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dc.contributor.authorTang, Jianboen_US
dc.contributor.authorErdener, Sefik Evrenen_US
dc.contributor.authorSunil, Smrithien_US
dc.contributor.authorBoas, David A.en_US
dc.coverage.spatialUnited Statesen_US
dc.date2019-02-06
dc.date.accessioned2019-09-10T15:17:07Z
dc.date.available2019-09-10T15:17:07Z
dc.date.issued2019-03
dc.identifierhttps://www.ncbi.nlm.nih.gov/pubmed/30868803
dc.identifier.citationJianbo Tang, Sefik Evren Erdener, Smrithi Sunil, and David A. Boas "Normalized field autocorrelation function-based optical coherence tomography three-dimensional angiography," Journal of Biomedical Optics 24(3), 036005 (13 March 2019). https://doi.org/10.1117/1.JBO.24.3.036005
dc.identifier.issn1560-2281
dc.identifier.urihttps://hdl.handle.net/2144/37759
dc.description.abstractOptical coherence tomography angiography (OCTA) has been widely used for en face visualization of the microvasculature, but is challenged for real three-dimensional (3-D) topologic imaging due to the "tail" artifacts that appear below large vessels. Further, OCTA is generally incapable of differentiating descending arterioles from ascending venules. We introduce a normalized field autocorrelation function-based OCTA (g1-OCTA), which minimizes the tail artifacts and is capable of distinguishing penetrating arterioles from venules in the 3-D image. g1   (  τ  )   is calculated from repeated optical coherence tomography (OCT) acquisitions for each spatial location. The decay amplitude of g1   (  τ  )   is retrieved to represent the dynamics for each voxel. To account for the small g1   (  τ  )   decay in capillaries where red blood cells are flowing slowly and discontinuously, Intralipid is injected to enhance the OCT signal. We demonstrate that the proposed technique realizes 3-D OCTA with negligible tail projections and the penetrating arteries are readily identified. In addition, compared to regular OCTA, the proposed g1-OCTA largely increased the depth-of-field. This technique provides a more accurate rendering of the vascular 3-D anatomy and has the potential for more quantitative characterization of vascular networks.en_US
dc.description.sponsorshipP01 NS055104 - NINDS NIH HHS; R01 EB021018 - NIBIB NIH HHS; R01 NS108472 - NINDS NIH HHSen_US
dc.description.urihttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6414735/
dc.format.extent1 - 8en_US
dc.languageeng
dc.relation.ispartofJ Biomed Opt
dc.rights© The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI: 10.1117/1.JBO.24.3.036005.en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectNormalized autocorrelation functionen_US
dc.subjectOptical coherence tomography angiographyen_US
dc.subjectThree-dimensional vascular imagingen_US
dc.subjectVessel tail artifactsen_US
dc.subjectOptical physicsen_US
dc.subjectOpthalmology and optometryen_US
dc.subjectBiomedical engineeringen_US
dc.subjectOpticsen_US
dc.titleNormalized field autocorrelation function-based optical coherence tomography three-dimensional angiographyen_US
dc.typeArticleen_US
dc.identifier.doi10.1117/1.JBO.24.3.036005
pubs.elements-sourcepubmeden_US
pubs.organisational-groupBoston Universityen_US
pubs.organisational-groupBoston University, College of Engineeringen_US
pubs.organisational-groupBoston University, College of Engineering, Department of Biomedical Engineeringen_US
pubs.publication-statusPublisheden_US
dc.identifier.orcid0000-0002-6709-7711 (Boas, David A)
dc.description.oaversionPublished version
dc.identifier.mycv453683


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© The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI: 10.1117/1.JBO.24.3.036005.
Except where otherwise noted, this item's license is described as © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI: 10.1117/1.JBO.24.3.036005.