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A novel MRI-based data fusion methodology for efficient, personalised, compliant simulations of aortic haemodynamics
We present a novel, cost-efficient methodology to simulate aortic haemodynamics in a patient-specific, compliant aorta using an MRI data fusion process. Based on a previously-developed Moving Boundary Method, this technique circumvents the high computational cost and numerous structural modelling as...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8907869/ https://www.ncbi.nlm.nih.gov/pubmed/34715606 http://dx.doi.org/10.1016/j.jbiomech.2021.110793 |
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author | Stokes, Catriona Bonfanti, Mirko Li, Zeyan Xiong, Jiang Chen, Duanduan Balabani, Stavroula Díaz-Zuccarini, Vanessa |
author_facet | Stokes, Catriona Bonfanti, Mirko Li, Zeyan Xiong, Jiang Chen, Duanduan Balabani, Stavroula Díaz-Zuccarini, Vanessa |
author_sort | Stokes, Catriona |
collection | PubMed |
description | We present a novel, cost-efficient methodology to simulate aortic haemodynamics in a patient-specific, compliant aorta using an MRI data fusion process. Based on a previously-developed Moving Boundary Method, this technique circumvents the high computational cost and numerous structural modelling assumptions required by traditional Fluid-Structure Interaction techniques. Without the need for Computed Tomography (CT) data, the MRI images required to construct the simulation can be obtained during a single imaging session. Black Blood MR Angiography and 2D Cine-MRI data were used to reconstruct the luminal geometry and calibrate wall movement specifically to each region of the aorta. 4D-Flow MRI and non-invasive pressure measurements informed patient-specific inlet and outlet boundary conditions. Luminal area closely matched 2D Cine-MRI measurements with a mean error of less than 4.6% across the cardiac cycle, while physiological pressure and flow distributions were simulated to within 3.3% of patient-specific targets. Moderate agreement with 4D-Flow MRI velocity data was observed. Despite lower peak velocity, an equivalent rigid-wall simulation predicted a mean Time-Averaged Wall Shear Stress (TAWSS) 13% higher than the compliant simulation. The agreement observed between compliant simulation results and MRI data is testament to the accuracy and efficiency of this MRI-based simulation technique. |
format | Online Article Text |
id | pubmed-8907869 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-89078692022-03-15 A novel MRI-based data fusion methodology for efficient, personalised, compliant simulations of aortic haemodynamics Stokes, Catriona Bonfanti, Mirko Li, Zeyan Xiong, Jiang Chen, Duanduan Balabani, Stavroula Díaz-Zuccarini, Vanessa J Biomech Article We present a novel, cost-efficient methodology to simulate aortic haemodynamics in a patient-specific, compliant aorta using an MRI data fusion process. Based on a previously-developed Moving Boundary Method, this technique circumvents the high computational cost and numerous structural modelling assumptions required by traditional Fluid-Structure Interaction techniques. Without the need for Computed Tomography (CT) data, the MRI images required to construct the simulation can be obtained during a single imaging session. Black Blood MR Angiography and 2D Cine-MRI data were used to reconstruct the luminal geometry and calibrate wall movement specifically to each region of the aorta. 4D-Flow MRI and non-invasive pressure measurements informed patient-specific inlet and outlet boundary conditions. Luminal area closely matched 2D Cine-MRI measurements with a mean error of less than 4.6% across the cardiac cycle, while physiological pressure and flow distributions were simulated to within 3.3% of patient-specific targets. Moderate agreement with 4D-Flow MRI velocity data was observed. Despite lower peak velocity, an equivalent rigid-wall simulation predicted a mean Time-Averaged Wall Shear Stress (TAWSS) 13% higher than the compliant simulation. The agreement observed between compliant simulation results and MRI data is testament to the accuracy and efficiency of this MRI-based simulation technique. Elsevier Science 2021-12-02 /pmc/articles/PMC8907869/ /pubmed/34715606 http://dx.doi.org/10.1016/j.jbiomech.2021.110793 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Stokes, Catriona Bonfanti, Mirko Li, Zeyan Xiong, Jiang Chen, Duanduan Balabani, Stavroula Díaz-Zuccarini, Vanessa A novel MRI-based data fusion methodology for efficient, personalised, compliant simulations of aortic haemodynamics |
title | A novel MRI-based data fusion methodology for efficient, personalised, compliant simulations of aortic haemodynamics |
title_full | A novel MRI-based data fusion methodology for efficient, personalised, compliant simulations of aortic haemodynamics |
title_fullStr | A novel MRI-based data fusion methodology for efficient, personalised, compliant simulations of aortic haemodynamics |
title_full_unstemmed | A novel MRI-based data fusion methodology for efficient, personalised, compliant simulations of aortic haemodynamics |
title_short | A novel MRI-based data fusion methodology for efficient, personalised, compliant simulations of aortic haemodynamics |
title_sort | novel mri-based data fusion methodology for efficient, personalised, compliant simulations of aortic haemodynamics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8907869/ https://www.ncbi.nlm.nih.gov/pubmed/34715606 http://dx.doi.org/10.1016/j.jbiomech.2021.110793 |
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