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In this paper, a computer approach is proposed for recognition of retina layers on optical coherence tomography (OCT) images. OCT uses the optical backscattering of light to scan the eye and describe a pixel representation of the anatomic layers within the retina. Our approach is based on co-occurrence matrix for feature extraction and a neural network for classifying, which four features of this...
In this paper, a computer approach is proposed for recognition of retina layers on optical coherence tomography (OCT) images. OCT uses the optical backscattering of light to scan the eye and describe a pixel representation of the anatomic layers within the retina. Our approach is based on co-occurrence matrix for feature extraction and a supervised learning method for classification, which four features...
Glaucoma is a disease characterized by elevated intraocular pressure (IOP). This increased IOP leads to damage of optic nerve axons at the back of the eye, with eventual deterioration of vision. CDR is a key indicator for the detection of glaucoma. The existing approaches determined the CDR using manual threshold analysis which is fairly time consuming. This paper proposes two methods to extract the...
The shape deformation within the optic disk (OD) is an important indicator for the detection of glaucoma. In this paper, relevant disk parameters are estimated using the OD and cup boundaries. A deformable model guided by regional statistics is used to detect the OD boundary. A cup boundary detection scheme is presented based on the appearance of pallor in Lab colour space and the expected cup symmetry...
The cornea is the window of the eye and when it is severely damaged or diseased, vision is impaired. Descemet's Stripping Automated Endothelial Keratoplasty (DSAEK) is a surgical procedure to replace the malfunctioned Descemet's membrane with a healthy one in order to restore the patient's sight. After the operation, ophthalmologists need to monitor the grafted membrane to check for signs of detachment,...
Various morphological and functional techniques for retina examination have been established in the recent years. Although many examination results are spatially resolved and can be mapped onto data originating from other modalities, usually only data from one modality is analyzed by a clinician at a time. This is mainly because there is no software available to the public that enables the registration...
Optical coherence tomography (OCT) as a new imaging technology is gaining popularity in the diagnosis of ocular diseases. It enable clinicians to perform accurate, objective, and reproducible measurements of the retinal nerve fibre layer (RNFL) whose thickness is closely related to many ocular diseases. Automatic segmenting RNFL is a challenging image processing problem, which is a critical job for...
Accurate corneal layer boundary extraction from optical coherence tomograms can provide precise layer thickness measurements required in the analysis of corneal disease. This paper establishes a novel approach to precisely obtain the five primary corneal layer boundaries. The proposed method determines correspondence relationships between the layer boundaries to facilitate robust boundary extraction...
The lecture will summarise results of the long-term project concerning processing and analysis of multimodal retinal image data. The project is run at the Dept. of BME, FEEC, Brno University of Technology in frame of the DAR research centre coordinated by the Inst. of Information Theory and Automation, Cz.Ac.Sci. Prague, in cooperation with the Clinic of Ophthalmology, University Erlangen (D) and...
A novel algorithm is reported for automatically segmenting optical coherence tomography (OCT) images to identify six layers within the retina. The boundary detection technique presented here is based on a 2-D edge detection scheme, in which a filter with wedge-shaped pass band is introduced. The proposed filter enhances edges along the vertical boundaries while suppressing speckle noise. The detected...
In this paper, we present a new approach for contour detection in the frame of OCT images of the cornea. With the aim of detecting upper and lower curves that define the cornea in radial slices, we have elaborated a three step specific method. The first step consists in finding epithelium and endothelium points (we call them anchor points). Then the image is preprocessed to enhance the contrast and...
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