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dc.contributor.authorKaya, M.
dc.contributor.authorSenel, E.
dc.contributor.authorBebek, Özkan
dc.date.accessioned2021-02-05T12:46:07Z
dc.date.available2021-02-05T12:46:07Z
dc.date.issued2020
dc.identifier.issn1300-0632en_US
dc.identifier.urihttp://hdl.handle.net/10679/7268
dc.identifier.urihttps://journals.tubitak.gov.tr/elektrik/abstract.htm?id=27978
dc.description.abstract2D ultrasound (US) is one of the most commonly used medical imaging devices for needle localization in biopsies. However, the produced images are low-resolution and contain an excessive number of artifacts, which makes the needle localization challenging. Image processing techniques can help resolve this issue. This paper presents a novel Gabor filter-based method for needle localization in 2D US images, which enhances the needle outline in the images while suppressing other structures. The scheme works in two stages: First, the Gabor filter is applied to the image, the needle insertion angle is estimated, and the needle trajectory is found using a RANSAC line fitting; then, the Gabor filter is repeated using the estimated insertion angle and the location of the needle tip is estimated using probability mapping. The proposed scheme works with both straight and curved needles. An automatic parameter tuning method, which is used to optimize the threshold value of the Otsu's method, is also presented here. The tests on this needle localization scheme were done using two different water mixtures, three different gelatin-based phantoms, and ex vivo experiments. The accuracy was assessed using an infrared-camera-based tracking sensor and computed tomography images. The results showed that the suggested localization scheme can be effectively used in the 2D US image-guided needle procedures.en_US
dc.description.sponsorshipTÜBİTAK
dc.language.isoengen_US
dc.publisherTÜBİTAKen_US
dc.relationinfo:turkey/grantAgreement/TUBITAK/112E312
dc.relation.ispartofTurkish Journal of Electrical Engineering and Computer Sciences
dc.rightsopenAccess
dc.titleGabor filter-based localization of straight and curved needles in 2D ultrasound imagesen_US
dc.typeArticleen_US
dc.description.versionPublisher versionen_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.volume28en_US
dc.identifier.issue5en_US
dc.identifier.startpage2940en_US
dc.identifier.endpage2955en_US
dc.identifier.wosWOS:000576681600006
dc.identifier.doi10.3906/elk-1912-181en_US
dc.subject.keywordsRobotic assisted biopsyen_US
dc.subject.keywordsGabor filteren_US
dc.subject.keywordsCurved needleen_US
dc.subject.keywordsShape visualizationen_US
dc.subject.keywordsUltrasound image processingen_US
dc.identifier.scopusSCOPUS:2-s2.0-85095793102
dc.contributor.authorMale1
dc.relation.publicationcategoryArticle - International Refereed Journal - Institutional Academic Staff


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