Literature DB >> 30967744

A non-dimensional parameter for classification of the flow in intracranial aneurysms. I. Simplified geometries.

Hafez Asgharzadeh1, Iman Borazjani.   

Abstract

Non-dimensional parameters are routinely used to classify different flow regimes. We propose a non-dimensional parameter, called Aneurysm number (An), which depends on both geometric and flow characteristics, to classify the flow inside aneurysm-like geometries (sidewalls and bifurcations). The flow inside aneurysm-like geometries can be widely classified into (i) the vortex mode in which a vortex ring is formed and (ii) the cavity mode in which a stationary shear layer acts similar to a moving lid of a lid-driven cavity. In these modes, two competing time scales exist: (a) a transport time scale, T t , which is the time scale to develop a shear layer by transporting a fluid particle across the expansion region, and (b) the vortex formation time scale, T v . Consequently, a relevant non-dimensional parameter is the ratio of these two time scales, which is called Aneurysm number: An = T t / T v . It is hypothesized, based on this definition, that the flow is in the vortex mode if the time required for vortex ring formation T v is less than the transport time T t (An ≳ 1). Otherwise, the flow is in the cavity mode (An ≲ 1). This hypothesis is systematically tested through numerical simulations on simplified geometries and shown to be true through flow visualizations and identification of the main vortex and shear layer. The main vortex is shown to evolve when An ≳ 1 but stationary when An ≲ 1. In fact, it is shown that the flows with An ≲ 1 (cavity mode) are characterized by much smaller fluctuations of wall shear stress and oscillatory shear index relative to flows with An ≳ 1 (vortex mode) because of their quasi-stationary flow pattern (cavity mode) compared to the evolution and breakdown of the formed vortex ring (vortex mode).

Entities:  

Year:  2019        PMID: 30967744      PMCID: PMC6435374          DOI: 10.1063/1.5033942

Source DB:  PubMed          Journal:  Phys Fluids (1994)        ISSN: 1070-6631            Impact factor:   3.521


  34 in total

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Authors:  Tomoki Hashimoto; Hui Meng; William L Young
Journal:  Neurol Res       Date:  2006-06       Impact factor: 2.448

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Journal:  J Comput Phys       Date:  2007-08       Impact factor: 3.553

3.  Numerical investigation of the hydrodynamics of carangiform swimming in the transitional and inertial flow regimes.

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4.  Characterization of cerebral aneurysms for assessing risk of rupture by using patient-specific computational hemodynamics models.

Authors:  Juan R Cebral; Marcelo A Castro; James E Burgess; Richard S Pergolizzi; Michael J Sheridan; Christopher M Putman
Journal:  AJNR Am J Neuroradiol       Date:  2005 Nov-Dec       Impact factor: 3.825

5.  Arterial pulsatility as an index of cerebral microangiopathy in diabetes.

Authors:  K Y Lee; Y H Sohn; J S Baik; G W Kim; J S Kim
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6.  Quantified aneurysm shape and rupture risk.

Authors:  Madhavan L Raghavan; Baoshun Ma; Robert E Harbaugh
Journal:  J Neurosurg       Date:  2005-02       Impact factor: 5.115

7.  Evaluation of intracranial stenoses and aneurysms with accelerated 4D flow.

Authors:  Thomas A Hope; Michael D Hope; Derk D Purcell; Cornelius von Morze; Daniel B Vigneron; Marcus T Alley; William P Dillon
Journal:  Magn Reson Imaging       Date:  2009-07-03       Impact factor: 2.546

8.  The effect of asymmetry in abdominal aortic aneurysms under physiologically realistic pulsatile flow conditions.

Authors:  E A Finol; K Keyhani; C H Amon
Journal:  J Biomech Eng       Date:  2003-04       Impact factor: 2.097

9.  Wall shear stress on ruptured and unruptured intracranial aneurysms at the internal carotid artery.

Authors:  L-D Jou; D H Lee; H Morsi; M E Mawad
Journal:  AJNR Am J Neuroradiol       Date:  2008-07-03       Impact factor: 3.825

10.  Hemodynamic patterns of anterior communicating artery aneurysms: a possible association with rupture.

Authors:  M A Castro; C M Putman; M J Sheridan; J R Cebral
Journal:  AJNR Am J Neuroradiol       Date:  2009-01-08       Impact factor: 3.825

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  3 in total

1.  A Simple Flow Classification Parameter Can Discriminate Rupture Status in Intracranial Aneurysms.

Authors:  Hafez Asgharzadeh; Ali Shahmohammadi; Nicole Varble; Elad I Levy; Hui Meng; Iman Borazjani
Journal:  Neurosurgery       Date:  2020-10-15       Impact factor: 4.654

2.  Cyclic Mechanical Stresses Alter Erythrocyte Membrane Composition and Microstructure and Trigger Macrophage Phagocytosis.

Authors:  Antoni Garcia-Herreros; Yi-Ting Yeh; Zhangli Peng; Juan C Del Álamo
Journal:  Adv Sci (Weinh)       Date:  2022-05-04       Impact factor: 17.521

3.  On the accuracy of displacement-based wave intensity analysis: Effect of vessel wall viscoelasticity and nonlinearity.

Authors:  Jingyi Kang; Arian Aghilinejad; Niema M Pahlevan
Journal:  PLoS One       Date:  2019-11-01       Impact factor: 3.240

  3 in total

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