Literature DB >> 18412502

PIV-measured versus CFD-predicted flow dynamics in anatomically realistic cerebral aneurysm models.

Matthew D Ford1, Hristo N Nikolov, Jaques S Milner, Stephen P Lownie, Edwin M Demont, Wojciech Kalata, Francis Loth, David W Holdsworth, David A Steinman.   

Abstract

Computational fluid dynamics (CFD) modeling of nominally patient-specific cerebral aneurysms is increasingly being used as a research tool to further understand the development, prognosis, and treatment of brain aneurysms. We have previously developed virtual angiography to indirectly validate CFD-predicted gross flow dynamics against the routinely acquired digital subtraction angiograms. Toward a more direct validation, here we compare detailed, CFD-predicted velocity fields against those measured using particle imaging velocimetry (PIV). Two anatomically realistic flow-through phantoms, one a giant internal carotid artery (ICA) aneurysm and the other a basilar artery (BA) tip aneurysm, were constructed of a clear silicone elastomer. The phantoms were placed within a computer-controlled flow loop, programed with representative flow rate waveforms. PIV images were collected on several anterior-posterior (AP) and lateral (LAT) planes. CFD simulations were then carried out using a well-validated, in-house solver, based on micro-CT reconstructions of the geometries of the flow-through phantoms and inlet/outlet boundary conditions derived from flow rates measured during the PIV experiments. PIV and CFD results from the central AP plane of the ICA aneurysm showed a large stable vortex throughout the cardiac cycle. Complex vortex dynamics, captured by PIV and CFD, persisted throughout the cardiac cycle on the central LAT plane. Velocity vector fields showed good overall agreement. For the BA, aneurysm agreement was more compelling, with both PIV and CFD similarly resolving the dynamics of counter-rotating vortices on both AP and LAT planes. Despite the imposition of periodic flow boundary conditions for the CFD simulations, cycle-to-cycle fluctuations were evident in the BA aneurysm simulations, which agreed well, in terms of both amplitudes and spatial distributions, with cycle-to-cycle fluctuations measured by PIV in the same geometry. The overall good agreement between PIV and CFD suggests that CFD can reliably predict the details of the intra-aneurysmal flow dynamics observed in anatomically realistic in vitro models. Nevertheless, given the various modeling assumptions, this does not prove that they are mimicking the actual in vivo hemodynamics, and so validations against in vivo data are encouraged whenever possible.

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Year:  2008        PMID: 18412502     DOI: 10.1115/1.2900724

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


  42 in total

1.  In Vitro Assessment of Flow Variability in an Intracranial Aneurysm Model Using 4D Flow MRI and Tomographic PIV.

Authors:  Rafael Medero; Katrina Ruedinger; David Rutkowski; Kevin Johnson; Alejandro Roldán-Alzate
Journal:  Ann Biomed Eng       Date:  2020-06-10       Impact factor: 3.934

2.  Regional Mapping of Flow and Wall Characteristics of Intracranial Aneurysms.

Authors:  Juan R Cebral; Xinjie Duan; Piyusha S Gade; Bong Jae Chung; Fernando Mut; Khaled Aziz; Anne M Robertson
Journal:  Ann Biomed Eng       Date:  2016-06-27       Impact factor: 3.934

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

4.  Flow Instability Detected by High-Resolution Computational Fluid Dynamics in Fifty-Six Middle Cerebral Artery Aneurysms.

Authors:  Nicole Varble; Jianping Xiang; Ning Lin; Elad Levy; Hui Meng
Journal:  J Biomech Eng       Date:  2016-06       Impact factor: 2.097

5.  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

6.  Rest versus exercise hemodynamics for middle cerebral artery aneurysms: a computational study.

Authors:  T J Bowker; P N Watton; P E Summers; J V Byrne; Y Ventikos
Journal:  AJNR Am J Neuroradiol       Date:  2009-12-03       Impact factor: 3.825

7.  Experimental insights into flow impingement in cerebral aneurysm by stereoscopic particle image velocimetry: transition from a laminar regime.

Authors:  Takanobu Yagi; Ayaka Sato; Manabu Shinke; Sara Takahashi; Yasutaka Tobe; Hiroyuki Takao; Yuichi Murayama; Mitsuo Umezu
Journal:  J R Soc Interface       Date:  2013-02-20       Impact factor: 4.118

8.  Methodology for Computational Fluid Dynamic Validation for Medical Use: Application to Intracranial Aneurysm.

Authors:  Nikhil Paliwal; Robert J Damiano; Nicole A Varble; Vincent M Tutino; Zhongwang Dou; Adnan H Siddiqui; Hui Meng
Journal:  J Biomech Eng       Date:  2017-12-01       Impact factor: 2.097

9.  Simulations of time harmonic blood flow in the Mesenteric artery: comparing finite element and lattice Boltzmann methods.

Authors:  Lilit Axner; Alfons G Hoekstra; Adam Jeays; Pat Lawford; Rod Hose; Peter M A Sloot
Journal:  Biomed Eng Online       Date:  2009-10-02       Impact factor: 2.819

10.  The role of computational fluid dynamics in the management of unruptured intracranial aneurysms: a clinicians' view.

Authors:  Pankaj K Singh; Alberto Marzo; Stuart C Coley; Guntram Berti; Philippe Bijlenga; Patricia V Lawford; Mari-Cruz Villa-Uriol; Daniel A Rufenacht; Keith M McCormack; Alejandro Frangi; Umang J Patel; D Rodney Hose
Journal:  Comput Intell Neurosci       Date:  2009-08-19
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