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dc.contributor.authorEsmaeelpour, Marieh
dc.contributor.authorKajic, Vedran
dc.contributor.authorZabihian, Behrooz
dc.contributor.authorOthara, Richu
dc.contributor.authorAnsari-Shahrezaei, Siamak
dc.contributor.authorKellner, Lukas
dc.contributor.authorKrebs, Ilse
dc.contributor.authorNemetz, Susanne
dc.contributor.authorKraus, Martin Franz Georg
dc.contributor.authorHornegger, Joachim
dc.contributor.authorFujimoto, James G.
dc.contributor.authorDrexler, Wolfgang
dc.contributor.authorBinder, Susanne
dc.date.accessioned2014-06-20T14:20:34Z
dc.date.available2014-06-20T14:20:34Z
dc.date.issued2014-06
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/1721.1/88042
dc.description.abstractObjectives: To examine the feasibility of automatically segmented choroidal vessels in three-dimensional (3D) 1060-nmOCT by testing repeatability in healthy and AMD eyes and by mapping Haller's and Sattler's layer thickness in healthy eyes Methods: Fifty-five eyes (from 45 healthy subjects and 10 with non-neovascular age-related macular degeneration (AMD) subjects) were imaged by 3D-1060-nmOCT over a 36°x36° field of view. Haller's and Sattler's layer were automatically segmented, mapped and averaged across the Early Treatment Diabetic Retinopathy Study grid. For ten AMD eyes and ten healthy eyes, imaging was repeated within the same session and on another day. Outcomes were the repeatability agreement of Haller's and Sattler's layer thicknesses in healthy and AMD eyes, the validation with ICGA and the statistical analysis of the effect of age and axial eye length (AL) on both healthy choroidalsublayers. Results: The coefficients of repeatability for Sattler's and Haller's layers were 35% and 21% in healthy eyes and 44% and 31% in AMD eyes, respectively. The mean±SD healthy central submacular field thickness for Sattler's and Haller's was 87±56 µm and 141±50 µm, respectively, with a significant relationship for AL (P<.001). Conclusions: Automated Sattler's and Haller's thickness segmentation generates rapid 3D measurements with a repeatability correspondingto reported manual segmentation. Sublayers in healthy eyes thinnedsignificantly with increasing AL. In the presence of the thinned Sattler's layer in AMD, careful measurement interpretation is needed. Automatic choroidal vascular layer mapping may help to explain if pathological choroidal thinning affects medium and large choroidal vasculature in addition to choriocapillaris loss.en_US
dc.description.sponsorshipMacular Vision Research Foundationen_US
dc.description.sponsorshipMedical University of Viennaen_US
dc.description.sponsorshipEuropean Union (project FUN OCT (FP7 HEALTH, contract no. 201880))en_US
dc.description.sponsorshipEuropean Union (FAMOS (FP7 ICT 317744))en_US
dc.description.sponsorshipEuropean Union (FWF-NFN ‘Photoacoustic imaging in biology and Medicine’, Oesterreichische Nationalbank Jubilaumsfonds projekt (14294))en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (NIH R01-EY011289-27)en_US
dc.description.sponsorshipDeutsche Forschungsgemeinschaft (DFG-GSC80-SAOT)en_US
dc.description.sponsorshipDeutsche Forschungsgemeinschaft (DFG-GSC80-SAOT, DFG-HO-1791/11-1)en_US
dc.description.sponsorshipCarl Zeiss Meditec, Inc.en_US
dc.description.sponsorshipFEMTOLASERS (Firm)en_US
dc.description.sponsorshipChristian Doppler Societyen_US
dc.language.isoen_US
dc.publisherPublic Library of Scienceen_US
dc.relation.isversionofhttp://dx.doi.org/10.1371/journal.pone.0099690en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourcePublic Library of Scienceen_US
dc.titleChoroidal Haller's and Sattler's Layer Thickness Measurement Using 3-Dimensional 1060-nm Optical Coherence Tomographyen_US
dc.typeArticleen_US
dc.identifier.citationEsmaeelpour, Marieh, Vedran Kajic, Behrooz Zabihian, Richu Othara, Siamak Ansari-Shahrezaei, Lukas Kellner, Ilse Krebs, et al. “Choroidal Haller’s and Sattler’s Layer Thickness Measurement Using 3-Dimensional 1060-Nm Optical Coherence Tomography.” Edited by Zsolt Ablonczy. PLoS ONE 9, no. 6 (June 9, 2014): e99690.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorFujimoto, James G.en_US
dc.relation.journalPLoS ONEen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsEsmaeelpour, Marieh; Kajic, Vedran; Zabihian, Behrooz; Othara, Richu; Ansari-Shahrezaei, Siamak; Kellner, Lukas; Krebs, Ilse; Nemetz, Susanne; Kraus, Martin F.; Hornegger, Joachim; Fujimoto, James G.; Drexler, Wolfgang; Binder, Susanneen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-0828-4357
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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