OCT-OCTA segmentation: combining structural and blood flow information to segment Bruch’s membrane
© 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement In this paper we present a fully automated graph-based segmentation algorithm that jointly uses optical coherence tomography (OCT) and OCT angiography (OCTA) data to segment Bruch's membrane (BM). This...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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The Optical Society
2022
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| Online Access: | https://hdl.handle.net/1721.1/143544 |
| _version_ | 1826214385892196352 |
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| author | Schottenhamml, Julia Moult, Eric M Ploner, Stefan B Chen, Siyu Novais, Eduardo Husvogt, Lennart Duker, Jay S Waheed, Nadia K Fujimoto, James G Maier, Andreas K |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Schottenhamml, Julia Moult, Eric M Ploner, Stefan B Chen, Siyu Novais, Eduardo Husvogt, Lennart Duker, Jay S Waheed, Nadia K Fujimoto, James G Maier, Andreas K |
| author_sort | Schottenhamml, Julia |
| collection | MIT |
| description | © 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement In this paper we present a fully automated graph-based segmentation algorithm that jointly uses optical coherence tomography (OCT) and OCT angiography (OCTA) data to segment Bruch's membrane (BM). This is especially valuable in cases where the spatial correlation between BM, which is usually not visible on OCT scans, and the retinal pigment epithelium (RPE), which is often used as a surrogate for segmenting BM, is distorted by pathology. We validated the performance of our proposed algorithm against manual segmentation in a total of 18 eyes from healthy controls and patients with diabetic retinopathy (DR), non-exudative age-related macular degeneration (AMD) (early/intermediate AMD, nascent geographic atrophy (nGA) and drusen-associated geographic atrophy (DAGA) and geographic atrophy (GA)), and choroidal neovascularization (CNV) with a mean absolute error of ∼0.91 pixel (∼4.1 µm). This paper suggests that OCT-OCTA segmentation may be a useful framework to complement the growing usage of OCTA in ophthalmic research and clinical communities. |
| first_indexed | 2024-09-23T16:04:15Z |
| format | Article |
| id | mit-1721.1/143544 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T16:04:15Z |
| publishDate | 2022 |
| publisher | The Optical Society |
| record_format | dspace |
| spelling | mit-1721.1/1435442023-01-20T16:36:53Z OCT-OCTA segmentation: combining structural and blood flow information to segment Bruch’s membrane Schottenhamml, Julia Moult, Eric M Ploner, Stefan B Chen, Siyu Novais, Eduardo Husvogt, Lennart Duker, Jay S Waheed, Nadia K Fujimoto, James G Maier, Andreas K Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Research Laboratory of Electronics © 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement In this paper we present a fully automated graph-based segmentation algorithm that jointly uses optical coherence tomography (OCT) and OCT angiography (OCTA) data to segment Bruch's membrane (BM). This is especially valuable in cases where the spatial correlation between BM, which is usually not visible on OCT scans, and the retinal pigment epithelium (RPE), which is often used as a surrogate for segmenting BM, is distorted by pathology. We validated the performance of our proposed algorithm against manual segmentation in a total of 18 eyes from healthy controls and patients with diabetic retinopathy (DR), non-exudative age-related macular degeneration (AMD) (early/intermediate AMD, nascent geographic atrophy (nGA) and drusen-associated geographic atrophy (DAGA) and geographic atrophy (GA)), and choroidal neovascularization (CNV) with a mean absolute error of ∼0.91 pixel (∼4.1 µm). This paper suggests that OCT-OCTA segmentation may be a useful framework to complement the growing usage of OCTA in ophthalmic research and clinical communities. 2022-06-22T18:09:54Z 2022-06-22T18:09:54Z 2021 2022-06-22T18:04:28Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/143544 Schottenhamml, Julia, Moult, Eric M, Ploner, Stefan B, Chen, Siyu, Novais, Eduardo et al. 2021. "OCT-OCTA segmentation: combining structural and blood flow information to segment Bruch’s membrane." Biomedical Optics Express, 12 (1). en 10.1364/BOE.398222 Biomedical Optics Express Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf The Optical Society Optica Publishing Group |
| spellingShingle | Schottenhamml, Julia Moult, Eric M Ploner, Stefan B Chen, Siyu Novais, Eduardo Husvogt, Lennart Duker, Jay S Waheed, Nadia K Fujimoto, James G Maier, Andreas K OCT-OCTA segmentation: combining structural and blood flow information to segment Bruch’s membrane |
| title | OCT-OCTA segmentation: combining structural and blood flow information to segment Bruch’s membrane |
| title_full | OCT-OCTA segmentation: combining structural and blood flow information to segment Bruch’s membrane |
| title_fullStr | OCT-OCTA segmentation: combining structural and blood flow information to segment Bruch’s membrane |
| title_full_unstemmed | OCT-OCTA segmentation: combining structural and blood flow information to segment Bruch’s membrane |
| title_short | OCT-OCTA segmentation: combining structural and blood flow information to segment Bruch’s membrane |
| title_sort | oct octa segmentation combining structural and blood flow information to segment bruch s membrane |
| url | https://hdl.handle.net/1721.1/143544 |
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