Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorΜατσόπουλος, Γεώργιος Κ.ell
dc.contributor.authorΔελήμπασης, Κωνσταντίνος Κ.ell
dc.contributor.authorΜουραβλιάνσκυ, Νικόλαος Α.ell
dc.contributor.authorΑσβεστάς, Παντελής Α.ell
dc.contributor.authorΝικήτα, Κωνσταντίνα Σ.ell
dc.identifier.citationMatsopoulos, K., Delibasis, K., Mouravliansky, N., Asvestas, P., Nikita, K., et al. (2003). CT-MRI automatic surface-based registration schemes combining global and local optimization techniques. Technology and Health Care. 11(4). pp. 219-232. IOS Press.eng
dc.description.abstractMedical image registration is commonly required in order to combine the complementary information provided by different medical imaging modalities. In this paper, a new automatic registration scheme is proposed to register 3-D CT-MR head images and is currently tested on a clinical environment. The proposed scheme, after the preprocessing and the outer surface extraction of the data, is based on the use the rigid transformation method, in conjunction with a combination of global and local optimization techniques. Analytically, the paper exploits the optimization efficiency of three widely used optimization techniques, in obtaining the parameters of the rigid transformation model: the Downhill Simplex Method, the Genetic Algorithms and the Simulated Annealing. These optimization techniques are further combined by the sequential application of the Powell optimization method in order to refine the registration and increase its accuracy. A comparative study involving these optimization techniques in conjunction with the rigid transformation, and two other methods, the ICP and the manual methods, is also presented, for a sufficient number of clinical CT-MR brain images. Finally, quantitative and qualitative results are also presented to validate the performance of these automatic surface-based registration schemes, in terms of consistency and accuracy. Throughout of this study, the automatic registration scheme comprising of the rigid transformation in conjunction with the Simulated Annealing method sequentially combined with the Powell method has been performed superior regarding all the other compared registration schemes.eng
dc.publisherIOS Presseng
dc.rightsΑναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες*
dc.subjectMedical image registration-
dc.subjectClinical environment-
dc.subjectΙατρική εικόνα-
dc.subjectΚλινικό περιβάλλον-
dc.titleCT-MRI automatic surface-based registration schemes combining global and local optimization techniqueseng
dc.typeΔημοσίευση σε περιοδικό-
heal.classificationMedical technology-
heal.classificationΙατρικά όργανα και εξοπλισμός-
heal.classificationURI**N/A**-Ιατρικά όργανα και εξοπλισμός-
heal.contributorNameΚουλουλιάς, Βασίλειος Ε.ell
heal.contributorNameΟυζούνογλου, Νικόλαος Κ.ell
heal.recordProviderΤ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.ell
heal.journalNameTechnology and Health Careeng
Appears in Collections:Δημοσιεύσεις

Files in This Item:
File Description SizeFormat 
CT-MRI automatic surface-based registration.pdf
  Restricted Access
177.04 kBAdobe PDFView/Open Request a copy

This item is licensed under a Creative Commons License Creative Commons