5 August 2016 Quantification of sun-related changes in the eye in conjunctival ultraviolet autofluorescence images
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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%.
© 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)
Emily Huynh, Danuta M. Bukowska, Seyhan Yazar, Charlotte M. McKnight, Ajmal Mian, David A. Mackey, "Quantification of sun-related changes in the eye in conjunctival ultraviolet autofluorescence images," Journal of Medical Imaging 3(3), 034001 (5 August 2016). https://doi.org/10.1117/1.JMI.3.3.034001 . Submission:
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