| dc.contributor.author | De Pretto, Lucas R. | |
| dc.contributor.author | Moult, Eric Michael | |
| dc.contributor.author | Carrasco-Zevallos, Oscar M. | |
| dc.contributor.author | Chen, Siyu | |
| dc.contributor.author | Lee, ByungKun | |
| dc.contributor.author | Fujimoto, James G | |
| dc.date.accessioned | 2020-03-25T13:55:53Z | |
| dc.date.available | 2020-03-25T13:55:53Z | |
| dc.date.issued | 2019-06-24 | |
| dc.identifier.issn | 2045-2322 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/124313 | |
| dc.description.abstract | The recent clinical adoption of optical coherence tomography (OCT) angiography (OCTA) has enabled non-invasive, volumetric visualization of ocular vasculature at micron-scale resolutions. Initially limited to 3 mm × 3 mm and 6 mm × 6 mm fields-of-view (FOV), commercial OCTA systems now offer 12 mm × 12 mm, or larger, imaging fields. While larger FOVs promise a more complete visualization of retinal disease, they also introduce new challenges to the accurate and reliable interpretation of OCTA data. In particular, because of vignetting, wide-field imaging increases occurrence of low-OCT-signal artifacts, which leads to thresholding and/or segmentation artifacts, complicating OCTA analysis. This study presents theoretical and case-based descriptions of the causes and effects of low-OCT-signal artifacts. Through these descriptions, we demonstrate that OCTA data interpretation can be ambiguous if performed without consulting corresponding OCT data. Furthermore, using wide-field non-perfusion analysis in diabetic retinopathy as a model widefield OCTA usage-case, we show how qualitative and quantitative analysis can be confounded by low-OCT-signal artifacts. Based on these results, we suggest methods and best-practices for preventing and managing low-OCT-signal artifacts, thereby reducing errors in OCTA quantitative analysis of non-perfusion and improving reproducibility. These methods promise to be especially important for longitudinal studies detecting progression and response to therapy. | en_US |
| dc.description.sponsorship | National Institutes of Health (U.S.) (NIH 5-R01-EY011289-31) | en_US |
| dc.description.sponsorship | National Institutes of Health (U.S.) (AFOSR FA9550-15-1-0473) | en_US |
| dc.description.sponsorship | Fundação de Amparo à Pesquisa do Estado de São Paulo (Grant No. 2016/17342-0) | en_US |
| dc.description.sponsorship | Fundação de Amparo à Pesquisa do Estado de São Paulo (Grant No. 2015/15775-3) | en_US |
| dc.language.iso | en | |
| dc.publisher | Springer Science and Business Media LLC | en_US |
| dc.relation.isversionof | 10.1038/s41598-019-43958-1 | en_US |
| dc.rights | Creative Commons Attribution 4.0 International license | en_US |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
| dc.source | Scientific Reports | en_US |
| dc.title | Controlling for Artifacts in Widefield Optical Coherence Tomography Angiography Measurements of Non-Perfusion Area | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | De Pretto, Lucas R. et al. "Controlling for Artifacts in Widefield Optical Coherence Tomography Angiography Measurements of Non-Perfusion Area." Scientific reports 9 (2019): 9096 © 2019 The Author(s) | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Research Laboratory of Electronics | en_US |
| dc.relation.journal | Scientific reports | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dc.date.updated | 2020-02-20T16:24:25Z | |
| dspace.date.submission | 2020-02-20T16:24:27Z | |
| mit.journal.volume | 9 | en_US |
| mit.journal.issue | 1 | en_US |
| mit.license | PUBLISHER_CC | |
| mit.metadata.status | Complete | |