Retinal blood flow quantification by retinal vessel segmentation with Doppler optical coherence angiography is presented. Vessel diameter, orientation, and position are determined in an en face vessel image and two representative cross-sectional flow images of the vessel. Absolute blood flow velocity is calculated with the help of the measured Doppler frequency shift and determined vessel angle...

Retina is the portion where many important eye diseases and systemic diseases manifest. By evaluating the retinal blood vessels, doctors can diagnose the primary stages of diabetic retinopathy, age related macular degeneration, glaucoma etc which may eventually lead to blindness. The objective is to develop an algorithm that segments the retinal blood vessels in a short time and with high accur...

The exploration of retinal vessel structure is colossally important on account of numerous diseases including stroke, Diabetic Retinopathy (DR) and coronary heart diseases, which can damage the retinal vessel structure. The retinal vascular network is very hard to be extracted due to its spreading and diminishing geometry and contrast variation in an image. The proposed technique consists of un...

a multi‑parameter quantification method was implemented to quantify retinal vascular injuries in microscopic images of clinically relevant eye diseases. this method was applied to wholemount retinal trypsin digest images of diabetic akita/+, and bcl‑2 knocked out mice models. five unique features of retinal vasculature were extracted to monitor early structural changes and retinopathy, as well ...

segmentation and three‑dimensional (3d) visualization of teeth in dental computerized tomography (ct) images are of dentists’ requirements for both abnormalities diagnosis and the treatments such as dental implant and orthodontic planning. on the other hand, dental ct image segmentation is a difficult process because of the specific characteristics of the tooth’s structure. this paper presents ...

Ray Casting is a direct volume rendering technique for visualizing 3D arrays of sampled data. It has vital applications in medical and biological imaging. Nevertheless, it is inherently open to cluttered classification results. It suffers from overlapping transfer function values and lacks a sufficiently powerful voxel parsing mechanism for object distinction. In this work, we are proposing an ...

PURPOSE To determine the influence of volume averaging on retinal layer thickness measures acquired with spectral-domain optical coherence tomography (SD-OCT) in children. METHODS Macular SD-OCT images were acquired using three different volume settings (i.e., 1, 3, and 9 volumes) in children enrolled in a prospective OCT study. Total retinal thickness and five inner layers were measured arou...

we first describe how to “fuzzify” the estimated binary columns to create a [0,1]-valued column. werefer to this [0,1] -valued column as the soft segmentation column of the noisy spectrogram column.similarly to the collection of soft segmentation columns as the soft segmentation image, or simply asthe soft segmentation. the band-dependent posterior probability that the hard segmentation columnv...

In the last decade retinal diseases have become prevalently in India and it is growing alarmingly. Fortunately, most of blindness are caused are preventable if treated at appropriate time. Early detection of such retinal diseases like diabetic retinopathy, macular degeneration, retinal detachment and glaucoma is very vital. Optical coherence tomography (OCT) is an In vivo imaging technique for ...

Retina imaging technology is an effective control method for early diagnosis and early treatment of the diabetic retinopathy. In this paper, a fast robust inverse diffusion equation combining a blockwise filtering is presented to detect and evaluate diabetic retinopathy using retinal image enhancement. A flux corrected transport technique is used to control diffusion flux adaptively, which elim...