Academic Journal

Automated 3-D Retinal Layer Segmentation From SD-OCT Images With Neurosensory Retinal Detachment

التفاصيل البيبلوغرافية
العنوان: Automated 3-D Retinal Layer Segmentation From SD-OCT Images With Neurosensory Retinal Detachment
المؤلفون: Loza Bekalo, Sijie Niu, Xiaojun He, Ping Li, Idowu Paul Okuwobi, Chenchen Yu, Wen Fan, Songtao Yuan, Qiang Chen
المصدر: IEEE Access, Vol 7, Pp 14894-14907 (2019)
بيانات النشر: IEEE, 2019.
سنة النشر: 2019
المجموعة: LCC:Electrical engineering. Electronics. Nuclear engineering
مصطلحات موضوعية: Graph cut, graph optimization, graph search, neurosensory retinal detachment (NRD), retinal layer segmentation, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
الوصف: Neurosensory retinal detachment (NRD) is a separation of the neurosensory retina from the retinal pigment epithelium (RPE) because of the subretinal fluid that can result in significant vision loss. The detachment of the neurosensory retina is known to alter the topology as well as the intensity continuity of the retinal layers. This nature of NRD makes the layer segmentation of NRD affected eyes difficult. In this paper, we presented a fully automated three-dimensional (3D) method to segment the retinal layers and NRD associated subretinal fluid from a spectral domain optical coherence tomography (SD-OCT) image. The proposed method has three phases, including a prior information model; an NRD associated subretinal fluid segmentation; and layer segmentation. The graph search and graph cut techniques were employed to segment the retinal layers and NRD associated sub-retinal fluid, respectively. To reduce the computational cost of graph-based optimization, the `divide and merge' approach was introduced. The experiment shows that while maintaining the segmentation accuracy, the `divide and merge' approach considerably decreases the computational cost. Our method was evaluated on 20 SD-OCT cubes diagnosed with NRD, and the results were compared with the manual segmentation results from experts. The layer evaluation showed an overall absolute surface position difference of 6.34 ± 2.6μm, which is comparable with the inter-expert variability of 6.39 ± 5.9 μm. The segmentation result of the NRD associated sub-retinal fluid was assessed in terms of the dice coefficient and achieved means of 90.78% and 92.04% in comparison to two experts.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2169-3536
Relation: https://ieeexplore.ieee.org/document/8620197/; https://doaj.org/toc/2169-3536
DOI: 10.1109/ACCESS.2019.2893954
URL الوصول: https://doaj.org/article/a366b5477ce0461a9b28d4a893b8fd6b
رقم الانضمام: edsdoj.366b5477ce0461a9b28d4a893b8fd6b
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:21693536
DOI:10.1109/ACCESS.2019.2893954