Motion Artifact Correction for OCT Microvascular Images Based on Image Feature Matching.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος:	Motion Artifact Correction for OCT Microvascular Images Based on Image Feature Matching.
Συγγραφείς:	Chen X; Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China., Ma Z; Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China., Wang C; Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China., Cui J; Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China., Fan F; Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China., Gao X; Beijing Anzhen Hospital, Capital Medical University, Beijing, China., Zhu J; Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China.
Πηγή:	Journal of biophotonics [J Biophotonics] 2024 Oct; Vol. 17 (10), pp. e202400198. Date of Electronic Publication: 2024 Aug 28.
Τύπος έκδοσης:	Journal Article; Research Support, Non-U.S. Gov't
Γλώσσα:	English
Στοιχεία περιοδικού:	Publisher: Wiley-VCH Country of Publication: Germany NLM ID: 101318567 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1864-0648 (Electronic) Linking ISSN: 1864063X NLM ISO Abbreviation: J Biophotonics Subsets: MEDLINE
Imprint Name(s):	Original Publication: Weinheim : Wiley-VCH
Ιατρικοί όροι (MeSH):	Tomography, Optical Coherence/methods , Image Processing, Computer-Assisted/methods , Microvessels/diagnostic imaging , Artifacts, Algorithms ; Motion ; Humans
Περίληψη:	Optical coherence tomography angiography (OCTA), a functional extension of optical coherence tomography (OCT), is widely employed for high-resolution imaging of microvascular networks. However, due to the relatively low scan rate of OCT, the artifacts caused by the involuntary bulk motion of tissues severely impact the visualization of microvascular networks. This study proposes a fast motion correction method based on image feature matching for OCT microvascular images. First, the rigid motion-related mismatch between B-scans is compensated through the image feature matching based on the improved oriented FAST and rotated BRIEF algorithm. Then, the axial motion within A-scan lines in each B-scan image is corrected according to the displacement deviation between the detected boundaries achieved by the Scharr operator in a non-rigid transformation manner. Finally, an optimized intensity-based Doppler variance algorithm is developed to enhance the robustness of the OCTA imaging. The experimental results demonstrate the effectiveness of the method. (© 2024 Wiley‐VCH GmbH.)
References:	F. Lavinsky and D. Lavinsky , “Novel Perspectives on Swept‐Source Optical Coherence Tomography,” International Journal of Retina and Vitreous 2 (2016): 25. W. Geitzenauer , C. K. Hitzenberger , and U. M. Schmidt‐Erfurth , “Retinal Optical Coherence Tomography: Past, Present and Future Perspectives,” British Journal of Ophthalmology 95, no. 2 (2011): 171–177. B. Potsaid , B. Baumann , D. Huang , et al., “Ultrahigh Speed 1050 nm Swept Source/Fourier Domain OCT Retinal and Anterior Segment Imaging at 100,000 to 400,000 Axial Scans per Second,” Optics Express 18, no. 19 (2010): 20029–20048. Y. Jia , S. T. Bailey , T. S. Hwang , et al., “Quantitative Optical Coherence Tomography Angiography of Vascular Abnormalities in the Living Human eye,” Proceedings of the National Academy of Sciences of the United States of America 112, no. 18 (2015): E2395–E2402. A. Y. Kim , Z. Chu , A. Shahidzadeh , R. K. Wang , C. A. Puliafito , and A. H. Kashani , “Quantifying