The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Retinal Imaging and Image Analysis
Open accessAbstract
Many important eye diseases as well as systemic diseases manifest themselves in the retina. While a number of other anatomical structures contribute to the process of vision, this review focuses on retinal imaging and image analysis. Following a brief overview of the most prevalent causes of blindness in the industrialized world that includes age-related macular degeneration, diabetic retinopathy, and glaucoma, the review is devoted to retinal imaging and image analysis methods and their clinical implications. Methods for 2-D fundus imaging and techniques for 3-D optical coherence tomography (OCT) imaging are reviewed. Special attention is given to quantitative techniques for analysis of fundus photographs with a focus on clinically relevant assessment of retinal vasculature, identification of retinal lesions, assessment of optic nerve head (ONH) shape, building retinal atlases, and to automated methods for population screening for retinal diseases. A separate section is devoted to 3-D analysis of OCT images, describing methods for segmentation and analysis of retinal layers, retinal vasculature, and 2-D/3-D detection of symptomatic exudate-associated derangements, as well as to OCT-based analysis of ONH morphology and shape. Throughout the paper, aspects of image acquisition, image analysis, and clinical relevance are treated together considering their mutually interlinked relationships.
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Cites
Distinctive Image Features from Scale-Invariant Keypoints
Lowe, D. G. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029664.99615.94 · Cited by 55,589
Ranibizumab for Neovascular Age-Related Macular Degeneration
Rosenfeld, P. J., Brown, D. M., Heier, J. S., Boyer, D. S., Kaiser, P. K., Chung, C. Y., & Kim, R. Y. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa054481 · Cited by 5,886
Powell, M. J. D. (1964) · The Computer Journal · doi:10.1093/comjnl/7.2.155 · Cited by 4,632 · cited 1×
“As an example, the RADIC model [179] parameters are estimated during an optimization step that uses Powell’s method [180] and is driven by the vessel center line distance (see also Section IV-C).”
Ridge-based vessel segmentation in color images of the retina
Staal, J., Abramoff, M. D., Niemeijer, M., Viergever, M. A., & van Ginneken, B. (2004) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2004.825627 · Cited by 4,202
Ranibizumab versus Verteporfin for Neovascular Age-Related Macular Degeneration
Brown, D. M., Kaiser, P. K., Michels, M., Soubrane, G., Heier, J. S., Kim, R. Y., Sy, J. P., & Schneider, S. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa062655 · Cited by 3,522
Argon Laser Photocoagulation for Senile Macular Degeneration: Results of a Randomized Clinical Trial
(1982) · Archives of Ophthalmology · doi:10.1001/archopht.1982.01030030920003 · Cited by 405
Retina Mosaicing Using Local Features
Cattin, P. C., Bay, H., Van Gool, L., & Székely, G. (2006) · Lecture Notes in Computer Science · doi:10.1007/11866763_23 · Cited by 75
Cited by
Orlando, J. I., Fu, H., Barbosa Breda, J., van Keer, K., Bathula, D. R., Diaz-Pinto, A., Fang, R., Heng, P.-A., Kim, J., Lee, J., et al. (2020) · Medical Image Analysis · doi:10.1016/j.media.2019.101570 · Cited by 855
Artificial intelligence in retina
Schmidt-Erfurth, U., Sadeghipour, A., Gerendas, B. S., Waldstein, S. M., & Bogunović, H. (2018) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2018.07.004 · Cited by 779
van Grinsven, M. J. J. P., van Ginneken, B., Hoyng, C. B., Theelen, T., & Sanchez, C. I. (2016) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2016.2526689 · Cited by 426
Christopher, M., Belghith, A., Bowd, C., Proudfoot, J. A., Goldbaum, M. H., Weinreb, R. N., Girkin, C. A., Liebmann, J. M., & Zangwill, L. M. (2018) · Scientific Reports · doi:10.1038/s41598-018-35044-9 · Cited by 328
An ensemble-based system for automatic screening of diabetic retinopathy
Antal, B., & Hajdu, A. (2014) · Knowledge-Based Systems · doi:10.1016/j.knosys.2013.12.023 · Cited by 256
Metadata
- Authors
- Abramoff, M. D., Garvin, M. K., & Sonka, M.
- Venue
- IEEE Reviews in Biomedical Engineering
- Published
- 2010
- Volume
- 3
- Pages
- 169-208
- ISSN
- 1937-3333 (ISSN-L)
- 1941-1189
- OpenAlex
- W2100756624
- Cited by
- 1,439
- References
- 8
- FWCI
- 19.29
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
