A Retinal Layer Structure Analysis to Measure the Size of Disease Using Layer Boundaries Detection for Optical Coherence Tomography Images

In the field of ophthalmology, optical coherence tomography (OCT) is rapidly becoming popular in clinical applications to diagnose retinal disease. In this paper, we proposed a new profile analysis to evaluate the size of the retinal disease using the number of layer boundaries. The number is established by a new analysis method of a gray level profile scanned in longitudinal direction for an OCT image. We employed the proposed method for 50 OCT images of normal retina and 50 OCT images of abnormal retina. The experiment result showed that a significant difference was obtained in the significance level at 1%, when we employed Mann-Whitney U method on the standard deviation of the number of layer boundaries for normal and abnormal retinal images group. Therefore, we confirmed that the proposed method becomes one of the indexes to evaluate the size of the retinal disease. In addition, we confirmed that our system can measure the size of abnormal part in horizontal direction using the number of layer boundaries.