Literature DB >> 19967532

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

Haruo Isoda1, Yasuhide Ohkura, Takashi Kosugi, Masaya Hirano, Marcus T Alley, Roland Bammer, Norbert J Pelc, Hiroki Namba, Harumi Sakahara.   

Abstract

INTRODUCTION: Hemodynamics is thought to play a very important role in the initiation, growth, and rupture of intracranial aneurysms. The purpose of our study was to compare hemodynamics of intracranial aneurysms of MR fluid dynamics (MRFD) using 3D cine PC MR imaging (4D-Flow) at 1.5 T and MR-based computational fluid dynamics (CFD).
METHODS: 4D-Flow was performed for five intracranial aneurysms by a 1.5 T MR scanner. 3D TOF MR angiography was performed for geometric information. The blood flow in the aneurysms was modeled using CFD simulation based on the finite element method. We used MR angiographic data as the vascular models and MR flow information as boundary conditions in CFD. 3D velocity vector fields, 3D streamlines, shearing velocity maps, wall shear stress (WSS) distribution maps and oscillatory shear index (OSI) distribution maps were obtained by MRFD and CFD and were compared.
RESULTS: There was a moderate to high degree of correlation in 3D velocity vector fields and a low to moderate degree of correlation in WSS of aneurysms between MRFD and CFD using regression analysis. The patterns of 3D streamlines were similar between MRFD and CFD. The small and rotating shearing velocities and higher OSI were observed at the top of the spiral flow in the aneurysms. The pattern and location of shearing velocity in MRFD and CFD were similar. The location of high oscillatory shear index obtained by MRFD was near to that obtained by CFD.
CONCLUSION: MRFD and CFD of intracranial aneurysms correlated fairly well.

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Year:  2009        PMID: 19967532      PMCID: PMC3985813          DOI: 10.1007/s00234-009-0634-4

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  28 in total

1.  MRI measurement of time-resolved wall shear stress vectors in a carotid bifurcation model, and comparison with CFD predictions.

Authors:  Panorea Papathanasopoulou; Shunzhi Zhao; Uwe Köhler; Malcolm B Robertson; Quan Long; Peter Hoskins; X Yun Xu; Ian Marshall
Journal:  J Magn Reson Imaging       Date:  2003-02       Impact factor: 4.813

2.  Comparative study of magnetic resonance imaging and image-based computational fluid dynamics for quantification of pulsatile flow in a carotid bifurcation phantom.

Authors:  S Z Zhao; P Papathanasopoulou; Q Long; I Marshall; X Y Xu
Journal:  Ann Biomed Eng       Date:  2003-09       Impact factor: 3.934

3.  MRI and CFD studies of pulsatile flow in healthy and stenosed carotid bifurcation models.

Authors:  Ian Marshall; Shunzhi Zhao; Panorea Papathanasopoulou; Peter Hoskins; Yun Xu
Journal:  J Biomech       Date:  2004-05       Impact factor: 2.712

4.  Hemodynamic shear stress and its role in atherosclerosis.

Authors:  A M Malek; S L Alper; S Izumo
Journal:  JAMA       Date:  1999-12-01       Impact factor: 56.272

5.  Pulsatile flow in the human left coronary artery bifurcation: average conditions.

Authors:  X He; D N Ku
Journal:  J Biomech Eng       Date:  1996-02       Impact factor: 2.097

6.  Magnitude and role of wall shear stress on cerebral aneurysm: computational fluid dynamic study of 20 middle cerebral artery aneurysms.

Authors:  Masaaki Shojima; Marie Oshima; Kiyoshi Takagi; Ryo Torii; Motoharu Hayakawa; Kazuhiro Katada; Akio Morita; Takaaki Kirino
Journal:  Stroke       Date:  2004-11       Impact factor: 7.914

7.  Aneurysm growth occurs at region of low wall shear stress: patient-specific correlation of hemodynamics and growth in a longitudinal study.

