Correction propagation for user-assisted optical coherence tomography segmentation: general framework and application to Bruch’s membrane segmentation
Optical coherence tomography (OCT) is a commonly used ophthalmic imaging modality. While OCT has traditionally been viewed cross-sectionally (i.e., as a sequence of B-scans), higher A-scan rates have increased interest in en face OCT visualization and analysis. The recent clinical introduction of OC...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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The Optical Society
2021
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| Online Access: | https://hdl.handle.net/1721.1/129580 |
| _version_ | 1826216934962626560 |
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| author | Stromer, Daniel Johann Moult, Eric Michael Chen, Siyu Fujimoto, James G |
| author2 | Massachusetts Institute of Technology. Research Laboratory of Electronics |
| author_facet | Massachusetts Institute of Technology. Research Laboratory of Electronics Stromer, Daniel Johann Moult, Eric Michael Chen, Siyu Fujimoto, James G |
| author_sort | Stromer, Daniel Johann |
| collection | MIT |
| description | Optical coherence tomography (OCT) is a commonly used ophthalmic imaging modality. While OCT has traditionally been viewed cross-sectionally (i.e., as a sequence of B-scans), higher A-scan rates have increased interest in en face OCT visualization and analysis. The recent clinical introduction of OCT angiography (OCTA) has further spurred this interest, with chorioretinal OCTA being predominantly displayed via en face projections. Although en face visualization and quantitation are natural for many retinal features (e.g., drusen and vasculature), it requires segmentation. Because manual segmentation of volumetric OCT data is prohibitively laborious in many settings, there has been significant research and commercial interest in developing automatic segmentation algorithms. While these algorithms have achieved impressive results, the variability of image qualities and the variety of ocular pathologies cause even the most robust automatic segmentation algorithms to err. In this study, we develop a user-assisted segmentation approach, complementary to fully-automatic methods, wherein correction propagation is used to reduce the burden of manually correcting automatic segmentations. The approach is evaluated for Bruch’s membrane segmentation in eyes with advanced age-related macular degeneration. |
| first_indexed | 2024-09-23T16:55:29Z |
| format | Article |
| id | mit-1721.1/129580 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T16:55:29Z |
| publishDate | 2021 |
| publisher | The Optical Society |
| record_format | dspace |
| spelling | mit-1721.1/1295802022-10-03T09:11:46Z Correction propagation for user-assisted optical coherence tomography segmentation: general framework and application to Bruch’s membrane segmentation Stromer, Daniel Johann Moult, Eric Michael Chen, Siyu Fujimoto, James G Massachusetts Institute of Technology. Research Laboratory of Electronics Massachusetts Institute of Technology. Institute for Medical Engineering & Science Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Optical coherence tomography (OCT) is a commonly used ophthalmic imaging modality. While OCT has traditionally been viewed cross-sectionally (i.e., as a sequence of B-scans), higher A-scan rates have increased interest in en face OCT visualization and analysis. The recent clinical introduction of OCT angiography (OCTA) has further spurred this interest, with chorioretinal OCTA being predominantly displayed via en face projections. Although en face visualization and quantitation are natural for many retinal features (e.g., drusen and vasculature), it requires segmentation. Because manual segmentation of volumetric OCT data is prohibitively laborious in many settings, there has been significant research and commercial interest in developing automatic segmentation algorithms. While these algorithms have achieved impressive results, the variability of image qualities and the variety of ocular pathologies cause even the most robust automatic segmentation algorithms to err. In this study, we develop a user-assisted segmentation approach, complementary to fully-automatic methods, wherein correction propagation is used to reduce the burden of manually correcting automatic segmentations. The approach is evaluated for Bruch’s membrane segmentation in eyes with advanced age-related macular degeneration. National Eye Institute (Grant R01-EY011289) 2021-01-27T18:48:25Z 2021-01-27T18:48:25Z 2020-05 2020-04 2020-12-14T20:25:50Z Article http://purl.org/eprint/type/JournalArticle 2156-7085 https://hdl.handle.net/1721.1/129580 Stromer, Daniel et al. “Correction propagation for user-assisted optical coherence tomography segmentation: general framework and application to Bruch’s membrane segmentation.” Biomedical Optics Express, 11, 5 (May 2020): 392759 © 2020 The Author(s) en 10.1364/BOE.392759 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 OSA Publishing |
| spellingShingle | Stromer, Daniel Johann Moult, Eric Michael Chen, Siyu Fujimoto, James G Correction propagation for user-assisted optical coherence tomography segmentation: general framework and application to Bruch’s membrane segmentation |
| title | Correction propagation for user-assisted optical coherence tomography segmentation: general framework and application to Bruch’s membrane segmentation |
| title_full | Correction propagation for user-assisted optical coherence tomography segmentation: general framework and application to Bruch’s membrane segmentation |
| title_fullStr | Correction propagation for user-assisted optical coherence tomography segmentation: general framework and application to Bruch’s membrane segmentation |
| title_full_unstemmed | Correction propagation for user-assisted optical coherence tomography segmentation: general framework and application to Bruch’s membrane segmentation |
| title_short | Correction propagation for user-assisted optical coherence tomography segmentation: general framework and application to Bruch’s membrane segmentation |
| title_sort | correction propagation for user assisted optical coherence tomography segmentation general framework and application to bruch s membrane segmentation |
| url | https://hdl.handle.net/1721.1/129580 |
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