ArticleTranslational vision science & technology2019
A Novel Method for the Objective Identification of Hyperautofluorescent Ring in Retinitis Pigmentosa Using Binarization Processing.
Article in Translational vision science & technology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Estimation of Visual Function Using Deep Learning From Ultra-Widefield Fundus Images of Eyes With Retinitis Pigmentosa.JAMA ophthalmology · 2023Article
- Genetic, environmental and other risk factors for progression of retinitis pigmentosa.International journal of ophthalmology · 2022Review
- Structural evaluation in inherited retinal diseases.The British journal of ophthalmology · 2021Review
- Correlation between fundus autofluorescence and visual function in patients with cone-rod dystrophy.Scientific reports · 2021Article
- Imaging of a retinal pigment epithelium aperture using polarization-sensitive optical coherence tomography.Japanese journal of ophthalmology · 2021Article
- Comparison between blue-on-yellow and white-on-white perimetry in patients with branch retinal vein occlusion.Scientific reports · 2020Article
- A Prediction Method of Visual Field Sensitivity Using Fundus Autofluorescence Images in Patients With Retinitis Pigmentosa.Investigative ophthalmology & visual science · 2020Article
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Authors and funding
10 authors.
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Abstract
purposeTo assess precision and accuracy of a new objective algorithm using binarization in a software for identifying the hyperautofluorescent ring (AF ring) in retinitis pigmentosa (RP) compared with subjective visual inspection.
methodsUltra-widefield AF images were obtained from 23 eyes of 13 patients with retinitis pigmentosa (RP). We defined the borders of the AF rings using semiautomatic binarization algorithm in Fiji software. We compared the degree of precision (intra- and interrater agreements) of this algorithm and that of subjective visual inspection (freehand method) using Jaccard indices (JIs). To compare the classification performance (whether 68 points of Humphrey Field Analyzer is classified as inside, on, or outside AF rings), we calculated percent agreement and weighted kappa statistic between the two methods. The relationship between the distance from the AF ring and retinal sensitivities was also investigated.
resultsThe binarization method showed significantly higher JIs than the freehand method (for interrater: 0.94-0.95 vs. 0.73-0.78, respectively,
conclusionsDefining the AF ring in RP using the binarization algorithm showed significantly higher precision and the same degree of accuracy compared with visual inspection. TRANSLATION RELEVANCE: This novel method may enable quantitative analysis of the AF ring, an indicator of retinal function in RP.
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