ArticleScientific reports2021
The role of vascular complexity on optimal junction exponents.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Computational design of artificial supply networks for engineered human tissue.Scientific reports · 2026Article
- Multiscale modeling of blood circulation with cerebral autoregulation and network pathway analysis for hemodynamic redistribution in the vascular network with anatomical variations and stenosis conditions.PLoS computational biology · 2026Article
- Bayesian parameter inference and uncertainty quantification for a computational pulmonary hemodynamics model using Gaussian processes.Computers in biology and medicine · 2025Article
- Strategies for the vascular patterning of engineered tissues for organ repair.Nature biomedical engineering · 2025Review
- In Vitro Model of Vascular Remodeling Under Microfluidic Perfusion.Micromachines · 2024Article
- Three-dimensional simulations of embolic stroke and an equation for sizing emboli from imaging.Scientific reports · 2023Article
- Experimental study of the effects of nitroglycerin, botulinum toxin A, and clopidogrel on bipedicled superficial inferior epigastric artery flap survival.Scientific reports · 2022Article
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2 authors.
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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.
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