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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZG2LgkFdY/QVzz7
Repositorysid.inpe.br/sibgrapi@80/2007/07.31.22.30
Last Update2007:07.31.22.30.53 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2007/07.31.22.30.55
Metadata Last Update2022:06.14.00.13.36 (UTC) administrator
DOI10.1109/SIBGRAPI.2007.29
Citation KeySeixasSaadSouzSant:2007:AuSeCo
TitleAutomated Segmentation of the Corpus Callosum Midsagittal Surface Area
FormatPrinted, On-line.
Year2007
Access Date2024, May 06
Number of Files1
Size333 KiB
2. Context
Author1 Seixas, Flavio Luiz
2 Saade, Débora C. Muchaluat
3 Souza, Andrea Silveira de
4 Santos, Alair Augusto Sarmet M. D. dos
Affiliation1 UFF - Engenharia de Telecomunicações
2 UFF - Engenharia de Telecomunicações
3 LABS - Rede D'Or
4 UFF - Faculdade de Medicina
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)2007-07-31 22:30:55 :: flseixas@yahoo.com.br -> administrator ::
2007-08-02 21:17:47 :: administrator -> flseixas@yahoo.com.br ::
2008-07-17 14:09:43 :: flseixas@yahoo.com.br -> administrator ::
2009-08-13 20:38:29 :: administrator -> banon ::
2010-08-28 20:02:29 :: banon -> administrator ::
2022-06-14 00:13:36 :: administrator -> :: 2007
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsMagnetic Resonance
Segmentation
Image Processing
Brain
Corpus Callosum
Neuroanatomical Structures
AbstractThe non-invasive in vivo nature of magnetic resonance imaging (MRI) makes it the modality of choice of many neuroanatomical imaging studies. This paper discusses automatic brain structure segmentation based on previous knowledge on statistical models. The method is validated by an experiment involving magnetic resonance images acquired from 20 healthy adult individuals (10 men and 10 women). The results provide normative data of the midsagittal surface area of the corpus callosum from a 46-55 years old range group, splitting results by gender. Our results were also compared with data obtained from other authors, validating the correlation between brain volume and the area of this structure. The final goal of this work is computer-aided diagnosis for brain diseases.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2007 > Automated Segmentation of...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Automated Segmentation of...
doc Directory Contentaccess
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/QVzz7
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/QVzz7
Languageen
Target FileSeixas-AutomatedSegmentationCorpusCallosum.pdf
User Groupflseixas@yahoo.com.br
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46SF8Q5
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.00.14 4
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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