Quantification of sun-related changes in the eye in conjunctival ultraviolet autofluorescence images

Emily Huynh, Danuta M. Bukowska, Seyhan Yazar, Charlotte McKnight, Ajmal Mian, David Mackey

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Abstract

Quantification of sun-related changes in conjunctival ultraviolet autofluorescence (CUVAF) images is a subjective and tedious task, in which reproducibility of results is difficult. Thus, we have developed a semiautomatic method in MATLAB(®) to analyze CUVAF images retrospectively. The algorithm was validated on 200 images from 50 randomly selected participants from the Western Australian Pregnancy Cohort (Raine) study 20-year follow-up assessment, in which CUVAF area measurements were available from previous manual analysis. Algorithm performance was compared to manual measurements and yielded better than 95% correspondence in both intra- and interobserver agreement. Furthermore, the semiautomatic method significantly reduced analysis time by 50%.

Original languageEnglish
Article number034001
Pages (from-to)1-7
Number of pages7
JournalJournal of Medical Imaging
Volume3
Issue number3
DOIs
Publication statusPublished - Jul 2016

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