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Primary open angle glaucoma (POAG) is a progressive optic neuropathy characterized by retinal ganglion cell loss. Experimental primate glaucoma indicates neuronal degeneration of the lateral geniculate nucleus (LGN) and activity changes in the visual cortex (V1). Neuronal degeneration has also been shown in a post-mortem human study of the optic nerve, LGN(More)
PURPOSE To assess whether baseline Glaucoma Probability Score (GPS; HRT-3; Heidelberg Engineering, Dossenheim, Germany) results are predictive of progression in patients with suspected glaucoma. The GPS is a new feature of the confocal scanning laser ophthalmoscope that generates an operator-independent, three-dimensional model of the optic nerve head and(More)
PURPOSE To compare the effect of disc size and disease severity on the Heidelberg Retina Tomograph (HRT) Glaucoma Probability Score (GPS) and the Moorfields Regression Analysis (MRA) for discriminating between glaucomatous and healthy eyes. METHODS Ninety-nine eyes with repeatable standard automated perimetry results showing glaucomatous damage and 62(More)
PURPOSE To evaluate choroidal thickness (CT) in healthy and glaucomatous eyes using Swept Source Optical Coherence Tomography (SS-OCT). METHODS A cross-sectional observational study of 216 eyes of 140 subjects with glaucoma and 106 eyes of 67 healthy subjects enrolled in the Diagnostic Innovations in Glaucoma Study. CT was assessed from wide-field (12×9(More)
PURPOSE To compare the abilities of scanning laser polarimetry (SLP), optical coherence tomography (OCT), short-wavelength automated perimetry (SWAP), and frequency-doubling technology (FDT) perimetry to discriminate between healthy eyes and those with early glaucoma, classified based on standard automated perimetry (SAP) and optic disc appearance. To(More)
PURPOSE To determine which machine learning classifier learns best to interpret standard automated perimetry (SAP) and to compare the best of the machine classifiers with the global indices of STATPAC 2 and with experts in glaucoma. METHODS Multilayer perceptrons (MLP), support vector machines (SVM), mixture of Gaussian (MoG), and mixture of generalized(More)
PURPOSE To determine whether neural network techniques can improve differentiation between glaucomatous and nonglaucomatous eyes, using the optic disc topography parameters of the Heidelberg Retina Tomograph (HRT; Heidelberg Engineering, Heidelberg, Germany). METHODS With the HRT, one eye was imaged from each of 108 patients with glaucoma (defined as(More)
PURPOSE To demonstrate that the relationship between the functional organization of primary visual cortex (V1) and damage to the optic disc in humans with primary open-angle glaucoma (POAG) can be measured using a novel method for projecting scotomas onto the flattened cortical representation. METHODS Six subjects participated in this functional magnetic(More)
We introduce a method to determine the retinal nerve fiber layer (RNFL) thickness in OCT images based on anisotropic noise suppression and deformable splines. Spectral-Domain Optical Coherence Tomography (SDOCT) data was acquired at 29 kHz A-line rate with a depth resolution of 2.6 μm and a depth range of 1.6 mm. Areas of 9.6x6.4 mm 2 and 6.4x6.4 mm 2 were(More)
PURPOSE To determine the relationship between areas of glaucomatous retinal nerve fiber layer thinning identified by optical coherence tomography and areas of decreased visual field sensitivity identified by standard automated perimetry in glaucomatous eyes. DESIGN Retrospective observational case series. PARTICIPANTS Forty-three patients with(More)