring methods poses a risk of complications, and therefore new non-invasive methods are currently being developed. A promising non-invasive ICP measurement method is based on the existence of pressure balance state, which is driven by the unique morphological property of ophthalmic artery (OA). The value of ICP can be obtained by evaluating blood flow or artery characteristics in different OA segments, intracranial OA segment (IOA) and extracranial OA segment (EOA). In order to increase measurement accuracy, the systematic errors must be evaluated, which requires an implementation of a numerical model encompassing various physical phenomena. In this paper, a developed numerical model is presented, which was used to solve a transient fluid–structure interaction (FSI) problem of the pulsatile blood flow in a straight, physically meaningful anisotropic, hyperelastic OA, with ICP and external pressure (Pe) loads. It was found that the systematic error based on mean cross-sectional area difference between IOA and EOA segments was {–1.48, –1.37, –1.17} mmHg with ICP = {10, 20, 30} mmHg, respectively. The systematic error based on mean blood flow velocity difference between IOA and EOA segments was {–1.84, –1.76, –1.625} mmHg with ICP = {10, 20, 30} mmHg, respectively. The presented numerical model examined the worst-case scenario in terms of boundary conditions, which were immovable, while lengths of OA segments were physiologically relevant statistical means; however, the obtained systematic errors still met the clinical standards of ANSI/AAMI, where it is stated that the error should not exceed the ± 2 mmHg in the range of 0–20 mmHg of ICP. Boundary conditions and compliance affects the systematic error in both ways (reduce or increase it); this may explain the low systematic errors obtained in experimental studies by other authors.

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Section: Constitutive Fiber-reinforced Materials Model For Artery Wallmentioning

confidence: 99%

Numerical evaluation of systematic errors of a non-invasive intracranial pressure measurement

Misiulis¹,

Skarbalius²,

Džiugys³

2018

energetika

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“…In general, the incompressibility of the arterial wall is commonly accepted, and it has been widely taken as a hypothesis in multiple numerical formulations. However, some authors questioned this consideration, reporting volume changes in the physiological pressure range ( Yosibash et al, 2014 ; Yossef et al, 2017 ). The work of Nolan et al, 2014 ( Nolan and McGarry, 2016 ) performed on an ovine aorta revealed a degree of compressibility, given by a Poisson’s ratio value of 0.44.…”

Section: Discussionmentioning

confidence: 99%

An inverse fitting strategy to determine the constrained mixture model parameters: application in patient-specific aorta

Navarrete,

Utrera,

Rivera

et al. 2023

Front. Bioeng. Biotechnol.

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The Constrained Mixture Model (CMM) is a novel approach to describe arterial wall mechanics, whose formulation is based on a referential physiological state. The CMM considers the arterial wall as a mixture of load-bearing constituents, each of them with characteristic mass fraction, material properties, and deposition stretch levels from its stress-free state to the in-vivo configuration. Although some reports of this model successfully assess its capabilities, they barely explore experimental approaches to model patient-specific scenarios. In this sense, we propose an iterative fitting procedure of numerical-experimental nature to determine material parameters and deposition stretch values. To this end, the model has been implemented in a finite element framework, and it is calibrated using reported experimental data of descending thoracic aorta. The main results obtained from the proposed procedure consist of a set of material parameters for each constituent. Moreover, a relationship between deposition stretches and residual strain measurements (opening angle and axial stretch) has been numerically proved, establishing a strong consistency between the model and experimental data.

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“…The remaining constituents of the ECM are described by a compressible isotropic neo-Hookean model. Such a matrix (with embedded collagen fibers) has been shown to be compressible in several soft tissues [6,7,28], suggesting it is likely the source of nonvascular volume changes in the myocardium. The capillaries are modeled as empty inclusions.…”

Section: Representative Volumetric Element Constituentmentioning

confidence: 99%

“…Incompressibility is commonly assumed in the computational modeling of some soft tissues (primarily due to the fluid content within cells and interstitial components), though recent investigations have challenged such assumptions [6,7]. The incompressible condition for myocardium is supported by a study from Vossoughi and Patel [8].…”

Section: Introductionmentioning

confidence: 99%

Compressibility and Anisotropy of the Ventricular Myocardium: Experimental Analysis and Microstructural Modeling

McEvoy

Holzapfel

McGarry

2018

Journal of Biomechanical Engineering

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While the anisotropic behavior of the complex composite myocardial tissue has been well characterized in recent years, the compressibility of the tissue has not been rigorously investigated to date. In the first part of this study, we present experimental evidence that passive-excised porcine myocardium exhibits volume change. Under tensile loading of a cylindrical specimen, a volume change of 4.1±1.95% is observed at a peak stretch of 1.3. Confined compression experiments also demonstrate significant volume change in the tissue (loading applied up to a volumetric strain of 10%). In order to simulate the multiaxial passive behavior of the myocardium, a nonlinear volumetric hyperelastic component is combined with the well-established Holzapfel-Ogden anisotropic hyperelastic component for myocardium fibers. This framework is shown to describe the experimentally observed behavior of porcine and human tissues under shear and biaxial loading conditions. In the second part of the study, a representative volumetric element (RVE) of myocardium tissue is constructed to parse the contribution of the tissue vasculature to observed volume change under confined compression loading. Simulations of the myocardium microstructure suggest that the vasculature cannot fully account for the experimentally measured volume change. Additionally, the RVE is subjected to six modes of shear loading to investigate the influence of microscale fiber alignment and dispersion on tissue-scale mechanical behavior.

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Further experimental evidence of the compressibility of arteries

Cited by 17 publications

References 7 publications

Numerical evaluation of systematic errors of a non-invasive intracranial pressure measurement

Numerical evaluation of systematic errors of a non-invasive intracranial pressure measurement

An inverse fitting strategy to determine the constrained mixture model parameters: application in patient-specific aorta

Compressibility and Anisotropy of the Ventricular Myocardium: Experimental Analysis and Microstructural Modeling

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