REVAMMAD

Retinal image preprocessing, enhancement, and registration

Preprocessing and enhancement is a prerequisite for a wide range of retinal image analysis methods. The goals of such tasks are to improve images and facilitate their subsequent analysis. Registration of retinal images enables the generation of …

An experimental evaluation of the accuracy of keypoints-based retinal image registration

This work regards an investigation of the accuracy of a state-of-the-art, keypoint-based retinal image registration approach, as to the type of keypoint features used to guide the registration process. The employed registration approach is a local …

FIRE: Fundus Image Registration dataset

Purpose: Retinal image registration is a useful tool for medical professionals. However, performance evaluation of registration methods has not been consistently assessed in the literature. To address that, a dataset comprised of retinal image pairs …

Retinal Image Registration through 3D Eye Modelling and Pose Estimation

The in vivo assessment of small vessels can promote accurate diagnosis and progression monitoring of diseases related to vasculopathy, such as hypertension anddiabetes. Given that the human eye retina contains small vessels that can be directly …

Retinal image registration under the assumption of a spherical eye

We propose a method for registering a pair of retinal images. The proposed approach employs point correspondences and assumes that the human eye has a spherical shape. The image registration problem is formulated as a 3D pose estimation problem, …

Retinal image registration through simultaneous camera pose and eye shape estimation

In this paper, a retinal image registration method is proposed. The approach utilizes keypoint correspondences and assumes that the human eye has a spherical or ellipsoidal shape. The image registration problem amounts to solving a camera 3D pose …

In vivo analysis of the time and spatial activation pattern of microglia in the retina following laser-induced choroidal neovascularization

Microglia play a major role in retinal neovascularization and degeneration and are thus potential targets for therapeutic intervention. *In vivo* assessment of microglia behavior in disease models can provide important information to understand …

Retinal image registration based on keypoint correspondences, spherical eye modeling and camera pose estimation

In this work, an image registration method for two retinal images is proposed. The proposed method utilizes keypoint correspondences and assumes a spherical model of the eye. Image registration is treated as a pose estimation problem, which requires …

Image Processing Allows Reliable In Vivo Detection and Quantification of Retinal Microglia Following Laser-Induced Choroidal Neovascularization

Purpose: Macrophage and microglia cells have proved to have an important role in pathological neovascularization conditions such as...

Super resolution for fundoscopy based on 3D image registration

An approach to the generation of super-resolution (SR) images from fundoscopy images is proposed that is based on the 3D registration of the original fundoscopy images. The proposed approach utilizes a simple 3D registration method to enable the …