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		<citationkey>BagciBai:2007:MuElMe</citationkey>
		<author>Bagci, Ulas,</author>
		<author>Bai, Li,</author>
		<affiliation>Collaborative Medical Image Analysis Group, CS and IT, The University of Nottingham</affiliation>
		<affiliation>Collaborative Medical Image Analysis Group, CS and IT, The University of Nottingham</affiliation>
		<title>Multiresolution Elastic Medical Image Registration in Standard Intensity Scale</title>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)</conferencename>
		<year>2007</year>
		<editor>Falcão, Alexandre Xavier,</editor>
		<editor>Lopes, Hélio Côrtes Vieira,</editor>
		<booktitle>Proceedings</booktitle>
		<date>Oct. 7-10, 2007</date>
		<publisheraddress>Los Alamitos</publisheraddress>
		<publisher>IEEE Computer Society</publisher>
		<conferencelocation>Belo Horizonte</conferencelocation>
		<keywords>Elastic Registration, Standardization, Affine Registration, Intensity Variations.</keywords>
		<abstract>Medical image registration is a difficult problem. Not only a registration algorithm needs to capture both large and small scale image deformations, it also has to deal with global and local image intensity variations. In this paper we describe a new multiresolution elastic image registration method that challenges these difficulties in image registration. To capture large and small scale image deformations, we use both global and local affine transformation algorithms. To address global and local image intensity variations, we apply an image intensity standardization algorithm to correct image intensity variations. This transforms image intensities into a standard intensity scale, which allows highly accurate registration of medical images.</abstract>
		<language>en</language>
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