Abstract
Optic nerve head (ONH) is a crucial region for glaucoma detection and tracking based on spectral domain optical coherence tomography (SD-OCT) images. In this region, the existence of a "hole" structure makes retinal layer segmentation and analysis very challenging. To improve retinal layer segmentation, we propose a 3D method for ONH centered SD-OCT image segmentation, which is based on a modified graph search algorithm with a shared-hole and locally adaptive constraints. With the proposed method, both the optic disc boundary and nine retinal surfaces can be accurately segmented in SD-OCT images. An overall mean unsigned border positioning error of 7.27 ± 5.40 µm was achieved for layer segmentation, and a mean Dice coefficient of 0.925 ± 0.03 was achieved for optic disc region detection.
Highlights
Optical coherence tomography (OCT) is a noninvasive imaging technology that produces high-resolution cross-sectional images of retina [1]
With the rank of feature permutation accuracy importance, we compared proposed method with several different feature settings and several other methods: method 1, random forest trained with feature 1-9; method 2, random forest trained with feature 10-41 (ORB features); method 3, random forest trained with top 30 features of permutation accuracy importance; method 4, random forest trained with top 35 features of permutation accuracy importance; method 5, Zang’s method [30] with feature 4; and method 6, Hu’s method [25]
We have proposed a novel method for automated segmentation of retinal layers and optic disc region on Optic nerve head (ONH) centered spectral domain optical coherence tomography (SD-OCT) images both for glaucomatous eyes and normal eyes
Summary
Optical coherence tomography (OCT) is a noninvasive imaging technology that produces high-resolution cross-sectional images of retina [1]. It has been increasingly used for diagnosing and managing a variety of eye diseases, such as glaucoma, macular hole, agerelated macular degeneration (AMD), and diabetic macular edema (DME) [2]. Glaucoma is the leading cause of irreversible blindness globally. Because glaucoma may be asymptomatic until a relatively late stage, diagnosis is often delayed [4]. As a result, improved methods for glaucoma screening and quantitative analysis are urgently needed [5,6]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
