The role of vascular complexity on optimal junction exponents
Abstract We examine the role of complexity on arterial tree structures, determining globally optimal vessel arrangements using the Simulated AnneaLing Vascular Optimization algorithm, a computational method which we have previously used to reproduce features of cardiac and cerebral vasculatures. In...
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Nature Portfolio
2021
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oai:doaj.org-article:46aeea74f1734443b1684a62ad7a928e2021-12-02T13:34:46ZThe role of vascular complexity on optimal junction exponents10.1038/s41598-021-84432-12045-2322https://doaj.org/article/46aeea74f1734443b1684a62ad7a928e2021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-84432-1https://doaj.org/toc/2045-2322Abstract We examine the role of complexity on arterial tree structures, determining globally optimal vessel arrangements using the Simulated AnneaLing Vascular Optimization algorithm, a computational method which we have previously used to reproduce features of cardiac and cerebral vasculatures. In order to progress computational methods for growing arterial networks, deeper understanding of the stability of computational arterial growth algorithms to complexity, variations in physiological parameters (such as metabolic costs for maintaining and pumping blood), and underlying assumptions regarding the value of junction exponents is needed. We determine the globally optimal structure of two-dimensional arterial trees; analysing how physiological parameters affect tree morphology and optimal bifurcation exponent. We find that considering the full complexity of arterial trees is essential for determining the fundamental properties of vasculatures. We conclude that optimisation-based arterial growth algorithms are stable against uncertainties in physiological parameters, while optimal bifurcation exponents (a key parameter for many arterial growth algorithms) are affected by the complexity of vascular networks and the boundary conditions dictated by organs.Jonathan KeelanJames P. HagueNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021) |
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Medicine R Science Q Jonathan Keelan James P. Hague The role of vascular complexity on optimal junction exponents |
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Abstract We examine the role of complexity on arterial tree structures, determining globally optimal vessel arrangements using the Simulated AnneaLing Vascular Optimization algorithm, a computational method which we have previously used to reproduce features of cardiac and cerebral vasculatures. In order to progress computational methods for growing arterial networks, deeper understanding of the stability of computational arterial growth algorithms to complexity, variations in physiological parameters (such as metabolic costs for maintaining and pumping blood), and underlying assumptions regarding the value of junction exponents is needed. We determine the globally optimal structure of two-dimensional arterial trees; analysing how physiological parameters affect tree morphology and optimal bifurcation exponent. We find that considering the full complexity of arterial trees is essential for determining the fundamental properties of vasculatures. We conclude that optimisation-based arterial growth algorithms are stable against uncertainties in physiological parameters, while optimal bifurcation exponents (a key parameter for many arterial growth algorithms) are affected by the complexity of vascular networks and the boundary conditions dictated by organs. |
format |
article |
author |
Jonathan Keelan James P. Hague |
author_facet |
Jonathan Keelan James P. Hague |
author_sort |
Jonathan Keelan |
title |
The role of vascular complexity on optimal junction exponents |
title_short |
The role of vascular complexity on optimal junction exponents |
title_full |
The role of vascular complexity on optimal junction exponents |
title_fullStr |
The role of vascular complexity on optimal junction exponents |
title_full_unstemmed |
The role of vascular complexity on optimal junction exponents |
title_sort |
role of vascular complexity on optimal junction exponents |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/46aeea74f1734443b1684a62ad7a928e |
work_keys_str_mv |
AT jonathankeelan theroleofvascularcomplexityonoptimaljunctionexponents AT jamesphague theroleofvascularcomplexityonoptimaljunctionexponents AT jonathankeelan roleofvascularcomplexityonoptimaljunctionexponents AT jamesphague roleofvascularcomplexityonoptimaljunctionexponents |
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