A digital subtraction radiography scheme based on automatic multiresolution registration

dc.contributor.author	Ζαχαράκη, Ευαγγελία Ι.	el
dc.contributor.author	Ματσόπουλος, Γεώργιος Κ.	el
dc.contributor.author	Ασβεστάς, Παντελής Α.	el
dc.contributor.author	Νικήτα, Κωνσταντίνα Σ.	el
dc.contributor.author	Gröndahl, K.	en
dc.date.accessioned	2015-01-13T10:46:14Z
dc.date.available	2015-01-13T10:46:14Z
dc.date.issued	2015-01-13
dc.identifier.uri	http://hdl.handle.net/11400/3918
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	The British Institute of Radiology	en
dc.subject	Image registration
dc.subject	Fusion
dc.subject	Εγγραφή εικόνας
dc.subject	Ένωση
dc.title	A digital subtraction radiography scheme based on automatic multiresolution registration	en
heal.type	journalArticle
heal.classification	Medicine
heal.classification	Ιατρική
heal.classification	Internal medicine
heal.classification	Εσωτερική παθολογία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI	N/AΙατρική
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85067347
heal.classificationURI	N/A-Εσωτερική παθολογία
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh2007005742
heal.contributorName	Gröndahl, H-G.	en
heal.identifier.secondary	doi: 10.1259/dmfr/21571843
heal.language	en
heal.access	free
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2004
heal.bibliographicCitation	Zacharaki, E., Matsopoulos, G., Asvestas, P., Nikita, K., Grondahl, K., et al. (2004). A digital subtraction radiography scheme based on automatic multiresolution registration. "Dentomaxillofacial Radiology". 33 (6). p. 1-12. Available from: http://www.birpublications.org/ [Accessed 28/01/2014]	en
heal.abstract	Objectives: To establish a digital subtraction radiography scheme for aligning clinical in vivo radiographs based on the implementations of an automatic geometric registration method and a contrast correction technique. Methods: Thirty-five pairs of in vivo dental radiographs from four clinical studies were used in this work. First, each image pair was automatically aligned by applying a multiresolution registration strategy using the affine transformation followed by the implementation of the projective transformation at full resolution. Then, a contrast correction technique was applied in order to produce subtraction radiographs and fused images for further clinical evaluation. The performance of the proposed registration method was assessed against a manual method based on the projective transformation. Results: The qualitative assessment of the experiments based on visual inspection has shown advantageous performance of the proposed automatic registration method against the manual method. Furthermore, the quantitative analysis showed statistical difference in terms of the root mean square (RMS) error estimated over the whole images and specific regions of interest. Conclusions: The proposed automatic geometric registration method is capable of aligning radiographs acquired with or without rigorous a priori standardization. The methodology is pixel-based and does not require the application of any segmentation process prior to alignment. The employed projective transformation provides a reliable model for registering intraoral radiographs. The implemented contrast correction technique sequentially applied provides subtraction radiographs and fused images for clinical evaluation regarding the evolution of a disease or the response to a therapeutic scheme.	en
heal.publisher	The British Institute of Radiology	en
heal.journalName	Dentomaxillofacial Radiology	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true