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Sarah A. Barman, Emma J. Hollick, James F. Boyce, David J. Spalton, Bunyarit Uyyanonvara, Giorgia Sanguinetti, William Meacock; Quantification of Posterior Capsular Opacification in Digital Images after Cataract Surgery. Invest. Ophthalmol. Vis. Sci. 2000;41(12):3882-3892.
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© 2017 Association for Research in Vision and Ophthalmology.
purpose. To describe a software program developed to provide an objective
assessment of the amount of posterior capsular opacification (PCO) in
high-resolution digital images of the posterior capsule after cataract
methods. Images are analyzed by a set protocol of defining the area of the
posterior capsule, removing the Purkinje light reflexes by intensity
segmentation, contrast enhancement, filtering to enhance low-density
PCO, and variance analysis using a co-occurrence matrix to assess
texture. The accuracy of the system was tested for validity and
results. The software developed has been demonstrated to be an objective method
of quantifying PCO. In validation tests, the image analysis–derived
measure of PCO showed good agreement with clinically derived measures
of PCO. Clinicians assessed PCO on a computer screen image and also
under slit lamp examination (Pearson correlation coefficient for both
methods >0.92). The entire acquisition and analysis system was
demonstrated to have a confidence limit for 2 SDs of 9.8% for group
conclusions. This system is capable of producing an accurate and reproducible
measure of PCO that is relevant to assessing techniques of PCO
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