Microvascular Density and Morphology in Diabetic Retinopathy Using Spectral‐Domain Optical Coherence Tomography Angiography,” Investigative Ophthalmology & Visual Science 57, no. 9 (2016): OCT362–OCT370. A. J. Deegan , F. Talebi‐Liasi , S. Song , et al., “Optical Coherence Tomography Angiography of Normal Skin and Inflammatory Dermatologic Conditions,” Lasers in Surgery and Medicine 50, no. 3 (2018): 183–193. B. J. Vakoc , R. M. Lanning , J. A. Tyrrell , et al., “Three‐Dimensional Microscopy of the Tumor Microenvironment in Vivo Using Optical Frequency Domain Imaging,” Nature Medicine 15, no. 10 (2009): 1219–1223. U. Baran , W. J. Choi , and R. K. Wang , “Potential Use of OCT‐Based Microangiography in Clinical Dermatology,” Skin Research and Technology 22, no. 2 (2016): 238–246. Y. Li , J. Chen , and Z. Chen , “Advances in Doppler Optical Coherence Tomography and Angiography,” Translational Biophotonics 1, no. 1–2 (2019): e201900005. G. Liu , W. Jia , V. Sun , B. Choi , and Z. Chen , “High‐Resolution Imaging of Microvasculature in Human Skin In‐Vivo With Optical Coherence Tomography,” Optics Express 20, no. 7 (2012): 7694–7705. Y. Nishijima , Y. Akamatsu , S. Y. Yang , et al., “Impaired Collateral Flow Compensation During Chronic Cerebral Hypoperfusion in the Type 2 Diabetic Mice,” Stroke 47, no. 12 (2016): 3014–3021. P. Anvari , M. Ashrafkhorasani , A. Habibi , and K. G. Falavarjani , “Artifacts in Optical Coherence Tomography Angiography,” Journal of Ophthalmic and Vision Research 16, no. 2 (2021): 271–286. A. Baghaie , Z. Yu , and R. M. D'Souza , “Involuntary Eye Motion Correction in Retinal Optical Coherence Tomography: Hardware or Software Solution?” Medical Image Analysis 37 (2017): 129–145. B. Potsaid , I. Gorczynska , V. J. Srinivasan , et al., “Ultrahigh Speed Spectral/Fourier Domain OCT Ophthalmic Imaging at 70,000 to 312,500 Axial Scans per Second,” Optics Express 16, no. 19 (2008): 15149–15169. K. Kurokawa , J. A. Crowell , N. Do , J. J. Lee , and D. T. Miller , “Multi‐Reference Global Registration of Individual A‐Lines in Adaptive Optics Optical Coherence Tomography Retinal Images,” Journal of Biomedical Optics 26, no. 1 (2021): 016001. H. J. Kim , B. J. Song , Y. Choi , and B. M. Kim , “Cross‐Scanning Optical Coherence Tomography Angiography for Eye Motion Correction,” Journal of Biophotonics 13, no. 9 (2020): e202000170. K. V. Vienola , B. Braaf , C. K. Sheehy , et al., “Real‐Time Eye Motion Compensation for OCT Imaging With Tracking SLO,” Biomedical Optics Express 3, no. 11 (2012): 2950–2963. M. F. Shirazi , J. Andilla , N. Lefaudeux , et al., “Multi‐Modal and Multi‐Scale Clinical Retinal Imaging System With Pupil and Retinal Tracking,” Scientific Reports 12, no. 1 (2022): 9577. B. Braaf , K. Vienola , C. Sheehy , et al., “Real‐Time Eye Motion Correction in Phase‐Resolved OCT Angiography With Tracking SLO,” Biomedical Optics Express 4, no. 1 (2013): 51–65. C. K. Sheehy , Q. Yang , D. W. Arathorn , P. Tiruveedhula , J. F. de Boer , and A. Roorda , “High‐Speed, Image‐Based Eye Tracking With a Scanning Laser Ophthalmoscope,” Biomedical Optics Express 3, no. 10 (2012): 2611–2622. J. Xu , H. Ishikawa , G. Wollstein , L. Kagemann , and J. S. Schuman , “Alignment of 3‐D Optical Coherence Tomography Scans to Correct eye Movement Using a Particle Filtering,” IEEE Transactions on Medical Imaging 31, no. 7 (2012): 1337–1345. M. F. Kraus , B. Potsaid , M. A. Mayer , et al., “Motion Correction in Optical Coherence Tomography