Evaluation of different OCT systems in quantitative imaging of human Schlemm's canal
We examined the performance of human Schlemm's canal (SC) imaging using different OCT devices: CIRRUS 5000 (840 nm, spectral-domain (SD)-OCT), PLEX Elite 9000 (1060 nm, swept-source (SS)-OCT) and CASIA SS-1000 (1310 nm, SS-OCT), and analyzed potential impact factors on visualization and the qua...
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Engineering::Chemical engineering Optical Coherence Tomography Anatomy and Histology |
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Engineering::Chemical engineering Optical Coherence Tomography Anatomy and Histology Wu, Xuan Tan, Bingyao Gan, Jinyuan Lam, Adeline R. Chen, Yibing Liu, Xinyu Chua, Jacqueline Wong, Damon Wing Kee Ang, Marcus Schmetterer, Leopold Yao, Xinwen Evaluation of different OCT systems in quantitative imaging of human Schlemm's canal |
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We examined the performance of human Schlemm's canal (SC) imaging using different OCT devices: CIRRUS 5000 (840 nm, spectral-domain (SD)-OCT), PLEX Elite 9000 (1060 nm, swept-source (SS)-OCT) and CASIA SS-1000 (1310 nm, SS-OCT), and analyzed potential impact factors on visualization and the quantitative assessment of SC morphology in a pilot study. Ten healthy subjects were imaged using three OCT devices by a single experienced operator on the same day. Each eye underwent two cubic scans by each device, one on nasal and the other on temporal quadrant. The B-scan showing the largest SC was manually selected for processing. Four quantitative metrics, including one morphological metric as cross-sectional area (CSA), and three performance metrics as contrast, continuity, and coverage, were derived from the datasets. Repeated-measures ANOVA was used to investigate the difference between these parameters from the three devices (P < 0.05). We found the CSA measured from CIRRUS was significantly larger than PLEX, followed by CASIA. The contrast was highest in CIRRUS, followed by PLEX and CASIA. The coverage was also higher in CIRRUS as compared to PLEX and CASIA. No significant difference was seen in the continuity from the three devices. In summary, we showed the measurements from the three devices were not interchangeable. |
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School of Chemical and Biomedical Engineering |
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School of Chemical and Biomedical Engineering Wu, Xuan Tan, Bingyao Gan, Jinyuan Lam, Adeline R. Chen, Yibing Liu, Xinyu Chua, Jacqueline Wong, Damon Wing Kee Ang, Marcus Schmetterer, Leopold Yao, Xinwen |
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Article |
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Wu, Xuan Tan, Bingyao Gan, Jinyuan Lam, Adeline R. Chen, Yibing Liu, Xinyu Chua, Jacqueline Wong, Damon Wing Kee Ang, Marcus Schmetterer, Leopold Yao, Xinwen |
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Wu, Xuan |
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Evaluation of different OCT systems in quantitative imaging of human Schlemm's canal |
title_short |
Evaluation of different OCT systems in quantitative imaging of human Schlemm's canal |
title_full |
Evaluation of different OCT systems in quantitative imaging of human Schlemm's canal |
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Evaluation of different OCT systems in quantitative imaging of human Schlemm's canal |
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Evaluation of different OCT systems in quantitative imaging of human Schlemm's canal |
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evaluation of different oct systems in quantitative imaging of human schlemm's canal |
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2022 |
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https://hdl.handle.net/10356/160429 |
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sg-ntu-dr.10356-1604292023-12-29T06:45:40Z Evaluation of different OCT systems in quantitative imaging of human Schlemm's canal Wu, Xuan Tan, Bingyao Gan, Jinyuan Lam, Adeline R. Chen, Yibing Liu, Xinyu Chua, Jacqueline Wong, Damon Wing Kee Ang, Marcus Schmetterer, Leopold Yao, Xinwen School of Chemical and Biomedical Engineering Duke-NUS Medical School Singapore National Eye Centre SERI-NTU Advanced Ocular Engineering (STANCE) Engineering::Chemical engineering Optical Coherence Tomography Anatomy and Histology We examined the performance of human Schlemm's canal (SC) imaging using different OCT devices: CIRRUS 5000 (840 nm, spectral-domain (SD)-OCT), PLEX Elite 9000 (1060 nm, swept-source (SS)-OCT) and CASIA SS-1000 (1310 nm, SS-OCT), and analyzed potential impact factors on visualization and the quantitative assessment of SC morphology in a pilot study. Ten healthy subjects were imaged using three OCT devices by a single experienced operator on the same day. Each eye underwent two cubic scans by each device, one on nasal and the other on temporal quadrant. The B-scan showing the largest SC was manually selected for processing. Four quantitative metrics, including one morphological metric as cross-sectional area (CSA), and three performance metrics as contrast, continuity, and coverage, were derived from the datasets. Repeated-measures ANOVA was used to investigate the difference between these parameters from the three devices (P < 0.05). We found the CSA measured from CIRRUS was significantly larger than PLEX, followed by CASIA. The contrast was highest in CIRRUS, followed by PLEX and CASIA. The coverage was also higher in CIRRUS as compared to PLEX and CASIA. No significant difference was seen in the continuity from the three devices. In summary, we showed the measurements from the three devices were not interchangeable. Agency for Science, Technology and Research (A*STAR) Ministry of Health (MOH) National Medical Research Council (NMRC) National Research Foundation (NRF) Published version This work was funded by grants from the National Medical Research Council (CG/C010A/2017_SERI; OFIRG/0048/2017; OFLCG/004c/2018; TA/MOH-000249–00/2018 and MOH-OFIRG20nov-0014), National Research Foundation Singapore (NRF2019-THE002-0006 and NRF-CRP24-2020–0001), A*STAR (A20H4b0141), the Singapore Eye Research Institute & Nanyang Technological University (SERI-NTU Advanced Ocular Engineering (STANCE) Program), the Duke-NUS Medical School (Duke-NUS-KP(Coll)/2018/0009A), and the SERI-Lee Foundation (LF1019-1) Singapore. 2022-07-22T02:15:58Z 2022-07-22T02:15:58Z 2022 Journal Article Wu, X., Tan, B., Gan, J., Lam, A. R., Chen, Y., Liu, X., Chua, J., Wong, D. W. K., Ang, M., Schmetterer, L. & Yao, X. (2022). Evaluation of different OCT systems in quantitative imaging of human Schlemm's canal. Scientific Reports, 12(1), 1400-. https://dx.doi.org/10.1038/s41598-022-05410-9 2045-2322 https://hdl.handle.net/10356/160429 10.1038/s41598-022-05410-9 35082345 2-s2.0-85123606643 1 12 1400 en CG/C010A/2017_SERI OFIRG/0048/2017 OFLCG/004c/2018 TA/MOH-000249–00/2018 MOH-OFIRG20nov-0014 NRF2019-THE002-0006 NRF-CRP24-2020–0001 A20H4b0141 Duke-NUS-KP(Coll)/2018/0009A LF1019-1 Scientific Reports © 2022 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. application/pdf |