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Morphometric Reconstruction of Coronary Vasculature Incorporating Uniformity of Flow Dispersion
Experimental limitations in measurements of coronary flow in the beating heart have led to the development of in silico models of reconstructed coronary trees. Previous coronary reconstructions relied primarily on anatomical data, including statistical morphometry (e.g., diameters, length, connectiv...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6123366/ https://www.ncbi.nlm.nih.gov/pubmed/30210353 http://dx.doi.org/10.3389/fphys.2018.01069 |
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author | Namani, Ravi Kassab, Ghassan S. Lanir, Yoram |
author_facet | Namani, Ravi Kassab, Ghassan S. Lanir, Yoram |
author_sort | Namani, Ravi |
collection | PubMed |
description | Experimental limitations in measurements of coronary flow in the beating heart have led to the development of in silico models of reconstructed coronary trees. Previous coronary reconstructions relied primarily on anatomical data, including statistical morphometry (e.g., diameters, length, connectivity, longitudinal position). Such reconstructions are non-unique, however, often leading to unrealistic predicted flow features. Thus, it is necessary to impose physiological flow constraints to ensure realistic tree reconstruction. Since a vessel flow depends on its diameter to fourth power, diameters are the logical candidates to guide vascular reconstructions to achieve realistic flows. Here, a diameter assignment method was developed where each vessel diameter was determined depending on its downstream tree size, aimed to reduce flow dispersion to within measured range. Since the coronary micro-vessels are responsible for a major portion of the flow resistance, the auto regulated coronary flow was analyzed in a morphometry-based reconstructed 400 vessel arterial microvascular sub-tree spanning vessel orders 1–6. Diameters in this subtree were re-assigned based on the flow criteria. The results revealed that diameter re-assignment, while adhering to measured morphometry, significantly reduced the flow dispersion to realistic levels while adhering to measured morphometry. The resulting network flow has longitudinal pressure distribution, flow fractal nature, and near-neighboring flow autocorrelation, which agree with measured coronary flow characteristics. Collectively, these results suggest that a realistic coronary tree reconstruction should impose not only morphometric data but also flow considerations. The work is of broad significance in providing a novel computational framework in the field of coronary microcirculation. It is essential for the study of coronary circulation by model simulation, based on a realistic network structure. |
format | Online Article Text |
id | pubmed-6123366 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-61233662018-09-12 Morphometric Reconstruction of Coronary Vasculature Incorporating Uniformity of Flow Dispersion Namani, Ravi Kassab, Ghassan S. Lanir, Yoram Front Physiol Physiology Experimental limitations in measurements of coronary flow in the beating heart have led to the development of in silico models of reconstructed coronary trees. Previous coronary reconstructions relied primarily on anatomical data, including statistical morphometry (e.g., diameters, length, connectivity, longitudinal position). Such reconstructions are non-unique, however, often leading to unrealistic predicted flow features. Thus, it is necessary to impose physiological flow constraints to ensure realistic tree reconstruction. Since a vessel flow depends on its diameter to fourth power, diameters are the logical candidates to guide vascular reconstructions to achieve realistic flows. Here, a diameter assignment method was developed where each vessel diameter was determined depending on its downstream tree size, aimed to reduce flow dispersion to within measured range. Since the coronary micro-vessels are responsible for a major portion of the flow resistance, the auto regulated coronary flow was analyzed in a morphometry-based reconstructed 400 vessel arterial microvascular sub-tree spanning vessel orders 1–6. Diameters in this subtree were re-assigned based on the flow criteria. The results revealed that diameter re-assignment, while adhering to measured morphometry, significantly reduced the flow dispersion to realistic levels while adhering to measured morphometry. The resulting network flow has longitudinal pressure distribution, flow fractal nature, and near-neighboring flow autocorrelation, which agree with measured coronary flow characteristics. Collectively, these results suggest that a realistic coronary tree reconstruction should impose not only morphometric data but also flow considerations. The work is of broad significance in providing a novel computational framework in the field of coronary microcirculation. It is essential for the study of coronary circulation by model simulation, based on a realistic network structure. Frontiers Media S.A. 2018-08-29 /pmc/articles/PMC6123366/ /pubmed/30210353 http://dx.doi.org/10.3389/fphys.2018.01069 Text en Copyright © 2018 Namani, Kassab and Lanir. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Physiology Namani, Ravi Kassab, Ghassan S. Lanir, Yoram Morphometric Reconstruction of Coronary Vasculature Incorporating Uniformity of Flow Dispersion |
title | Morphometric Reconstruction of Coronary Vasculature Incorporating Uniformity of Flow Dispersion |
title_full | Morphometric Reconstruction of Coronary Vasculature Incorporating Uniformity of Flow Dispersion |
title_fullStr | Morphometric Reconstruction of Coronary Vasculature Incorporating Uniformity of Flow Dispersion |
title_full_unstemmed | Morphometric Reconstruction of Coronary Vasculature Incorporating Uniformity of Flow Dispersion |
title_short | Morphometric Reconstruction of Coronary Vasculature Incorporating Uniformity of Flow Dispersion |
title_sort | morphometric reconstruction of coronary vasculature incorporating uniformity of flow dispersion |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6123366/ https://www.ncbi.nlm.nih.gov/pubmed/30210353 http://dx.doi.org/10.3389/fphys.2018.01069 |
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