Simulated annealing approach to vascular structure with application to the coronary arteries
Do the complex processes of angiogenesis during organism development ultimately lead to a near optimal coronary vasculature in the organs of adult mammals? We examine this hypothesis using a powerful and universal method, built on physical and physiological principles, for the determination of globa...
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Online Access: | https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.150431 |
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doaj-d284275f7ab44cb3ad2dd58ec72968e72020-11-25T04:00:36ZengThe Royal SocietyRoyal Society Open Science2054-57032016-01-013210.1098/rsos.150431150431Simulated annealing approach to vascular structure with application to the coronary arteriesJonathan KeelanEmma M. L. ChungJames P. HagueDo the complex processes of angiogenesis during organism development ultimately lead to a near optimal coronary vasculature in the organs of adult mammals? We examine this hypothesis using a powerful and universal method, built on physical and physiological principles, for the determination of globally energetically optimal arterial trees. The method is based on simulated annealing, and can be used to examine arteries in hollow organs with arbitrary tissue geometries. We demonstrate that the approach can generate in silico vasculatures which closely match porcine anatomical data for the coronary arteries on all length scales, and that the optimized arterial trees improve systematically as computational time increases. The method presented here is general, and could in principle be used to examine the arteries of other organs. Potential applications include improvement of medical imaging analysis and the design of vascular trees for artificial organs.https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.150431vascular modellingoptimizationcardiovascular systemssimulated annealing |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jonathan Keelan Emma M. L. Chung James P. Hague |
spellingShingle |
Jonathan Keelan Emma M. L. Chung James P. Hague Simulated annealing approach to vascular structure with application to the coronary arteries Royal Society Open Science vascular modelling optimization cardiovascular systems simulated annealing |
author_facet |
Jonathan Keelan Emma M. L. Chung James P. Hague |
author_sort |
Jonathan Keelan |
title |
Simulated annealing approach to vascular structure with application to the coronary arteries |
title_short |
Simulated annealing approach to vascular structure with application to the coronary arteries |
title_full |
Simulated annealing approach to vascular structure with application to the coronary arteries |
title_fullStr |
Simulated annealing approach to vascular structure with application to the coronary arteries |
title_full_unstemmed |
Simulated annealing approach to vascular structure with application to the coronary arteries |
title_sort |
simulated annealing approach to vascular structure with application to the coronary arteries |
publisher |
The Royal Society |
series |
Royal Society Open Science |
issn |
2054-5703 |
publishDate |
2016-01-01 |
description |
Do the complex processes of angiogenesis during organism development ultimately lead to a near optimal coronary vasculature in the organs of adult mammals? We examine this hypothesis using a powerful and universal method, built on physical and physiological principles, for the determination of globally energetically optimal arterial trees. The method is based on simulated annealing, and can be used to examine arteries in hollow organs with arbitrary tissue geometries. We demonstrate that the approach can generate in silico vasculatures which closely match porcine anatomical data for the coronary arteries on all length scales, and that the optimized arterial trees improve systematically as computational time increases. The method presented here is general, and could in principle be used to examine the arteries of other organs. Potential applications include improvement of medical imaging analysis and the design of vascular trees for artificial organs. |
topic |
vascular modelling optimization cardiovascular systems simulated annealing |
url |
https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.150431 |
work_keys_str_mv |
AT jonathankeelan simulatedannealingapproachtovascularstructurewithapplicationtothecoronaryarteries AT emmamlchung simulatedannealingapproachtovascularstructurewithapplicationtothecoronaryarteries AT jamesphague simulatedannealingapproachtovascularstructurewithapplicationtothecoronaryarteries |
_version_ |
1724449541720113152 |