Literature DB >> 22427567

Signal quality assessment of retinal optical coherence tomography images.

Yijun Huang1, Sapna Gangaputra, Kristine E Lee, Ashwini R Narkar, Ronald Klein, Barbara E K Klein, Stacy M Meuer, Ronald P Danis.   

Abstract

PURPOSE: The purpose of this article was to assess signal quality of retinal optical coherence tomography (OCT) images from multiple devices using subjective and quantitative measurements.
METHODS: A total of 120 multiframe OCT images from 4 spectral domain OCT devices (Cirrus, RTVue, Spectralis, and 3D OCT-1000) were evaluated subjectively by trained graders, and measured quantitatively using a derived parameter, maximum tissue contrast index (mTCI). An intensity histogram decomposition model was proposed to separate the foreground and background information of OCT images and to calculate the mTCI. The mTCI results were compared with the manufacturer signal index (MSI) provided by the respective devices, and to the subjective grading scores (SGS).
RESULTS: Statistically significant correlations were observed between the paired methods (i.e., SGS and MSI, SGS and mTCI, and mTCI and MSI). Fisher's Z transformation indicated the Pearson correlation coefficient ρ ≥ 0.8 for all devices. Using the Deming regression, correlation parameters between the paired methods were established. This allowed conversion from the proprietary MSI values to SGS and mTCI that are universally applied to each device.
CONCLUSIONS: The study suggests signal quality of retinal OCT images can be evaluated subjectively and objectively, independent of the devices. Together with the proposed histogram decomposition model, mTCI may be used as a standardization metric for OCT signal quality that would affect measurements.

Entities:  

Mesh:

Year:  2012        PMID: 22427567      PMCID: PMC3995569          DOI: 10.1167/iovs.11-8755

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  12 in total

1.  Influence of OCT signal strength on macular, optic nerve head, and retinal nerve fiber layer parameters.

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Journal:  Invest Ophthalmol Vis Sci       Date:  2010-05-05       Impact factor: 4.799

2.  Reproducibility of retinal thickness measurements on normal and pathologic eyes by different optical coherence tomography instruments.

Authors:  Andrea Giani; Mario Cigada; Netan Choudhry; Antonio Peroglio Deiro; Marta Oldani; Marco Pellegrini; Alessandro Invernizzi; Piergiorgio Duca; Joan W Miller; Giovanni Staurenghi
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Review 3.  Recent developments in optical coherence tomography for imaging the retina.

Authors:  Mirjam E J van Velthoven; Dirk J Faber; Frank D Verbraak; Ton G van Leeuwen; Marc D de Smet
Journal:  Prog Retin Eye Res       Date:  2006-12-08       Impact factor: 21.198

4.  A new quality assessment parameter for optical coherence tomography.

Authors:  D M Stein; H Ishikawa; R Hariprasad; G Wollstein; R J Noecker; J G Fujimoto; J S Schuman
Journal:  Br J Ophthalmol       Date:  2006-02       Impact factor: 4.638

5.  Effect of image quality on tissue thickness measurements obtained with spectral domain-optical coherence tomography.

Authors:  Madhusudhanan Balasubramanian; Christopher Bowd; Gianmarco Vizzeri; Robert N Weinreb; Linda M Zangwill
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6.  Estimation of the linear relationship between the measurements of two methods with proportional errors.

Authors:  K Linnet
Journal:  Stat Med       Date:  1990-12       Impact factor: 2.373

7.  Comparing retinal thickness measurements from Cirrus spectral domain- and Stratus time domain-optical coherence tomography.

Authors:  Wolfgang Geitzenauer; Christopher G Kiss; Mary K Durbin; Maria Teresa A Abunto; Thomas M Callan; Paul F Stetson; Mark R Wieland; Neil M Bressler; Giovanni Gregori; Ursula M Schmidt-Erfurth
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Review 8.  New technology for high-speed and high-resolution optical coherence tomography.

Authors:  J G Fujimoto; B Bouma; G J Tearney; S A Boppart; C Pitris; J F Southern; M E Brezinski
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9.  Variation in optical coherence tomography signal quality as an indicator of retinal nerve fibre layer segmentation error.

