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Assessment of turbulent viscous stress using ICOSA 4D Flow MRI for prediction of hemodynamic blood damage
Flow-induced blood damage plays an important role in determining the hemodynamic impact of abnormal blood flow, but quantifying of these effects, which are dominated by shear stresses in highly fluctuating turbulent flow, has not been feasible. This study evaluated the novel application of turbulenc...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5177919/ https://www.ncbi.nlm.nih.gov/pubmed/28004789 http://dx.doi.org/10.1038/srep39773 |
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author | Ha, Hojin Lantz, Jonas Haraldsson, Henrik Casas, Belen Ziegler, Magnus Karlsson, Matts Saloner, David Dyverfeldt, Petter Ebbers, Tino |
author_facet | Ha, Hojin Lantz, Jonas Haraldsson, Henrik Casas, Belen Ziegler, Magnus Karlsson, Matts Saloner, David Dyverfeldt, Petter Ebbers, Tino |
author_sort | Ha, Hojin |
collection | PubMed |
description | Flow-induced blood damage plays an important role in determining the hemodynamic impact of abnormal blood flow, but quantifying of these effects, which are dominated by shear stresses in highly fluctuating turbulent flow, has not been feasible. This study evaluated the novel application of turbulence tensor measurements using simulated 4D Flow MRI data with six-directional velocity encoding for assessing hemodynamic stresses and corresponding blood damage index (BDI) in stenotic turbulent blood flow. The results showed that 4D Flow MRI underestimates the maximum principal shear stress of laminar viscous stress (PLVS), and overestimates the maximum principal shear stress of Reynolds stress (PRSS) with increasing voxel size. PLVS and PRSS were also overestimated by about 1.2 and 4.6 times at medium signal to noise ratio (SNR) = 20. In contrast, the square sum of the turbulent viscous shear stress (TVSS), which is used for blood damage index (BDI) estimation, was not severely affected by SNR and voxel size. The square sum of TVSS and the BDI at SNR >20 were underestimated by less than 1% and 10%, respectively. In conclusion, this study demonstrated the feasibility of 4D Flow MRI based quantification of TVSS and BDI which are closely linked to blood damage. |
format | Online Article Text |
id | pubmed-5177919 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-51779192016-12-29 Assessment of turbulent viscous stress using ICOSA 4D Flow MRI for prediction of hemodynamic blood damage Ha, Hojin Lantz, Jonas Haraldsson, Henrik Casas, Belen Ziegler, Magnus Karlsson, Matts Saloner, David Dyverfeldt, Petter Ebbers, Tino Sci Rep Article Flow-induced blood damage plays an important role in determining the hemodynamic impact of abnormal blood flow, but quantifying of these effects, which are dominated by shear stresses in highly fluctuating turbulent flow, has not been feasible. This study evaluated the novel application of turbulence tensor measurements using simulated 4D Flow MRI data with six-directional velocity encoding for assessing hemodynamic stresses and corresponding blood damage index (BDI) in stenotic turbulent blood flow. The results showed that 4D Flow MRI underestimates the maximum principal shear stress of laminar viscous stress (PLVS), and overestimates the maximum principal shear stress of Reynolds stress (PRSS) with increasing voxel size. PLVS and PRSS were also overestimated by about 1.2 and 4.6 times at medium signal to noise ratio (SNR) = 20. In contrast, the square sum of the turbulent viscous shear stress (TVSS), which is used for blood damage index (BDI) estimation, was not severely affected by SNR and voxel size. The square sum of TVSS and the BDI at SNR >20 were underestimated by less than 1% and 10%, respectively. In conclusion, this study demonstrated the feasibility of 4D Flow MRI based quantification of TVSS and BDI which are closely linked to blood damage. Nature Publishing Group 2016-12-22 /pmc/articles/PMC5177919/ /pubmed/28004789 http://dx.doi.org/10.1038/srep39773 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Ha, Hojin Lantz, Jonas Haraldsson, Henrik Casas, Belen Ziegler, Magnus Karlsson, Matts Saloner, David Dyverfeldt, Petter Ebbers, Tino Assessment of turbulent viscous stress using ICOSA 4D Flow MRI for prediction of hemodynamic blood damage |
title | Assessment of turbulent viscous stress using ICOSA 4D Flow MRI for prediction of hemodynamic blood damage |
title_full | Assessment of turbulent viscous stress using ICOSA 4D Flow MRI for prediction of hemodynamic blood damage |
title_fullStr | Assessment of turbulent viscous stress using ICOSA 4D Flow MRI for prediction of hemodynamic blood damage |
title_full_unstemmed | Assessment of turbulent viscous stress using ICOSA 4D Flow MRI for prediction of hemodynamic blood damage |
title_short | Assessment of turbulent viscous stress using ICOSA 4D Flow MRI for prediction of hemodynamic blood damage |
title_sort | assessment of turbulent viscous stress using icosa 4d flow mri for prediction of hemodynamic blood damage |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5177919/ https://www.ncbi.nlm.nih.gov/pubmed/28004789 http://dx.doi.org/10.1038/srep39773 |
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