Literature DB >> 27806613

Transitional hemodynamics in intracranial aneurysms - Comparative velocity investigations with high resolution lattice Boltzmann simulations, normal resolution ANSYS simulations, and MR imaging.

Kartik Jain1, Jingfeng Jiang2, Charles Strother3, Kent-André Mardal4.   

Abstract

PURPOSE: Blood flow in intracranial aneurysms has, until recently, been considered to be disturbed but still laminar. Recent high resolution computational studies have demonstrated, in some situations, however, that the flow may exhibit high frequency fluctuations that resemble weakly turbulent or transitional flow. Due to numerous assumptions required for simplification in computational fluid dynamics (CFD) studies, the occurrence of these events, in vivo, remains unsettled. The detection of these fluctuations in aneurysmal blood flow, i.e., hemodynamics by CFD, poses additional challenges as such phenomena cannot be captured in clinical data acquisition with magnetic resonance (MR) due to inadequate temporal and spatial resolutions. The authors' purpose was to address this issue by comparing results from highly resolved simulations, conventional resolution laminar simulations, and MR measurements, identify the differences, and identify their causes.
METHODS: Two aneurysms in the basilar artery, one with disturbed yet laminar flow and the other with transitional flow, were chosen. One set of highly resolved direct numerical simulations using the lattice Boltzmann method (LBM) and another with adequate resolutions under laminar flow assumption were conducted using a commercially available ANSYS Fluent solver. The velocity fields obtained from simulation results were qualitatively and statistically compared against each other and with MR acquisition.
RESULTS: Results from LBM, ANSYS Fluent, and MR agree well qualitatively and quantitatively for one of the aneurysms with laminar flow in which fluctuations were <80 Hz. The comparisons for the second aneurysm with high fluctuations of > ∼ 600 Hz showed vivid differences between LBM, ANSYS Fluent, and magnetic resonance imaging. After ensemble averaging and down-sampling to coarser space and time scales, these differences became minimal.
CONCLUSIONS: A combination of MR derived data and CFD can be helpful in estimating the hemodynamic environment of intracranial aneurysms. Adequately resolved CFD would suffice gross assessment of hemodynamics, potentially in a clinical setting, and highly resolved CFD could be helpful in a detailed and retrospective understanding of the physiological mechanisms.

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Year:  2016        PMID: 27806613     DOI: 10.1118/1.4964793

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  9 in total

1.  Quantitative analysis of flow vortices: differentiation of unruptured and ruptured medium-sized middle cerebral artery aneurysms.

Authors:  K Sunderland; M Wang; A S Pandey; J Gemmete; Q Huang; A Goudge; J Jiang
Journal:  Acta Neurochir (Wien)       Date:  2020-10-17       Impact factor: 2.216

Review 2.  Disturbed flow's impact on cellular changes indicative of vascular aneurysm initiation, expansion, and rupture: A pathological and methodological review.

Authors:  Kevin Sunderland; Jingfeng Jiang; Feng Zhao
Journal:  J Cell Physiol       Date:  2021-09-06       Impact factor: 6.384

3.  Hemodynamic characteristics in a cerebral aneurysm model using non-Newtonian blood analogues.

Authors:  Hang Yi; Zifeng Yang; Mark Johnson; Luke Bramlage; Bryan Ludwig
Journal:  Phys Fluids (1994)       Date:  2022-10-03       Impact factor: 4.980

4.  Multi-modality cerebral aneurysm haemodynamic analysis: in vivo 4D flow MRI, in vitro volumetric particle velocimetry and in silico computational fluid dynamics.

Authors:  Melissa C Brindise; Sean Rothenberger; Benjamin Dickerhoff; Susanne Schnell; Michael Markl; David Saloner; Vitaliy L Rayz; Pavlos P Vlachos
Journal:  J R Soc Interface       Date:  2019-09-11       Impact factor: 4.118

5.  Clinical value of homodynamic numerical simulation applied in the treatment of cerebral aneurysm.

Authors:  Hailin Zhang; Li Li; Chongjie Cheng; Xiaochuan Sun
Journal:  Exp Ther Med       Date:  2017-09-22       Impact factor: 2.447

6.  Validation of Patient-Specific Cerebral Blood Flow Simulation Using Transcranial Doppler Measurements.

Authors:  Derek Groen; Robin A Richardson; Rachel Coy; Ulf D Schiller; Hoskote Chandrashekar; Fergus Robertson; Peter V Coveney
Journal:  Front Physiol       Date:  2018-06-19       Impact factor: 4.566

7.  Numerical study on the energy cascade of pulsatile Newtonian and power-law flow models in an ICA bifurcation.

Authors:  Samar A Mahrous; Nor Azwadi Che Sidik; Khalid M Saqr
Journal:  PLoS One       Date:  2021-01-25       Impact factor: 3.240

8.  On the numerical treatment of viscous and convective effects in relative pressure reconstruction methods.

Authors:  Douglas R Q Pacheco
Journal:  Int J Numer Method Biomed Eng       Date:  2021-12-17       Impact factor: 2.648

9.  Physiologic blood flow is turbulent.

Authors:  Khalid M Saqr; Simon Tupin; Sherif Rashad; Toshiki Endo; Kuniyasu Niizuma; Teiji Tominaga; Makoto Ohta
Journal:  Sci Rep       Date:  2020-09-23       Impact factor: 4.379

  9 in total

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