Literature DB >> 22047395

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

Jingfeng Jiang1, Kevin Johnson, Kristian Valen-Sendstad, Kent-Andre Mardal, Oliver Wieben, Charles Strother.   

Abstract

PURPOSE: Our purpose was to compare quantitatively velocity fields in and around experimental canine aneurysms as measured using an accelerated 4D PC-MR angiography (MRA) method and calculated based on animal-specific CFD simulations.
METHODS: Two animals with a surgically created bifurcation aneurysm were imaged using an accelerated 4D PC-MRA method. Meshes were created based on the geometries obtained from the PC-MRA and simulations using "subject-specific" pulsatile velocity waveforms and geometries were then solved using a commercial CFD solver. Qualitative visual assessments and quantitative comparisons of the time-resolved velocity fields obtained from the PC-MRA measurements and the CFD simulations were performed using a defined similarity metric combining both angular and magnitude differences of vector fields.
RESULTS: PC-MRA and image-based CFD not only yielded visually consistent representations of 3D streamlines in and around both aneurysms, but also showed good agreement with regard to the spatial velocity distributions. The estimated similarity between time-resolved velocity fields from both techniques was reasonably high (mean value >0.60; one being the highest and zero being the lowest). Relative differences in inflow and outflow zones among selected planes were also reasonable (on the order of 10%-20%). The correlation between CFD-calculated and PC-MRA-measured time-averaged wall shear stresses was low (0.22 and 0.31, p < 0.001).
CONCLUSIONS: In two experimental canine aneurysms, PC-MRA and image-based CFD showed favorable agreement in intra-aneurismal velocity fields. Combining these two complementary techniques likely will further improve the ability to characterize and interpret the complex flow that occurs in human intracranial aneurysms.

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Year:  2011        PMID: 22047395      PMCID: PMC3223510          DOI: 10.1118/1.3652917

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


  47 in total

1.  Phase contrast MRI with improved temporal resolution by view sharing: k-space related velocity mapping properties.

Authors:  M Markl; J Hennig
Journal:  Magn Reson Imaging       Date:  2001-06       Impact factor: 2.546

2.  MRI measurement of wall shear stress vectors in bifurcation models and comparison with CFD predictions.

Authors:  U Köhler; I Marshall; M B Robertson; Q Long; X Y Xu; P R Hoskins
Journal:  J Magn Reson Imaging       Date:  2001-11       Impact factor: 4.813

3.  Effects of wall motion and compliance on flow patterns in the ascending aorta.

Authors:  Suo Jin; John Oshinski; Don P Giddens
Journal:  J Biomech Eng       Date:  2003-06       Impact factor: 2.097

4.  Aneurysm rupture following treatment with flow-diverting stents: computational hemodynamics analysis of treatment.

Authors:  J R Cebral; F Mut; M Raschi; E Scrivano; R Ceratto; P Lylyk; C M Putman
Journal:  AJNR Am J Neuroradiol       Date:  2010-11-11       Impact factor: 3.825

5.  Reproducibility of wall shear stress assessment with the paraboloid method in the internal carotid artery with velocity encoded MRI in healthy young individuals.

Authors:  Frieke M A Box; Rob J van der Geest; Jeroen van der Grond; Matthias J P van Osch; Aeilko H Zwinderman; Inge H Palm-Meinders; Joost Doornbos; Gerard-Jan Blauw; Mark A van Buchem; Johan H C Reiber
Journal:  J Magn Reson Imaging       Date:  2007-09       Impact factor: 4.813

6.  4D phase contrast MRI at 3 T: effect of standard and blood-pool contrast agents on SNR, PC-MRA, and blood flow visualization.

Authors:  Jelena Bock; Alex Frydrychowicz; Aurélien F Stalder; Thorsten A Bley; Hans Burkhardt; Jürgen Hennig; Michael Markl
Journal:  Magn Reson Med       Date:  2010-02       Impact factor: 4.668

7.  Pulsatile increases in aneurysm size determined by cine phase-contrast MR angiography.

Authors:  F B Meyer; J Huston; S S Riederer
Journal:  J Neurosurg       Date:  1993-06       Impact factor: 5.115

8.  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

9.  Image-based computational simulation of flow dynamics in a giant intracranial aneurysm.

Authors:  David A Steinman; Jaques S Milner; Chris J Norley; Stephen P Lownie; David W Holdsworth
Journal:  AJNR Am J Neuroradiol       Date:  2003-04       Impact factor: 3.825

10.  Assessment of fluctuating velocities in disturbed cardiovascular blood flow: in vivo feasibility of generalized phase-contrast MRI.

Authors:  Petter Dyverfeldt; John-Peder Escobar Kvitting; Andreas Sigfridsson; Jan Engvall; Ann F Bolger; Tino Ebbers
Journal:  J Magn Reson Imaging       Date:  2008-09       Impact factor: 4.813

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  8 in total

1.  3D cine phase-contrast MRI at 3T in intracranial aneurysms compared with patient-specific computational fluid dynamics.

Authors:  P van Ooij; J J Schneiders; H A Marquering; C B Majoie; E van Bavel; A J Nederveen
Journal:  AJNR Am J Neuroradiol       Date:  2013-04-18       Impact factor: 3.825

2.  Magnetic resonance imaging as a tool to assess reliability in simulating hemodynamics in cerebral aneurysms with a dedicated computational fluid dynamics prototype: preliminary results.

Authors:  Christof Karmonik; Y Jonathan Zhang; Orlando Diaz; Richard Klucznik; Sasan Partovi; Robert G Grossman; Gavin W Britz
Journal:  Cardiovasc Diagn Ther       Date:  2014-04

3.  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

4.  Inflow Jet Patterns of Unruptured Cerebral Aneurysms Based on the Flow Velocity in the Parent Artery: Evaluation Using 4D Flow MRI.

Authors:  K Futami; T Kitabayashi; H Sano; K Misaki; N Uchiyama; F Ueda; M Nakada
Journal:  AJNR Am J Neuroradiol       Date:  2016-02-18       Impact factor: 3.825

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.  Vortex Analysis of Intra-Aneurismal Flow in Cerebral Aneurysms.

Authors:  Kevin Sunderland; Christopher Haferman; Gouthami Chintalapani; Jingfeng Jiang
Journal:  Comput Math Methods Med       Date:  2016-11-07       Impact factor: 2.238

Review 7.  4D flow cardiovascular magnetic resonance consensus statement.

Authors:  Petter Dyverfeldt; Malenka Bissell; Alex J Barker; Ann F Bolger; Carl-Johan Carlhäll; Tino Ebbers; Christopher J Francios; Alex Frydrychowicz; Julia Geiger; Daniel Giese; Michael D Hope; Philip J Kilner; Sebastian Kozerke; Saul Myerson; Stefan Neubauer; Oliver Wieben; Michael Markl
Journal:  J Cardiovasc Magn Reson       Date:  2015-08-10       Impact factor: 5.364

8.  Role of patient-specific blood properties in computational fluid dynamics simulation of flow diverter deployed cerebral aneurysms.

Authors:  Yuya Uchiyama; Soichiro Fujimura; Hiroyuki Takao; Takashi Suzuki; Toshihiro Ishibashi; Katharina Otani; Kostadin Karagiozov; Koji Fukudome; Hideki Yamamoto; Makoto Yamamoto; Yuichi Murayama
Journal:  Technol Health Care       Date:  2022       Impact factor: 1.205

  8 in total

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