Authors:  Lindsey S Folio; Gadi Wollstein; Hiroshi Ishikawa; Richard A Bilonick; Yun Ling; Larry Kagemann; Robert J Noecker; James G Fujimoto; Joel S Schuman
Journal:  Br J Ophthalmol       Date:  2011-09-06       Impact factor: 4.638

10.  The effect of phacoemulsification cataract surgery on the measurement of retinal nerve fiber layer thickness using optical coherence tomography.

Authors:  Mohamed El-Ashry; Shivashankar Appaswamy; Sunil Deokule; Sergio Pagliarini
Journal:  Curr Eye Res       Date:  2006-05       Impact factor: 2.424

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  31 in total

1.  Quantitative analysis of retinal layer optical intensities on three-dimensional optical coherence tomography.

Authors:  Xinjian Chen; Ping Hou; Chao Jin; Weifang Zhu; Xiaohong Luo; Fei Shi; Milan Sonka; Haoyu Chen
Journal:  Invest Ophthalmol Vis Sci       Date:  2013-10-21       Impact factor: 4.799

2.  Application of improved homogeneity similarity-based denoising in optical coherence tomography retinal images.

Authors:  Qiang Chen; Luis de Sisternes; Theodore Leng; Daniel L Rubin
Journal:  J Digit Imaging       Date:  2015-06       Impact factor: 4.056

3.  Image quality metrics for optical coherence angiography.

Authors:  Andrea Lozzi; Anant Agrawal; Adam Boretsky; Cristin G Welle; Daniel X Hammer
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4.  High dynamic range imaging concept-based signal enhancement method reduced the optical coherence tomography measurement variability.

Authors:  Hiroshi Ishikawa; Chieh-Li Chen; Gadi Wollstein; Jonathan L Grimm; Yun Ling; Richard A Bilonick; Ian A Sigal; Larry Kagemann; Joel S Schuman
Journal:  Invest Ophthalmol Vis Sci       Date:  2013-01-30       Impact factor: 4.799

5.  Individual A-scan signal normalization between two spectral domain optical coherence tomography devices.

Authors:  Chieh-Li Chen; Hiroshi Ishikawa; Gadi Wollstein; Yun Ling; Richard A Bilonick; Larry Kagemann; Ian A Sigal; Joel S Schuman
Journal:  Invest Ophthalmol Vis Sci       Date:  2013-05-17       Impact factor: 4.799

6.  Changes in macular thickness following glaucoma surgery.

Authors:  Priyamvada M Pitale; Usma Chatha; Varun Patel; Lalita Gupta; Michael Waisbourd; Michael J Pro
Journal:  Int J Ophthalmol       Date:  2016-08-18       Impact factor: 1.779

7.  Deep learning for quality assessment of retinal OCT images.

Authors:  Jing Wang; Guohua Deng; Wanyue Li; Yiwei Chen; Feng Gao; Hu Liu; Yi He; Guohua Shi
Journal:  Biomed Opt Express       Date:  2019-11-04       Impact factor: 3.732

8.  Automated Segmentation Errors When Using Optical Coherence Tomography to Measure Retinal Nerve Fiber Layer Thickness in Glaucoma.

Authors:  Steven L Mansberger; Shivali A Menda; Brad A Fortune; Stuart K Gardiner; Shaban Demirel
Journal:  Am J Ophthalmol       Date:  2016-11-04       Impact factor: 5.258

9.  Patient characteristics associated with artifacts in Spectralis optical coherence tomography imaging of the retinal nerve fiber layer in glaucoma.

Authors:  Yingna Liu; Huseyin Simavli; Christian John Que; Jennifer L Rizzo; Edem Tsikata; Rie Maurer; Teresa C Chen
Journal:  Am J Ophthalmol       Date:  2014-12-12       Impact factor: 5.258

10.  Variability in Spectral-Domain Optical Coherence Tomography over 4 Weeks by Age.

Authors:  Kerri P Howard; Charles S Chandler; Yijun Huang; Barbara E K Klein; Kristine E Lee; Stacy M Meuer; Ronald P Danis; Lorraine G Danforth; Ronald E Gangnon; Ronald Klein
Journal:  Ophthalmic Epidemiol       Date:  2016-04-29       Impact factor: 1.648

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