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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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