Literature DB >> 19045518

Numerical simulations of flow in cerebral aneurysms: comparison of CFD results and in vivo MRI measurements.

Vitaliy L Rayz1, Loic Boussel, Gabriel Acevedo-Bolton, Alastair J Martin, William L Young, Michael T Lawton, Randall Higashida, David Saloner.   

Abstract

Computational fluid dynamics (CFD) methods can be used to compute the velocity field in patient-specific vascular geometries for pulsatile physiological flow. Those simulations require geometric and hemodynamic boundary values. The purpose of this study is to demonstrate that CFD models constructed from patient-specific magnetic resonance (MR) angiography and velocimetry data predict flow fields that are in good agreement with in vivo measurements and therefore can provide valuable information for clinicians. The effect of the inlet flow rate conditions on calculated velocity fields was investigated. We assessed the internal consistency of our approach by comparing CFD predictions of the in-plane velocity field to the corresponding in vivo MR velocimetry measurements. Patient-specific surface models of four basilar artery aneurysms were constructed from contrast-enhanced MR angiography data. CFD simulations were carried out in those models using patient-specific flow conditions extracted from MR velocity measurements of flow in the inlet vessels. The simulation results computed for slices through the vasculature of interest were compared with in-plane velocity measurements acquired with phase-contrast MR imaging in vivo. The sensitivity of the flow fields to inlet flow ratio variations was assessed by simulating five different inlet flow scenarios for each of the basilar aneurysm models. In the majority of cases, altering the inlet flow ratio caused major changes in the flow fields predicted in the aneurysm. A good agreement was found between the flow fields measured in vivo using the in-plane MR velocimetry technique and those predicted with CFD simulations. The study serves to demonstrate the consistency and reliability of both MR imaging and numerical modeling methods. The results demonstrate the clinical relevance of computational models and suggest that realistic patient-specific flow conditions are required for numerical simulations of the flow in aneurysmal blood vessels.

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Year:  2008        PMID: 19045518     DOI: 10.1115/1.2970056

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  23 in total

1.  Effects of arterial blood flow on walls of the abdominal aorta: distributions of wall shear stress and oscillatory shear index determined by phase-contrast magnetic resonance imaging.

Authors:  Koichi Sughimoto; Yoshiaki Shimamura; Chie Tezuka; Ken'ichi Tsubota; Hao Liu; Kenichiro Okumura; Yoshitada Masuda; Hideaki Haneishi
Journal:  Heart Vessels       Date:  2015-10-19       Impact factor: 2.037

Review 2.  Patient-specific modeling of cardiovascular mechanics.

Authors:  C A Taylor; C A Figueroa
Journal:  Annu Rev Biomed Eng       Date:  2009       Impact factor: 9.590

3.  In vivo validation of numerical prediction for turbulence intensity in an aortic coarctation.

Authors:  Amirhossein Arzani; Petter Dyverfeldt; Tino Ebbers; Shawn C Shadden
Journal:  Ann Biomed Eng       Date:  2011-10-21       Impact factor: 3.934

Review 4.  Current progress in patient-specific modeling.

Authors:  Maxwell Lewis Neal; Roy Kerckhoffs
Journal:  Brief Bioinform       Date:  2009-12-02       Impact factor: 11.622

5.  Toward improving fidelity of computational fluid dynamics simulations: boundary conditions matter.

Authors:  Christof Karmonik
Journal:  AJNR Am J Neuroradiol       Date:  2014-04-24       Impact factor: 3.825

6.  Computational modeling of flow-altering surgeries in basilar aneurysms.

Authors:  V L Rayz; A Abla; L Boussel; J R Leach; G Acevedo-Bolton; D Saloner; M T Lawton
Journal:  Ann Biomed Eng       Date:  2014-10-28       Impact factor: 3.934

7.  Computational Fluid Dynamics modeling of contrast transport in basilar aneurysms following flow-altering surgeries.

Authors:  Alireza Vali; Adib A Abla; Michael T Lawton; David Saloner; Vitaliy L Rayz
Journal:  J Biomech       Date:  2016-11-11       Impact factor: 2.712

8.  The manifestation of vortical and secondary flow in the cerebral venous outflow tract: An in vivo MR velocimetry study.

Authors:  Sarah Kefayati; Matthew Amans; Farshid Faraji; Megan Ballweber; Evan Kao; Sinyeob Ahn; Karl Meisel; Van Halbach; David Saloner
Journal:  J Biomech       Date:  2016-11-15       Impact factor: 2.712

9.  Comparison of blood velocity measurements between ultrasound Doppler and accelerated phase-contrast MR angiography in small arteries with disturbed flow.

Authors:  Jingfeng Jiang; Charles Strother; Kevin Johnson; Sara Baker; Dan Consigny; Oliver Wieben; James Zagzebski
Journal:  Phys Med Biol       Date:  2011-02-23       Impact factor: 3.609

10.  Numerical modeling of the flow in intracranial aneurysms: prediction of regions prone to thrombus formation.

Authors:  V L Rayz; L Boussel; M T Lawton; G Acevedo-Bolton; L Ge; W L Young; R T Higashida; D Saloner
Journal:  Ann Biomed Eng       Date:  2008-09-12       Impact factor: 3.934

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