PubMed · 11240478
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L Vélasque. 2001. [Open disk drusen].. https://pubmed.ncbi.nlm.nih.gov/11240478/
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Segmentation of bright blobs in an image is an important problem in computer vision and particularly in biomedical imaging. In retinal angiography, segmentation of drusen, a yellowish deposit located on the retina, is a serious challenge in proper diagnosis and prevention of further complications. Drusen extraction using classic segmentation methods does not lead to good results. We present a new segmentation method based on new transformations we introduced in mathematical morphology. It is based on the search for a new class of regional maxima components of the image. These maxima correspond to the regions inside the drusen. We present experimental results for drusen extraction using images containing examples having different types and shapes of drusen. We also apply our segmentation technique to two important cases of dynamic sequences of drusen images. The first case is for tracking the average gray level of a particular drusen in a sequence of angiographic images during a fluorescein exam. The second case is for registration and matching of two angiographic images from widely spaced exams in order to characterize the evolution of drusen.
The author investigated a group of 80 eyes of 40 myopic patients, 20 of whom are treated on account of glaucoma (17 cases of primary open angle glaucoma and 3 cases of pigmentary glaucoma), another 5 patients were on the records with suspected glaucoma and in 15 glaucoma was not detected. The work is focused on possible differentiation of typically myopic papillary changes and the papilla of myopic eyes altered by glaucoma.