A comparative study of surface- and volume-based techniques for the automatic registration between CT and SPECT brain images

dc.contributor.author	Καγκάδης, Γεώργιος Χ.	el
dc.contributor.author	Δελήμπασης, Κωνσταντίνος Κ.	el
dc.contributor.author	Ματσόπουλος, Γεώργιος Κ.	el
dc.contributor.author	Μουραβλιάνσκυ, Νικόλαος Α.	el
dc.contributor.author	Ασβεστάς, Παντελής Α.	el
dc.date.accessioned	2015-01-13T10:01:32Z
dc.date.available	2015-01-13T10:01:32Z
dc.date.issued	2015-01-13
dc.identifier.uri	http://hdl.handle.net/11400/3915
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://scitation.aip.org/	en
dc.subject	Image registration
dc.subject	Communication
dc.subject	Εγγραφή εικόνας
dc.subject	Αμοιβαία πληροφόρηση
dc.title	A comparative study of surface- and volume-based techniques for the automatic registration between CT and SPECT brain images	en
heal.type	journalArticle
heal.classification	Medicine
heal.classification	Oncology
heal.classification	Ιατρική
heal.classification	Ογκολογία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85094724
heal.classificationURI	N/A-Ιατρική
heal.classificationURI	N/A-Ογκολογία
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh2007005742
heal.keywordURI	http://skos.um.es/unescothes/C00678
heal.contributorName	Νικηφορίδης, Γεώργιος Χ.	el
heal.identifier.secondary	DOI: 10.1118/1.1445412
heal.language	en
heal.access	free
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2002
heal.bibliographicCitation	Kagadis, G., Delibasis, K., Matsopoulos, G., Mouravliansky, N., Asvestas, P., et al. (February 2002). A comparative study of surface- and volume-based techniques for the automatic registration between CT and SPECT brain images. Medical Physics. 29(2). pp. 201-213. American Association of Physicists in Medicine.Available from: http://scitation.aip.org/ [Accessed 25/01/2002]	en
heal.abstract	Image registration of multimodality images is an essential task in numerous applications in three-dimensional medical image processing. Medical diagnosis can benefit from the complementary information in different modality images. Surface-based registration techniques, while still widely used, were succeeded by volume-based registration algorithms that appear to be theoretically advantageous in terms of reliability and accuracy. Several applications of such algorithms for the registration of CT-MRI, CT-PET, MRI-PET, and SPECT-MRI images have emerged in the literature, using local optimization techniques for the matching of images. Our purpose in this work is the development of automatic techniques for the registration of real CT and SPECT images, based on either surface- or volume-based algorithms. Optimization is achieved using genetic algorithms that are known for their robustness. The two techniques are compared against a well-established method, the Iterative Closest Point - ICP. The correlation coefficient was employed as an independent measure of spatial match, to produce unbiased results. The repeated measures ANOVA indicates the significant impact of the choice of registration method on the magnitude of the correlation (F = 4.968, p = 0.0396). The volume-based method achieves an average correlation coefficient value of 0.454 with a standard deviation of 0.0395, as opposed to an average of 0.380 with a standard deviation of 0.0603 achieved by the surface-based method and an average of 0.396 with a standard deviation equal to 0.0353 achieved by ICP. The volume-based technique performs significantly better compared to both ICP (p < 0.05, Neuman-Keuls test) and the surface-based technique (p < 0.05, Neuman-Keuls test). Surface-based registration and ICP do not differ significantly in performance. © 2002 American Association of Physicists in Medicine.	en
heal.publisher	American Association of Physicists in Medicine	en
heal.journalName	Medical Physics	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true