Retinal Oximetry Based on Nonsimultaneous Image Acquisition Using a Conventional Fundus Camera

To measure the retinal arteriole and venule oxygen saturation (SO2) using a conventional fundus camera, retinal oximetry based on nonsimultaneous image acquisition was developed and evaluated. Two retinal images were sequentially acquired using a conventional fundus camera with two bandpass filters (568 nm: isobestic, 600 nm: nonisobestic wavelength), one after another, instead of a built-in green filter. The images were registered to compensate for the differences caused by eye movements during the image acquisition. Retinal SO2 was measured using two wavelength oximetry. To evaluate sensitivity of the proposed method, SO2 in the arterioles and venules before and after inhalation of 100% O2 were compared, respectively, in 11 healthy subjects. After inhalation of 100% O2, SO2 increased from 96.0 ± 6.0% to 98.8% ± 7.1% in the arterioles (p = 0.002) and from 54.0 ± 8.0% to 66.7% ± 7.2% in the venules (p = 0.005) (paired t-test, n = 11). Reproducibility of the method was 2.6% and 5.2% in the arterioles and venules, respectively (average standard deviation of five measurements, n = 11).

[1]  J. C. Ross,et al.  A Study of Retinal Venous Blood Oxygen Saturation in Human Subjects by Photographic Means , 1963, Circulation.

[2]  D. Schweitzer,et al.  In vivo measurement of the oxygen saturation of retinal vessels in healthy volunteers , 1999, IEEE Transactions on Biomedical Engineering.

[3]  L. Kagemann,et al.  A comparative study of the effects of brinzolamide and dorzolamide on retinal oxygen saturation and ocular microcirculation in patients with primary open-angle glaucoma , 2008, British Journal of Ophthalmology.

[4]  Andrew Zisserman,et al.  Multiple View Geometry in Computer Vision (2nd ed) , 2003 .

[5]  D. Schweitzer,et al.  Retinal venous oxygen saturation increases by flicker light stimulation. , 2011, Investigative ophthalmology & visual science.

[6]  J. Beach,et al.  Oximetry of retinal vessels by dual-wavelength imaging: calibration and influence of pigmentation. , 1999, Journal of applied physiology.

[7]  Robert C. Bolles,et al.  Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.

[8]  Matthijs C. Dorst Distinctive Image Features from Scale-Invariant Keypoints , 2011 .

[9]  Jon Atli Benediktsson,et al.  Automatic retinal oximetry. , 2006 .

[10]  David G. Lowe,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.

[11]  J. Hickam,et al.  Studies of retinal circulation and A-V oxygen difference in man. , 1959, Transactions of the American Clinical and Climatological Association.

[12]  Jon Atli Benediktsson,et al.  Glaucoma filtration surgery and retinal oxygen saturation. , 2009, Investigative ophthalmology & visual science.

[13]  Jon Atli Benediktsson,et al.  Oxygen saturation in human retinal vessels is higher in dark than in light. , 2009, Investigative ophthalmology & visual science.

[14]  Dietrich Schweitzer,et al.  Diabetic patients with retinopathy show increased retinal venous oxygen saturation , 2009, Graefe's Archive for Clinical and Experimental Ophthalmology.

[15]  Dietrich Schweitzer,et al.  Retinal vessel oximetry-calibration, compensation for vessel diameter and fundus pigmentation, and reproducibility. , 2008, Journal of biomedical optics.

[16]  Larry Kagemann,et al.  A review of methods for human retinal oximetry. , 2003, Ophthalmic surgery, lasers & imaging : the official journal of the International Society for Imaging in the Eye.

[17]  F. Delori Noninvasive technique for oximetry of blood in retinal vessels. , 1988, Applied optics.