A New Approach to Detect Macular Hole from Optical Coherence Tomography Images Anand M.1,*, Jayakumari C.2 1Research Scholar, Bharathiar University, Coimbatore 2Associate Professor, Middle East College, Oman *Corresponding Author: M. Anand, Research Scholar, Bharathiar University, Coimbatore Email: manandinbox@gmail.com
Online published on 19 August, 2019. Abstract Introduction Macular hole is a tear or break in the macula, located in the center of the retina. A macular hole affects central vision of human; the vision will be wavy, blurry and distorted. Macular hole commonly affects aged women. Aim Optical Coherence Tomography (OCT) enables accurate diagnosis of macular hole. Existing algorithms available related to finding layers and cyst detection, but identifying macular hole in an accurate manner is still a missing entity. Hence we propose a fully automated system for the accurate macular hole identification. Method Ee propose a fully automated system for the accurate macular hole identification. The proposed methodology has six stages in process. The first stage starts with preprocessing the OCT image, then by Nerve Fiber Layer (NFL) detection. The detected NFL layer is then processed using our proposed method. Result & Conclusion It helps to identify the macular hole from the OCT images. The proposed methodology is evaluated with the health macula and macular hole OCT images. By experimentation results, the proposed algorithm provides 87% accuracy in finding macular hole. Top Keywords Biomedical Imaging, Macular Hole, Optical Coherence Tomography (OCT). Top |