Retinal image registration under the assumption of a spherical eye. (January 2017)

• Record Type: Journal Article
• Authors: Hernandez-Matas, Carlos; Zabulis, Xenophon; Triantafyllou, Areti; Anyfanti, Panagiota; Argyros, Antonis A.
• Is Part Of: Computerized medical imaging and graphics. Volume 55(2017)
• Page Start: 95
• Page End: 105
• Publication Date: 2017-01
• Subjects: Retinal image registration -- Medical imaging -- Particle Swarm Optimization -- Pose estimation; Diagnostic imaging -- Periodicals; Imaging systems in medicine -- Periodicals; Diagnosis, Radioscopic -- Data processing -- Periodicals; Diagnostic Imaging -- Periodicals; Imagerie pour le diagnostic -- Périodiques; Diagnostic imaging; Periodicals; Electronic journals; Electronic journals; 616.0754
• DOI: 10.1016/j.compmedimag.2016.06.006
• Languages: English
• ISSNs: 0895-6111

Abstract

Abstract: 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, solved by estimating the rigid transformation that relates the views from which the two images were acquired. Given this estimate, each image can be warped upon the other so that pixels with the same coordinates image the same retinal point. Extensive experimental evaluation shows improved accuracy over state of the art methods, as well as robustness to noise and spurious keypoint matches. Experiments also indicate the method's applicability to the comparative analysis of images from different examinations that may exhibit changes and its applicability to diagnostic support.