Literature DB >> 20059261

Reliability and reproducibility of macular segmentation using a custom-built optical coherence tomography retinal image analysis software.

Delia Cabrera DeBuc1, Gábor Márk Somfai, Sudarshan Ranganathan, Erika Tátrai, Mária Ferencz, Carmen A Puliafito.   

Abstract

We determine the reliability and reproducibility of retinal thickness measurements with a custom-built OCT retinal image analysis software (OCTRIMA). Ten eyes of five healthy subjects undergo repeated standard macular thickness map scan sessions by two experienced examiners using a Stratus OCT device. Automatic/semi automatic thickness quantification of the macula and intraretinal layers is performed using OCTRIMA software. Intraobserver, interobserver, and intervisit repeatability and reproducibility coefficients, and intraclass correlation coefficients (ICCs) per scan are calculated. Intraobserver, interobserver, and intervisit variability combined account for less than 5% of total variability for the total retinal thickness measurements and less than 7% for the intraretinal layers except the outer segment/ retinal pigment epithelium (RPE) junction. There is no significant difference between scans acquired by different observers or during different visits. The ICCs obtained for the intraobserver and intervisit variability tests are greater than 0.75 for the total retina and all intraretinal layers, except the inner nuclear layer intraobserver and interobserver test and the outer plexiform layer, intraobserver, interobserver, and intervisit test. Our results indicate that thickness measurements for the total retina and all intraretinal layers (except the outer segment/RPE junction) performed using OCTRIMA are highly repeatable and reproducible.

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Year:  2009        PMID: 20059261      PMCID: PMC2799495          DOI: 10.1117/1.3268773

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


  19 in total

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2.  Quantitative thickness measurement of retinal layers imaged by optical coherence tomography.

Authors:  Mahnaz Shahidi; Zhangwei Wang; Ruth Zelkha
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3.  Delineating fluid-filled region boundaries in optical coherence tomography images of the retina.

Authors:  Delia Cabrera Fernández
Journal:  IEEE Trans Med Imaging       Date:  2005-08       Impact factor: 10.048

4.  Optical coherence tomography.

Authors:  D Huang; E A Swanson; C P Lin; J S Schuman; W G Stinson; W Chang; M R Hee; T Flotte; K Gregory; C A Puliafito
Journal:  Science       Date:  1991-11-22       Impact factor: 47.728

5.  Reproducibility of retinal thickness measurements in normal eyes using optical coherence tomography.

Authors:  M Baumann; R C Gentile; J M Liebmann; R Ritch
Journal:  Ophthalmic Surg Lasers       Date:  1998-04

6.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
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7.  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

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

Authors:  B Sander; M Larsen; L Thrane; J L Hougaard; T M Jørgensen
Journal:  Br J Ophthalmol       Date:  2005-02       Impact factor: 4.638

9.  Macular segmentation with optical coherence tomography.

Authors:  Hiroshi Ishikawa; Daniel M Stein; Gadi Wollstein; Siobahn Beaton; James G Fujimoto; Joel S Schuman
Journal:  Invest Ophthalmol Vis Sci       Date:  2005-06       Impact factor: 4.799

Review 10.  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

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  33 in total

1.  Common-path low-coherence interferometry fiber-optic sensor guided microincision.

Authors:  Kang Zhang; Jin U Kang
Journal:  J Biomed Opt       Date:  2011-09       Impact factor: 3.170

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

Authors:  Yuhong Wang; Hong Jiang; Meixiao Shen; Byron L Lam; Delia Cabrera DeBuc; Yufeng Ye; Ming Li; Aizhu Tao; Yilei Shao; Jianhua Wang
Journal:  J Biomed Opt       Date:  2012-06       Impact factor: 3.170

3.  Revealing Henle's fiber layer using spectral domain optical coherence tomography.

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4.  Improving image segmentation performance and quantitative analysis via a computer-aided grading methodology for optical coherence tomography retinal image analysis.

Authors:  Delia Cabrera Debuc; Harry M Salinas; Sudarshan Ranganathan; Erika Tátrai; Wei Gao; Meixiao Shen; Jianhua Wang; Gábor M Somfai; Carmen A Puliafito
Journal:  J Biomed Opt       Date:  2010 Jul-Aug       Impact factor: 3.170

5.  Kernel regression based segmentation of optical coherence tomography images with diabetic macular edema.

Authors:  Stephanie J Chiu; Michael J Allingham; Priyatham S Mettu; Scott W Cousins; Joseph A Izatt; Sina Farsiu
Journal:  Biomed Opt Express       Date:  2015-03-09       Impact factor: 3.732

6.  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.

Authors:  Erika Tátrai; Sudarshan Ranganathan; Mária Ferencz; Delia Cabrera DeBuc; Gábor Márk Somfai
Journal:  J Biomed Opt       Date:  2011-05       Impact factor: 3.170

7.  Fully automated detection of diabetic macular edema and dry age-related macular degeneration from optical coherence tomography images.

Authors:  Pratul P Srinivasan; Leo A Kim; Priyatham S Mettu; Scott W Cousins; Grant M Comer; Joseph A Izatt; Sina Farsiu
Journal:  Biomed Opt Express       Date:  2014-09-12       Impact factor: 3.732

8.  Optimizing the information yield of 3-D OCT in glaucoma.

Authors:  Henriët Springelkamp; Kyungmoo Lee; Wishal D Ramdas; Johannes R Vingerling; Albert Hofman; Caroline C W Klaver; Milan Sonka; Michael D Abràmoff; Nomdo M Jansonius
Journal:  Invest Ophthalmol Vis Sci       Date:  2012-12-13       Impact factor: 4.799

9.  The structure and function of the macula in patients with advanced retinitis pigmentosa.

Authors:  Rita Vámos; Erika Tátrai; János Németh; Graham E Holder; Delia Cabrera DeBuc; Gábor Márk Somfai
Journal:  Invest Ophthalmol Vis Sci       Date:  2011-10-28       Impact factor: 4.799

10.  Automatic segmentation of up to ten layer boundaries in SD-OCT images of the mouse retina with and without missing layers due to pathology.

Authors:  Pratul P Srinivasan; Stephanie J Heflin; Joseph A Izatt; Vadim Y Arshavsky; Sina Farsiu
Journal:  Biomed Opt Express       Date:  2014-01-07       Impact factor: 3.732

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