Blood flow velocity using transcranial Doppler velocimetry in the middle and anterior cerebral arteries: correlation with sample volume depth

Hart, Robin; Haluszkiewicz, Elvie

doi:10.1016/s0301-5629(00)00226-x

Cited by 8 publications

(4 citation statements)

References 13 publications

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“…The variable vessel trajectory can explain the variability in velocity measurements between the arteries because velocity measurements depend on the site of sampling of a particular vascular segment. 5,9,19 Furthermore, in curved and tortuous arteries the distribution of blood flow across the artery is not uniform. 20 Therefore, it is important to sample the entire lumen of the artery to obtain the most reliable results.…”

Section: Discussionmentioning

confidence: 99%

Angle-Corrected Imaging Transcranial Doppler Sonography versus Imaging and Nonimaging Transcranial Doppler Sonography in Children with Sickle Cell Disease

Krejza¹,

Rudziński²,

Pawlak³

et al. 2007

American Journal of Neuroradiology

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Section: Discussionmentioning

confidence: 99%

Angle-Corrected Imaging Transcranial Doppler Sonography versus Imaging and Nonimaging Transcranial Doppler Sonography in Children with Sickle Cell Disease

Krejza¹,

Rudziński²,

Pawlak³

et al. 2007

American Journal of Neuroradiology

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“…It is worth pointing out that the velocity values of the inlet profile reported in Fig. 27 (Baek et al, 2010) with the experimental measurements available in literature for the cerebral vasculature (Hart and Haluszkiewicz, 2000;Matsuo et al, 2011;Ogoh et al, 2005).…”

Section: Materials Parametersmentioning

confidence: 55%

A numerical study of isotropic and anisotropic constitutive models with relevance to healthy and unhealthy cerebral arterial tissues

Tricerri

Dedè

Gambaruto

et al. 2016

International Journal of Engineering Science

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This paper presents an analysis of hyperelastic constitutive models for continuous bodies both from a modeling and numerical point of view. Contributions are made within the context of finite element numerical simulations. Numerical results with relevance to flows in the cardiovascular system are outlined in the case of a sophisticated fluid-structure interaction problem, in specific complex geometries of anatomically accurate cerebral arteries in diseased state. In this regard, the work carefully outlines the numerical validation of constitutive models for healthy and unhealthy cerebral arterial tissues by means of simulations of static inflation tests on an idealized specimen of anterior cerebral artery (ACA). The healthy tissue is described by means of isotropic and anisotropic models that, are fitted with respect to experimental data describing the mechanical behavior of the ACA; the numerical results are presented highlighting the most important numerical aspects influencing the correct and efficient simulation of the mechanics of continuous bodies such as, for instance, the arterial wall. We further consider numerical simulations of unhealthy conditions of the tissue by taking into account different levels of weakening of its mechanical properties. Taking the cerebral cardiovascular system as a challenging test problem, we focus on the study of the effects of the imposed mechanical levels of degradation on kinematic quantities of interest by simulating static inflation tests for the different models. This work does not aim to propose a new mathematical model for the mechanical damage occurring at the onset of cardiovascular diseases such as cerebral aneurysms. The modeling and numerical techniques presented may be applied to a wide range of problems, equally challenging to that of the cardiovascular system with complex structural models and fluid-structure coupling

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“…Over past decades, many review publications summarized the efforts in studying hemodynamic factors on the pathophysiology of CAs, including varying risks associated with aneurysmal sac locations, high risk aneurysm morphologies, pre- and post-treatment states, and arterial blood flow conditions in vivo , in vitro , and in silico ( Sforza et al, 2009b ; Nieuwkamp et al, 2009 ; Nixon et al, 2010 ; Aoki and Nishimura, 2011 ; Jeong and Rhee, 2012 ; Fennell et al, 2016 ; Sheikh et al, 2020 ; Yu et al, 2021 ; Yi et al, 2022a ). Although transcranial Doppler velocimetry (TDV), as a non-invasive in vivo manner, can be used to assess cerebral mean blood flow velocity in the cerebral arteries ( Aaslid et al, 1982 ; Hart and Haluszkiewicz, 2000 ; Conde-Agudelo et al, 2015 ), this approach can only obtain values in limited local regions of the cerebral arteries rather than a thorough blood flow distribution in the arteries. Another in vivo method, phase-contrast magnetic resonance imaging (PC-MRI) has been used for blood velocity measurements, but it suffers from the relatively poor resolution, which can be an important limitation with respect to the small dimensions commonly encountered within CAs.…”

Section: Introductionmentioning

confidence: 99%

Developing an in vitro validated 3D in silico internal carotid artery sidewall aneurysm model

Yang

Johnson

et al. 2022

Front. Physiol.

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Introduction: Direct quantification of hemodynamic factors applied to a cerebral aneurysm (CA) remains inaccessible due to the lack of technologies to measure the flow field within an aneurysm precisely. This study aimed to develop an in vitro validated 3D in silico patient-specific internal carotid artery sidewall aneurysm (ICASA) model which can be used to investigate hemodynamic factors on the CA pathophysiology.Methods: The validated ICASA model was developed by quantifying and comparing the flow field using particle image velocimetry (PIV) measurements and computational fluid dynamics (CFD) simulations. Specifically, the flow field characteristics, i.e., blood flowrates, normalized velocity profiles, flow streamlines, and vortex locations, have been compared at representative time instants in a cardiac pulsatile period in two designated regions of the ICASA model, respectively. One region is in the internal carotid artery (ICA) inlet close to the aneurysm sac, the other is across the middle of the aneurysmal sac.Results and Discussion: The results indicated that the developed computational fluid dynamics model presents good agreements with the results from the parallel particle image velocimetry and flowrate measurements, with relative differences smaller than 0.33% in volumetric flow rate in the ICA and relative errors smaller than 9.52% in averaged velocities in the complex aneurysmal sac. However, small differences between CFD and PIV in the near wall regions were observed due to the factors of slight differences in the 3D printed model, light reflection and refraction near arterial walls, and flow waveform uncertainties. The validated model not only can be further employed to investigate hemodynamic factors on the cerebral aneurysm pathophysiology statistically, but also provides a typical model and guidance for other professionals to evaluate the hemodynamic effects on cerebral aneurysms.

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Blood flow velocity using transcranial Doppler velocimetry in the middle and anterior cerebral arteries: correlation with sample volume depth

Cited by 8 publications

References 13 publications

Angle-Corrected Imaging Transcranial Doppler Sonography versus Imaging and Nonimaging Transcranial Doppler Sonography in Children with Sickle Cell Disease

Angle-Corrected Imaging Transcranial Doppler Sonography versus Imaging and Nonimaging Transcranial Doppler Sonography in Children with Sickle Cell Disease

A numerical study of isotropic and anisotropic constitutive models with relevance to healthy and unhealthy cerebral arterial tissues

Developing an in vitro validated 3D in silico internal carotid artery sidewall aneurysm model

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