الفهرس 
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Abstract
Diabetic Macular Edema is characterized according to Early Treatment Diabetic Retinopathy studies by thickening of macula.The search included two mains. Firstly, a study included comparing the retinal thickness measurements using two scanning Optical Coherence Tomography (OCT) mechanisms (Radial scan – Three dimension (3D-scan) of patient with Diabetic macular edema (DME)and normal subjects, correlates between retinal thickness measurements with 3D and radial in different types of DME .Finally, an algorithm has been proposed for the detection of DME from OCT image in order to be early diagnosed and have proper treatment. Fourteen healthy individual with 27 eyes and 23 patients with
46 eyes .All subjects were examined using two scanning methods of Spectral domain OCT. The retinal thickness (RT) from two scans was measured, recorded and compared for every level of maculopathy. The mean and standard deviation (SD) were evaluated using statistical package for social science (SPSS.16).The correlation between two scans are calculated using Pearson’s correlation coefficient. The result of these study showed that DME can be detected using OCT.RT thickness of DME is different from those of normal eyes. The comparison between radial and 3D-OCT scan reported that there was no-significant difference between the mean retinal thicknesses of the two scans through the nine macular region (p >0.5).The quality image showed a significant difference between two scans (p = 0.024, p = 0.040) in case of cystoid and mixed edema respectively. Significant correlation was found through the nine macular region between two scans in case of cystoid, mixed, diffuse edema and normal subjects. Artificial Neural Network classification of DME yielded highest accuracy 96.43%, sensitivity 100% and specificity 92.86%. Thus, ophthalmologists can use this algorithm by in early detection of macular edema.