Extraction Method of Abnormal Parts in Retinal Layers from Optical Coherence Tomography Image

Optical Coherence Tomography (OCT) image is very useful to the diagnosis and the follow up evaluation of the response to treatment using either medication or surgery， and it is an emerging medical imaging technology for performing high resolution cross-sectional images. In ophthalmology, this technology can provide 3D images of retinal architecture, and it is useful for identifying, monitoring, quantitatively assessing of retinal disease. Evaluations of quantitative information on retinal architecture especially on the abnormal parts are importance to diagnosis the degree of abnormal and to consider a treatment approach. This research proposes a new extraction method for the abnormal regions of retina from 3D OCT images using the combination of digital image processing methods. Our research objectives are extracting the border line of abnormal parts of 3D OCT retinal images. This research uses 128 2D OCT images about one retina of a patient, which is specified the part of macular by an ophthalmologist. We can extract some border lines of abnormal parts in OCT retinal images by using image processing techniques