The Open UniversitySkip to content
 

Simulated annealing approach to vascular structure with application to the coronary arteries

Keelan, Jonathan; Chung, Emma M. L. and Hague, James P. (2016). Simulated annealing approach to vascular structure with application to the coronary arteries. Royal Society Open Science, 3(2) pp. 150431–150445.

Full text available as:
[img]
Preview
PDF (Version of Record) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (1MB) | Preview
URL: http://dx.doi.org/10.1098/rsos.150431
DOI (Digital Object Identifier) Link: https://doi.org/10.1098/rsos.150431
Google Scholar: Look up in Google Scholar

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.

Item Type: Journal Item
Copyright Holders: 2016 The Authors
ISSN: 2054-5703
Project Funding Details:
Funded Project NameProject IDFunding Body
Doctoral training accountEP/P505046/1EPSRC
Intermediate basic science research fellowshipFS/10/46/28350BHF
Keywords: vascular modelling; optimization; cardiovascular systems; simulated annealing
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Physical Sciences
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Interdisciplinary Research Centre: Centre for Earth, Planetary, Space and Astronomical Research (CEPSAR)
Biomedical Research Network (BRN)
Item ID: 45544
Depositing User: James Hague
Date Deposited: 07 Mar 2016 14:21
Last Modified: 17 May 2017 05:48
URI: http://oro.open.ac.uk/id/eprint/45544
Share this page:

Altmetrics

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU