We present a case of meningitis with bilateral endogenous bacterial panophthalmitis in a previously healthy individual. The management of this ocular condition is unclear, and the prognosis is poor. The patient was admitted to the Clinic of Eye Diseases after a 9-day treatment with systemic antibiotics with a complete systemic recovery but impaired vision of both eyes. Functional vision was restored in the better eye with intravitreal vancomycin and pars plana vitrectomy. Nevertheless, after the removal of silicone oil, phthisis bulbi began to develop. Better outcomes could be expected if bacteremic patients were examined routinely by an ophthalmologist and, in case of endogenous bacterial endophthalmitis, treated with intravitreal antibiotics.

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Abstract. Changes in eye fundus images can be associated with numerous vision threatening diseases such as glaucoma, optic neuropathy, swelling of the optic nerve head, or related to some systemic disease. Tracking the progress of a possible disease of the patient becomes very difficult from separated retinal images. In this article we present a method which registers two retinal images so that the fundus images overlaps each other in the best way. As a separate case, this article shows that in order to solve the optic nerve disc registration problem a linear transformation of retinal image is sufficient. A human identification possibility via retinal image registration will be disclosed as well.

In 2003, a health IT programme for clinical decision support started in Lithuania. An initial goal was to create databases for ophthalmology images and to develop processing algorithms to extract diagnostically valuable information from images. We have investigated how vectors, consisting of the parameters derived from fundus images, are distributed and whether they form specific groups. When analysing the multidimensional patient data vectors, comprising all the 27 image parameters, it was impossible to separate the healthy eyes from the diseased ones. However, it was possible to simplify the system by eliminating redundant parameters and introducing new ones that represent a subset of parameters from the initial group. Thus it may prove possible to identify glaucoma using this system of parameters.