Literature DB >> 22981220

Physiological simulation of blood flow in the aorta: comparison of hemodynamic indices as predicted by 3-D FSI, 3-D rigid wall and 1-D models.

Philippe Reymond1, Paolo Crosetto, Simone Deparis, Alfio Quarteroni, Nikos Stergiopulos.   

Abstract

Interest in patient-specific blood-flow circulation modeling has increased substantially in recent years. The availability of clinical data for geometric and elastic properties together with efficient numerical methods has now made model rendering feasible. This work uses 3-D fluid-structure interaction (FSI) to provide physiological simulation resulting in modeling with a high level of detail. Comparisons are made between results using FSI and rigid wall models. The relevance of wall compliance in determining parameters of clinical importance, such as wall shear stress, is discussed together with the significance of differences found in the pressure and flow waveforms when using the 1-D model. Patient-specific geometry of the aorta and its branches was based on MRI angiography data. The arterial wall was created with a variable thickness. The boundary conditions for the fluid domain were pressure waveform at the ascending aorta and flow for each outlet. The waveforms were obtained using a 1-D model validated by in vivo measurements performed on the same person. In order to mimic the mechanical effect of surrounding tissues in the simulation, a stress-displacement relation was applied to the arterial wall. The temporal variation and spatial patterns of wall shear stress are presented in the aortic arch and thoracic aorta together with differences using rigid wall and FSI models. A comparison of the 3-D simulations to the 1-D model shows good reproduction of the pressure and flow waveforms.
Copyright © 2012 IPEM. Published by Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22981220     DOI: 10.1016/j.medengphy.2012.08.009

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  20 in total

1.  A class of analytic solutions for verification and convergence analysis of linear and nonlinear fluid-structure interaction algorithms.

Authors:  Andreas Hessenthaler; Maximilian Balmus; Oliver Röhrle; David Nordsletten
Journal:  Comput Methods Appl Mech Eng       Date:  2020-04-15       Impact factor: 6.756

2.  Hemodynamic assessments of the ascending thoracic aortic aneurysm using fluid-structure interaction approach.

Authors:  Han Hung Yeh; Simon W Rabkin; Dana Grecov
Journal:  Med Biol Eng Comput       Date:  2017-08-11       Impact factor: 2.602

3.  Automated generation of 0D and 1D reduced-order models of patient-specific blood flow.

Authors:  Martin R Pfaller; Jonathan Pham; Aekaansh Verma; Luca Pegolotti; Nathan M Wilson; David W Parker; Weiguang Yang; Alison L Marsden
Journal:  Int J Numer Method Biomed Eng       Date:  2022-08-14       Impact factor: 2.648

4.  Multiscale modeling of blood flow to assess neurological complications in patients supported by venoarterial extracorporeal membrane oxygenation.

Authors:  Bradley Feiger; Adebayo Adebiyi; Amanda Randles
Journal:  Comput Biol Med       Date:  2020-12-09       Impact factor: 4.589

5.  Aortic dissection simulation models for clinical support: fluid-structure interaction vs. rigid wall models.

Authors:  Mona Alimohammadi; Joseph M Sherwood; Morad Karimpour; Obiekezie Agu; Stavroula Balabani; Vanessa Díaz-Zuccarini
Journal:  Biomed Eng Online       Date:  2015-04-15       Impact factor: 2.819

6.  Assessment of wall elasticity variations on intraluminal haemodynamics in descending aortic dissections using a lumped-parameter model.

Authors:  Paula A Rudenick; Bart H Bijnens; Patrick Segers; David García-Dorado; Arturo Evangelista
Journal:  PLoS One       Date:  2015-04-16       Impact factor: 3.240

7.  Effects of aortic irregularities on blood flow.

Authors:  Lisa Prahl Wittberg; Stevin van Wyk; Laszlo Fuchs; Ephraim Gutmark; Philippe Backeljauw; Iris Gutmark-Little
Journal:  Biomech Model Mechanobiol       Date:  2015-06-25

Review 8.  Biomechanical factors in the biology of aortic wall and aortic valve diseases.

Authors:  Magnus Bäck; T Christian Gasser; Jean-Baptiste Michel; Giuseppina Caligiuri
Journal:  Cardiovasc Res       Date:  2013-03-03       Impact factor: 10.787

Review 9.  Cardiovascular magnetic resonance phase contrast imaging.

Authors:  Krishna S Nayak; Jon-Fredrik Nielsen; Matt A Bernstein; Michael Markl; Peter D Gatehouse; Rene M Botnar; David Saloner; Christine Lorenz; Han Wen; Bob S Hu; Frederick H Epstein; John N Oshinski; Subha V Raman
Journal:  J Cardiovasc Magn Reson       Date:  2015-08-09       Impact factor: 5.364

10.  Development of a Patient-Specific Multi-Scale Model to Understand Atherosclerosis and Calcification Locations: Comparison with In vivo Data in an Aortic Dissection.

Authors:  Mona Alimohammadi; Cesar Pichardo-Almarza; Obiekezie Agu; Vanessa Díaz-Zuccarini
Journal:  Front Physiol       Date:  2016-06-21       Impact factor: 4.566

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