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dc.contributor.authorKaya, Mert
dc.contributor.authorŞenel, Enes
dc.contributor.authorAhmad, Awais
dc.contributor.authorBebek, Özkan
dc.date.accessioned2016-02-17T11:05:44Z
dc.date.available2016-02-17T11:05:44Z
dc.date.issued2016
dc.identifier.issn1050-4729
dc.identifier.urihttp://hdl.handle.net/10679/2857
dc.identifier.urihttp://ieeexplore.ieee.org/document/7487637/
dc.descriptionDue to copyright restrictions, the access to the full text of this article is only available via subscription.
dc.description.abstractUltrasound (US) is one the most commonly used medical imaging techniques in percutaneous needle procedures. However, US images are inherently noisy and contain excessive number of artifacts. Hence, it is not easy to track the needle tip in the US images during the needle insertions. At this point, image based visual tracking techniques can be used for needle tip tracking. This paper presents a method for visual tracking of biopsy needles in 2D US images using sum of squared differences and sum of conditional variances. Second order Gauss-Newton optimization is used to decrease processing time and make the tracking more robust. The needle template images used in the method are updated with a strategy to prevent needle loss and detection failures during tracking. The paper also explains how to identify needle losses during tracking and how to recover the needle position without using a needle localization algorithm. We demonstrate the precision of the visual needle tip tracking method with experiments under challenging tracking conditions.
dc.description.sponsorshipTÜBİTAK
dc.language.isoengen_US
dc.relationinfo:turkey/grantAgreement/TUBITAK/112E312
dc.relation.ispartofRobotics and Automation (ICRA), 2016 IEEE International Conference on
dc.rightsrestrictedAccess
dc.titleVisual tracking of biopsy needles in 2D ultrasound imagesen_US
dc.typeConference paperen_US
dc.peerreviewedyes
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.startpage4386
dc.identifier.endpage4391
dc.identifier.wosWOS:000389516203114
dc.identifier.doi10.1109/ICRA.2016.7487637
dc.identifier.scopusSCOPUS:2-s2.0-84977595699
dc.contributor.ozugradstudentKaya, Mert
dc.contributor.ozugradstudentŞenel, Enes
dc.contributor.ozugradstudentAhmad, Awais
dc.contributor.authorMale4
dc.relation.publicationcategoryConference Paper - International - Institutional Academic Staff and Graduate Student and Undergraduate Student


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