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    Dynamic Contrast-Enhanced MRI and Fractal Characteristics of Percolation Clusters in Two-Dimensional Tumor Blood Perfusion

    Source: Journal of Biomechanical Engineering:;1999:;volume( 121 ):;issue: 005::page 480
    Author:
    O. I. Craciunescu
    ,
    S. T. Clegg
    ,
    S. K. Das
    DOI: 10.1115/1.2835076
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Dynamic contrast-enhanced magnetic resonance imaging (DE-MRI) of the tumor blood pool is used to study tumor tissue perfusion. The results are then analyzed using percolation models. Percolation cluster geometry is depicted using the wash-in component of MRI contrast signal intensity. Fractal characteristics are determined for each two-dimensional cluster. The invasion percolation model is used to describe the evolution of the tumor perfusion front. Although tumor perfusion can be depicted rigorously only in three dimensions, two-dimensional cases are used to validate the methodology. It is concluded that the blood perfusion in a two-dimensional tumor vessel network has a fractal structure and that the evolution of the perfusion front can be characterized using invasion percolation. For all the cases studied, the front starts to grow from the periphery of the tumor (where the feeding vessel was assumed to lie) and continues to grow toward the center of the tumor, accounting for the well-documented perfused periphery and necrotic core of the tumor tissue.
    keyword(s): Percolation theory , Blood , Magnetic resonance imaging , Fractals , Tumors , Vessels , Biological tissues , Dimensions , Foundry coatings , Geometry , Networks AND Signals ,
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      Dynamic Contrast-Enhanced MRI and Fractal Characteristics of Percolation Clusters in Two-Dimensional Tumor Blood Perfusion

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/121772
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    • Journal of Biomechanical Engineering

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    contributor authorO. I. Craciunescu
    contributor authorS. T. Clegg
    contributor authorS. K. Das
    date accessioned2017-05-08T23:58:58Z
    date available2017-05-08T23:58:58Z
    date copyrightOctober, 1999
    date issued1999
    identifier issn0148-0731
    identifier otherJBENDY-26026#480_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/121772
    description abstractDynamic contrast-enhanced magnetic resonance imaging (DE-MRI) of the tumor blood pool is used to study tumor tissue perfusion. The results are then analyzed using percolation models. Percolation cluster geometry is depicted using the wash-in component of MRI contrast signal intensity. Fractal characteristics are determined for each two-dimensional cluster. The invasion percolation model is used to describe the evolution of the tumor perfusion front. Although tumor perfusion can be depicted rigorously only in three dimensions, two-dimensional cases are used to validate the methodology. It is concluded that the blood perfusion in a two-dimensional tumor vessel network has a fractal structure and that the evolution of the perfusion front can be characterized using invasion percolation. For all the cases studied, the front starts to grow from the periphery of the tumor (where the feeding vessel was assumed to lie) and continues to grow toward the center of the tumor, accounting for the well-documented perfused periphery and necrotic core of the tumor tissue.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleDynamic Contrast-Enhanced MRI and Fractal Characteristics of Percolation Clusters in Two-Dimensional Tumor Blood Perfusion
    typeJournal Paper
    journal volume121
    journal issue5
    journal titleJournal of Biomechanical Engineering
    identifier doi10.1115/1.2835076
    journal fristpage480
    journal lastpage486
    identifier eissn1528-8951
    keywordsPercolation theory
    keywordsBlood
    keywordsMagnetic resonance imaging
    keywordsFractals
    keywordsTumors
    keywordsVessels
    keywordsBiological tissues
    keywordsDimensions
    keywordsFoundry coatings
    keywordsGeometry
    keywordsNetworks AND Signals
    treeJournal of Biomechanical Engineering:;1999:;volume( 121 ):;issue: 005
    contenttypeFulltext
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