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Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Repositorysid.inpe.br/sibgrapi@80/2007/07.20.11.13
Last Update2007:07.20.11.13.19 administrator
Metadatasid.inpe.br/sibgrapi@80/2007/07.20.11.13.21
Metadata Last Update2020:02.19.03.06.19 administrator
Citation KeyBagciBai:2007:MuElMe
TitleMultiresolution Elastic Medical Image Registration in Standard Intensity Scale
FormatPrinted, On-line.
Year2007
Access Date2021, Jan. 25
Number of Files1
Size1264 KiB
Context area
Author1 Bagci, Ulas
2 Bai, Li
Affiliation1 Collaborative Medical Image Analysis Group, CS and IT, The University of Nottingham
2 Collaborative Medical Image Analysis Group, CS and IT, The University of Nottingham
EditorFalcão, Alexandre Xavier
Lopes, Hélio Côrtes Vieira
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
Conference LocationBelo Horizonte
DateOct. 7-10, 2007
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
History2007-08-02 11:46:11 :: ulasbagci@gmail.com -> administrator ::
2007-08-02 21:17:24 :: administrator -> ulasbagci@gmail.com ::
2008-07-17 14:09:42 :: ulasbagci@gmail.com -> administrator ::
2009-08-13 20:38:23 :: administrator -> banon ::
2010-08-28 20:02:27 :: banon -> administrator ::
2020-02-19 03:06:19 :: administrator -> :: 2007
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
KeywordsElastic Registration, Standardization, Affine Registration, Intensity Variations.
AbstractMedical 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.
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data URLhttp://urlib.net/rep/sid.inpe.br/sibgrapi@80/2007/07.20.11.13
zipped data URLhttp://urlib.net/zip/sid.inpe.br/sibgrapi@80/2007/07.20.11.13
Languageen
Target Filebagci_registration_sibgrapi07.pdf
User Groupulasbagci@gmail.com
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Visibilityshown
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Mirror Repositorydpi.inpe.br/banon-pc2@80/2006/08.30.19.27
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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Empty Fieldsaccessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition nexthigherunit notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume

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