Developing a normative database for retinal perfusion using optical coherence tomography angiography
Visualizing and characterizing microvascular abnormalities with optical coherence tomography angiography (OCTA) has deepened our understanding of ocular diseases, such as glaucoma, diabetic retinopathy, and age-related macular degeneration. Two types of microvascular defects can be detected by OCTA:...
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sg-ntu-dr.10356-1561822022-04-11T02:57:15Z Developing a normative database for retinal perfusion using optical coherence tomography angiography Tan, Bingyao Sim, Yin Ci Chua, Jacqueline Yusufi, Dheo Wong, Damon Wing Kee Yow, Ai Ping Chin, Calvin Tan, Anna C. S. Sng, Chelvin Cheryl Agnes Agrawal, Rupesh Gopal, Lekha Sim, Ralene Tan, Gavin Lamoureux, Ecosse Schmetterer, Leopold School of Chemical and Biomedical Engineering Lee Kong Chian School of Medicine (LKCMedicine) Institute for Digital Molecular Analytics and Science (IDMxS) NTU Institute for Health Technologies SERI-NTU Advanced Ocular Engineering (STANCE) Engineering::General Science::Medicine::Optical instruments Optical Tomography Age-Related Macular Degeneration Visualizing and characterizing microvascular abnormalities with optical coherence tomography angiography (OCTA) has deepened our understanding of ocular diseases, such as glaucoma, diabetic retinopathy, and age-related macular degeneration. Two types of microvascular defects can be detected by OCTA: focal decrease because of localized absence and collapse of retinal capillaries, which is referred to as the non-perfusion area in OCTA, and diffuse perfusion decrease usually detected by comparing with healthy case-control groups. Wider OCTA allows for insights into peripheral retinal vascularity, but the heterogeneous perfusion distribution from the macula, parapapillary area to periphery hurdles the quantitative assessment. A normative database for OCTA could estimate how much individual's data deviate from the normal range, and where the deviations locate. Here, we acquired OCTA images using a swept-source OCT system and a 12×12 mm protocol in healthy subjects. We automatically segmented the large blood vessels with U-Net, corrected for anatomical factors such as the relative position of fovea and disc, and segmented the capillaries by a moving window scheme. A total of 195 eyes were included and divided into 4 age groups: < 30 (n=24) years old, 30-49 (n=28) years old, 50-69 (n=109) years old and >69 (n=34) years old. This provides an age-dependent normative database for characterizing retinal perfusion abnormalities in 12×12 mm OCTA images. The usefulness of the normative database was tested on two pathological groups: one with diabetic retinopathy; the other with glaucoma. Ministry of Health (MOH) National Medical Research Council (NMRC) Published version National Medical Research Council (NMRC/CG/C010A/2017_SERI, NMRC/OFIRG/0048/2017, NMRC/OFLCG/004c/2018, MOH-000249-00); Duke-NUS Duke-NUS-KP(Coll)/2018/0009A. 2022-04-07T08:54:12Z 2022-04-07T08:54:12Z 2021 Journal Article Tan, B., Sim, Y. C., Chua, J., Yusufi, D., Wong, D. W. K., Yow, A. P., Chin, C., Tan, A. C. S., Sng, C. C. A., Agrawal, R., Gopal, L., Sim, R., Tan, G., Lamoureux, E. & Schmetterer, L. (2021). Developing a normative database for retinal perfusion using optical coherence tomography angiography. Biomedical Optics Express, 12(7), 4032-4045. https://dx.doi.org/10.1364/BOE.423469 2156-7085 https://hdl.handle.net/10356/156182 10.1364/BOE.423469 34457397 2-s2.0-85108252173 7 12 4032 4045 en NMRC/CG/C010A/2017_SERI NMRC/OFIRG/0048/2017 NMRC/OFLCG/004c/2018 MOH-000249-00 Duke-NUS-KP(Coll)/2018/0009A Biomedical Optics Express © 2021 Optical Society of America under the terms of the Open Access Publishing Agreement. Users may use, reuse, and build upon the article, or use the article for text or data mining, so long as such uses are for noncommercial purposes and appropriate attribution is maintained. All other rights are reserved. application/pdf |
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Engineering::General Science::Medicine::Optical instruments Optical Tomography Age-Related Macular Degeneration Tan, Bingyao Sim, Yin Ci Chua, Jacqueline Yusufi, Dheo Wong, Damon Wing Kee Yow, Ai Ping Chin, Calvin Tan, Anna C. S. Sng, Chelvin Cheryl Agnes Agrawal, Rupesh Gopal, Lekha Sim, Ralene Tan, Gavin Lamoureux, Ecosse Schmetterer, Leopold Developing a normative database for retinal perfusion using optical coherence tomography angiography |
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Visualizing and characterizing microvascular abnormalities with optical coherence tomography angiography (OCTA) has deepened our understanding of ocular diseases, such as glaucoma, diabetic retinopathy, and age-related macular degeneration. Two types of microvascular defects can be detected by OCTA: focal decrease because of localized absence and collapse of retinal capillaries, which is referred to as the non-perfusion area in OCTA, and diffuse perfusion decrease usually detected by comparing with healthy case-control groups. Wider OCTA allows for insights into peripheral retinal vascularity, but the heterogeneous perfusion distribution from the macula, parapapillary area to periphery hurdles the quantitative assessment. A normative database for OCTA could estimate how much individual's data deviate from the normal range, and where the deviations locate. Here, we acquired OCTA images using a swept-source OCT system and a 12×12 mm protocol in healthy subjects. We automatically segmented the large blood vessels with U-Net, corrected for anatomical factors such as the relative position of fovea and disc, and segmented the capillaries by a moving window scheme. A total of 195 eyes were included and divided into 4 age groups: < 30 (n=24) years old, 30-49 (n=28) years old, 50-69 (n=109) years old and >69 (n=34) years old. This provides an age-dependent normative database for characterizing retinal perfusion abnormalities in 12×12 mm OCTA images. The usefulness of the normative database was tested on two pathological groups: one with diabetic retinopathy; the other with glaucoma. |
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School of Chemical and Biomedical Engineering |
author_facet |
School of Chemical and Biomedical Engineering Tan, Bingyao Sim, Yin Ci Chua, Jacqueline Yusufi, Dheo Wong, Damon Wing Kee Yow, Ai Ping Chin, Calvin Tan, Anna C. S. Sng, Chelvin Cheryl Agnes Agrawal, Rupesh Gopal, Lekha Sim, Ralene Tan, Gavin Lamoureux, Ecosse Schmetterer, Leopold |
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Article |
author |
Tan, Bingyao Sim, Yin Ci Chua, Jacqueline Yusufi, Dheo Wong, Damon Wing Kee Yow, Ai Ping Chin, Calvin Tan, Anna C. S. Sng, Chelvin Cheryl Agnes Agrawal, Rupesh Gopal, Lekha Sim, Ralene Tan, Gavin Lamoureux, Ecosse Schmetterer, Leopold |
author_sort |
Tan, Bingyao |
title |
Developing a normative database for retinal perfusion using optical coherence tomography angiography |
title_short |
Developing a normative database for retinal perfusion using optical coherence tomography angiography |
title_full |
Developing a normative database for retinal perfusion using optical coherence tomography angiography |
title_fullStr |
Developing a normative database for retinal perfusion using optical coherence tomography angiography |
title_full_unstemmed |
Developing a normative database for retinal perfusion using optical coherence tomography angiography |
title_sort |
developing a normative database for retinal perfusion using optical coherence tomography angiography |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/156182 |
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1731235719266959360 |