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Velocity Measurement in Carotid Artery: Quantitative Comparison of Time-Resolved 3D Phase-Contrast MRI and Image-based Computational Fluid Dynamics
BACKGROUND: Understanding hemodynamic environment in vessels is important for realizing the mechanisms leading to vascular pathologies. OBJECTIVES: Three-dimensional velocity vector field in carotid bifurcation is visualized using TR 3D phase-contrast magnetic resonance imaging (TR 3D PC MRI) and co...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Kowsar
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4711029/ https://www.ncbi.nlm.nih.gov/pubmed/26793288 http://dx.doi.org/10.5812/iranjradiol.18286 |
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author | Sarrami-Foroushani, Ali Nasr Esfahany, Mohsen Nasiraei Moghaddam, Abbas Saligheh Rad, Hamidreza Firouznia, Kavous Shakiba, Madjid Ghanaati, Hossein Wilkinson, Iain David Frangi, Alejandro Federico |
author_facet | Sarrami-Foroushani, Ali Nasr Esfahany, Mohsen Nasiraei Moghaddam, Abbas Saligheh Rad, Hamidreza Firouznia, Kavous Shakiba, Madjid Ghanaati, Hossein Wilkinson, Iain David Frangi, Alejandro Federico |
author_sort | Sarrami-Foroushani, Ali |
collection | PubMed |
description | BACKGROUND: Understanding hemodynamic environment in vessels is important for realizing the mechanisms leading to vascular pathologies. OBJECTIVES: Three-dimensional velocity vector field in carotid bifurcation is visualized using TR 3D phase-contrast magnetic resonance imaging (TR 3D PC MRI) and computational fluid dynamics (CFD). This study aimed to present a qualitative and quantitative comparison of the velocity vector field obtained by each technique. SUBJECTS AND METHODS: MR imaging was performed on a 30-year old male normal subject. TR 3D PC MRI was performed on a 3 T scanner to measure velocity in carotid bifurcation. 3D anatomical model for CFD was created using images obtained from time-of-flight MR angiography. Velocity vector field in carotid bifurcation was predicted using CFD and PC MRI techniques. A statistical analysis was performed to assess the agreement between the two methods. RESULTS: Although the main flow patterns were the same for the both techniques, CFD showed a greater resolution in mapping the secondary and circulating flows. Overall root mean square (RMS) errors for all the corresponding data points in PC MRI and CFD were 14.27% in peak systole and 12.91% in end diastole relative to maximum velocity measured at each cardiac phase. Bland-Altman plots showed a very good agreement between the two techniques. However, this study was not aimed to validate any of methods, instead, the consistency was assessed to accentuate the similarities and differences between Time-resolved PC MRI and CFD. CONCLUSION: Both techniques provided quantitatively consistent results of in vivo velocity vector fields in right internal carotid artery (RCA). PC MRI represented a good estimation of main flow patterns inside the vasculature, which seems to be acceptable for clinical use. However, limitations of each technique should be considered while interpreting results. |
format | Online Article Text |
id | pubmed-4711029 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Kowsar |
record_format | MEDLINE/PubMed |
spelling | pubmed-47110292016-01-20 Velocity Measurement in Carotid Artery: Quantitative Comparison of Time-Resolved 3D Phase-Contrast MRI and Image-based Computational Fluid Dynamics Sarrami-Foroushani, Ali Nasr Esfahany, Mohsen Nasiraei Moghaddam, Abbas Saligheh Rad, Hamidreza Firouznia, Kavous Shakiba, Madjid Ghanaati, Hossein Wilkinson, Iain David Frangi, Alejandro Federico Iran J Radiol Physics BACKGROUND: Understanding hemodynamic environment in vessels is important for realizing the mechanisms leading to vascular pathologies. OBJECTIVES: Three-dimensional velocity vector field in carotid bifurcation is visualized using TR 3D phase-contrast magnetic resonance imaging (TR 3D PC MRI) and computational fluid dynamics (CFD). This study aimed to present a qualitative and quantitative comparison of the velocity vector field obtained by each technique. SUBJECTS AND METHODS: MR imaging was performed on a 30-year old male normal subject. TR 3D PC MRI was performed on a 3 T scanner to measure velocity in carotid bifurcation. 3D anatomical model for CFD was created using images obtained from time-of-flight MR angiography. Velocity vector field in carotid bifurcation was predicted using CFD and PC MRI techniques. A statistical analysis was performed to assess the agreement between the two methods. RESULTS: Although the main flow patterns were the same for the both techniques, CFD showed a greater resolution in mapping the secondary and circulating flows. Overall root mean square (RMS) errors for all the corresponding data points in PC MRI and CFD were 14.27% in peak systole and 12.91% in end diastole relative to maximum velocity measured at each cardiac phase. Bland-Altman plots showed a very good agreement between the two techniques. However, this study was not aimed to validate any of methods, instead, the consistency was assessed to accentuate the similarities and differences between Time-resolved PC MRI and CFD. CONCLUSION: Both techniques provided quantitatively consistent results of in vivo velocity vector fields in right internal carotid artery (RCA). PC MRI represented a good estimation of main flow patterns inside the vasculature, which seems to be acceptable for clinical use. However, limitations of each technique should be considered while interpreting results. Kowsar 2015-10-17 /pmc/articles/PMC4711029/ /pubmed/26793288 http://dx.doi.org/10.5812/iranjradiol.18286 Text en Copyright © 2015, Tehran University of Medical Sciences and Iranian Society of Radiology. http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/) which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited. |
spellingShingle | Physics Sarrami-Foroushani, Ali Nasr Esfahany, Mohsen Nasiraei Moghaddam, Abbas Saligheh Rad, Hamidreza Firouznia, Kavous Shakiba, Madjid Ghanaati, Hossein Wilkinson, Iain David Frangi, Alejandro Federico Velocity Measurement in Carotid Artery: Quantitative Comparison of Time-Resolved 3D Phase-Contrast MRI and Image-based Computational Fluid Dynamics |
title | Velocity Measurement in Carotid Artery: Quantitative Comparison of Time-Resolved 3D Phase-Contrast MRI and Image-based Computational Fluid Dynamics |
title_full | Velocity Measurement in Carotid Artery: Quantitative Comparison of Time-Resolved 3D Phase-Contrast MRI and Image-based Computational Fluid Dynamics |
title_fullStr | Velocity Measurement in Carotid Artery: Quantitative Comparison of Time-Resolved 3D Phase-Contrast MRI and Image-based Computational Fluid Dynamics |
title_full_unstemmed | Velocity Measurement in Carotid Artery: Quantitative Comparison of Time-Resolved 3D Phase-Contrast MRI and Image-based Computational Fluid Dynamics |
title_short | Velocity Measurement in Carotid Artery: Quantitative Comparison of Time-Resolved 3D Phase-Contrast MRI and Image-based Computational Fluid Dynamics |
title_sort | velocity measurement in carotid artery: quantitative comparison of time-resolved 3d phase-contrast mri and image-based computational fluid dynamics |
topic | Physics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4711029/ https://www.ncbi.nlm.nih.gov/pubmed/26793288 http://dx.doi.org/10.5812/iranjradiol.18286 |
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