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dc.contributor.authorKaya, M.
dc.contributor.authorŞenel, E.
dc.contributor.authorAhmad, A.
dc.contributor.authorBebek, Özkan
dc.date.accessioned2020-08-18T14:24:04Z
dc.date.available2020-08-18T14:24:04Z
dc.date.issued2019-02
dc.identifier.issn0957-4158en_US
dc.identifier.urihttp://hdl.handle.net/10679/6788
dc.identifier.urihttps://www.sciencedirect.com/science/article/abs/pii/S0957415818301910
dc.description.abstractPercutaneous needle procedures are among the most frequently performed minimally invasive surgical procedure. For tracking the needle tip in the tissue, 2D ultrasound (US) imaging is commonly used; however, the low resolution of the images creates a challenge for tracking. This paper describes a robotic system that can perform US image guided biopsies by tracking the needle and the target simultaneously. It uses a template-based visual tracking method for small and deformable targets. During the experiments, a needle was inserted into realistic phantoms using a 5-DOF robot. The 2D US probe was held by a robotic arm that was servoed along the needle path. The 3D shape of the needle was estimated using the 2D transverse US images, which was used to align the needle axis with the 2D imaging plane. The accuracy of the visual needle tip tracking was evaluated using an optical tracking system, and a computed tomography scanner was used to determine the accuracy of the 3D needle shape estimation method. Target reaching accuracies were measured using an electromagnetic tracking system. The results of the experiments showed that the proposed system can track the needle tip in 2D US guided needle procedures in real-time with a sub-millimeter positional error.en_US
dc.description.sponsorshipTÜBİTAK
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relationinfo:turkey/grantAgreement/TUBITAK/112E312
dc.relation.ispartofMechatronics
dc.rightsrestrictedAccess
dc.titleVisual needle tip tracking in 2D US guided robotic interventionsen_US
dc.typeArticleen_US
dc.peerreviewedyesen_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0003-2721-9777 & YÖK ID 43734) Bebek, Özkan
dc.contributor.ozuauthorBebek, Özkan
dc.identifier.volume57en_US
dc.identifier.startpage129en_US
dc.identifier.endpage139en_US
dc.identifier.wosWOS:000458589400011
dc.identifier.doi10.1016/j.mechatronics.2018.12.002en_US
dc.subject.keywordsRobotic biopsyen_US
dc.subject.keywords2D ultrasounden_US
dc.subject.keywordsVisual trackingen_US
dc.subject.keywordsNeedle tipen_US
dc.subject.keywords3D needle shape visualizationen_US
dc.identifier.scopusSCOPUS:2-s2.0-85058491616
dc.contributor.authorMale1
dc.relation.publicationcategoryArticle - International Refereed Journal - Institution Academic Staff


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