Literature DB >> 18487858

Comparison of velocity patterns in an AComA aneurysm measured with 2D phase contrast MRI and simulated with CFD.

Christof Karmonik1, Richard Klucznik, Goetz Benndorf.   

Abstract

OBJECTIVE: Computational Fluid Dynamic (CFD) is increasingly being used for modeling hemodynamics in intracranial aneurysms. While CFD techniques are well established, need for validation of the results remains. By quantifying features in velocity patterns measured with 2D phase contrast magnetic resonance (pcMRI) in vivo and simulated with CFD, the role of pcMRI for providing reference data for the CFD simulation is explored.
METHODS: Unsteady CFD simulations were performed with inflow boundary conditions obtained from 2D pcMRI measurements of an aneurysm of the anterior communication artery. Intra-aneurysmal velocity profiles were recorded with 2D pcMRI and calculated with CFD. Relative areas of positive and negative velocity were calculated in these profiles for maximum and minimum inflow.
RESULTS: Areas of positive and of negative velocity similar in shape were found in the velocity profiles obtained with both methods. Relative difference in size of the relative areas for the whole cardiac cycle ranged from 1%-25% (average 12%).
CONCLUSION: 2D pcMRI is able to record velocity profiles in an aneurysm of the anterior commuting artery in vivo. These velocity profiles can serve as reference data for validation of CFD simulations. Further studies are needed to explore the role of pcMRI in the context of CFD simulations.

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Year:  2008        PMID: 18487858

Source DB:  PubMed          Journal:  Technol Health Care        ISSN: 0928-7329            Impact factor:   1.285


  7 in total

1.  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

2.  Flow characteristics in a canine aneurysm model: a comparison of 4D accelerated phase-contrast MR measurements and computational fluid dynamics simulations.

Authors:  Jingfeng Jiang; Kevin Johnson; Kristian Valen-Sendstad; Kent-Andre Mardal; Oliver Wieben; Charles Strother
Journal:  Med Phys       Date:  2011-11       Impact factor: 4.071

3.  Merging computational fluid dynamics and 4D Flow MRI using proper orthogonal decomposition and ridge regression.

Authors:  Ali Bakhshinejad; Ahmadreza Baghaie; Alireza Vali; David Saloner; Vitaliy L Rayz; Roshan M D'Souza
Journal:  J Biomech       Date:  2017-05-17       Impact factor: 2.712

4.  Comparison of hemodynamics of intracranial aneurysms between MR fluid dynamics using 3D cine phase-contrast MRI and MR-based computational fluid dynamics.

Authors:  Haruo Isoda; Yasuhide Ohkura; Takashi Kosugi; Masaya Hirano; Marcus T Alley; Roland Bammer; Norbert J Pelc; Hiroki Namba; Harumi Sakahara
Journal:  Neuroradiology       Date:  2009-12-05       Impact factor: 2.804

5.  Intra-aneurysmal flow patterns: illustrative comparison among digital subtraction angiography, optical flow, and computational fluid dynamics.

Authors:  O Brina; R Ouared; O Bonnefous; F van Nijnatten; P Bouillot; P Bijlenga; K Schaller; K-O Lovblad; T Grünhagen; D Ruijters; V Mendes Pereira
Journal:  AJNR Am J Neuroradiol       Date:  2014-07-31       Impact factor: 3.825

6.  Effect of bifurcation angle configuration and ratio of daughter diameters on hemodynamics of bifurcation aneurysms.

Authors:  A Farnoush; A Avolio; Y Qian
Journal:  AJNR Am J Neuroradiol       Date:  2012-08-02       Impact factor: 3.825

Review 7.  Understanding the role of hemodynamics in the initiation, progression, rupture, and treatment outcome of cerebral aneurysm from medical image-based computational studies.

Authors:  Marcelo A Castro
Journal:  ISRN Radiol       Date:  2013-07-02
  7 in total

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