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dc.contributor.authorWu, Xuanen_US
dc.contributor.authorTan, Bingyaoen_US
dc.contributor.authorGan, Jinyuanen_US
dc.contributor.authorLam, Adeline R.en_US
dc.contributor.authorChen, Yibingen_US
dc.contributor.authorLiu, Xinyuen_US
dc.contributor.authorChua, Jacquelineen_US
dc.contributor.authorWong, Damon Wing Keeen_US
dc.contributor.authorAng, Marcusen_US
dc.contributor.authorSchmetterer, Leopolden_US
dc.contributor.authorYao, Xinwenen_US
dc.identifier.citationWu, 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-.
dc.description.abstractWe 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.en_US
dc.description.sponsorshipAgency for Science, Technology and Research (A*STAR)en_US
dc.description.sponsorshipMinistry of Health (MOH)en_US
dc.description.sponsorshipNational Medical Research Council (NMRC)en_US
dc.description.sponsorshipNational Research Foundation (NRF)en_US
dc.relation.ispartofScientific Reportsen_US
dc.rights© 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
dc.subjectEngineering::Chemical engineeringen_US
dc.titleEvaluation of different OCT systems in quantitative imaging of human Schlemm's canalen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Chemical and Biomedical Engineeringen_US
dc.contributor.organizationDuke-NUS Medical Schoolen_US
dc.contributor.organizationSingapore National Eye Centreen_US
dc.contributor.researchSERI-NTU Advanced Ocular Engineering (STANCE)en_US
dc.description.versionPublished versionen_US
dc.subject.keywordsOptical Coherence Tomographyen_US
dc.subject.keywordsAnatomy and Histologyen_US
dc.description.acknowledgementThis 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.en_US
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