Automated retinal layers segmentation in SD-OCT images using dual-gradient and spatial correlation smoothness constraint

Niu, Sijie; Chen, Qiang; Sisternes, Luís de; Rubin, Daniel L.; Zhang, Weiwei; Liu, Qing-Huai

doi:10.1016/j.compbiomed.2014.08.028

Cited by 51 publications

(35 citation statements)

References 48 publications

(63 reference statements)

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“…Yet, these commercially available OCT devices generate automated thickness maps for only limited layers such as TRT and GCIPL thicknesses 21,31,32. The advances in automated and semiautomated segmentation have facilitated delineation of multiple intraretinal layers in three dimensions 27,29,30,33,34. However, with the exception of Orion, a software that automates the thickness mappings of six to eleven intraretinal layers is not commercially available.…”

Section: Discussionmentioning

confidence: 99%

The measurement repeatability using different partition methods of intraretinal tomographic thickness maps in healthy human subjects

Tan¹,

Ye²,

Jiang³

et al. 2016

OPTH

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PurposeTo determine the repeatability and profiles with different partition methods in intraretinal thickness layers in healthy human subjects, using optical coherence tomography (OCT).MethodsA custom-built ultrahigh-resolution OCT was used to acquire three-dimensional volume of the macula in 20 healthy subjects. The dataset was acquired twice using the macular cube 512×128 protocol in an area of 6×6 mm2 centered on the fovea. Commercially available segmentation software (Orion™) was used to segment the dataset into thickness maps of six intraretinal layers. The coefficient of repeatability and intraclass coefficient of correlation (ICC) were analyzed using hemispheric zoning and sectors defined by the Early Treatment Diabetic Retinopathy Study (ETDRS).ResultsAll datasets were successfully segmented to create six thickness maps of individual intraretinal layers. Coefficients of repeatabilities of these layers in hemispheric zones ranged from 0.9 to 6.6 µm, with an average of 3.6 µm (standard deviation [SD] 1.4), which was not significantly different compared to ETDRS sectors (P>0.05). ICCs of these layers in hemispheric zones ranged from 0.68 to 0.99, with an average of 0.91 (SD 0.07). There were no significant differences in ICCs between two zoning methods (P>0.05). Significant variations of tomographic intraretinal thicknesses were found between the inner and outer annuli and among the quadrantal sectors within the inner and outer annuli (P<0.05). Significant variations of the quadrantal sectors including both inner and outer annuli were evident in intraretinal layers (P<0.05) except for the outer plexiform layer.ConclusionThe measurement repeatabilities of tomographic thicknesses of intraretinal layers are comparable using both hemispheric and ETDRS partitions in volumetric data combined with the commercially available segmentation software. In keeping with known, normal anatomical variation, significant differences in tomographic thickness in various intraretinal layers were apparent in both hemispheric and ETDRS sectors.

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Section: Discussionmentioning

confidence: 99%

The measurement repeatability using different partition methods of intraretinal tomographic thickness maps in healthy human subjects

Tan¹,

Ye²,

Jiang³

et al. 2016

OPTH

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“…Most segmentation methods of retinal layers are based on intensity information. The boundaries of the internal limiting membrane (ILM) and the RPE are the most prominent ones in SD-OCT images because their intensity contrast is usually highest [21]. Therefore, the ILM and the RPE usually allow for robust segmentation, whereas the segmentation of layers between the ILM and the RPE is more complex and segmentation success is more limited by intensity discontinuity and inconsistencies in the retinal layers.…”

Section: Heidelberg Spectralismentioning

confidence: 99%

Optical Coherence Tomography Angiography Offers New Insights into Choriocapillaris Perfusion

Lauermann¹,

Eter²,

Alten³

2018

Ophthalmologica

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The choriocapillaris (CC) represents a fundamentally important vascular layer that is subject to physiologic changes with increasing age and that is also associated with a wide range of chorioretinal diseases. So far, information on blood flow in this specific layer has remained limited. With the advent of optical coherence tomography angiography (OCTA), new perspectives and possibilities of CC imaging have begun to evolve. This article shall review the opportunities and challenges of applying OCTA technology to the CC layer and summarize the current clinical efforts in OCTA CC imaging exemplarily in dry age-related macular degeneration and central serous chorioretinopathy.

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“…Authors Year Preprocessing Segmentation Classification Nasrulloh et al [11] 2018 Yes Yes No Keller et al [26] 2016 Yes Yes No Miri et al [96] 2016 Yes Yes No Zhang et al [5] 2015 Yes Yes No Xu et al [27] 2013 Yes Yes No Liu et al [19] 2011 Yes Yes Yes Duan et al [43] 2017 Yes Yes No Sui et al [28] 2017 [106] 2017 Yes Yes No Athira et al [107] 2018 Yes Yes No Gopinath et al [108] 2017 No Yes No Dodo et al [109] 2019 Yes Yes No Duan et al [110] 2015 Yes Yes No Lang et al [111] 2017 Yes Yes No Niu et al [112] 2014 Yes Yes No Rossant et al [113] 2015 Yes Yes No Tian et al [114] 2015 Yes Yes No Huang et al [80] 2019 No Yes Yes Nath et al [82] 2018 Yes Yes Yes Hassan and Hassan [81] 2019 Yes Yes Yes Hassan et al [1] 2016 Yes Yes Yes Fang et al [115] 2017 Yes Yes Yes the B-scans [93,94]. The OCTID was the only publicly available database found with only cases of macular holes pathology [95].…”

Section: Acquisition Of Datamentioning

confidence: 99%

Automatic Segmentation of Macular Holes in Optical Coherence Tomography Images: A review

Mendes¹,

Lucena²,

Lucena³

et al. 2020

AIS

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Macular holes are a blinding condition that occur due to overuse of the fovea, in which a hole alters the natural retinal structure. Optical Coherence Tomography (OCT) is a way of mapping and shaping retinal sections without physical contact and has become a powerful tool for diagnosing pathologies. This paper deals with a review of automated segmentation of macular holes in OCT images, detailing its varied possibilities. It may be considered something new, no reviews were made about the topic. The purpose of this review is to show the latest trends, through the approaches in preprocessing and segmentation. Recent studies were used to validate the research, 2011 onwards, from the Science Direct, IEEE, PubMed and Google scholar bases. The objectives, methodology, tools, database, advantages, disadvantages, validation metrics and results of the selected material are analyzed and mentioned. Based on this, techniques and their results are compared. From this, future outlook scenarios of automated segmentation of macular holes in OCT images are mentioned.

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Automated retinal layers segmentation in SD-OCT images using dual-gradient and spatial correlation smoothness constraint

Cited by 51 publications

References 48 publications

The measurement repeatability using different partition methods of intraretinal tomographic thickness maps in healthy human subjects

The measurement repeatability using different partition methods of intraretinal tomographic thickness maps in healthy human subjects

Optical Coherence Tomography Angiography Offers New Insights into Choriocapillaris Perfusion

Automatic Segmentation of Macular Holes in Optical Coherence Tomography Images: A review

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