Retinal OCT Image Registration: Methods and Applications

Retinal image registration is a critical task in the diagnosis and treatment of various eye diseases. And as a relatively new imaging method, optical coherence tomography (OCT) has been widely used in the diagnosis of retinal diseases. This paper is devoted to retinal OCT image registration methods and their clinical applications. Registration methods including volumetric transformation-based registration methods and image features-based registration methods are systematically reviewed. Furthermore, to better understanding these methods, their applications in correcting scanning artifacts, reducing speckle noise, fusing and splicing images and evaluating longitudinal disease progression are studied as well. At the end of this paper, registration of retina with serious pathology and registration with deep learning technique are also discussed.

Automated summary

This paper presents retinal OCT image registration methods and their clinical applications. The paper systematically reviews registration methods based on volumetric transformation and image features. Furthermore, the applications of these methods in correcting scanning artifacts, reducing speckle noise, fusing and splicing images, and evaluating disease progression are studied. The paper also discusses the registration of retina with serious pathology and registration with deep learning technique.