Quantification of sun-related changes in the eye in conjunctival ultraviolet autofluorescence images.
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%.
University of Western Australia , Centre for Ophthalmology and Visual Science, Lions Eye Institute, 2 Verdun Street, Nedlands, Perth, Western Australia 6009, Australia.
Emily
E
Huynh
University of Western Australia , Centre for Ophthalmology and Visual Science, Lions Eye Institute, 2 Verdun Street, Nedlands, Perth, Western Australia 6009, Australia.
Danuta M
DM
Bukowska
University of Western Australia , Centre for Ophthalmology and Visual Science, Lions Eye Institute, 2 Verdun Street, Nedlands, Perth, Western Australia 6009, Australia.
Seyhan
S
Yazar
University of Western Australia , Centre for Ophthalmology and Visual Science, Lions Eye Institute, 2 Verdun Street, Nedlands, Perth, Western Australia 6009, Australia.
Charlotte M
CM
McKnight
University of Western Australia , School of Computer Science and Software Engineering, 35 Stirling Highway, Crawley, Perth, Western Australia 6009, Australia.
Ajmal
A
Mian
University of Western Australia , Centre for Ophthalmology and Visual Science, Lions Eye Institute, 2 Verdun Street, Nedlands, Perth, Western Australia 6009, Australia.
David A
DA
Mackey
image processing; ophthalmohelioses; photography; sunlight