Literature DB >> 11488543

Fractal branching pattern in the pial vasculature in the cat.

P Hermán1, L Kocsis, A Eke.   

Abstract

Arborization pattern was studied in pial vascular networks by treating them as fractals. Rather than applying elaborate taxonomy assembled from measures from individual vessel segments and bifurcations arranged in their branching order, the authors' approach captured the structural details at once in high-resolution digital images processed for the skeleton of the networks. The pial networks appear random and at the same time having structural elements similar to each other when viewed at different scales--a property known as self-similarity revealed by the geometry of fractals. Fractal (capacity) dimension, Dcap, was calculated to evaluate the network's spatial complexity by the box counting method (BCM) and its variant, the extended counting method (XCM). Box counting method and XCM were subject to numerical testing on ideal fractals of known D. The authors found that precision of these fractal methods depends on the fractal character (branching, nonbranching) of the structure they evaluate. Dcaps (group mean +/- SD) for the arterial and venous pial networks in the cat (n = 6) are 1.37 +/- 0.04, 1.37 +/- 0.02 by XCM, and 1.30 +/- 0.04, 1.31 +/- 0.03 by BCM, respectively. The arterial and venous systems thus appear to be developed according to the same fractal generation rule in the cat.

Entities:  

Mesh:

Year:  2001        PMID: 11488543     DOI: 10.1097/00004647-200106000-00012

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


  8 in total

1.  Muscle fractal vascular branching pattern and microvascular perfusion heterogeneity in endurance-trained and untrained men.

Authors:  Kari K Kalliokoski; Tom A Kuusela; Marko S Laaksonen; Juhani Knuuti; Pirjo Nuutila
Journal:  J Physiol       Date:  2003-01-15       Impact factor: 5.182

2.  Topological basis for the robust distribution of blood to rodent neocortex.

Authors:  Pablo Blinder; Andy Y Shih; Christopher Rafie; David Kleinfeld
Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-28       Impact factor: 11.205

3.  Dynamics of pulsatile flow in fractal models of vascular branching networks.

Authors:  Anh Bui; Ilija D Sutalo; Richard Manasseh; Kurt Liffman
Journal:  Med Biol Eng Comput       Date:  2009-05-26       Impact factor: 2.602

4.  Tracking cerebral blood flow in BOLD fMRI using recursively generated regressors.

Authors:  Yunjie Tong; Blaise deB Frederick
Journal:  Hum Brain Mapp       Date:  2014-06-23       Impact factor: 5.038

5.  The fractal spatial distribution of pancreatic islets in three dimensions: a self-avoiding growth model.

Authors:  Junghyo Jo; Andreas Hörnblad; German Kilimnik; Manami Hara; Ulf Ahlgren; Vipul Periwal
Journal:  Phys Biol       Date:  2013-04-29       Impact factor: 2.583

6.  Directed migration of neural stem cells to sites of CNS injury by the stromal cell-derived factor 1alpha/CXC chemokine receptor 4 pathway.

Authors:  Jaime Imitola; Khadir Raddassi; Kook In Park; Franz-Josef Mueller; Marta Nieto; Yang D Teng; Dan Frenkel; Jianxue Li; Richard L Sidman; Christopher A Walsh; Evan Y Snyder; Samia J Khoury
Journal:  Proc Natl Acad Sci U S A       Date:  2004-12-17       Impact factor: 11.205

Review 7.  A healthy dose of chaos: Using fractal frameworks for engineering higher-fidelity biomedical systems.

Authors:  Anastasia Korolj; Hau-Tieng Wu; Milica Radisic
Journal:  Biomaterials       Date:  2019-07-15       Impact factor: 12.479

8.  Fractal dimension and vessel complexity in patients with cerebral arteriovenous malformations.

Authors:  Gernot Reishofer; Karl Koschutnig; Christian Enzinger; Franz Ebner; Helmut Ahammer
Journal:  PLoS One       Date:  2012-07-18       Impact factor: 3.240

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.