Image registration based on lifting process: An application to digital subtraction radiography

Matsopoulos, GK; Mouravliansky, NA; Asvestas, PA; Delibasis, KK; Grondahl, K; Grondahl, H-G

dc.contributor.author	Matsopoulos, GK	en
dc.contributor.author	Mouravliansky, NA	en
dc.contributor.author	Asvestas, PA	en
dc.contributor.author	Delibasis, KK	en
dc.contributor.author	Grondahl, K	en
dc.contributor.author	Grondahl, H-G	en
dc.date.accessioned	2014-03-01T01:24:30Z
dc.date.available	2014-03-01T01:24:30Z
dc.date.issued	2006	en
dc.identifier.issn	1089-7771	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/17289
dc.subject	Fusion	en
dc.subject	Image registration	en
dc.subject	Lifting process	en
dc.subject	Subtraction radiography	en
dc.subject	Surface decimation	en
dc.subject	Surface matching	en
dc.subject.classification	Computer Science, Information Systems	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.classification	Mathematical & Computational Biology	en
dc.subject.classification	Medical Informatics	en
dc.subject.other	Computer simulation	en
dc.subject.other	Image quality	en
dc.subject.other	Image segmentation	en
dc.subject.other	Medical imaging	en
dc.subject.other	Pattern matching	en
dc.subject.other	Image registration	en
dc.subject.other	Lifting process	en
dc.subject.other	Subtraction radiography	en
dc.subject.other	Surface decimation	en
dc.subject.other	Diagnostic radiography	en
dc.subject.other	algorithm	en
dc.subject.other	article	en
dc.subject.other	automated pattern recognition	en
dc.subject.other	computer assisted diagnosis	en
dc.subject.other	evaluation	en
dc.subject.other	human	en
dc.subject.other	image enhancement	en
dc.subject.other	image quality	en
dc.subject.other	image subtraction	en
dc.subject.other	methodology	en
dc.subject.other	reproducibility	en
dc.subject.other	sensitivity and specificity	en
dc.subject.other	tooth radiography	en
dc.subject.other	Algorithms	en
dc.subject.other	Humans	en
dc.subject.other	Image Enhancement	en
dc.subject.other	Pattern Recognition, Automated	en
dc.subject.other	Radiographic Image Enhancement	en
dc.subject.other	Radiographic Image Interpretation, Computer-Assisted	en
dc.subject.other	Radiography, Dental	en
dc.subject.other	Reproducibility of Results	en
dc.subject.other	Sensitivity and Specificity	en
dc.subject.other	Subtraction Technique	en
dc.title	Image registration based on lifting process: An application to digital subtraction radiography	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/TITB.2006.875683	en
heal.identifier.secondary	http://dx.doi.org/10.1109/TITB.2006.875683	en
heal.language	English	en
heal.publicationDate	2006	en
heal.abstract	In this paper, a digital subtraction radiology scheme is presented based on a new method for the automatic registration of dental radiographs acquired with or without rigorous a priori standardization. The scheme is comprised of an automatic registration method and a subtraction process. The proposed registration method can be considered as an object-based registration method without imposing the prerequisite of image segmentation in order to detect the boundary of the objects of interest or the automatic detection of matching landmarks. This is achieved by augmenting the dimensionality of the problem from two-dimensional gray-level matching to three-dimensional surface matching using the process of lifting in combination with a surface-matching technique. The pseudo three-dimensional affine transformation that matches the lifted images incorporates advantageous characteristics including spatial alignment of the surfaces, anisotropic correction of brightness/contrast differences, and stable convergence of the similarity function to its optimal value. The performance of the proposed automatic registration method is assessed against a manual method based on the projective transformation. The qualitative and quantitative assessments of the experiments have shown advantageous performance of the proposed automatic registration method against the manual one. Finally, the proposed registration method has been further improved in terms of execution time by the implementation of a surface decimation process. © 2006 IEEE.	en
heal.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC	en
heal.journalName	IEEE Transactions on Information Technology in Biomedicine	en
dc.identifier.doi	10.1109/TITB.2006.875683	en
dc.identifier.isi	ISI:000241124900014	en
dc.identifier.volume	10	en
dc.identifier.issue	4	en
dc.identifier.spage	763	en
dc.identifier.epage	774	en