Literature DB >> 23746596

Numerical and experimental assessment of turbulent kinetic energy in an aortic coarctation.

Jonas Lantz1, Tino Ebbers, Jan Engvall, Matts Karlsson.   

Abstract

The turbulent blood flow through an aortic coarctation in a 63-year old female patient was studied experimentally using magnetic resonance imaging (MRI), and numerically using computational fluid dynamics (CFD), before and after catheter intervention. Turbulent kinetic energy (TKE) was computed in the numerical model using large eddy simulation and compared with direct in vivo MRI measurements. Despite the two totally different methods to obtain TKE values, both quantitative and qualitative results agreed very well. The results showed that even though both blood flow rate and Reynolds number increased after intervention, total turbulent kinetic energy levels decreased in the coarctation. Therefore, the use of the Reynolds number alone as a measure of turbulence in cardiovascular flows should be used with caution. Furthermore, the change in flow field and kinetic energy were assessed, and it was found that before intervention a jet formed in the throat of the coarctation, which impacted the arterial wall just downstream the constriction. After intervention the jet was significantly weaker and broke up almost immediately, presumably resulting in less stress on the wall. As there was a good agreement between measurements and numerical results (the increase and decrease of integrated TKE matched measurements almost perfectly while peak values differed by approximately 1mJ), the CFD results confirmed the MRI measurements while at the same time providing high-resolution details about the flow. Thus, this preliminary study indicates that MR-based TKE measurements might be useful as a diagnostic tool when evaluating intervention outcome, while the detailed numerical results might be useful for further understanding of the flow for treatment planning.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Computational fluid dynamics; Large eddy simulation; Magnetic resonance imaging; Turbulent flow

Mesh:

Year:  2013        PMID: 23746596     DOI: 10.1016/j.jbiomech.2013.04.028

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  11 in total

1.  Turbulent Intensity of Blood Flow in the Healthy Aorta Increases With Dobutamine Stress and is Related to Cardiac Output.

Authors:  Jonathan Sundin; Mariana Bustamante; Tino Ebbers; Petter Dyverfeldt; Carl-Johan Carlhäll
Journal:  Front Physiol       Date:  2022-05-25       Impact factor: 4.755

2.  Relative pressure estimation from 4D flow MRI using generalized Bernoulli equation in a phantom model of arterial stenosis.

Authors:  Amirkhosro Kazemi; Daniel A Padgett; Sean Callahan; Marcus Stoddard; Amir A Amini
Journal:  MAGMA       Date:  2022-02-17       Impact factor: 2.533

3.  Hemodynamics in a three-dimensional printed aortic model: a comparison of four-dimensional phase-contrast magnetic resonance and image-based computational fluid dynamics.

Authors:  Junghun Kim; Jongmin Lee; Jieun Park; Sinjae Hyun
Journal:  MAGMA       Date:  2022-02-08       Impact factor: 2.533

Review 4.  Right ventricle-pulmonary circulation dysfunction: a review of energy-based approach.

Authors:  Namheon Lee; Michael D Taylor; Rupak K Banerjee
Journal:  Biomed Eng Online       Date:  2015-01-09       Impact factor: 2.819

5.  Assessment of turbulent viscous stress using ICOSA 4D Flow MRI for prediction of hemodynamic blood damage.

Authors:  Hojin Ha; Jonas Lantz; Henrik Haraldsson; Belen Casas; Magnus Ziegler; Matts Karlsson; David Saloner; Petter Dyverfeldt; Tino Ebbers
Journal:  Sci Rep       Date:  2016-12-22       Impact factor: 4.379

6.  Age-Related Vascular Changes Affect Turbulence in Aortic Blood Flow.

Authors:  Hojin Ha; Magnus Ziegler; Martin Welander; Niclas Bjarnegård; Carl-Johan Carlhäll; Marcus Lindenberger; Toste Länne; Tino Ebbers; Petter Dyverfeldt
Journal:  Front Physiol       Date:  2018-01-25       Impact factor: 4.566

Review 7.  Unravelling cardiovascular disease using four dimensional flow cardiovascular magnetic resonance.

Authors:  Vivian P Kamphuis; Jos J M Westenberg; Roel L F van der Palen; Nico A Blom; Albert de Roos; Rob van der Geest; Mohammed S M Elbaz; Arno A W Roest
Journal:  Int J Cardiovasc Imaging       Date:  2016-11-25       Impact factor: 2.357

8.  Estimating the irreversible pressure drop across a stenosis by quantifying turbulence production using 4D Flow MRI.

Authors:  Hojin Ha; Jonas Lantz; Magnus Ziegler; Belen Casas; Matts Karlsson; Petter Dyverfeldt; Tino Ebbers
Journal:  Sci Rep       Date:  2017-04-20       Impact factor: 4.379

9.  Evaluation of Computational Methodologies for Accurate Prediction of Wall Shear Stress and Turbulence Parameters in a Patient-Specific Aorta.

Authors:  Emily Louise Manchester; Selene Pirola; Mohammad Yousuf Salmasi; Declan P O'Regan; Thanos Athanasiou; Xiao Yun Xu
Journal:  Front Bioeng Biotechnol       Date:  2022-03-24

Review 10.  4D flow cardiovascular magnetic resonance consensus statement.

Authors:  Petter Dyverfeldt; Malenka Bissell; Alex J Barker; Ann F Bolger; Carl-Johan Carlhäll; Tino Ebbers; Christopher J Francios; Alex Frydrychowicz; Julia Geiger; Daniel Giese; Michael D Hope; Philip J Kilner; Sebastian Kozerke; Saul Myerson; Stefan Neubauer; Oliver Wieben; Michael Markl
Journal:  J Cardiovasc Magn Reson       Date:  2015-08-10       Impact factor: 5.364

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