Image processing algorithms of the retinal thickness analyzer

Gidon Goren

doi:10.1117/12.387523

7 June 2000 Image processing algorithms of the retinal thickness analyzer

Gidon Goren

Proceedings Volume 3908, Ophthalmic Technologies X; (2000) https://doi.org/10.1117/12.387523
Event: BiOS 2000 The International Symposium on Biomedical Optics, 2000, San Jose, CA, United States

Abstract

The retinal thickness analyzer (RTA) is an ophthalmic imaging instrument for the measurement and mapping of the thickness of the retina. The RTA is based on the principle of optical triangulation. A laser beam, which is offset from the optical axis of the eye, is projected onto the retina so that it hits the retina at an angle relative to the optical axis. The light reflected back from this beam at the retina is imaged onto a CCD camera through an off-axis aperture opposite the offset of the incident beam. This cause the light reflected from different layers of the retina to be offset in the image. The size of the offset of light from a retina layer is a measure of the depth of the layer in the retina. Image processing algorithms, which is used to analyze the image for determination of the retinal thickness and structure. A curve fitting procedure based on a physical model of retinal light scattering is used. Thickness determination repeatability is 13 microns (1 sigma). For the registration of thickness measurements, conventional images of the retina are acquired in coincidence with the thickness measurements. Feature extraction algorithms are used to register these images relative to each other and to locate the thickness data on the retina.

Citation Download Citation

Gidon Goren "Image processing algorithms of the retinal thickness analyzer", Proc. SPIE 3908, Ophthalmic Technologies X, (7 June 2000); https://doi.org/10.1117/12.387523

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