A digital subtraction radiography scheme based on automatic multiresolution registration

Zacharaki, EI; Matsopoulos, GK; Asvestas, PA; Nikita, KS; Grondahl, K; Grondahl, H-G

dc.contributor.author	Zacharaki, EI	en
dc.contributor.author	Matsopoulos, GK	en
dc.contributor.author	Asvestas, PA	en
dc.contributor.author	Nikita, KS	en
dc.contributor.author	Grondahl, K	en
dc.contributor.author	Grondahl, H-G	en
dc.date.accessioned	2014-03-01T01:19:44Z
dc.date.available	2014-03-01T01:19:44Z
dc.date.issued	2004	en
dc.identifier.issn	0250-832X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15686
dc.subject	Contrast correction	en
dc.subject	Fusion	en
dc.subject	Image registration	en
dc.subject	Projective transformation	en
dc.subject	Subtraction radiography	en
dc.subject.classification	Dentistry, Oral Surgery & Medicine	en
dc.subject.classification	Radiology, Nuclear Medicine & Medical Imaging	en
dc.subject.other	antiinfective agent	en
dc.subject.other	algorithm	en
dc.subject.other	animal experiment	en
dc.subject.other	article	en
dc.subject.other	case report	en
dc.subject.other	digital subtraction angiography	en
dc.subject.other	dog	en
dc.subject.other	follow up	en
dc.subject.other	human	en
dc.subject.other	nonhuman	en
dc.subject.other	osteolysis	en
dc.subject.other	tooth radiography	en
dc.subject.other	Algorithms	en
dc.subject.other	Contrast Media	en
dc.subject.other	Humans	en
dc.subject.other	Image Processing, Computer-Assisted	en
dc.subject.other	Radiography, Dental, Digital	en
dc.subject.other	Regression Analysis	en
dc.subject.other	Subtraction Technique	en
dc.title	A digital subtraction radiography scheme based on automatic multiresolution registration	en
heal.type	journalArticle	en
heal.identifier.primary	10.1259/dmfr/21571843	en
heal.identifier.secondary	http://dx.doi.org/10.1259/dmfr/21571843	en
heal.language	English	en
heal.publicationDate	2004	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 radio- Graphs and fused images for clinical evaluation regarding the evolution of a disease or the response to a therapeutic scheme.	en
heal.publisher	BRITISH INST RADIOLOGY	en
heal.journalName	Dentomaxillofacial Radiology	en
dc.identifier.doi	10.1259/dmfr/21571843	en
dc.identifier.isi	ISI:000226939300005	en
dc.identifier.volume	33	en
dc.identifier.issue	6	en
dc.identifier.spage	379	en
dc.identifier.epage	390	en