Abstract:
Macular edema is the blurring or loss of central vision which is caused as a result of Diabetic Retinopathy. According to WHO statement, there are 12.9 million people suffering from Diabetes in Pakistan which is almost 10% proportion of the whole population. The OCT imaging is a new technology which gives detailed view of retinal layers. Analysis of OCT images helps in identification of multiple diseases. Fovea is the central part of retina which is responsible for central vision. The aim of this research is the successful localization of fovea which can be further used for the detection of multiple diseases. First the extraction of ILM layer has been done by using Active Contour based Segmentation and Curve Fitting Techniques. A new technique is proposed in this research for the successful localization of fovea in retinal ILM layer by using distance based method. The detection of Macular edema has been done on the basis of analysis of fovea region. The system is evaluated using a local dataset of OCT images which is gathered with the help of Armed Forces institute of Ophthalmology. The dataset consists of 550 images and the developed system gives an accuracy of 92% for Fovea Localization and 84% for Edema detection.
