Digital Image Processing In The Diagnosis Of Glaucoma And Ocular Disease

John Kern; Bernard Schwartz

doi:10.1117/12.955723

8 December 1977 Digital Image Processing In The Diagnosis Of Glaucoma And Ocular Disease

John Kern, Bernard Schwartz

Proceedings Volume 0119, Applications of Digital Image Processing; (1977) https://doi.org/10.1117/12.955723
Event: 21st Annual Technical Symposium, 1977, San Diego, United States

Abstract

Photography of the retina has long been accepted by ophthalmologists as a method of recording and detecting tissue change for early diagnosis of ocular disease. Although much can be learned by photographs, information in image form can and is lost by an observer. By digitizing the image, using a microdensitometer and minicomputer, photographs can be converted to data which can be machine handled for small changes that the observer can not detect in photographic image form. An advantage of digital analysis of data over direct observational methods is that a great many more patients can be measured, for screening purposes, in much less time and without the costly services of an ophthalmologist. This paper presents a technique which develops the above approach in application to early diagnosis of glaucoma. It makes use of magnified photographic images of the optic nerve head and transforms these images into distributions of density. Measured shifts in the peaks of these distributions become sensitive measures of changing tissue structure in the optic nerve itself and consequently in the early diagnosis of glaucoma.

Citation Download Citation

John Kern and Bernard Schwartz "Digital Image Processing In The Diagnosis Of Glaucoma And Ocular Disease", Proc. SPIE 0119, Applications of Digital Image Processing, (8 December 1977); https://doi.org/10.1117/12.955723

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