capillary mimicking a vessel. The quantitative calculations from the healthy subject, as well as the qualitative oxygen saturation maps, show oxygen saturation levels consistent with those in the literature. CONCLUSION: This system is clinically valuable for diagnosing and monitoring diseases affecting ocular oxygen saturation, such as glaucoma, diabetic retinopathy, age-related macular degeneration, and others. Our reliable method is capable of documenting tissue oxygenation throughout disease progression. © 2015 ACT. All rights reserved.
INTRODUCTIONPathologic conditions in the retina and optic nerve head (ONH) can cause vision loss and blindness. Both structures have a high demand for oxygen, and loss of the normal oxygen supply through vascular insufficiency is believed to play an important role in diseases affecting the retina and ONH. Hypoxia of the retina and ONH is believed to be a factor in the development of ocular vascular disorders, such as diabetic retinopathy (DR), arteriovenous occlusion, and glaucoma. The ability to obtain relative measurements of oxygen saturation in the human ocular fundus could aid in the diagnosis and monitoring of these and other disorders. For example, measurement of changes in retinal and ONH oxygen saturation under controlled conditions could establish relationships among oxygen consumption, ABSTRACT AIM: To design and implement a snapshot imaging system capable of mapping oxygen saturation of retinal vessels and tissue clinically for the first time. MATERIALS AND METHODS: Our image-splitting design is attached to the imaging portions of a fundus camera. A relay subsystem and reimaging system convert reflected white light from the eye into seven monochromatic images simultaneously. Our algorithm uses intensity information at each of these discrete wavelengths to approximate the area between the oxy-and deoxyhemoglobin spectral curves, which has been shown to be proportional to oxygen saturation. We used MATLAB to convert this information into colorcoded oxygen saturation maps of the optic nerve head. We validated our system by using it on a model eye with a capillary of known blood oxygen saturation, then used it In vivo to obtain quantitative values of human oxygen saturation for veins and tissue. RESULTS: By collecting seven images simultaneously with one snapshot, our system is the first to document and reproducibly map oxygen saturation of the retinal vessels and tissue. Oxygen saturation values are color-coded, with oxygen-rich arteries in red, oxygen-poor veins in blue, and intermediate tissue yellow-green. Our system's calculations agree with co-oximeter readings of blood in a model eye