Retinal layers can be identified by ophthalmologists using OCT images, which is useful for the diagnosis of different diseases. Recent EDI-OCT technique allows to explore the choroid layer, whose segmen- tation has become one of the hottest topics in the field of retinal imag- ing. In this sense, and taking into account that the choroid layer has different visual properties than the other retinal layers, a methodology based on textural information is presented in this paper to segment the choroid. From a retinal EDI-OCT image, a region of interest is detected and its low-level features are extracted, generating a feature vector that describes it, to finally segment the choroid. This paper includes sev- eral texture analysis methods to calculate the feature vectors. Results provided by the proposed methodology showed that the approach is ade- quate for the problem at hand, since it allows to segment the choroid layer with promising results.
['Ana González-López', 'Beatriz Remeseiro', 'Marcos Ortega', 'Manuel G. Penedo', 'Pablo Charlón']
A Texture-Based Method for Choroid Segmentation in Retinal EDI-OCT Images