Literature DB >> 20094011

Artifacts in automatic retinal segmentation using different optical coherence tomography instruments.

Andrea Giani1, Mario Cigada, Daniel D Esmaili, Paola Salvetti, Saverio Luccarelli, Ermengarda Marziani, Cristiano Luiselli, Pierfilippo Sabella, Matteo Cereda, Chiara Eandi, Giovanni Staurenghi.   

Abstract

PURPOSE: The purpose of this study was to compare and evaluate artifact errors in automatic inner and outer retinal boundary detection produced by different time-domain and spectral-domain optical coherence tomography (OCT) instruments.
METHODS: Normal and pathologic eyes were imaged by six different OCT devices. For each instrument, standard analysis protocols were used for macular thickness evaluation. Error frequencies, defined as the percentage of examinations affected by at least one error in retinal segmentation (EF-exam) and the percentage of total errors per total B-scans, were assessed for each instrument. In addition, inner versus outer retinal boundary delimitation and central (1,000 microm) versus noncentral location of errors were studied.
RESULTS: The study population of the EF-exam for all instruments was 25.8%. The EF-exam of normal eyes was 6.9%, whereas in all pathologic eyes, it was 32.7% (P < 0.0001). The EF-exam was highest in eyes with macular holes, 83.3%, followed by epiretinal membrane with cystoid macular edema, 66.6%, and neovascular age-related macular degeneration, 50.3%. The different OCT instruments produced different EF-exam values (P < 0.0001). The Zeiss Stratus produced the highest percentage of total errors per total B-scans compared with the other OCT systems, and this was statistically significant for all devices (P < or = 0.005) except the Optovue RTvue-100 (P = 0.165).
CONCLUSION: Spectral-domain OCT instruments reduce, but do not eliminate, errors in retinal segmentation. Moreover, accurate segmentation is lower in pathologic eyes compared with normal eyes for all instruments. The important differences in EF among the instruments studied are probably attributable to analysis algorithms used to set retinal inner and outer boundaries. Manual adjustments of retinal segmentations could reduce errors, but it will be important to evaluate interoperator variability.

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Year:  2010        PMID: 20094011     DOI: 10.1097/IAE.0b013e3181c2e09d

Source DB:  PubMed          Journal:  Retina        ISSN: 0275-004X            Impact factor:   4.256


  30 in total

1.  Inter-device size variation of small choroidal nevi measured using stereographic projection ultra-widefield imaging and optical coherence tomography.

Authors:  Peter Maloca; Cyrill Gyger; Andreas Schoetzau; Pascal W Hasler
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2015-11-04       Impact factor: 3.117

2.  Effect of optical coherence tomography scan decentration on macular center subfield thickness measurements.

Authors:  Jeong W Pak; Ashwini Narkar; Sapna Gangaputra; Ronald Klein; Barbara Klein; Stacy Meuer; Yijun Huang; Ronald P Danis
Journal:  Invest Ophthalmol Vis Sci       Date:  2013-07-02       Impact factor: 4.799

Review 3.  Optical coherence tomography: history, current status, and laboratory work.

Authors:  Michelle L Gabriele; Gadi Wollstein; Hiroshi Ishikawa; Larry Kagemann; Juan Xu; Lindsey S Folio; Joel S Schuman
Journal:  Invest Ophthalmol Vis Sci       Date:  2011-04-14       Impact factor: 4.799

4.  Characteristics of eyes with secondary loss of visual acuity receiving variable dosing ranibizumab for neovascular age-related macular degeneration.

Authors:  Alessandro Mariani; Angeliki Deli; Aude Ambresin; Irmela Mantel
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2011-07-02       Impact factor: 3.117

5.  Effect of OCT volume scan density on thickness measurements in diabetic macular edema.

Authors:  M G Nittala; R Konduru; H Ruiz-Garcia; S R Sadda
Journal:  Eye (Lond)       Date:  2011-07-15       Impact factor: 3.775

Review 6.  The role of spectral-domain OCT in the diagnosis and management of neovascular age-related macular degeneration.

Authors:  Caio V Regatieri; Lauren Branchini; Jay S Duker
Journal:  Ophthalmic Surg Lasers Imaging       Date:  2011-07

7.  Spectral domain optical coherence tomography imaging of drusen in nonexudative age-related macular degeneration.

Authors:  Giovanni Gregori; Fenghua Wang; Philip J Rosenfeld; Zohar Yehoshua; Ninel Z Gregori; Brandon J Lujan; Carmen A Puliafito; William J Feuer
Journal:  Ophthalmology       Date:  2011-03-09       Impact factor: 12.079

8.  Fluorescein angiography versus optical coherence tomography for diagnosis of uveitic macular edema.

Authors:  John H Kempen; Elizabeth A Sugar; Glenn J Jaffe; Nisha R Acharya; James P Dunn; Susan G Elner; Susan L Lightman; Jennifer E Thorne; Albert T Vitale; Michael M Altaweel
Journal:  Ophthalmology       Date:  2013-05-21       Impact factor: 12.079

9.  Detection of retinal changes in Parkinson's disease with spectral-domain optical coherence tomography.

Authors:  Grant D Aaker; Jane S Myung; Joshua R Ehrlich; Mujtaba Mohammed; Claire Henchcliffe; Szilárd Kiss
Journal:  Clin Ophthalmol       Date:  2010-12-06

10.  Impact of optical coherence tomography scanning density on quantitative analyses in neovascular age-related macular degeneration.

Authors:  S B Velaga; M G Nittala; R K Konduru; F Heussen; P A Keane; S R Sadda
Journal:  Eye (Lond)       Date:  2016-12-02       Impact factor: 3.775

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