Show simple item record

dc.contributor.authorKaya, Mert
dc.contributor.authorŞenel, Enes
dc.contributor.authorAhmad, Awais
dc.contributor.authorOrhan, Orçun
dc.contributor.authorBebek, Özkan
dc.date.accessioned2016-02-17T11:05:44Z
dc.date.available2016-02-17T11:05:44Z
dc.date.issued2015
dc.identifier.isbn978-1-4673-7509-2
dc.identifier.urihttp://hdl.handle.net/10679/2856
dc.identifier.urihttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=7251432
dc.descriptionDue to copyright restrictions, the access to the full text of this article is only available via subscription.
dc.description.abstractIn this paper, real-time needle tip tracking method using 2D ultrasound (US) images for robotic biopsies is presented. In this method, the needle tip is estimated with the Gabor filter based image processing algorithm, and the estimation noise is reduced with the Kalman filter. This paper also presents the needle tip tracking simulation to test accuracy of the Kalman filter under position misalignments and tissue deformations. In order to execute proposed method in real-time, the bin packing method is used and the processing time is reduced by 56%, without a GPU. The proposed method was tested in four different phantoms and water medium. The accuracy of the needle tip estimation was measured with optical tracking system, and root mean square error (RMS) of the tip position is found to be 1.17 mm. The experiments showed that the algorithm could track the needle tip in real-time.
dc.description.sponsorshipTÜBİTAK
dc.language.isoengen_US
dc.publisherIEEE
dc.relationinfo:turkey/grantAgreement/TUBITAK/112E312
dc.relation.ispartofAdvanced Robotics (ICAR), 2015 International Conference on
dc.rightsrestrictedAccess
dc.titleReal-time needle tip localization in 2D ultrasound images for robotic biopsiesen_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.startpage47
dc.identifier.endpage52
dc.identifier.wosWOS:000380471000008
dc.identifier.doi10.1109/ICAR.2015.7251432
dc.subject.keywordsGabor filters
dc.subject.keywordsBiological tissues
dc.subject.keywordsBiomechanics
dc.subject.keywordsBiomedical ultrasonics
dc.subject.keywordsDeformation
dc.subject.keywordsMean square error methods
dc.subject.keywordsMedical image processing
dc.subject.keywordsMedical robotics
dc.subject.keywordsNeedles
dc.subject.keywordsOptical tracking
dc.subject.keywordsPatient treatment
dc.subject.keywordsPhantoms
dc.identifier.scopusSCOPUS:2-s2.0-84957643435
dc.contributor.ozugradstudentKaya, Mert
dc.contributor.ozugradstudentŞenel, Enes
dc.contributor.ozugradstudentAhmad, Awais
dc.contributor.ozugradstudentOrhan, Orçun
dc.contributor.authorMale5
dc.relation.publicationcategoryConference Paper - International - Institutional Academic Staff and Graduate Student and Undergraduate Student


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record


Share this page