Review on Retrospective Procedures to Correct Retinal Motion Artefacts in OCT Imaging
Source abstract
Abstract
Motion artefacts from involuntary changes in eye fixation remain a major imaging issue in optical coherence tomography (OCT). This paper reviews the state-of-the-art of retrospective procedures to correct retinal motion and axial eye motion artefacts in OCT imaging. Following an overview of motion induced artefacts and correction strategies, a chronological survey of retrospective approaches since the introduction of OCT until the current days is presented. Pre-processing, registration, and validation techniques are described. The review finishes by discussing the limitations of the current techniques and the challenges to be tackled in future developments.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Optical Coherence Tomography Applications · Retinal and Macular Surgery · Retinal Imaging and Analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Radiology and Nuclear Medicine, Biomedical Imaging Group Rotterdam, Erasmus MC, 3015GD Rotterdam, The Netherlands
Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, 1090 Vienna, Austria
Funding
Horizon 2020
References (100+)
Show source-provided references
1. Optical coherence tomography10.1126/science.1957169 ↗
2. Optical coherence tomography in Optics Express10.1364/OE.26.024240 ↗
3. Optical coherence tomography for ultrahigh resolution in vivo imaging10.1038/nbt892 ↗
4. Drexler, W., and Fujimoto, J. (2015). Optical Coherence Tomography: Technology and Applications, Springer International Publishing.10.1007/978-3-319-06419-2 ↗
5. State-of-the-art retinal optical coherence tomography10.1016/j.preteyeres.2007.07.005 ↗
6. The ecosystem that powered the translation of OCT from fundamental research to clinical and commercial impact10.1364/BOE.8.001638 ↗
7. Multi-megahertz OCT: High quality 3D imaging at 20 million A-scans and 4.5 GVoxels per second10.1364/OE.18.014685 ↗
8. Ultrahigh speed 1050 nm Swept Source Fourier Domain OCT retinal and anterior segment imaging at 100,000 to 400,000 axial scans per second10.1364/OE.18.020029 ↗
9. Ultrahigh speed spectral/Fourier domain OCT ophthalmic imaging at 70,000 to 312,500 axial scans per second10.1364/OE.16.015149 ↗
10. Optical coherence tomography—Current technology and applications in clinical and biomedical research10.1007/s00216-011-5008-1 ↗
11. Extraction of ultra-high frequency retinal motions with a line scanning quasi-confocal ophthalmoscope10.1088/2040-8978/17/1/015301 ↗
12. The role of fixational eye movements in visual perception10.1038/nrn1348 ↗
13. Image artifacts in optical coherence angiography10.1097/IAE.0000000000000765 ↗
14. Simultaneous SLO/OCT imaging of the human retina with axial eye motion correction10.1364/OE.15.016922 ↗
15. State-of-the-art in retinal optical coherence tomography image analysis
16. Involuntary eye motion correction in retinal optical coherence tomography: Hardware or software solution?10.1016/j.media.2017.02.002 ↗
17. Correction of geometric and refractive image distortions in optical coherence tomography applying Fermat’s principle10.1364/OE.10.000397 ↗
18. Correction of distortions in optical coherence tomography imaging of the eye10.1088/0031-9155/49/7/015 ↗
19. Zawadzki, R.J., Fuller, A.R., Choi, S.S., Wiley, D.F., Hamann, B., and Werner, J.S. (2007, January 20–25). Correction of motion artifacts and scanning beam distortions in 3D ophthalmic optical coherence tomography imaging. Proceedings of the Ophthalmic Technologies XVII, San Jose, CA, USA.10.1117/12.701524 ↗
20. Simplifying numerical ray tracing for two-dimensional non circularly symmetric models of the human eye10.1364/AO.54.010123 ↗
21. Alignment of 3D optical coherence tomography scans to correct eye movement using a particle filtering10.1109/TMI.2011.2182618 ↗
