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Keelan, Jonathan; Chung, Emma M. L. and Hague, James P.
(2016).
DOI: https://doi.org/10.1098/rsos.150431
URL: http://dx.doi.org/10.1098/rsos.150431
Abstract
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.
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About
- Item ORO ID
- 45544
- Item Type
- Journal Item
- ISSN
- 2054-5703
- Project Funding Details
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Funded Project Name Project ID Funding Body Doctoral training account EP/P505046/1 EPSRC Intermediate basic science research fellowship FS/10/46/28350 BHF - Keywords
- vascular modelling; optimization; cardiovascular systems; simulated annealing
- Academic Unit or School
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Faculty of Science, Technology, Engineering and Mathematics (STEM) > Physical Sciences
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Research Group
-
Centre for Electronic Imaging (CEI)
Physics
Mathematical Biology - Copyright Holders
- © 2016 The Authors
- Depositing User
- James Hague