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A new model of fundus autofluorescence time evolution in multiple evanescent white dot syndrome
Author(s) -
SojkaLeszczyńska P.,
Leszczyński B.,
KubickaTrząska A.,
RomanowskaDixon B.
Publication year - 2017
Publication title -
acta ophthalmologica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.534
H-Index - 87
eISSN - 1755-3768
pISSN - 1755-375X
DOI - 10.1111/j.1755-3768.2017.0t090
Subject(s) - autofluorescence , fundus (uterus) , ophthalmology , image processing , medicine , computer science , artificial intelligence , computer vision , optics , fluorescence , image (mathematics) , physics
Purpose Fundus Autofluorescence proved to be a valuable non‐invasive tool for Multiple Evanescent White Dot Syndrome evaluation. Until now several models describing time evolution of the Fundus Autofluorescence in MEWDS have been proposed. The aim of our study is to present a new model of the Fundus Autofluorescence evaluation based on four examinations in a 56‐year‐old patient during a 3 months follow‐up period. Methods Fundus Autofluorescence images were captured by HRA Spectralis Heidelberg Engineering Imaging System. The ImageJ image analysis software was used for image denoising by median filtering. We have applied Otsu's multilevel tresholding method for image segmentation to distinguish and differentiate autofluorescent areas from normal fundus. Results We have observed two levels of fluorescence intensity in the analyzed images. Bright fluorescence areas changed significantly with recovery time. Overall fluorescence areas changed to a lesser extent ‐ the areas were shrinking centripetally with functional improvement. Conclusions Combination of Fundus Autofluorescence with image analysis methods brings us quantitative data, facilitating the trend analysis.