Estimating the Fractal Dimensions of Vascular Networks and Other Branching Structures: Some Words of Caution
Open Access
- 7 March 2022
- journal article
- research article
- Published by MDPI AG in Mathematics
- Vol. 10 (5) , 839
Abstract
Branching patterns are ubiquitous in nature; consequently, over the years many researchers have tried to characterize the complexity of their structures. Due to their hierarchical nature and resemblance to fractal trees, they are often thought to have fractal properties; however, their non-homogeneity (i.e., lack of strict self-similarity) is often ignored. In this paper we review and examine the use of the box-counting and sandbox methods to estimate the fractal dimensions of branching structures. We highlight the fact that these methods rely on an assumption of self-similarity that is not present in branching structures due to their non-homogeneous nature. Looking at the local slopes of the log–log plots used by these methods reveals the problems caused by the non-homogeneity. Finally, we examine the role of the canopies (endpoints or limit points) of branching structures in the estimation of their fractal dimensions.Keywords
All Related Versions
Funding Information
- Natural Sciences and Engineering Research Council of Canada (RGPIN-2017-03793)
This publication has 27 references indexed in Scilit:
- Multifractal and Lacunarity Analysis of Microvascular Morphology and RemodelingMicrocirculation, 2010
- Fractal analysis of vascular networks: Insights from morphogenesisJournal of Theoretical Biology, 2010
- Fractal parameters and vascular networks: facts & artifactsTheoretical Biology and Medical Modelling, 2008
- Sprout Branching of Tumour Capillary Network Growth: Fractal Dimension and Multifractal StructureChinese Physics Letters, 2008
- From Homogeneous to Fractal Normal and Tumorous Microvascular Networks in the BrainJournal of Cerebral Blood Flow & Metabolism, 2007
- Uses and abuses of fractal methodology in ecologyEcology Letters, 2004
- Apparent fractality emerging from models of random distributionsPhysical Review E, 1996
- Retinal neurons and vessels are not fractal but space‐fillingJournal of Comparative Neurology, 1995
- Use and abuse of fractal theory in neuroscienceJournal of Comparative Neurology, 1995
- Scale-Invariant Behavior and Vascular Network Formation in Normal and Tumor TissuePhysical Review Letters, 1995