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 |
|---|---|
| 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 |