Please use this identifier to cite or link to this item: https://olympias.lib.uoi.gr/jspui/handle/123456789/10760
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dc.contributor.authorKrinidis, S.en
dc.contributor.authorNikou, C.en
dc.contributor.authorPitas, I.en
dc.date.accessioned2015-11-24T17:00:23Z-
dc.date.available2015-11-24T17:00:23Z-
dc.identifier.issn1089-7771-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/10760-
dc.rightsDefault Licence-
dc.subjectdeterministic optimizationen
dc.subjectimage registrationen
dc.subjectmisalignmenten
dc.subjectnonoverlapping structuresen
dc.subjectpixel similarity measureen
dc.subjectregistration erroren
dc.subjectserially acquired imagesen
dc.subjectreconstructionen
dc.subjectregistrationen
dc.subjectinformationen
dc.titleA global energy function for the alignment of serially acquired slicesen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.primaryDoi 10.1109/Titb.2003.811866-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικήςel
heal.publicationDate2003-
heal.abstractAn accurate, computationally efficient, and fully automated algorithm for the alignment of two-dimensional (2-D) serially acquired sections forming a three-dimensional (3-D) volume is presented. The approach relies on the optimization,of a global energy function, based on the object shape, measuring the similarity between a slice and its neighborhood in the 3-D volume. Slice similarity is computed using the distance transform measure in both directions. No particular direction is privileged in the method avoiding global offsets, biases in the estimation and error propagation. The method was evaluated on real images [medical, biological, and other computerized tomography (CT) scanned 3-D data] and the experimental results demonstrated its accuracy as reconstuction errors are less than one degree in rotation and less than one pixel in translation.en
heal.journalNameIeee Transactions on Information Technology in Biomedicineen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά)



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