Volumes on a Per A‐Scan Basis Using Orthogonal Scan Patterns,” Biomedical Optics Express 3, no. 6 (2012): 1182–1199. D. W. Wei , A. J. Deegan , and R. K. Wang , “Automatic Motion Correction for in Vivo Human Skin Optical Coherence Tomography Angiography Through Combined Rigid and Nonrigid Registration,” Journal of Biomedical Optics 22, no. 6 (2017): 066013. Y. M. Liew , R. A. McLaughlin , F. M. Wood , and D. D. Sampson , “Motion Correction of in Vivo Three‐Dimensional Optical Coherence Tomography of Human Skin Using a Fiducial Marker,” Biomedical Optics Express 3, no. 8 (2012): 1774–1786. P. Wang , “Dither Removing of Three‐Dimensional OCT Retinal Image,” in International Conference on Optoelectronic and Microeleronic Technology and Application, vol. 11617 (Nanjing, China: SPIE, 2020). Y. Wang , A. Warter , M. Cavichini‐Cordeiro , et al., “Learning to Correct Axial Motion in OCT for 3D Retinal Imaging,” in International Conference on Image Processing (Anchorage, AK: IEEE, 2021), 126–130. N. Wu , M. Yi , C. Guan , et al., “Retinal Cross‐Section Motion Correction in Three‐Dimensional Retinal Optical Coherence Tomography,” Journal of Biophotonics 14, no. 6 (2021): e202000443. I. Suárez , G. Sfeir , J. M. Buenaposada , and L. Baumela , “BEBLID: Boosted Efficient Binary Local Image Descriptor,” Pattern Recognition Letters 133 (2020): 366–372. Y. He , Y. Qu , J. Zhu , et al., “Confocal Shear Wave Acoustic Radiation Force Optical Coherence Elastography for Imaging and Quantification of the in Vivo Posterior Eye,” IEEE Journal of Selected Topics in Quantum Electronics 25, no. 1 (2019): 1–7. S. Guo , Z. Yan , K. Zhang , W. Zuo , and L. Zhang , “Toward Convolutional Blind Denoising of Real Photographs,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019) (Long Beach, CA: IEEE, 2019). J. Liu , J. Zhu , L. Zhu , Q. Yang , F. Fan , and F. Zhang , “Quantitative Assessment of Optical Coherence Tomography Angiography Algorithms for Neuroimaging,” Journal of Biophotonics 13, no. 9 (2020): e202000181. R. Raghunathan , C. H. Liu , Y. S. Ambekar , M. Singh , R. C. Miranda , and K. V. Larin , “Optical Coherence Tomography Angiography to Evaluate Murine Fetal Brain Vasculature Changes Caused by Prenatal Exposure to Nicotine,” Biomedical Optics Express 11, no. 7 (2020): 3618–3632. D. Dong , A. Arranz , S. Zhu , et al., “Vertically Scanned Laser Sheet Microscopy,” Journal of Biomedical Optics 19, no. 10 (2014): 106001. Y. Li , N. T. Sudol , Y. Miao , et al., “1.7 Micron Optical Coherence Tomography for Vaginal Tissue Characterization in Vivo,” Lasers in Surgery and Medicine 51, no. 2 (2019): 120–126.
Grant Information:	2022YFC3502301 National Key Research and Development Program of China; 2022YFC3502300 National Key Research and Development Program of China; 61975019 National Natural Science Foundation of China; KZ202011232050 R&D Program of Beijing Municipal Education Commission; KM202311232021 R&D Program of Beijing Municipal Education Commission; YBT202410 Young Backbone Teacher Support Plan of Beijing Information Science & Technology University
Contributed Indexing:	Keywords: image feature matching; microvascular network; motion correction; optical coherence tomography; optical coherence tomography angiography
Entry Date(s):	Date Created: 20240828 Date Completed: 20241009 Latest Revision: 20250824
Update Code:	20260130
DOI:	10.1002/jbio.202400198
PMID:	39198156
Βάση Δεδομένων:	MEDLINE

Περιγραφή
ISSN:	1864-0648
DOI:	10.1002/jbio.202400198