AUTOMATIC DETECTION OF FEATURES IN ULTRASOUND IMAGES OF THE EYE R.Youmaran,
نویسندگان
چکیده
In closed angled Glaucoma, fluid pressure in the eye increases because of inadequate fluid flow between the iris and the cornea. One important technique to assess patients at risk of glaucoma is to analyze ultrasound images of the eye to detect the structural changes. We propose an algorithm to automatically identify important features in the ultrasound images. Tests were performed by comparison of results with eighty images of glaucoma patients against the landmarks identified by a technologist. A success rate of 97% was achieved. This work will help improving the efficiency of clinical interpretation of ultrasound images of the eye.
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