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

doi:10.1117/1.JMI.3.3.034001

5 August 2016 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

Author Affiliations +

Journal of Medical Imaging, Vol. 3, Issue 3, 034001 (August 2016). https://doi.org/10.1117/1.JMI.3.3.034001

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%.

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

Published: 5 August 2016

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