Windowed Eigen-Decomposition Algorithm for Motion Artifact Reduction in Optical Coherence Tomography-Based Angiography
Optical coherence tomography-based angiography (OCTA) has attracted attention in clinical applications as a non-invasive and high-resolution imaging modality. Motion artifacts are the most seen artifact in OCTA. Eigen-decomposition (ED) algorithms are popular choices for OCTA reconstruction, but hav...
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MDPI AG
2022-12-01
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| Online Access: | https://www.mdpi.com/2076-3417/13/1/378 |
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| author | Tianyu Zhang Kanheng Zhou Holly R. Rocliffe Antonella Pellicoro Jenna L. Cash Wendy Wang Zhiqiong Wang Chunhui Li Zhihong Huang |
| author_facet | Tianyu Zhang Kanheng Zhou Holly R. Rocliffe Antonella Pellicoro Jenna L. Cash Wendy Wang Zhiqiong Wang Chunhui Li Zhihong Huang |
| author_sort | Tianyu Zhang |
| collection | DOAJ |
| description | Optical coherence tomography-based angiography (OCTA) has attracted attention in clinical applications as a non-invasive and high-resolution imaging modality. Motion artifacts are the most seen artifact in OCTA. Eigen-decomposition (ED) algorithms are popular choices for OCTA reconstruction, but have limitations in the reduction of motion artifacts. The OCTA data do not meet one of the requirements of ED, which is that the data should be normally distributed. To overcome this drawback, we propose an easy-to-deploy development of ED, windowed-ED (wED). wED applies a moving window to the input data, which can contrast the blood-flow signals with significantly reduced motion artifacts. To evaluate our wED algorithm, pre-acquired dorsal wound healing data in a murine model were used. The ideal window size was optimized by fitting the data distribution with the normal distribution. Lastly, the cross-sectional and en face results were compared among several OCTA reconstruction algorithms, Speckle Variance, A-scan ED (aED), B-scan ED, and wED. wED could reduce the background noise intensity by 18% and improve PSNR by 4.6%, compared to the second best-performed algorithm, aED. This study can serve as a guide for utilizing wED to reconstruct OCTA images with an optimized window size. |
| first_indexed | 2024-03-11T10:08:10Z |
| format | Article |
| id | doaj.art-c23df658ba5c41bcb3b11582bb1be97b |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T10:08:10Z |
| publishDate | 2022-12-01 |
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| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-c23df658ba5c41bcb3b11582bb1be97b2023-11-16T14:56:12ZengMDPI AGApplied Sciences2076-34172022-12-0113137810.3390/app13010378Windowed Eigen-Decomposition Algorithm for Motion Artifact Reduction in Optical Coherence Tomography-Based AngiographyTianyu Zhang0Kanheng Zhou1Holly R. Rocliffe2Antonella Pellicoro3Jenna L. Cash4Wendy Wang5Zhiqiong Wang6Chunhui Li7Zhihong Huang8Centre of Medical Engineering and Technology, University of Dundee, Dundee DD1 4HN, UKCentre of Medical Engineering and Technology, University of Dundee, Dundee DD1 4HN, UKMRC Centre for Inflammation Research, The Queen’s Medical Research Institute, The University of Edinburgh, Edinburgh EH16 4TJ, UKMRC Centre for Inflammation Research, The Queen’s Medical Research Institute, The University of Edinburgh, Edinburgh EH16 4TJ, UKMRC Centre for Inflammation Research, The Queen’s Medical Research Institute, The University of Edinburgh, Edinburgh EH16 4TJ, UKDepartment of Bioengineering, University of Washington, Seattle, WA 98195, USACollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110016, ChinaCentre of Medical Engineering and Technology, University of Dundee, Dundee DD1 4HN, UKCentre of Medical Engineering and Technology, University of Dundee, Dundee DD1 4HN, UKOptical coherence tomography-based angiography (OCTA) has attracted attention in clinical applications as a non-invasive and high-resolution imaging modality. Motion artifacts are the most seen artifact in OCTA. Eigen-decomposition (ED) algorithms are popular choices for OCTA reconstruction, but have limitations in the reduction of motion artifacts. The OCTA data do not meet one of the requirements of ED, which is that the data should be normally distributed. To overcome this drawback, we propose an easy-to-deploy development of ED, windowed-ED (wED). wED applies a moving window to the input data, which can contrast the blood-flow signals with significantly reduced motion artifacts. To evaluate our wED algorithm, pre-acquired dorsal wound healing data in a murine model were used. The ideal window size was optimized by fitting the data distribution with the normal distribution. Lastly, the cross-sectional and en face results were compared among several OCTA reconstruction algorithms, Speckle Variance, A-scan ED (aED), B-scan ED, and wED. wED could reduce the background noise intensity by 18% and improve PSNR by 4.6%, compared to the second best-performed algorithm, aED. This study can serve as a guide for utilizing wED to reconstruct OCTA images with an optimized window size.https://www.mdpi.com/2076-3417/13/1/378optical coherence tomography (OCT)optical coherence tomography-based angiography (OCTA)eigen-decomposition (ED)motion artifact |
| spellingShingle | Tianyu Zhang Kanheng Zhou Holly R. Rocliffe Antonella Pellicoro Jenna L. Cash Wendy Wang Zhiqiong Wang Chunhui Li Zhihong Huang Windowed Eigen-Decomposition Algorithm for Motion Artifact Reduction in Optical Coherence Tomography-Based Angiography Applied Sciences optical coherence tomography (OCT) optical coherence tomography-based angiography (OCTA) eigen-decomposition (ED) motion artifact |
| title | Windowed Eigen-Decomposition Algorithm for Motion Artifact Reduction in Optical Coherence Tomography-Based Angiography |
| title_full | Windowed Eigen-Decomposition Algorithm for Motion Artifact Reduction in Optical Coherence Tomography-Based Angiography |
| title_fullStr | Windowed Eigen-Decomposition Algorithm for Motion Artifact Reduction in Optical Coherence Tomography-Based Angiography |
| title_full_unstemmed | Windowed Eigen-Decomposition Algorithm for Motion Artifact Reduction in Optical Coherence Tomography-Based Angiography |
| title_short | Windowed Eigen-Decomposition Algorithm for Motion Artifact Reduction in Optical Coherence Tomography-Based Angiography |
| title_sort | windowed eigen decomposition algorithm for motion artifact reduction in optical coherence tomography based angiography |
| topic | optical coherence tomography (OCT) optical coherence tomography-based angiography (OCTA) eigen-decomposition (ED) motion artifact |
| url | https://www.mdpi.com/2076-3417/13/1/378 |
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