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
相关论文
共 50 条
  • [31] Retinal image registration for NIH's ETDRS
    Chanwimaluang, T
    Fan, GL
    ADVANCES IN VISUAL COMPUTING, PROCEEDINGS, 2005, 3804 : 51 - 59
  • [32] Retinal Image Registration Using Geometrical Features
    Sara Gharabaghi
    Sabalan Daneshvar
    Mohammad Hossein Sedaaghi
    Journal of Digital Imaging, 2013, 26 : 248 - 258
  • [33] The Edge Detectors Suitable for Retinal OCT Image Segmentation
    Luo, Su
    Yang, Jing
    Gao, Qian
    Zhou, Sheng
    Zhan, Chang'an A.
    JOURNAL OF HEALTHCARE ENGINEERING, 2017, 2017
  • [34] Image Extraction and Advanced Visualization of Oct Retinal Images
    Madow, B.
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2010, 51 (13)
  • [35] A review of cardiac image registration methods
    Mäkelä, T
    Clarysse, P
    Sipilä, O
    Pauna, N
    Pham, QC
    Katila, T
    Magnin, IE
    IEEE TRANSACTIONS ON MEDICAL IMAGING, 2002, 21 (09) : 1011 - 1021
  • [36] Fourier methods for nonparametric image registration
    Cahill, Nathan D.
    Noble, J. Alison
    Hawkes, David J.
    2007 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-8, 2007, : 3241 - +
  • [37] Wavelet methods for medical image registration
    Lawton, W
    PROCEEDINGS OF THE SECOND ASIAN MATHEMATICAL CONFERENCE 1995, 1998, : 351 - 354
  • [38] IMAGE REGISTRATION BY LOCAL APPROXIMATION METHODS
    GOSHTASBY, A
    IMAGE AND VISION COMPUTING, 1988, 6 (04) : 255 - 261
  • [39] A critical review of image registration methods
    Xiong, Zhen
    Zhang, Yun
    INTERNATIONAL JOURNAL OF IMAGE AND DATA FUSION, 2010, 1 (02) : 137 - 158
  • [40] Automated inter-device 3D OCT image registration using deep learning and retinal layer segmentation
    Rivas-Villar, David
    Motschi, Alice R.
    Pircher, Michael
    Hitzenberger, Christoph K.
    Schranz, Markus
    Roberts, Philipp K.
    Schmidt-Erfurth, Ursula
    Bogunovic, Hrvoje
    BIOMEDICAL OPTICS EXPRESS, 2023, 14 (07) : 3726 - 3747