Close

1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZG2LgkFdY/UNg7A
Repositorysid.inpe.br/sibgrapi@80/2008/07.18.13.47
Last Update2008:07.18.13.47.33 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2008/07.18.13.47.34
Metadata Last Update2022:06.14.00.13.45 (UTC) administrator
DOI10.1109/SIBGRAPI.2008.33
Citation KeyFavrettoBergFalc:2008:FaAuMe
TitleA Fast and Automatic Method for 3D Rigid Registration of MR Images of the Human Brain
FormatPrinted, On-line.
Year2008
Access Date2024, Apr. 29
Number of Files1
Size479 KiB
2. Context
Author1 Favretto, Fernanda Oliveira
2 Bergo, Felipe Paulo Guazzi
3 Falcão, Alexandre Xavier
Affiliation1 LIV - Instituto de Computação - Unicamp
2 LIV - Instituto de Computação - Unicamp
3 LIV - Instituto de Computação - Unicamp
EditorJung, Cláudio Rosito
Walter, Marcelo
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 21 (SIBGRAPI)
Conference LocationCampo Grande, MS, Brazil
Date12-15 Oct. 2008
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2008-07-18 13:47:34 :: fbergo@gmail.com -> administrator ::
2009-08-13 20:38:54 :: administrator -> fbergo@gmail.com ::
2010-08-28 20:03:22 :: fbergo@gmail.com -> administrator ::
2022-06-14 00:13:45 :: administrator -> :: 2008
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsRegistration
Image Processing
Medical Image Analysis
AbstractImage registration is an important problem with several applications in Medical Imaging. Intra-subject rigid registration requires a minimal set of parameters to be computed, and is sufficient for organs with no significant movement or deformation, such as the human brain. Rigid registration has also been used as the first step before inter-subject deformable registration. In this paper we present a fast and automatic method for 3D rigid registration of magnetic resonance images of the human brain. The method combines previous approaches for mid-sagittal plane location and brain segmentation with a greedy-search algorithm to find the best match between source and target images. We evaluated the method on 200 image pairs: 100 without structural abnormalities and 100 with artificially created lesions, such that it was possible to quantify the registration errors. The method achieved very accurate registration within a few seconds.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2008 > A Fast and...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > A Fast and...
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/UNg7A
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/UNg7A
Languageen
Target Filefavretto-registration.pdf
User Groupfbergo@gmail.com
administrator
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46SG4TH
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.04.55 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 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


Close