Detection of vascular bifurcations is a challenging task in multimodal retinal image
registration. Existing algorithms based on bifurcations usually fail in correctly aligning poor …

Motivated by the problem of retinal image registration, this paper introduces and analyzes a
new registration algorithm called Dual-Bootstrap Iterative Closest Point (Dual-Bootstrap …

Motivated by the goals of improving detection of low-contrast and narrow vessels and
eliminating false detections at nonvascular structures, a new technique is presented for …

This work studies retinal image registration in the context of the National Institutes of Health
(NIH) Early Treatment Diabetic Retinopathy Study (ETDRS) standard. The ETDRS imaging …

Background: The vascular tree observed in a retinal fundus image can provide clues for
cardiovascular diseases. Its analysis requires the identification of vessel bifurcations and …

Motivated by the need for multimodal image registration in ophthalmology, this paper
introduces an algorithm which is tailored to jointly align in a common reference space all the …

A model-based algorithm, termed exclusion region and position refinement (ERPR), is
presented for improving the accuracy and repeatability of estimating the locations where …

This paper presents a vascular representation and segmentation algorithm based on a
multiresolution Hermite model (MHM). A two-dimensional Hermite function intensity model is …

This paper presents a set of algorithms for robust detection of vasculature in noisy retinal
video images. Three methods are studied for effective handling of outliers. The first method …

This paper deals with registration of retinal images, which were taken by high-resolution
digital colour fundus cameras. The proposed method describes successful application of …