22. Compact akinetic swept source optical coherence tomography angiography at 1060 nm supporting a wide field of view and adaptive optics imaging modes of the posterior eye10.1364/BOE.9.001871 ↗
23. Fixational eye movements in normal and pathological vision10.1016/S0079-6123(06)54008-7 ↗
24. The origin of ocular microtremor in man10.1007/s002210050764 ↗
25. Review of adaptive optics OCT (AO-OCT): Principles and applications for retinal imaging10.1364/BOE.8.002536 ↗
26. A review of adaptive optics optical coherence tomography: Technical advances, scientific applications, and the future10.1167/iovs.16-19103 ↗
27. Yarbus, A.L. (1967). Eye movements during perception of complex objects. Eye Movements and Vision, Springer.10.1007/978-1-4899-5379-7 ↗
28. Fixation of normal and amblyopic eyes10.1001/archopht.1983.01040010216006 ↗
29. Binocular micromovements in normal persons10.1007/BF02150640 ↗
30. Motions of the retinal image during fixation10.1364/JOSA.44.000315 ↗
31. Binocular quantification and characterization of microsaccades10.1007/s00417-002-0519-2 ↗
32. Structure of cone photoreceptors10.1016/j.preteyeres.2009.05.003 ↗
33. New applications of super-resolution in medical imaging
34. Heartbeat-induced axial motion artifacts in optical coherence tomography measurements of the retina10.1167/iovs.10-6738 ↗
35. Spectral-domain optical coherence tomography: A comparison of modern high-resolution retinal imaging systems10.1016/j.ajo.2009.08.037 ↗
36. Brautaset, R., Birkeldh, U., Alstig, P.F., Wikén, P., and Nilsson, M. (2016). Repeatability using automatic tracing with Canon OCT-HS100 and Zeiss Cirrus HD-OCT 5000. PLoS ONE, 11.10.1371/journal.pone.0149138 ↗
37. Aligning scan locations from consecutive spectral-domain optical coherence tomography examinations: A comparison among different strategies10.1167/iovs.12-10047 ↗
38. Tracking optical coherence tomography10.1364/OL.29.002139 ↗
39. Active retinal tracker for clinical optical coherence tomography systems10.1117/1.1896967 ↗
40. Real-time eye motion compensation for OCT imaging with tracking SLO10.1364/BOE.3.002950 ↗
41. Motion artifact and speckle noise reduction in polarization sensitive optical coherence tomography by retinal tracking10.1364/BOE.5.000106 ↗
42. Hajnal, J.V., and Hill, D.L. (2001). Medical Image Registration, CRC Press.10.1201/9781420042474 ↗
43. Elastix: A toolbox for intensity-based medical image registration10.1109/TMI.2009.2035616 ↗
44. Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain10.1016/j.media.2007.06.004 ↗
45. Multimodality image registration by maximization of mutual information10.1109/42.563664 ↗
46. Nonrigid registration of dynamic medical imaging data using nD+t B-splines and a groupwise optimization approach10.1016/j.media.2010.10.003 ↗
47. Feature-based registration of retinal images10.1109/TMI.1987.4307837 ↗
48. Retinal motion estimation in adaptive optics scanning laser ophthalmoscopy10.1364/OPEX.14.000487 ↗
49. Wu, J., Gerendas, B.S., Waldstein, S.M., Langs, G., Simader, C., and Schmidt-Erfurth, U. (2014, January 14). Stable registration of pathological 3D-OCT scans using retinal vessels. Proceedings of the Ophthalmic Medical Image Analysis First International Workshop, Boston, MA, USA.10.17077/omia.1002 ↗
50. Cheng, J., Lee, J.A., Xu, G., Quan, Y., Ong, E.P., Wong, K., and Wing, D. (2016, January 17–21). Motion Correction in Optical Coherence Tomography for Multi-modality Retinal Image Registration. Proceedings of the Ophthalmic Medical Image Analysis Third International Workshop, Athens, Greece.10.17077/omia.1048 ↗
51. Adaptive-weighted bilateral filtering and other pre-processing techniques for optical coherence tomography10.1016/j.compmedimag.2014.06.012 ↗
52. Measures of the amount of ecologic association between species10.2307/1932409 ↗
53. In vivo retinal imaging by optical coherence tomography10.1364/OL.18.001864 ↗
