title: Automatic Vessel Shade-Robust Segmentation of Retinal Layers in OCT Images.
abstract: Optical Coherence Tomography (OCT) is a promising imaging technique used by ophthalmologists to diagnose diseases. Since retinal morphology can be identified on these images, several image processing-based methods are emerging with the purpose of extracting their information. The first step to tackle any automatic method to extract pathological features from these images is delimiting retinal layers automatically. This is the aim of this paper, which presents an active contour-based method to segment layer boundaries in the retina. Results obtained by this method present high accuracy and robustness, even when some of these layers are low defined or vessel shades are present.
authors.affiliation: VARPA Group, Departmento de Computación, Universidade da Coruña, Spain.
authors.forename: Ana
authors.initials: A
authors.lastname: González-López
authors.affiliation: VARPA Group, Departmento de Computación, Universidade da Coruña, Spain.
authors.forename: Marcos
authors.initials: M
authors.lastname: Ortega
authors.affiliation: VARPA Group, Departmento de Computación, Universidade da Coruña, Spain.
authors.forename: Manuel G
authors.initials: MG
authors.lastname: Penedo
authors.affiliation: Sociedad Gallega de Optometría Clínica, Spain.
authors.forename: Pablo
authors.initials: P
authors.lastname: Charlón
mesh_terms: D000465:Algorithms; D059925:Anatomic Landmarks / Q000033:anatomy & histology / Q000000981:diagnostic imaging; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012160:Retina / Q000033:anatomy & histology* / Q000000981:diagnostic imaging*; D012680:Sensitivity and Specificity; D041623:Tomography, Optical Coherence / Q000379:methods*