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Quantification of sun-related changes in the eye in conjunctival ultraviolet autofluorescence images.
Huynh, Emily; Bukowska, Danuta M; Yazar, Seyhan; McKnight, Charlotte M; Mian, Ajmal; Mackey, David A.
Affiliation
  • Huynh E; University of Western Australia , Centre for Ophthalmology and Visual Science, Lions Eye Institute, 2 Verdun Street, Nedlands, Perth, Western Australia 6009, Australia.
  • Bukowska DM; University of Western Australia , Centre for Ophthalmology and Visual Science, Lions Eye Institute, 2 Verdun Street, Nedlands, Perth, Western Australia 6009, Australia.
  • Yazar S; University of Western Australia , Centre for Ophthalmology and Visual Science, Lions Eye Institute, 2 Verdun Street, Nedlands, Perth, Western Australia 6009, Australia.
  • McKnight CM; University of Western Australia , Centre for Ophthalmology and Visual Science, Lions Eye Institute, 2 Verdun Street, Nedlands, Perth, Western Australia 6009, Australia.
  • Mian A; University of Western Australia , School of Computer Science and Software Engineering, 35 Stirling Highway, Crawley, Perth, Western Australia 6009, Australia.
  • Mackey DA; University of Western Australia , Centre for Ophthalmology and Visual Science, Lions Eye Institute, 2 Verdun Street, Nedlands, Perth, Western Australia 6009, Australia.
J Med Imaging (Bellingham) ; 3(3): 034001, 2016 Jul.
Article in En | MEDLINE | ID: mdl-27610398
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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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Med Imaging (Bellingham) Year: 2016 Document type: Article Affiliation country:
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Med Imaging (Bellingham) Year: 2016 Document type: Article Affiliation country: