Comput Methods Programs Biomed - Accurate detection of blood vessels improves the detection of exudates in color fundus images.

Tópicos

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Resumo

Exudates are one of the earliest and most prevalent symptoms of diseases leading to blindness such as diabetic retinopathy and macular degeneration. Certain areas of the retina with such conditions are to be photocoagulated by laser to stop the disease progress and prevent blindness. Outlining these areas is dependent on outlining the lesions and the anatomic structures of the retina. In this paper, we provide a new method for the detection of blood vessels that improves the detection of exudates in fundus photographs. The method starts with an edge detection algorithm which results in a over segmented image. Then the new feature-based algorithm can be used to accurately detect the blood vessels. This algorithm considers the characteristics of a retinal blood vessel such as its width range, intensities and orientations for the purpose of selective segmentation. Because of its bulb shape and its color similarity with exudates, the optic disc can be detected using the common Hough transform technique. The extracted blood vessel tree and optic disc could be subtracted from the over segmented image to get an initial estimate of exudates. The final estimation of exudates can then be obtained by morphological reconstruction based on the appearance of exudates. This method is shown to be promising since it increases the sensitivity and specificity of exudates detection to 80% and 100% respectively.

Resumo Limpo

exud one earliest preval symptom diseas lead blind diabet retinopathi macular degener certain area retina condit photocoagul laser stop diseas progress prevent blind outlin area depend outlin lesion anatom structur retina paper provid new method detect blood vessel improv detect exud fundus photograph method start edg detect algorithm result segment imag new featurebas algorithm can use accur detect blood vessel algorithm consid characterist retin blood vessel width rang intens orient purpos select segment bulb shape color similar exud optic disc can detect use common hough transform techniqu extract blood vessel tree optic disc subtract segment imag get initi estim exud final estim exud can obtain morpholog reconstruct base appear exud method shown promis sinc increas sensit specif exud detect respect

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