54. Reproducibility of nerve fiber layer thickness measurements using optical coherence tomography10.1016/S0161-6420(96)30410-7 ↗
55. Macular segmentation with optical coherence tomography10.1167/iovs.04-0335 ↗
56. Enhancing the signal-to-noise ratio in ophthalmic optical coherence tomography by image registration—Method and clinical examples10.1117/1.2772879 ↗
57. Segmentation of three-dimensional retinal image data10.1109/TVCG.2007.70590 ↗
58. Drusen ultrastructure imaging with spectral domain optical coherence tomography in age-related macular degeneration10.1016/j.ophtha.2008.04.041 ↗
59. Ricco, S., Chen, M., Ishikawa, H., Wollstein, G., and Schuman, J. (2009, January 20–24). Correcting motion artifacts in retinal spectral domain optical coherence tomography via image registration. Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention, London, UK.10.1007/978-3-642-04268-3_13 ↗
60. Niemeijer, M., Garvin, M.K., Lee, K., van Ginneken, B., Abràmoff, M.D., and Sonka, M. (2009, January 7–12). Registration of 3D spectral OCT volumes using 3D SIFT feature point matching. Proceedings of the Medical Imaging 2009: Image Processing, Lake Buena Vista, FL, USA.10.1117/12.811906 ↗
61. Automated 3D intraretinal layer segmentation of macular spectral-domain optical coherence tomography images10.1109/TMI.2009.2016958 ↗
62. Shape context algorithm applied to correct eye movement artifacts on three-dimensional (3D) spectral domain optical coherence tomography (SD-OCT)
63. An in-painting method for combining multiple SD-OCT scans with applications to Z-motion recovery, noise reduction and longitudinal studies
64. Kolar, R., and Tasevsky, P. (2010). Registration of 3D retinal optical coherence tomography data and 2D fundus images. International Workshop on Biomedical Image Registration, Springer.10.1007/978-3-642-14366-3_7 ↗
65. Optic nerve head registration via hemispherical surface and volume registration10.1109/TBME.2010.2060337 ↗
66. Xu, J., Ishikawa, H., Wollstein, G., and Schuman, J.S. (September, January 31). 3D OCT eye movement correction based on particle filtering. Proceedings of the 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Buenos Aires, Argentina.
67. Automated 3D method for the correction of axial artifacts in spectral-domain optical coherence tomography images10.1364/BOE.2.002403 ↗
68. Segmentation-based registration of retinal optical coherence tomography images with pathology
69. Automatic montage of SD-OCT data sets10.1364/OE.19.026239 ↗
70. Niemeijer, M., Lee, K., Garvin, M.K., Abràmoff, M.D., and Sonka, M. (2012, January 4–9). Registration of 3D spectral OCT volumes combining ICP with a graph-based approach. Proceedings of the Medical Imaging 2012: Image Processing, San Diego, CA, USA.10.1117/12.911104 ↗
71. Motion correction in optical coherence tomography volumes on a per A-scan basis using orthogonal scan patterns10.1364/BOE.3.001182 ↗
72. He, H., Liu, G., Mo, P., Li, B., Wu, J., and Ding, X. (2013, January 16–18). Correction of motion artifact in 3d retinal optical coherence tomography imaging. Proceedings of the 2013 6th International Congress on Image and Signal Processing (CISP), Hangzhou, China.10.1109/CISP.2013.6743999 ↗
73. Chen, M., Lang, A., Sotirchos, E., Ying, H.S., Calabresi, P.A., Prince, J.L., and Carass, A. (2013, January 7–11). Deformable registration of macular OCT using A-mode scan similarity. Proceedings of the 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI), San Francisco, CA, USA.10.1109/ISBI.2013.6556515 ↗
74. Zheng, Y., Xiao, R., Wang, Y., and Gee, J.C. (2013, January 22–26). A generative model for OCT retinal layer segmentation by integrating graph-based multi-surface searching and image registration. Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention, Nagoya, Japan.10.1007/978-3-642-40811-3_54 ↗
