scholarly journals Determination of plasma ion velocity distribution via charge-exchange recombination spectroscopy

1983 ◽  
Author(s):  
R.J. Fonck ◽  
D.S. Darrow ◽  
K.P. Jaehnig
Keyword(s):  
Velocity Distribution ◽  
Charge Exchange ◽  
Ion Velocity

scholarly journals Determination of plasma-ion velocity distribution via charge-exchange recombination spectroscopy

1984 ◽  
Vol 29 (6) ◽  
pp. 3288-3309 ◽  
Author(s):  
R. J. Fonck ◽  
D. S. Darrow ◽  
K. P. Jaehnig
Keyword(s):  
Velocity Distribution ◽  
Charge Exchange ◽  
Ion Velocity

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

2005 ◽  
Vol 128 (2) ◽  
pp. 203-209 ◽  
Author(s):  
L. Zhu ◽  
Y. Zheng ◽  
C. H. von Kerczek ◽  
L. D. T. Topoleski ◽  
R. W. Flower
Keyword(s):  
Velocity Distribution ◽  
Fluorescence Intensity ◽  
Conversion Factor ◽  
Blood Velocity ◽  
New Approach ◽  
Pixel Location ◽  
Choroidal Vasculature ◽  
Dye Fluorescence ◽  
Human Eyes

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.

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