Literature DB >> 24292415

Cerebral blood flow in a healthy Circle of Willis and two intracranial aneurysms: computational fluid dynamics versus four-dimensional phase-contrast magnetic resonance imaging.

Philipp Berg, Daniel Stucht, Gábor Janiga, Oliver Beuing, Oliver Speck, Dominique Thévenin.   

Abstract

Computational fluid dynamics (CFD) opens up multiple opportunities to investigate the hemodynamics of the human vascular system. However, due to numerous assumptions the acceptance of CFD among physicians is still limited in practice and validation through comparison is mandatory. Time-dependent quantitative phase-contrast magnetic resonance imaging PC-MRI measurements in a healthy volunteer and two intracranial aneurysms were carried out at 3 and 7 Tesla. Based on the acquired images, three-dimensional (3D) models of the aneurysms were reconstructed and used for the numerical simulations. Flow information from the MR measurements were applied as boundary conditions. The four-dimensional (4D) velocity fields obtained by CFD and MRI were qualitatively as well as quantitatively compared including cut planes and vector analyses. For all cases a high similarity of the velocity patterns was observed. Additionally, the quantitative analysis revealed a good agreement between CFD and MRI. Deviations were caused by minor differences between the reconstructed vessel models and the actual lumen. The comparisons between diastole and systole indicate that relative differences between MRI and CFD are intensified with increasing velocity. The findings of this study lead to the conclusion that CFD and MRI agree well in predicting intracranial velocities when realistic geometries and boundary conditions are provided. Due to the considerably higher temporal and spatial resolution of CFD compared to MRI, complex flow patterns can be further investigated in order to evaluate their role with respect to aneurysm formation or rupture. Nevertheless, special care is required regarding the vessel reconstruction since the geometry has a major impact on the subsequent numerical results.

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Year:  2014        PMID: 24292415     DOI: 10.1115/1.4026108

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


  27 in total

1.  Flow-splitting-based computation of outlet boundary conditions for improved cerebrovascular simulation in multiple intracranial aneurysms.

Authors:  Sylvia Saalfeld; Samuel Voß; Oliver Beuing; Bernhard Preim; Philipp Berg
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-07-30       Impact factor: 2.924

2.  Multiple intracranial aneurysms: a direct hemodynamic comparison between ruptured and unruptured vessel malformations.

Authors:  Philipp Berg; Oliver Beuing
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-07-21       Impact factor: 2.924

3.  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

4.  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

5.  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

6.  Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH)-phase II: rupture risk assessment.

Authors:  Philipp Berg; Samuel Voß; Gábor Janiga; Sylvia Saalfeld; Aslak W Bergersen; Kristian Valen-Sendstad; Jan Bruening; Leonid Goubergrits; Andreas Spuler; Tin Lok Chiu; Anderson Chun On Tsang; Gabriele Copelli; Benjamin Csippa; György Paál; Gábor Závodszky; Felicitas J Detmer; Bong J Chung; Juan R Cebral; Soichiro Fujimura; Hiroyuki Takao; Christof Karmonik; Saba Elias; Nicole M Cancelliere; Mehdi Najafi; David A Steinman; Vitor M Pereira; Senol Piskin; Ender A Finol; Mariya Pravdivtseva; Prasanth Velvaluri; Hamidreza Rajabzadeh-Oghaz; Nikhil Paliwal; Hui Meng; Santhosh Seshadhri; Sreenivas Venguru; Masaaki Shojima; Sergey Sindeev; Sergey Frolov; Yi Qian; Yu-An Wu; Kent D Carlson; David F Kallmes; Dan Dragomir-Daescu; Oliver Beuing
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-05-03       Impact factor: 2.924

Review 7.  Four-dimensional MRI flow examinations in cerebral and extracerebral vessels - ready for clinical routine?

Authors:  Susanne Schnell; Can Wu; Sameer A Ansari
Journal:  Curr Opin Neurol       Date:  2016-08       Impact factor: 5.710

8.  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

9.  Towards high-resolution 4D flow MRI in the human aorta using kt-GRAPPA and B1+ shimming at 7T.

Authors:  Sebastian Schmitter; Susanne Schnell; Kâmil Uğurbil; Michael Markl; Pierre-François Van de Moortele
Journal:  J Magn Reson Imaging       Date:  2016-02-03       Impact factor: 4.813

10.  Assessment of cerebrovascular responses to physiological stimuli in identical twins using multimodal imaging and computational fluid dynamics.

Authors:  Hannah J Thomas; Usaid Rana; Channa E Marsh; Harrison T Caddy; Lachlan J Kelsey; Kurt J Smith; Daniel J Green; Barry J Doyle
Journal:  J Appl Physiol (1985)       Date:  2020-09-03
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