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The 3D Spatial Autocorrelation of the Branching Fractal Vasculature

The fractal branching vasculature within soft tissues and the mathematical properties of the branching system influence a wide range of important phenomena from blood velocity to ultrasound backscatter. Among the mathematical descriptors of branching networks, the spatial autocorrelation function pl...

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Detalles Bibliográficos
Autores principales: Parker, Kevin J., Carroll-Nellenback, Jonathan J., Wood, Ronald W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550346/
https://www.ncbi.nlm.nih.gov/pubmed/31179443
http://dx.doi.org/10.3390/acoustics1020020
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author Parker, Kevin J.
Carroll-Nellenback, Jonathan J.
Wood, Ronald W.
author_facet Parker, Kevin J.
Carroll-Nellenback, Jonathan J.
Wood, Ronald W.
author_sort Parker, Kevin J.
collection PubMed
description The fractal branching vasculature within soft tissues and the mathematical properties of the branching system influence a wide range of important phenomena from blood velocity to ultrasound backscatter. Among the mathematical descriptors of branching networks, the spatial autocorrelation function plays an important role in statistical measures of the tissue and of wave propagation through the tissue. However, there are open questions about analytic models of the 3D autocorrelation function for the branching vasculature and few experimental validations for soft vascularized tissue. To address this, high resolution computed tomography scans of a highly vascularized placenta perfused with radiopaque contrast through the umbilical artery were examined. The spatial autocorrelation function was found to be consistent with a power law, which then, in theory, predicts the specific power law behavior of other related functions, including the backscatter of ultrasound.
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spelling pubmed-65503462019-06-05 The 3D Spatial Autocorrelation of the Branching Fractal Vasculature Parker, Kevin J. Carroll-Nellenback, Jonathan J. Wood, Ronald W. Acoustics (Basel) Article The fractal branching vasculature within soft tissues and the mathematical properties of the branching system influence a wide range of important phenomena from blood velocity to ultrasound backscatter. Among the mathematical descriptors of branching networks, the spatial autocorrelation function plays an important role in statistical measures of the tissue and of wave propagation through the tissue. However, there are open questions about analytic models of the 3D autocorrelation function for the branching vasculature and few experimental validations for soft vascularized tissue. To address this, high resolution computed tomography scans of a highly vascularized placenta perfused with radiopaque contrast through the umbilical artery were examined. The spatial autocorrelation function was found to be consistent with a power law, which then, in theory, predicts the specific power law behavior of other related functions, including the backscatter of ultrasound. 2019-04-09 2019-06 /pmc/articles/PMC6550346/ /pubmed/31179443 http://dx.doi.org/10.3390/acoustics1020020 Text en This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Parker, Kevin J.
Carroll-Nellenback, Jonathan J.
Wood, Ronald W.
The 3D Spatial Autocorrelation of the Branching Fractal Vasculature
title The 3D Spatial Autocorrelation of the Branching Fractal Vasculature
title_full The 3D Spatial Autocorrelation of the Branching Fractal Vasculature
title_fullStr The 3D Spatial Autocorrelation of the Branching Fractal Vasculature
title_full_unstemmed The 3D Spatial Autocorrelation of the Branching Fractal Vasculature
title_short The 3D Spatial Autocorrelation of the Branching Fractal Vasculature
title_sort 3d spatial autocorrelation of the branching fractal vasculature
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550346/
https://www.ncbi.nlm.nih.gov/pubmed/31179443
http://dx.doi.org/10.3390/acoustics1020020
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