title: User-guided segmentation for volumetric retinal optical coherence tomography images.
abstract: Despite the existence of automatic segmentation techniques, trained graders still rely on manual segmentation to provide retinal layers and features from clinical optical coherence tomography (OCT) images for accurate measurements. To bridge the gap between this time-consuming need of manual segmentation and currently available automatic segmentation techniques, this paper proposes a user-guided segmentation method to perform the segmentation of retinal layers and features in OCT images. With this method, by interactively navigating three-dimensional (3-D) OCT images, the user first manually defines user-defined (or sketched) lines at regions where the retinal layers appear very irregular for which the automatic segmentation method often fails to provide satisfactory results. The algorithm is then guided by these sketched lines to trace the entire 3-D retinal layer and anatomical features by the use of novel layer and edge detectors that are based on robust likelihood estimation. The layer and edge boundaries are finally obtained to achieve segmentation. Segmentation of retinal layers in mouse and human OCT images demonstrates the reliability and efficiency of the proposed user-guided segmentation method.
authors.affiliation: University of Washington, Department of Bioengineering, 3720 15th Avenue NE, Seattle, Washington 98195, United States.
authors.forename: Xin
authors.initials: X
authors.lastname: Yin
authors.affiliation: University of Washington, Department of Ophthalmology, 325 9th Avenue, Seattle, Washington 98104, United States.
authors.forename: Jennifer R
authors.initials: JR
authors.lastname: Chao
authors.affiliation: University of Washington, Department of Bioengineering, 3720 15th Avenue NE, Seattle, Washington 98195, United StatesbUniversity of Washington, Department of Ophthalmology, 325 9th Avenue, Seattle, Washington 98104, United States.
authors.forename: Ruikang K
authors.initials: RK
authors.lastname: Wang
mesh_terms: D000465:Algorithms; D000818:Animals; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D051379:Mice; D015588:Observer Variation; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012160:Retina / Q000033:anatomy & histology*; D042262:Retinoscopy / Q000379:methods*; D012680:Sensitivity and Specificity; D041623:Tomography, Optical Coherence / Q000379:methods*; D014584:User-Computer Interface