Motion Artifact Correction for OCT Microvascular Images Based on Image Feature Matching
Xudong Chen
Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China
Search for more papers by this authorCorresponding Author
Zongqing Ma
Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China
Correspondence:
Zongqing Ma ([email protected])
Jiang Zhu ([email protected])
Search for more papers by this authorChongyang Wang
Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China
Search for more papers by this authorJiaqi Cui
Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China
Search for more papers by this authorFan Fan
Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China
Search for more papers by this authorXinxiao Gao
Beijing Anzhen Hospital, Capital Medical University, Beijing, China
Search for more papers by this authorCorresponding Author
Jiang Zhu
Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China
Correspondence:
Zongqing Ma ([email protected])
Jiang Zhu ([email protected])
Search for more papers by this authorXudong Chen
Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China
Search for more papers by this authorCorresponding Author
Zongqing Ma
Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China
Correspondence:
Zongqing Ma ([email protected])
Jiang Zhu ([email protected])
Search for more papers by this authorChongyang Wang
Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China
Search for more papers by this authorJiaqi Cui
Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China
Search for more papers by this authorFan Fan
Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China
Search for more papers by this authorXinxiao Gao
Beijing Anzhen Hospital, Capital Medical University, Beijing, China
Search for more papers by this authorCorresponding Author
Jiang Zhu
Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China
Correspondence:
Zongqing Ma ([email protected])
Jiang Zhu ([email protected])
Search for more papers by this authorFunding: This work was supported by National Key Research and Development Program of China (2022YFC3502301 and 2022YFC3502300), National Natural Science Foundation of China (61975019), R&D Program of Beijing Municipal Education Commission (KZ202011232050 and KM202311232021), and the Young Backbone Teacher Support Plan of Beijing Information Science & Technology University (YBT202410).
ABSTRACT
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.
Conflicts of Interest
The authors declare no conflicts of interest.
Open Research
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.
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