Literature DB >> 21639572

Comparison of retinal thickness by Fourier-domain optical coherence tomography and OCT retinal image analysis software segmentation analysis derived from Stratus optical coherence tomography images.

Erika Tátrai1, Sudarshan Ranganathan, Mária Ferencz, Delia Cabrera DeBuc, Gábor Márk Somfai.   

Abstract

PURPOSE: To compare thickness measurements between Fourier-domain optical coherence tomography (FD-OCT) and time-domain OCT images analyzed with a custom-built OCT retinal image analysis software (OCTRIMA).
METHODS: Macular mapping (MM) by StratusOCT and MM5 and MM6 scanning protocols by an RTVue-100 FD-OCT device are performed on 11 subjects with no retinal pathology. Retinal thickness (RT) and the thickness of the ganglion cell complex (GCC) obtained with the MM6 protocol are compared for each early treatment diabetic retinopathy study (ETDRS)-like region with corresponding results obtained with OCTRIMA. RT results are compared by analysis of variance with Dunnett post hoc test, while GCC results are compared by paired t-test.
RESULTS: A high correlation is obtained for the RT between OCTRIMA and MM5 and MM6 protocols. In all regions, the StratusOCT provide the lowest RT values (mean difference 43 ± 8 μm compared to OCTRIMA, and 42 ± 14 μm compared to RTVue MM6). All RTVue GCC measurements were significantly thicker (mean difference between 6 and 12 μm) than the GCC measurements of OCTRIMA.
CONCLUSION: High correspondence of RT measurements is obtained not only for RT but also for the segmentation of intraretinal layers between FD-OCT and StratusOCT-derived OCTRIMA analysis. However, a correction factor is required to compensate for OCT-specific differences to make measurements more comparable to any available OCT device.

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Year:  2011        PMID: 21639572      PMCID: PMC3104045          DOI: 10.1117/1.3573817

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  35 in total

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Authors:  Mirjam E J van Velthoven; Dirk J Faber; Frank D Verbraak; Ton G van Leeuwen; Marc D de Smet
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2.  Comparison of spectral- and time-domain optical coherence tomography for retinal thickness measurements in healthy and diseased eyes.

Authors:  Ian C Han; Glenn J Jaffe
Journal:  Am J Ophthalmol       Date:  2009-02-06       Impact factor: 5.258

3.  Comparison of macular thickness measurements between time domain and spectral domain optical coherence tomography.

Authors:  Christopher Kai-shun Leung; Carol Yim-lui Cheung; Robert N Weinreb; Gary Lee; Dusheng Lin; Chi Pui Pang; Dennis S C Lam
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4.  Evaluation of image artifact produced by optical coherence tomography of retinal pathology.

Authors:  Robin Ray; Sandra S Stinnett; Glenn J Jaffe
Journal:  Am J Ophthalmol       Date:  2005-01       Impact factor: 5.258

5.  Macular and retinal nerve fiber layer analysis of normal and glaucomatous eyes in children using optical coherence tomography.

Authors:  Derek B Hess; Sanjay G Asrani; Manisha G Bhide; Laura B Enyedi; Sandra S Stinnett; Sharon F Freedman
Journal:  Am J Ophthalmol       Date:  2005-03       Impact factor: 5.258

6.  Enhanced optical coherence tomography imaging by multiple scan averaging.

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7.  Macular thickness measurements in healthy eyes using six different optical coherence tomography instruments.

Authors:  Ute E K Wolf-Schnurrbusch; Lala Ceklic; Christian K Brinkmann; Milko E Iliev; Manuel Frey; Simon P Rothenbuehler; Volker Enzmann; Sebastian Wolf
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Review 8.  State-of-the-art retinal optical coherence tomography.

Authors:  Wolfgang Drexler; James G Fujimoto
Journal:  Prog Retin Eye Res       Date:  2007-08-11       Impact factor: 21.198

9.  Macular thickness measurements in normal eyes with time-domain and Fourier-domain optical coherence tomography.

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10.  Macular thickness measurements in normal eyes using spectral domain optical coherence tomography.

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  11 in total

1.  Quantitative analysis of the intraretinal layers and optic nerve head using ultra-high resolution optical coherence tomography.

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2.  Transfer learning based classification of optical coherence tomography images with diabetic macular edema and dry age-related macular degeneration.

Authors:  S P K Karri; Debjani Chakraborty; Jyotirmoy Chatterjee
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3.  The structure and function of the macula in patients with advanced retinitis pigmentosa.

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4.  Learning layer-specific edges for segmenting retinal layers with large deformations.

Authors:  S P K Karri; Debjani Chakraborthi; Jyotirmoy Chatterjee
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5.  Retinal hyperaemia-related blood vessel artifacts are relevant to automated OCT layer segmentation.

Authors:  L J Balk; M Mayer; B M J Uitdehaag; A Petzold
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6.  In vivo evaluation of retinal neurodegeneration in patients with multiple sclerosis.

Authors:  Erika Tátrai; Magdolna Simó; Anna Iljicsov; János Németh; Delia Cabrera Debuc; Gábor Márk Somfai
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7.  Repeatability and reproducibility of eight macular intra-retinal layer thicknesses determined by an automated segmentation algorithm using two SD-OCT instruments.

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Journal:  PLoS One       Date:  2014-02-05       Impact factor: 3.240

8.  The effect of incorrect scanning distance on boundary detection errors and macular thickness measurements by spectral domain optical coherence tomography: a cross sectional study.

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9.  A morphological study of retinal changes in unilateral amblyopia using optical coherence tomography image segmentation.

Authors:  Andrea Szigeti; Erika Tátrai; Anna Szamosi; Péter Vargha; Zoltán Zsolt Nagy; János Németh; Delia Cabrera DeBuc; Gábor Márk Somfai
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10.  Retinal thickness changes after phacoemulsification.

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