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Method to Quantify Blurriness of Ocular Fundus Images

技术优势

Algorithm produces grading correlating that of a clinician'sMethod can be implemented during patient examinationsQuick results

技术应用

optical engineering, biomedical optics, clinical ophthalmology

详细技术说明

USF inventors have designed and implemented a computer algorithm to produce a rapid and unbiased measure of fundus clarity that strongly correlates with clinical grading. The algorithm could be used on at clinical reading center or as a stand alone device during patient examination. The invention executes a series of imageprocessing steps using predefined parameters to compute a blur grade and quantify the clarity of ocular fundus images. It allows a more accurate, quick, and reliable grade of vitreous haze in an unbiased manner compared to the currently used standardized grading, which also requires a high level of training. This improved method will enhance the diagnosis of the ocular diseases so that adequate treatment can be provided. Algorithm produces gradingcorrelating that of a clinician’s Method can be implemented duringpatient examinations Quick results

*Abstract

At the University of South Florida we have developed a method that permits the automated grading of the severity of vitritis by applying a computer algorithm to clinical fundus images.

国家/地区

美国