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dc.contributor.authorKolář, Radimcs
dc.contributor.authorTornow, Ralf-Petercs
dc.contributor.authorOdstrčilík, Jancs
dc.contributor.authorLabounková, Ivanacs
dc.date.accessioned2016-06-06T10:54:41Z
dc.date.available2016-06-06T10:54:41Z
dc.date.issued2016-05-20cs
dc.identifier.citationBIOMED ENG ONLINE. 2016, vol. 15, issue 57, p. 1-17.en
dc.identifier.issn1475-925Xcs
dc.identifier.other125580cs
dc.identifier.urihttp://hdl.handle.net/11012/60633
dc.description.abstractAnalysis of fast temporal changes on retinas has become an important part of diagnostic video-ophthalmology. It enables investigation of the hemodynamic processes in retinal tissue, e.g. blood-vessel diameter changes as a result of blood-pressure variation, spontaneous venous pulsation influenced by intracranial-intraocular pressure difference, blood-volume changes as a result of changes in light reflection from retinal tissue, and blood flow using laser speckle contrast imaging. For such applications, image registration of the recorded sequence must be performed. Here we use a new non-mydriatic video-ophthalmoscope for simple and fast acquisition of low SNR retinal sequences. We introduce a novel, two-step approach for fast image registration. The phase correlation in the first stage removes large eye movements. Lucas-Kanade tracking in the second stage removes small eye movements. We propose robust adaptive selection of the tracking points, which is the most important part of tracking-based approaches. We also describe a method for quantitative evaluation of the registration results, based on vascular tree intensity profiles.en
dc.formattextcs
dc.format.extent1-17cs
dc.format.mimetypeapplication/pdfcs
dc.language.isoencs
dc.publisherBioMed Centralcs
dc.relation.ispartofBIOMED ENG ONLINEcs
dc.relation.urihttp://biomedical-engineering-online.biomedcentral.com/articles/10.1186/s12938-016-0191-0cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectRetinal imagingen
dc.subjectVideo-ophthalmoscopyen
dc.subjectImage registrationen
dc.subjectTrackingen
dc.titleRegistration of retinal sequences from new video-ophthalmoscopic cameraen
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav biomedicínského inženýrstvícs
sync.item.dbidVAV-125580en
sync.item.dbtypeVAVen
sync.item.insts2019.08.08 16:54:26en
sync.item.modts2019.08.08 16:16:58en
dc.coverage.issue57cs
dc.coverage.volume15cs
dc.identifier.doi10.1186/s12938-016-0191-0cs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1475-925X/cs
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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Creative Commons Attribution 4.0 International
Except where otherwise noted, this item's license is described as Creative Commons Attribution 4.0 International