May 2006
Volume 47, Issue 13
Free
ARVO Annual Meeting Abstract  |   May 2006
A Software Interface for the Evaluation of Oxygen Saturation in Retinal Vessels
Author Affiliations & Notes
  • R.A. Karlsson
    University of Iceland, Reykjavik, Iceland
    Electrical and Computer Engineering,
  • J.A. Benediktsson
    University of Iceland, Reykjavik, Iceland
    Electrical and Computer Engineering,
  • S.H. Hardarson
    University of Iceland, Reykjavik, Iceland
    Ophthalmology,
  • G.H. Halldorsson
    University of Iceland, Reykjavik, Iceland
    Electrical and Computer Engineering,
  • T. Eysteinsson
    University of Iceland, Reykjavik, Iceland
    Ophthalmology,
  • A. Harris
    Department of Ophthalmology, Indiana University School of Medicine, Indianapolis, IN
  • E. Stefansson
    University of Iceland, Reykjavik, Iceland
    Ophthalmology,
  • Footnotes
    Commercial Relationships  R.A. Karlsson, Oxymap ehf., E; Oxymap ehf., P; J.A. Benediktsson, Oxymap ehf., I; Oxymap ehf., E; Oxymap ehf., P; S.H. Hardarson, Oxymap ehf., E; Oxymap ehf., P; G.H. Halldorsson, Oxymap ehf., E; Oxymap ehf., P; T. Eysteinsson, Oxymap ehf., I; Oxymap ehf., P; Oxymap ehf., E; A. Harris, None; E. Stefansson, Oxymap ehf., E; Oxymap ehf., P; Oxymap ehf., I.
  • Footnotes
    Support  Icelandic Research Council
Investigative Ophthalmology & Visual Science May 2006, Vol.47, 5686. doi:
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      R.A. Karlsson, J.A. Benediktsson, S.H. Hardarson, G.H. Halldorsson, T. Eysteinsson, A. Harris, E. Stefansson; A Software Interface for the Evaluation of Oxygen Saturation in Retinal Vessels . Invest. Ophthalmol. Vis. Sci. 2006;47(13):5686.

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Abstract
 
Purpose:
 

To develop a flexible software application capable of calculating oxygen saturation in retinal vessels and displaying it as a pseudocolor map drawn on top of an image of the fundus.

 
Methods:
 

The software automatically chooses measurement points on retinal arterioles and venules as well as reference points on the adjacent fundus and averages points along vessels to arrive at the retinal vessel oxygen saturation (S02). The S02 values are shown on a fundus image using a pseudocolor map where different colors signify different levels of S02. The user is able to select individual vessels or vessel branches and see their S02 value. Finally, the interface displays the average S02 of the arterioles and venules in the retina and the average arteriovenous S02 difference. In addition to displaying the S02 values graphically the data can be displayed in tabular form and exported for processing in other applications.

 
Results:
 

The software interface has been successfully used to display oxygen saturation on a color coded map of both healthy (see figure) and diseased fundi. When testing the reproducibility of the method in 9 healthy eyes the coefficient of variation for the automatic method was considerably lower, 10% (3–18%) and 7.2% (2–11%) than for manual measurements 48% (15–139%) and 13% (7–23%) for venules and arterioles respectively.

 
Conclusions:
 

Displaying the oxygen saturation of the retinal vessels as an overlaid color map on a retinal image, considerably simplifies and improves the interpretation of the oxygen saturation data and is useful both in a clinical and research setting. The analysis interface offers a quick and reproducible method of determining the oxygen saturation of blood in the retinal vessels.  

 
Keywords: imaging/image analysis: clinical • retina • clinical (human) or epidemiologic studies: systems/equipment/techniques 
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