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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%.
Original language | English |
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Article number | 034001 |
Pages (from-to) | 1-7 |
Number of pages | 7 |
Journal | Journal of Medical Imaging |
Volume | 3 |
Issue number | 3 |
DOIs | |
Publication status | Published - Jul 2016 |
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Dive into the research topics of 'Quantification of sun-related changes in the eye in conjunctival ultraviolet autofluorescence images'. Together they form a unique fingerprint.Projects
- 2 Finished
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Genes for juvenile-onset myopia
Mackey, D., Pennell, C., Hewitt, A., Young, T., Hammond, C., Coroneo, M. & MacGregor, S.
National Health & Medical Research Council NHMRC
1/01/12 → 31/12/14
Project: Research
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