Journal article

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

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

JOURNAL OF MEDICAL IMAGING | SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS | Published : 2016

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 semiau..

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Grants

Awarded by National Health and Medical Research Council


Awarded by Australian Research Council


Funding Acknowledgements

We are grateful to the Raine study participants and thank the Raine study and the Lions Eye Institute research staff for cohort coordination and data collection. We would like to acknowledge ongoing support from Professor Minas Coroneo and his group from the University of New South Wales. The Raine study 20-year follow-up was supported by the National Health and Medical Research Council (No. 1021105) and the Ophthalmic Research Institute of Australia grants awarded to David Mackey. Ajmal Mian was supported by the Australian Research Council (No. DP110102399).