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dc.contributor.authorDemircan Türeyen, Ezgi
dc.contributor.authorKamaşak, Mustafa Erşel
dc.date.accessioned2018-07-16T14:00:40Z
dc.date.available2018-07-16T14:00:40Z
dc.date.issued2015
dc.identifier.isbn978-1-4244-9270-1
dc.identifier.issn1557-170X
dc.identifier.urihttps://hdl.handle.net/11413/2118
dc.identifier.urihttps://doi.org/10.1109/EMBC.2015.7320125
dc.description.abstractDiscrete tomography (DT) techniques are capable of computing better results, even using less number of projections than the continuous tomography techniques. Discrete Algebraic Reconstruction Technique (DART) is an iterative reconstruction method proposed to achieve this goal by exploiting a prior knowledge on the gray levels and assuming that the scanned object is composed from a few different densities. In this paper, DART method is combined with an initial total variation minimization (TvMin) phase to ensure a better initial guess and extended with a segmentation procedure in which the threshold values are estimated from a finite set of candidates to minimize both the projection error and the total variation (TV) simultaneously. The accuracy and the robustness of the algorithm is compared with the original DART by the simulation experiments which are done under (1) limited number of projections, (2) limited view problem and (3) noisy projections conditions.tr_TR
dc.language.isoen_UStr_TR
dc.publisherIEEE, 345 E 47th St, New York, Ny 10017 USAtr_TR
dc.relation2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)tr_TR
dc.subjectDiscrete Tomographytr_TR
dc.subjectimage reconstructiontr_TR
dc.subjectalgebraic reconstruction techniquestr_TR
dc.subjectglobal thresholdingtr_TR
dc.subjectcompressed sensingtr_TR
dc.subjecttotal variation minimizationtr_TR
dc.subjectArttr_TR
dc.titleA compressed sensing based approach on discrete algebraic reconstruction techniquetr_TR
dc.typeArticletr_TR
dc.contributor.authorID237397tr_TR
dc.contributor.authorID27148tr_TR
dc.identifier.wos371717207190
dc.identifier.wos371717207190en
dc.identifier.scopus2-s2.0-84953241772
dc.identifier.scopus2-s2.0-84953241772en


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