Quantitative analysis of retroillumination images.
We have developed a semi-automated image processing system for analysis and evaluation of retroillumination images. This paper describes methods used to compensate for illumination variations in the images, separation of data into cataractous and non-cataractous portions, how quantitative measurements are made and how they assess the pathological condition. In addition to the traditional area measurement, this system computes the net integral of density and several measurements involving the location of the opacity in relation to the pupillary margin. The computer measures of area, integral of density, area centrality, weighted area, density centrality and weighted density provide more data than previously described systems. Data produced by this interactive and automated system can be used in studies of posterior subcapsular and cortical cataracts, and to study the effect of these opacities on vision.
Vivino
M A
MA
Computational Bioscience and Engineering Laboratory, National Eye Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Mahurkar
A
A
Trus
B
B
Lopez
M L
ML
Datiles
M
M
D002386:Cataract / Q000175:diagnosis* / Q000473:pathology; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D007908:Lens, Crystalline / Q000473:pathology; D008029:Lighting; D008954:Models, Biological; D014584:User-Computer Interface