Abstract：
PURPOSE:To evaluate the performance of an automated retinal image quality assessment system for use in automated diabetic retinopathy grading. METHODS:Algorithmic methods have been developed for assessing the quality of 45 degrees single field retinal images for use in diabetic retinopathy screening. For this purpose, image quality was defined by two aspects: image clarity and field definition. An image with adequate clarity was defined as one that shows sufficient detail for automated retinopathy grading. The visibility of the macular vessels was used as an indicator of image clarity, since these vessels are known to be narrow and become less visible with any image degradation. An image with adequate field definition was defined as one that shows the desired field of view for retinopathy grading, including the full 45 degrees field of view, the optic disc, and at least two optic disc diameters of visible retina around the fovea. From 489 patients attending a diabetic retinopathy screening program, 1039 retinal images were obtained. The images were graded by a clinician for image clarity and field definition, with a comprehensive image-quality grading scheme. RESULTS:The sensitivity and specificity were, respectively, 100% and 90.9% for inadequate clarity detection, 95.3% and 96.4% for inadequate field definition detection, and 99.1% and 89.4% for inadequate overall quality detection. CONCLUSIONS:The automated system performs with sufficient accuracy to form part of an automated diabetic retinopathy grading system.
journal_name
Invest Ophthalmol Vis Scijournal_title
Investigative ophthalmology & visual scienceauthors
Fleming AD,Philip S,Goatman KA,Olson JA,Sharp PFdoi
10.1167/iovs.05-1155keywords:
subject
Has Abstractpub_date
2006-03-01 00:00:00pages
1120-5issue
3eissn
0146-0404issn
1552-5783pii
47/3/1120journal_volume
47pub_type
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