The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In the system of spectral domain optical coherence tomography(SD-OCT), the location accuracy of scanning mechanism, mechanical dither and unconscious movement of human eyes can lead to the dither of cross-sectional scanning signal (B-scans) and affect the imaging quality of eyes. In this paper, we firstly make space transformation and filtering towards to the original retina images. Secondly, we find...
Optical coherence tomography (OCT) of the macular cube has become an increasingly important tool for investigating and managing retinal pathology. One important new area of investigation is the analysis of anatomic variably across a population. Such an analysis on the retina requires the construction of a normalized space, which is generally created through deformable registration of each subject...
Optical coherence tomography (OCT) is becoming one of the most important imaging modalities in ophthalmology due to its noninvasiveness and resolution. Besides allowing the visualization the human retina structure in detail, it was recently proposed that OCT embeds functional information. Specifically, it was proposed that blood-retinal barrier status information is present within OCT data acquired...
Imaging the ocular fundus, namely the retina, to detect and/or monitor changes over time from the healthy condition is of fundamental importance to assess onset and disease progression and is a valuable tool to understand the basic mechanisms of ocular diseases. Current trends point to the need for less or non-invasive approaches, to the need for detailed (higher spatial and temporal resolution) imaging...
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...
Optical Coherence Tomography (OCT) is a recently developed, non-invasive, biomedical imaging modality. It is progressively gaining popularity in ophthalmologic diagnostics. Compared to any other imaging modality, OCT enables clinicians to obtain retinal images with much higher resolution. This paper discusses the basic functioning principle of OCT and various advancements that it has gone through...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.