Retinal OCT Image Registration: Methods and Applications

被引:15
|
作者
Pan, Lingjiao [1 ]
Chen, Xinjian [2 ]
机构
[1] Jiangsu Univ Technol, Sch Elect & Informat Engn, Changzhou 215000, Peoples R China
[2] Soochow Univ, Sch Elect & Informat Engn, Suzhou 215000, Peoples R China
基金
中国国家自然科学基金;
关键词
Retina; Image registration; Imaging; Mutual information; Three-dimensional displays; Speckle; Feature extraction; medical image registration; optical coherence tomography; retina; deep learning; OPTICAL COHERENCE TOMOGRAPHY; SPECKLE NOISE-REDUCTION; MOTION CORRECTION; SD-OCT; FUNDUS; SEGMENTATION; ANGIOGRAPHY; FIELD; NEOVASCULARIZATION; DESCRIPTOR;
D O I
10.1109/RBME.2021.3110958
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
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.
引用
收藏
页码:307 / 318
页数:12
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