Literature DB >> 17564178

Sensitivity of patient-specific numerical simulation of cerebal aneurysm hemodynamics to inflow boundary conditions.

Prem Venugopal1, Daniel Valentino, Holger Schmitt, J Pablo Villablanca, Fernando Viñuela, Gary Duckwiler.   

Abstract

OBJECT: Due to the difficulty of obtaining patient-specific velocity measurements during imaging, many assumptions have to be made while imposing inflow boundary conditions in numerical simulations conducted using patient-specific, imaging-based cerebral aneurysm models. These assumptions can introduce errors, resulting in lack of agreement between the computed flow fields and the true blood flow in the patient. The purpose of this study is to evaluate the effect of the assumptions made while imposing inflow boundary conditions on aneurysmal hemodynamics.
METHODS: A patient-based anterior communicating artery aneurysm model was selected for this study. The effects of various inflow parameters on numerical simulations conducted using this model were then investigated by varying these parameters over ranges reported in the literature. Specifically, we investigated the effects of heart and blood flow rates as well as the distribution of flow rates in the A1 segments of the anterior cerebral artery. The simulations revealed that the shear stress distributions on the aneurysm surface were largely unaffected by changes in heart rate except at locations where the shear stress magnitudes were small. On the other hand, the shear stress distributions were found to be sensitive to the ratio of the flow rates in the feeding arteries as well as to variations in the blood flow rate.
CONCLUSIONS: Measurement of the blood flow rate as well as the distribution of the flow rates in the patient's feeding arteries may be needed for numerical simulations to accurately reproduce the intraaneurysmal hemodynamics in a specific aneurysm in the clinical setting.

Entities:  

Mesh:

Year:  2007        PMID: 17564178     DOI: 10.3171/jns.2007.106.6.1051

Source DB:  PubMed          Journal:  J Neurosurg        ISSN: 0022-3085            Impact factor:   5.115


  27 in total

1.  Patient-specific computational hemodynamics of intracranial aneurysms from 3D rotational angiography and CT angiography: an in vivo reproducibility study.

Authors:  A J Geers; I Larrabide; A G Radaelli; H Bogunovic; M Kim; H A F Gratama van Andel; C B Majoie; E VanBavel; A F Frangi
Journal:  AJNR Am J Neuroradiol       Date:  2010-12-23       Impact factor: 3.825

2.  Generalized versus patient-specific inflow boundary conditions in computational fluid dynamics simulations of cerebral aneurysmal hemodynamics.

Authors:  I G H Jansen; J J Schneiders; W V Potters; P van Ooij; R van den Berg; E van Bavel; H A Marquering; C B L M Majoie
Journal:  AJNR Am J Neuroradiol       Date:  2014-03-20       Impact factor: 3.825

Review 3.  What does computational fluid dynamics tell us about intracranial aneurysms? A meta-analysis and critical review.

Authors:  Khalid M Saqr; Sherif Rashad; Simon Tupin; Kuniyasu Niizuma; Tamer Hassan; Teiji Tominaga; Makoto Ohta
Journal:  J Cereb Blood Flow Metab       Date:  2019-06-18       Impact factor: 6.200

4.  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

5.  Computational fluid dynamics of cerebral aneurysm coiling using high-resolution and high-energy synchrotron X-ray microtomography: comparison with the homogeneous porous medium approach.

Authors:  Michael R Levitt; Michael C Barbour; Sabine Rolland du Roscoat; Christian Geindreau; Venkat K Chivukula; Patrick M McGah; John D Nerva; Ryan P Morton; Louis J Kim; Alberto Aliseda
Journal:  J Neurointerv Surg       Date:  2016-07-12       Impact factor: 5.836

6.  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

7.  A data-driven approach for addressing the lack of flow waveform data in studies of cerebral arterial flow in older adults.

Authors:  Michael J Durka; Isaac H Wong; David F Kallmes; Dario Pasalic; Fernando Mut; Manoj Jagani; Pablo J Blanco; Juan R Cebral; Anne M Robertson
Journal:  Physiol Meas       Date:  2018-02-01       Impact factor: 2.833

8.  Computational Modeling of Venous Sinus Stenosis in Idiopathic Intracranial Hypertension.

Authors:  M R Levitt; P M McGah; K Moon; F C Albuquerque; C G McDougall; M Y S Kalani; L J Kim; A Aliseda
Journal:  AJNR Am J Neuroradiol       Date:  2016-05-19       Impact factor: 3.825

9.  Intracranial blood-flow velocity and pressure measurements using an intra-arterial dual-sensor guidewire.

Authors:  S P Ferns; J J Schneiders; M Siebes; R van den Berg; E T van Bavel; C B Majoie
Journal:  AJNR Am J Neuroradiol       Date:  2009-09-17       Impact factor: 3.825

10.  Mind the gap: impact of computational fluid dynamics solution strategy on prediction of intracranial aneurysm hemodynamics and rupture status indicators.

Authors:  K Valen-Sendstad; D A Steinman
Journal:  AJNR Am J Neuroradiol       Date:  2013-11-14       Impact factor: 3.825

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