Interpolation of tomographic data using a self-similar approach

dc.contributor.author	Ασβεστάς, Παντελής Α.	el
dc.contributor.author	Σκευοφύλακας, Μάριος	el
dc.contributor.author	Ματσόπουλος, Γεώργιος Κ.	el
dc.contributor.author	Νικήτα, Κωνσταντίνα Σ.	el
dc.date.accessioned	2015-02-07T17:27:11Z
dc.date.available	2015-02-07T17:27:11Z
dc.date.issued	2015-02-07
dc.identifier.uri	http://hdl.handle.net/11400/5801
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://ieeexplore.ieee.org/	en
dc.subject	Interpolation
dc.subject	Tomographic data
dc.subject	Παρεμβολή
dc.subject	Τομογραφικά δεδομένα
dc.title	Interpolation of tomographic data using a self-similar approach	en
heal.type	conferenceItem
heal.generalDescription	Proceedings Annual International Conference of the IEEE Engineering in Medicine and Biology. vol.1.	en
heal.classification	Medicine
heal.classification	Medical technology
heal.classification	Ιατρική
heal.classification	Ιατρικά όργανα και εξοπλισμός
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI	http://skos.um.es/unescothes/C02465
heal.classificationURI	N/A-Ιατρική
heal.classificationURI	N/A-Ιατρικά όργανα και εξοπλισμός
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh85067492
heal.identifier.secondary	DOI: 10.1109/IEMBS.2003.1279914
heal.language	en
heal.access	campus
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2003
heal.bibliographicCitation	Asvestas, P., Skevofilakas, M., Matsopoulos, G. and Nikita, K. (2003). Interpolation of tomographic data using a self-similar approach. In the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology. vol. 1. pp. 914-917. IEEE. Available from: http://ieeexplore.ieee.org/	en
heal.abstract	In this paper, a new method for slice interpolation of a tomographic dataset is presented. The method exploits the self-similarity that exists in the dataset, namely a part of the dataset is a scaled down copy of another larger part of the set. According to the proposed method, the interpolated slice is created using information from the four nearest available slices. Initially, correspondences between points, belonging to a properly chosen pair of the available slices, are established. These correspondences are used to guide a procedure for creating a slice that is an approximation of the interpolated slice. The same procedure is applied for the other pair of slices resulting in another approximation of the interpolated slice. A weighted sum of the two approximations is used in order to create the final version of the interpolated slice. Quantitative and qualitative results stress the superior performance of the proposed method against other widely used interpolation methods.	en
heal.publisher	IEEE	en
heal.fullTextAvailability	true
heal.conferenceName	Annual International Conference of the IEEE Engineering in Medicine and Biology	en
heal.conferenceItemType	full paper