Identification of Branch Retinal Artery Occlusion

Branch retinal artery occlusion (BRAO) is retinal vascular disorder in which one of the branches of the central retinal artery is obstructed which could lead to blindness. The analysis of BRAO region in the retina is necessary for assessment of the severity of retinal ischemia and anoxia. In this paper, a fully automatic framework was proposed to segment BRAO regions based on 3D spectral-domain optical coherence tomography (SD-OCT) images. To the best of our knowledge, this is the first automatic 3D BRAO segmentation framework which provide an important contribution to retina clinic. First, the input 3D image is automatically classified into BRAO of acute phase, BRAO of chronic phase or normal retina using AdaBoost classifier based on combining local structural, intensity, textural features with our new feature distribution analyzing strategy. The new feature distribution analysis can be applied in identifying another retinal diseases. The proposed method was tested on SD-OCT images of 36 patients (12 BRAO acute phase, 11 BRAO chronic phase and 13 normal eyes) using leave-one-out strategy. Citation: Celin Nesh R, Scad college of engineering and technology; Asirvatham M ,Scad college of engineering and technology. "Identification of Branch Retinal Artery Occlusion." Global Research and Development Journal For Engineering 36 2018: 93 - 98.