Literature DB >> 20661645

Modeling blood flow circulation in intracranial arterial networks: a comparative 3D/1D simulation study.

L Grinberg1, E Cheever, T Anor, J R Madsen, G E Karniadakis.   

Abstract

We compare results from numerical simulations of pulsatile blood flow in two patient-specific intracranial arterial networks using one-dimensional (1D) and three-dimensional (3D) models. Specifically, we focus on the pressure and flowrate distribution at different segments of the network computed by the two models. Results obtained with 1D and 3D models with rigid walls show good agreement in massflow distribution at tens of arterial junctions and also in pressure drop along the arteries. The 3D simulations with the rigid walls predict higher amplitude of the flowrate and pressure temporal oscillations than the 1D simulations with compliant walls at various segments even for small time-variations in the arterial cross-sectional areas. Sensitivity of the flow and pressure with respect to variation in the elasticity parameters is investigated with the 1D model.

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Year:  2010        PMID: 20661645     DOI: 10.1007/s10439-010-0132-1

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  21 in total

Review 1.  Multiscale imaging and computational modeling of blood flow in the tumor vasculature.

Authors:  Eugene Kim; Spyros Stamatelos; Jana Cebulla; Zaver M Bhujwalla; Aleksander S Popel; Arvind P Pathak
Journal:  Ann Biomed Eng       Date:  2012-05-08       Impact factor: 3.934

2.  A Distributed Lumped Parameter Model of Blood Flow.

Authors:  Mehran Mirramezani; Shawn C Shadden
Journal:  Ann Biomed Eng       Date:  2020-07-01       Impact factor: 3.934

3.  A systematic comparison between 1-D and 3-D hemodynamics in compliant arterial models.

Authors:  Nan Xiao; Jordi Alastruey; C Alberto Figueroa
Journal:  Int J Numer Method Biomed Eng       Date:  2013-09-24       Impact factor: 2.747

4.  Model inversion via multi-fidelity Bayesian optimization: a new paradigm for parameter estimation in haemodynamics, and beyond.

Authors:  Paris Perdikaris; George Em Karniadakis
Journal:  J R Soc Interface       Date:  2016-05       Impact factor: 4.118

5.  Multiscale modeling and simulation of brain blood flow.

Authors:  Paris Perdikaris; Leopold Grinberg; George Em Karniadakis
Journal:  Phys Fluids (1994)       Date:  2016-02-08       Impact factor: 3.521

6.  Reproduction of consistent pulse-waveform changes using a computational model of the cerebral circulatory system.

Authors:  Mark Connolly; Xing He; Nestor Gonzalez; Paul Vespa; Joe DiStefano; Xiao Hu
Journal:  Med Eng Phys       Date:  2014-01-03       Impact factor: 2.242

7.  An effective fractal-tree closure model for simulating blood flow in large arterial networks.

Authors:  Paris Perdikaris; Leopold Grinberg; George Em Karniadakis
Journal:  Ann Biomed Eng       Date:  2014-12-16       Impact factor: 3.934

8.  Experimental study of hemodynamics in the Circle of Willis.

Authors:  Guangyu Zhu; Qi Yuan; Jian Yang; Joon Yeo
Journal:  Biomed Eng Online       Date:  2015-01-09       Impact factor: 2.819

9.  Heterogeneous mechanics of the mouse pulmonary arterial network.

Authors:  Pilhwa Lee; Brian E Carlson; Naomi Chesler; Mette S Olufsen; M Umar Qureshi; Nicolas P Smith; Taha Sochi; Daniel A Beard
Journal:  Biomech Model Mechanobiol       Date:  2016-01-20

10.  Quantification of near-wall hemodynamic risk factors in large-scale cerebral arterial trees.

Authors:  Mahsa Ghaffari; Ali Alaraj; Xinjian Du; Xiaohong Joe Zhou; Fady T Charbel; Andreas A Linninger
Journal:  Int J Numer Method Biomed Eng       Date:  2018-05-23       Impact factor: 2.747

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