Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.2773
DC FieldValueLanguage
dc.contributor.authorSchlüter, Matthias-
dc.contributor.authorGlandorf, Lukas-
dc.contributor.authorGromniak, Martin-
dc.contributor.authorSaathoff, Thore-
dc.contributor.authorSchlaefer, Alexander-
dc.date.accessioned2020-05-15T08:52:56Z-
dc.date.available2020-05-15T08:52:56Z-
dc.date.issued2020-05-08-
dc.identifierdoi: 10.3390/s20092678-
dc.identifier.citationSensors 20 (9): 2678 (2020)de_DE
dc.identifier.issn1424-8220de_DE
dc.identifier.urihttp://hdl.handle.net/11420/6155-
dc.description.abstractOptical tracking systems are widely used, for example, to navigate medical interventions. Typically, they require the presence of known geometrical structures, the placement of artificial markers, or a prominent texture on the target’s surface. In this work, we propose a 6D tracking approach employing volumetric optical coherence tomography (OCT) images. OCT has a micrometer-scale resolution and employs near-infrared light to penetrate few millimeters into, for example, tissue. Thereby, it provides sub-surface information which we use to track arbitrary targets, even with poorly structured surfaces, without requiring markers. Our proposed system can shift the OCT’s field-of-view in space and uses an adaptive correlation filter to estimate the motion at multiple locations on the target. This allows one to estimate the target’s position and orientation. We show that our approach is able to track translational motion with root-mean-squared errors below 0.25 mm and in-plane rotations with errors below 0.3°. For out-of-plane rotations, our prototypical system can achieve errors around 0.6°.en
dc.description.sponsorshippartially funded by Forschungszentrum Medizintechnik Hamburgde_DE
dc.language.isoende_DE
dc.publisherMultidisciplinary Digital Publishing Institutede_DE
dc.relation.ispartofSensorsde_DE
dc.rightsCC BY 4.0de_DE
dc.subjectmarkerless trackingde_DE
dc.subjecttracking systemsde_DE
dc.subjectoptical coherence tomographyde_DE
dc.subjectmotion estimationde_DE
dc.subject.ddc620: Ingenieurwissenschaftende_DE
dc.titleConcept for Markerless 6D Tracking Employing Volumetric Optical Coherence Tomographyde_DE
dc.typeArticlede_DE
dc.date.updated2020-05-14T13:55:25Z-
dc.identifier.doi10.15480/882.2773-
dc.type.diniarticle-
dcterms.DCMITypeText-
tuhh.identifier.urnurn:nbn:de:gbv:830-882.091489-
tuhh.oai.showtruede_DE
tuhh.abstract.englishOptical tracking systems are widely used, for example, to navigate medical interventions. Typically, they require the presence of known geometrical structures, the placement of artificial markers, or a prominent texture on the target’s surface. In this work, we propose a 6D tracking approach employing volumetric optical coherence tomography (OCT) images. OCT has a micrometer-scale resolution and employs near-infrared light to penetrate few millimeters into, for example, tissue. Thereby, it provides sub-surface information which we use to track arbitrary targets, even with poorly structured surfaces, without requiring markers. Our proposed system can shift the OCT’s field-of-view in space and uses an adaptive correlation filter to estimate the motion at multiple locations on the target. This allows one to estimate the target’s position and orientation. We show that our approach is able to track translational motion with root-mean-squared errors below 0.25 mm and in-plane rotations with errors below 0.3°. For out-of-plane rotations, our prototypical system can achieve errors around 0.6°.de_DE
tuhh.publisher.doidoi: 10.3390/s20092678-
tuhh.publication.instituteMedizintechnische Systeme E-1de_DE
tuhh.identifier.doi10.15480/882.2773-
tuhh.type.opus(wissenschaftlicher) Artikel-
dc.type.driverarticle-
dc.rights.cchttps://creativecommons.org/licenses/by/4.0/de_DE
dc.type.casraiJournal Article-
tuhh.container.volume20de_DE
tuhh.container.startpage18 Seitende_DE
dc.rights.nationallicensefalsede_DE
tuhh.container.articlenumber2678de_DE
local.status.inpressfalsede_DE
item.languageiso639-1en-
item.cerifentitytypePublications-
item.creatorGNDSchlüter, Matthias-
item.creatorGNDGlandorf, Lukas-
item.creatorGNDGromniak, Martin-
item.creatorGNDSaathoff, Thore-
item.creatorGNDSchlaefer, Alexander-
item.grantfulltextopen-
item.creatorOrcidSchlüter, Matthias-
item.creatorOrcidGlandorf, Lukas-
item.creatorOrcidGromniak, Martin-
item.creatorOrcidSaathoff, Thore-
item.creatorOrcidSchlaefer, Alexander-
item.fulltextWith Fulltext-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
crisitem.author.deptMedizintechnische Systeme E-1-
crisitem.author.deptMedizintechnische Systeme E-1-
crisitem.author.deptMedizintechnische Systeme E-1-
crisitem.author.deptMedizintechnische Systeme E-1-
crisitem.author.orcid0000-0002-2019-1102-
crisitem.author.parentorgStudiendekanat Elektrotechnik, Informatik und Mathematik-
crisitem.author.parentorgStudiendekanat Elektrotechnik, Informatik und Mathematik-
crisitem.author.parentorgStudiendekanat Elektrotechnik, Informatik und Mathematik-
crisitem.author.parentorgStudiendekanat Elektrotechnik, Informatik und Mathematik-
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