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    Feasibility of Extracting Velocity Distribution in Choriocapillaris in Human Eyes from ICG Dye Angiograms

    Source: Journal of Biomechanical Engineering:;2006:;volume( 128 ):;issue: 002::page 203
    Author:
    L. Zhu
    ,
    R. W. Flower
    ,
    Y. Zheng
    ,
    C. H. von Kerczek
    ,
    L. D. Topoleski
    DOI: 10.1115/1.2165692
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Indocyanine green (ICG) dye angiography has been used by ophthalmologists for routine examination of the choroidal vasculature in human eyes for more than 20years. In this study, a new approach is developed to extract information from ICG dye angiograms about blood velocity distribution in the choriocapillaris and its feeding blood vessels. ICG dye fluorescence intensity rise and decay curves are constructed for each pixel location in each image of the choriocapillaris in an ICG angiogram. It is shown that at each instant of time the magnitude of the local instantaneous dye velocity in the choriocapillaris is proportional to both the slope of the ICG dye fluorescence intensity curve and the dye concentration. This approach leads to determination of the absolute value of blood velocity in the choriocapillaris, assuming an appropriate scaling, or conversion factor can be determined. It also enables comparison of velocities in different regions of the choriocapillaris, since the conversion factor is independent of the vessel location. The computer algorithm developed in this study can be used in clinical applications for diagnostic purposes and for assessment of the efficacy of laser therapy in human eyes.
    keyword(s): Fluorescence , Algorithms , Blood , Blood vessels , Vessels , Blood flow , Human eye , Computers , Lasers , Biological tissues AND Patient treatment ,
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      Feasibility of Extracting Velocity Distribution in Choriocapillaris in Human Eyes from ICG Dye Angiograms

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    http://yetl.yabesh.ir/yetl1/handle/yetl/133217
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    • Journal of Biomechanical Engineering

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    contributor authorL. Zhu
    contributor authorR. W. Flower
    contributor authorY. Zheng
    contributor authorC. H. von Kerczek
    contributor authorL. D. Topoleski
    date accessioned2017-05-09T00:18:59Z
    date available2017-05-09T00:18:59Z
    date copyrightApril, 2006
    date issued2006
    identifier issn0148-0731
    identifier otherJBENDY-26594#203_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/133217
    description abstractIndocyanine green (ICG) dye angiography has been used by ophthalmologists for routine examination of the choroidal vasculature in human eyes for more than 20years. In this study, a new approach is developed to extract information from ICG dye angiograms about blood velocity distribution in the choriocapillaris and its feeding blood vessels. ICG dye fluorescence intensity rise and decay curves are constructed for each pixel location in each image of the choriocapillaris in an ICG angiogram. It is shown that at each instant of time the magnitude of the local instantaneous dye velocity in the choriocapillaris is proportional to both the slope of the ICG dye fluorescence intensity curve and the dye concentration. This approach leads to determination of the absolute value of blood velocity in the choriocapillaris, assuming an appropriate scaling, or conversion factor can be determined. It also enables comparison of velocities in different regions of the choriocapillaris, since the conversion factor is independent of the vessel location. The computer algorithm developed in this study can be used in clinical applications for diagnostic purposes and for assessment of the efficacy of laser therapy in human eyes.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleFeasibility of Extracting Velocity Distribution in Choriocapillaris in Human Eyes from ICG Dye Angiograms
    typeJournal Paper
    journal volume128
    journal issue2
    journal titleJournal of Biomechanical Engineering
    identifier doi10.1115/1.2165692
    journal fristpage203
    journal lastpage209
    identifier eissn1528-8951
    keywordsFluorescence
    keywordsAlgorithms
    keywordsBlood
    keywordsBlood vessels
    keywordsVessels
    keywordsBlood flow
    keywordsHuman eye
    keywordsComputers
    keywordsLasers
    keywordsBiological tissues AND Patient treatment
    treeJournal of Biomechanical Engineering:;2006:;volume( 128 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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