Comparison of spectral domain and swept-source optical coherence tomography in pathological myopia

L, Lim; Cheung, Chui Ming Gemmy; Lee, S Y

doi:10.1038/eye.2013.308

Cited by 53 publications

(31 citation statements)

References 11 publications

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“…Furthermore, detailed images with broader information can be obtained by OCT with additional detection of differences in polarization (polarization-sensitive OCT) [11]. In particular, SS-OCT (swept source OCT) is able to obtain subsurface cross-sectional images with micron-level resolution by analyzing the interference pattern created by the mixing of light in a Michelson interferometer, and is more sensitive than earlier OCT systems [2,6,9,13,16,18,19].…”

Section: Introductionmentioning

confidence: 99%

Dental optical coherence tomography: new potential diagnostic system for cracked-tooth syndrome

Lee

Chung

et al. 2015

Surg Radiol Anat

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Section: Introductionmentioning

confidence: 99%

Dental optical coherence tomography: new potential diagnostic system for cracked-tooth syndrome

Lee

Chung

et al. 2015

Surg Radiol Anat

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“…4-12 It has been shown that visual signals, e.g. form deprivation or defocus, can lead to refractive error.…”

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confidence: 99%

Validation of Macular Choroidal Thickness Measurements from Automated SD-OCT Image Segmentation

Twa¹,

Schulle

Chiu³

et al. 2016

Optom Vis Sci

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Purpose Spectral domain optical coherence tomography (SD-OCT) imaging permits in vivo visualization of the choroid with micron-level resolution over wide areas and is of interest for studies of ocular growth and myopia control. We evaluated the speed, repeatability and accuracy of a new a new image segmentation method to quantify choroid thickness compared to manual segmentation. Methods Two macular volumetric scans (25×30°) were taken from 30 eyes of 30 young adult subjects in two sessions, one hour apart. A single rater manually delineated choroid thickness as the distance between Bruch’s membrane and sclera across three B-scans (foveal, inferior and superior-most scan locations). Manual segmentation was compared to an automated method based on graph theory, dynamic programming, and wavelet-based texture analysis. Segmentation performance comparisons included processing speed, choroid thickness measurements across the foveal horizontal midline, and measurement repeatability (95% limits of agreement (LoA)). Results Subjects were healthy young adults (n=30; 24±2y; mean±SD; 63% female) with spherical equivalent refractive error of: −3.46±2.69 D (range: +2.62 to −8.50 D). Manual segmentation took 200 times longer than automated segmentation (780 vs 4 seconds). Mean choroid thickness at the foveal center was 263±24 μm (manual) and 259±23 μm (automated), and this difference was not significant (P = .10). Regional segmentation errors across the foveal horizontal midline (±15°) were ≤9 μm (median) except for nasal-most regions closest to the nasal peripapillary margin—15° (19μm) and 12° (16 μm) from the foveal center. Repeatability of choroidal thickness measurements had similar repeatability between segmentation methods (manual LoA: ±15 μm; automated LoA: ±14 μm). Conclusions Automated segmentation of SD-OCT data by graph theory and dynamic programming is a fast, accurate, and reliable method to delineate the choroid. This approach will facilitate longitudinal studies evaluating changes in choroid thickness in response to novel optical corrections and in ocular disease.

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“…1 А, Б). Современная номенклатура оптической когерентной томографии, сформированная с помощью спектральной ОКТ, учитывает 18 продольных структур от стекловид-ного тела до склеры в изображении заднего отрезка глаз-ного яблока: 1 -задняя гиалоидная мембрана, 2 -пре-ретинальное пространство, 3 -слой нервных волокон сетчатки, 4 -слой ганглиозных клеток, 5 -внутренний плексиформный слой, 6 -внутренний ядерный слой, 7 -наружный плексиформный слой, 8 -наружный ядер-ный слой + слой волокон Генле, 9 -наружная погра-ничная мембрана, 10 -миоидная зона фоторецепторов (внутренние сегменты фоторецепторов), 11 -эллипсо-идная зона фоторецепторов (сочленение внутренних и наружных сегментов фоторецепторов), 12 -наружные сегменты фоторецепторов, 13 -зона сочленения колбо-чек с пигментным эпителием, 14 -комплекс "пигмент-ный эпителий -мембрана Бруха", 15 -хориокапилля-ры, 16 -слой Заттлера, 17 -слой Галлера, 18 -склеро-хориоидальное сочленение [9].…”

Section: Issn 1816-5095 (Print); Issn 2500-0845 (Online) Doi: 101800unclassified

Comparative Analysis of Automatic Layer-by-Layer Segmentation Using Optical Coherent Tomographs Dri Oct and Retinascan-3000 in Healthy Patients

Бикбов¹,

Файзрахманов²,

Gilmanshin³

et al. 2017

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Comparison of spectral domain and swept-source optical coherence tomography in pathological myopia

Cited by 53 publications

References 11 publications

Dental optical coherence tomography: new potential diagnostic system for cracked-tooth syndrome

Dental optical coherence tomography: new potential diagnostic system for cracked-tooth syndrome

Validation of Macular Choroidal Thickness Measurements from Automated SD-OCT Image Segmentation

Comparative Analysis of Automatic Layer-by-Layer Segmentation Using Optical Coherent Tomographs Dri Oct and Retinascan-3000 in Healthy Patients

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