Image Processing

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

[+] Author Affiliations
Emily Huynh, Danuta M. Bukowska, Seyhan Yazar, Charlotte M. McKnight, David A. Mackey

University of Western Australia, Centre for Ophthalmology and Visual Science, Lions Eye Institute, 2 Verdun Street, Nedlands, Perth, Western Australia 6009, Australia

Ajmal Mian

University of Western Australia, School of Computer Science and Software Engineering, 35 Stirling Highway, Crawley, Perth, Western Australia 6009, Australia

J. Med. Imag. 3(3), 034001 (Aug 05, 2016). doi:10.1117/1.JMI.3.3.034001
History: Received February 1, 2016; Accepted July 12, 2016
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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%.

Figures in this Article
© 2016 Society of Photo-Optical Instrumentation Engineers

Topics

Eye ; Reliability

Citation

Emily Huynh ; Danuta M. Bukowska ; Seyhan Yazar ; Charlotte M. McKnight ; Ajmal Mian, et al.
"Quantification of sun-related changes in the eye in conjunctival ultraviolet autofluorescence images", J. Med. Imag. 3(3), 034001 (Aug 05, 2016). ; http://dx.doi.org/10.1117/1.JMI.3.3.034001


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