Authors:  Loic Boussel; Vitaliy Rayz; Charles McCulloch; Alastair Martin; Gabriel Acevedo-Bolton; Michael Lawton; Randall Higashida; Wade S Smith; William L Young; David Saloner
Journal:  Stroke       Date:  2008-08-07       Impact factor: 7.914

8.  Computational replicas: anatomic reconstructions of cerebral vessels as volume numerical grids at three-dimensional angiography.

Authors:  Tamer Hassan; Eugene V Timofeev; Tsutomu Saito; Hiroaki Shimizu; Masayuki Ezura; Teiji Tominaga; Akira Takahashi; Kazuyoshi Takayama
Journal:  AJNR Am J Neuroradiol       Date:  2004-09       Impact factor: 3.825

9.  Time-resolved three-dimensional phase-contrast MRI.

Authors:  Michael Markl; Frandics P Chan; Marcus T Alley; Kris L Wedding; Mary T Draney; Chris J Elkins; David W Parker; Ryan Wicker; Charles A Taylor; Robert J Herfkens; Norbert J Pelc
Journal:  J Magn Reson Imaging       Date:  2003-04       Impact factor: 4.813

10.  Accuracy of computational hemodynamics in complex arterial geometries reconstructed from magnetic resonance imaging.

Authors:  J A Moore; D A Steinman; D W Holdsworth; C R Ethier
Journal:  Ann Biomed Eng       Date:  1999 Jan-Feb       Impact factor: 3.934

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  19 in total

1.  Computational modeling and flow diverters: a teaching moment.

Authors:  D A Steinman
Journal:  AJNR Am J Neuroradiol       Date:  2011-05-26       Impact factor: 3.825

2.  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

Review 3.  4D flow imaging: current status to future clinical applications.

Authors:  Michael Markl; Susanne Schnell; Alex J Barker
Journal:  Curr Cardiol Rep       Date:  2014-05       Impact factor: 2.931

4.  Inflow hemodynamics evaluated by using four-dimensional flow magnetic resonance imaging and the size ratio of unruptured cerebral aneurysms.

Authors:  Kazuya Futami; Iku Nambu; Tomohiro Kitabayashi; Hiroki Sano; Kouichi Misaki; Naoyuki Uchiyama; Mitsutoshi Nakada
Journal:  Neuroradiology       Date:  2017-03-07       Impact factor: 2.804

5.  Reproducibility and interobserver variability of systolic blood flow velocity and 3D wall shear stress derived from 4D flow MRI in the healthy aorta.

Authors:  Pim van Ooij; Alexander L Powell; Wouter V Potters; James C Carr; Michael Markl; Alex J Barker
Journal:  J Magn Reson Imaging       Date:  2015-07-03       Impact factor: 4.813

6.  Parent artery curvature influences inflow zone location of unruptured sidewall internal carotid artery aneurysms.

Authors:  K Futami; H Sano; T Kitabayashi; K Misaki; M Nakada; N Uchiyama; F Ueda
Journal:  AJNR Am J Neuroradiol       Date:  2014-09-18       Impact factor: 3.825

7.  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

8.  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

9.  In vivo hemodynamic analysis of intracranial aneurysms obtained by magnetic resonance fluid dynamics (MRFD) based on time-resolved three-dimensional phase-contrast MRI.

Authors:  Haruo Isoda; Yasuhide Ohkura; Takashi Kosugi; Masaya Hirano; Hiroyasu Takeda; Hisaya Hiramatsu; Shuhei Yamashita; Yasuo Takehara; Marcus T Alley; Roland Bammer; Norbert J Pelc; Hiroki Namba; Harumi Sakahara
Journal:  Neuroradiology       Date:  2009-12-11       Impact factor: 2.804

Review 10.  Advanced flow MRI: emerging techniques and applications.

Authors:  M Markl; S Schnell; C Wu; E Bollache; K Jarvis; A J Barker; J D Robinson; C K Rigsby
Journal:  Clin Radiol       Date:  2016-03-02       Impact factor: 2.350

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