Automated Segmentation of Optic Nerve Head Structures With Optical Coherence Tomography

Almobarak, Faisal A.; O’Leary, Neil; Reis, Arlete Barbosa dos; Sharpe, Glen P.; Hutchison, Donna M.; Nicolela, Marcelo T.; Chauhan, Balwantray C.

doi:10.1167/iovs.13-13310

Cited by 35 publications

(21 citation statements)

References 25 publications

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“…A recent work by Almobarak et al. () on automated segmentation accuracy showed that mean BMO segmentation error was around 12 μ m; however, there were some cases in which this error was significantly higher. In our work, we also observed in the interobserver analysis a few cases with high BMO area variability (see outliers in Fig.…”

Section: Discussionmentioning

confidence: 94%

Intra‐ and interobserver reproducibility of Bruch's membrane opening minimum rim width measurements with spectral domain optical coherence tomography

Reis

Zangalli

Abe

et al. 2017

Acta Ophthalmologica

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Section: Discussionmentioning

confidence: 94%

Intra‐ and interobserver reproducibility of Bruch's membrane opening minimum rim width measurements with spectral domain optical coherence tomography

Reis

Zangalli

Abe

et al. 2017

Acta Ophthalmologica

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“…The BMO minimum rim width (BMO-MRW) is now defined as a new parameter for the diagnosis of glaucoma. Determining MRW in this way is said to result in the most geometrically accurate measurement compared to scanning methods that have been in use since the introduction of OCT. 7,14 Kook et al 5 reported that in the ONH, BMO-MRW represents the outer margin of the neuroretinal rim and is an anatomically definitive structure that allows neuroretinal rim measurements. When making measurements with standard OCT devices, the optic disc margins are determined by clinical estimation, which is very error-prone (Figure 6).…”

Section: Discussionmentioning

confidence: 99%

Does Foveal Position Relative to the Optic Disc Affect Optical Coherence Tomography Measurements in Glaucoma?

Tuncer

Altuğ

2018

tjo

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Objectives:To determine interindividual variability in the angle between the anatomic axis connecting the fovea and optic disc center and the horizontal meridian using spectral domain optical coherence tomography (OCT).Materials and Methods:A total of 260 eyes of 133 subjects (81 women, 52 men) with glaucoma or suspected glaucoma were included in the study retrospectively. Fovea-disc angle (FoDi angle) measurements, determined as the angle between the horizontal meridian passing through the Bruch’s membrane opening (BMO) center and the line connecting the fovea and BMO center, were recorded from spectral domain-OCT scans performed by the same investigator. FoDi angle was defined as negative if the fovea was located below the horizontal meridian through the BMO center and positive if the fovea was located above it.Results:The mean age of the participants was 56.5±14.6 years (27-83 years). The mean FoDi angle was -6.43±4.96° (range: -24.40° to +11.60°). Absolute deviation of the fovea BMO axis from the horizontal axis was 0-5° in 83 eyes (31.92%), 5-10° in 124 eyes (47.69%), 10-15° in 41 eyes (15.76%), 15-20° in 10 eyes (3.84%), and greater than 20° in 2 eyes (0.79%).Conclusion:Most OCT devices currently used in the treatment and follow-up of glaucoma patients provide peripapillary retinal nerve fiber layer (RNFL) thickness measurements that are made based on a clinical axis in reference to the horizontal meridian passing through the optic disc center. The results of our study reveal interindividual variation in FoDi angle as well as intraindividual differences in FoDi angle between fellow eyes in the same individual. Disparity between clinical and anatomic quadrants could impact RNFL thickness measurements, which may lead to errors in the diagnosis of glaucoma.

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“…Current segmentation approaches include the blood vessels as part of the ILM surface which increase the possibility of inaccurate measurement of the structural parameters such as BMO-MRW. The correct way of dealing with retinal blood vessels is controversial [21], however, we currently argue that doing a better job of only including the non-vascular tissue can provide the most precise measurements of glaucoma parameters of interest such as BMO-MRW, where going around the vessels would lead to overestimating the MRW. Note that as BMO-MRW is measured as the shortest Euclidean distance from the BMO to the ILM surface, depending on the location of blood vessels, and the closest point on the ILM surface to BMO, the BMO-MRW parameter may or may not be affected by the presence of blood vessel.…”

Section: Discussionmentioning

confidence: 99%

Incorporation of gradient vector flow field in a multimodal graph-theoretic approach for segmenting the internal limiting membrane from glaucomatous optic nerve head-centered SD-OCT volumes

Miri

Robles

Abràmoff

et al. 2017

Computerized Medical Imaging and Graphics

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The internal limiting membrane (ILM) separates the retina and optic nerve head (ONH) from the vitreous. In the optical coherence tomography volumes of glaucoma patients, while current approaches for the segmentation of the ILM in the peripapillary and macular regions are considered robust, current approaches commonly produce ILM segmentation errors at the ONH due to the presence of blood vessels and/or characteristic glaucomatous deep cupping. Because a precise segmentation of the ILM surface at the ONH is required for computing several newer structural measurements including Bruch's membrane opening-minimum rim width (BMO-MRW) and cup volume, in this study, we propose a multimodal multiresolution graph-based method to precisely segment the ILM surface within ONH-centered spectral-domain optical coherence tomography (SD-OCT) volumes. In particular, the gradient vector flow (GVF) field, which is computed from a multiresolution initial segmentation, is employed for calculating a set of non-overlapping GVF-based columns perpendicular to the initial segmentation. The GVF columns are utilized to resample the volume and also serve as the columns to the graph construction. The ILM surface in the resampled volume is fairly smooth and does not contain the steep slopes. This prior shape knowledge along with the blood vessel information, obtained from registered fundus photographs, are incorporated in a graph-theoretic approach in order to identify the location of the ILM surface. The proposed method is tested on the SD-OCT volumes of 44 subjects with various stages of glaucoma and significantly smaller segmentation errors were obtained than that of current approaches.

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Automated Segmentation of Optic Nerve Head Structures With Optical Coherence Tomography

Abstract: In individual scans, the median difference in ILM and BMO segmentations was <2 and <3 image pixels, respectively. There were no differences between patients and controls in ΔBMO-MRW.

Cited by 35 publications

References 25 publications

Intra‐ and interobserver reproducibility of Bruch's membrane opening minimum rim width measurements with spectral domain optical coherence tomography

Intra‐ and interobserver reproducibility of Bruch's membrane opening minimum rim width measurements with spectral domain optical coherence tomography

Does Foveal Position Relative to the Optic Disc Affect Optical Coherence Tomography Measurements in Glaucoma?

Incorporation of gradient vector flow field in a multimodal graph-theoretic approach for segmenting the internal limiting membrane from glaucomatous optic nerve head-centered SD-OCT volumes

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