75. Automated non-rigid registration and mosaicing for robust imaging of distinct retinal capillary beds using speckle variance optical coherence tomography10.1364/BOE.4.000803 ↗
76. Handheld simultaneous scanning laser ophthalmoscopy and optical coherence tomography system10.1364/BOE.4.002307 ↗
77. Analysis of macular OCT images using deformable registration10.1364/BOE.5.002196 ↗
78. Quantitative 3D-OCT motion correction with tilt and illumination correction, robust similarity measure and regularization10.1364/BOE.5.002591 ↗
79. Montuoro, A., Wu, J., Waldstein, S., Gerendas, B., Langs, G., Simader, C., and Schmidt-Erfurth, U. (2014, January 14–18). Motion artefact correction in retinal optical coherence tomography using local symmetry. Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention, Boston, MA, USA.10.1007/978-3-319-10470-6_17 ↗
80. Exact surface registration of retinal surfaces from 3-d optical coherence tomography images10.1109/TBME.2014.2361778 ↗
81. Lang, A., Carass, A., Al-Louzi, O., Bhargava, P., Solomon, S.D., Calabresi, P.A., and Prince, J.L. (March, January 27). Combined registration and motion correction of longitudinal retinal OCT data. Proceedings of the Medical Imaging 2016: Image Processing, San Diego, CA, USA.10.1117/12.2217157 ↗
82. Segmentation guided registration of wide field-of-view retinal optical coherence tomography volumes10.1364/BOE.7.004827 ↗
83. Fu, H., Xu, Y., Wong, D.W.K., and Liu, J. (2016, January 22–25). Eye movement correction for 3D OCT volume by using saliency and center bias constraint. Proceedings of the 2016 IEEE Region 10 Conference (TENCON), Singapore.10.1109/TENCON.2016.7848273 ↗
84. Three-dimensional eye motion correction by Lissajous scan optical coherence tomography10.1364/BOE.8.001783 ↗
85. In vivo optical coherence tomography10.1016/S0002-9394(14)71762-3 ↗
86. A novel vessel segmentation algorithm for pathological retina images based on the divergence of vector fields10.1109/TMI.2007.909827 ↗
87. Elastic registration in the presence of intensity variations10.1109/TMI.2003.815069 ↗
88. Dynamic programming algorithm optimization for spoken word recognition10.1109/TASSP.1978.1163055 ↗
89. Lowe, D.G. (1999, January 20–27). Object recognition from local scale-invariant features. Proceedings of the Proceedings of the Seventh IEEE International Conference on Computer Vision, Kerkyra, Greece.10.1109/ICCV.1999.790410 ↗
90. The adaptive bases algorithm for intensity-based nonrigid image registration10.1109/TMI.2003.819299 ↗
91. Point set registration: Coherent point drift10.1109/TPAMI.2010.46 ↗
92. Image denoising by sparse 3D transform-domain collaborative filtering10.1109/TIP.2007.901238 ↗
93. Yuille, A.L., and Grzywacz, N.M. (1988, January 5–8). The motion coherence theory. Proceedings of the 1988 Second International Conference on Computer Vision, Tampa, FL, USA.
94. Dubuisson, M.P., and Jain, A.K. (1994, January 9–13). A modified Hausdorff distance for object matching. Proceedings of the 12th International Conference on Pattern Recognition, Jerusalem, Israel.
95. A new diamond search algorithm for fast block-matching motion estimation10.1109/TIP.2000.826791 ↗
96. Lee, J.A., Cheng, J., Xu, G., Ong, E.P., Lee, B.H., Wong, D.W.K., and Liu, J. (2015, January 5–9). Registration of color and OCT fundus images using low-dimensional step pattern analysis. Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention, Munich, Germany.10.1007/978-3-319-24571-3_26 ↗
97. Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography10.1145/358669.358692 ↗
98. Eye-motion-corrected optical coherence tomography angiography using Lissajous scanning10.1364/BOE.9.001111 ↗
99. Quantitative automated circumpapillary microvascular density measurements: A new angioOCT-based methodology10.1038/s41433-018-0207-z ↗
100. Early detection of retinal thickness changes in diabetes using optical coherence tomography