Detection of New Vessels on the Optic Disc Using Retinal Photographs

Proliferative diabetic retinopathyis a rare condition likely to lead to severe visual impairment. It is characterized by the development of abnormal new retinal vessels. We describe a method for automatically detecting new vessels on the optic disc using retinal photography. Vessel-like candidate se...

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Bibliographic Details
Published in:IEEE transactions on medical imaging 2011-04, Vol.30 (4), p.972-979
Main Authors: Goatman, K A, Fleming, A D, Philip, S, Williams, G J, Olson, J A, Sharp, P F
Format: Article
Language:English
Subjects:
Diabetes
Diabetic Retinopathy - pathology
Diagnostic Techniques, Ophthalmological
Humans
Image Processing, Computer-Assisted - methods
Image segmentation
Neovascularization, Pathologic - pathology
Optic Disk - anatomy & histology
Optic Disk - blood supply
Optical imaging
Photography - methods
Pixel
Retina
Retinal Vessels - anatomy & histology
Retinal Vessels - pathology
Retinopathy
ROC Curve
Support vector machines
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Summary:Proliferative diabetic retinopathyis a rare condition likely to lead to severe visual impairment. It is characterized by the development of abnormal new retinal vessels. We describe a method for automatically detecting new vessels on the optic disc using retinal photography. Vessel-like candidate segments are first detected using a method based on watershed lines and ridge strength measurement. Fifteen feature parameters, associated with shape, position, orientation, brightness, contrast and line density are calculated for each candidate segment. Based on these features, each segment is categorized as normal or abnormal using a support vector machine (SVM) classifier. The system was trained and tested by cross-validation using 38 images with new vessels and 71 normal images from two diabetic retinal screening centers and one hospital eye clinic. The discrimination performance of the fifteen features was tested against a clinical reference standard. Fourteen features were found to be effective and used in the final test. The area under the receiver operator characteristic curve was 0.911 for detecting images with new vessels on the disc. This accuracy may be sufficient for it to play a useful clinical role in an automated retinopathy analysis system.
ISSN:0278-0062
1558-254X
DOI:10.1109/TMI.2010.2099236