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Metadata

1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZG2LgkFdY/QNTKz
Repositorysid.inpe.br/sibgrapi@80/2007/07.20.11.13
Last Update2007:07.20.11.13.19 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2007/07.20.11.13.21
Metadata Last Update2022:06.14.00.13.31 (UTC) administrator
DOI10.1109/SIBGRAPI.2007.22
Citation KeyBagciBai:2007:MuElMe
TitleMultiresolution Elastic Medical Image Registration in Standard Intensity Scale
FormatPrinted, On-line.
Year2007
Access Date2024, Oct. 15
Number of Files1
Size1264 KiB
2. Context
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, MG, Brazil
Date7-10 Oct. 2007
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2007-08-02 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 ::
2022-06-14 00:13:31 :: administrator -> :: 2007
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
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.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2007 > Multiresolution Elastic Medical...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Multiresolution Elastic Medical...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/QNTKz
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/QNTKz
Languageen
Target Filebagci_registration_sibgrapi07.pdf
User Groupulasbagci@gmail.com
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46SF8Q5
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.00.14 31
sid.inpe.br/sibgrapi/2022/06.10.21.49 3
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage e-mailaddress edition electronicmailaddress group isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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