Close
Metadata

Reference TypeConference Proceedings
Identifier8JMKD3MGPBW34M/3A3ALCL
Repositorysid.inpe.br/sibgrapi/2011/07.08.18.21
Metadatasid.inpe.br/sibgrapi/2011/07.08.18.21.38
Sitesibgrapi.sid.inpe.br
Citation KeyFreitasRittAppeLotu:2011:WaSeMi
Author1 Freitas, Pedro Ferro
2 Rittner, Leticia
3 Appenzeller, Simone
4 Lotufo, Roberto de Alencar
Affiliation1 School of Electrical and Computer Engineering, University of Campinas - UNICAMP
2 School of Electrical and Computer Engineering, University of Campinas - UNICAMP
3 Department of Medicine, Rheumatology Unit, University of Campinas - UNICAMP
4 School of Electrical and Computer Engineering, University of Campinas - UNICAMP
TitleWatershed-based segmentation of the midsagittal section of the corpus callosum in diffusion MRI
Conference NameConference on Graphics, Patterns and Images, 24 (SIBGRAPI)
Year2011
EditorLewiner, Thomas
Torres, Ricardo
Book TitleProceedings
DateAug. 28 - 31, 2011
Publisher CityLos Alamitos
PublisherIEEE Computer Society Conference Publishing Services
Conference LocationMaceió
Keywordscorpus callosum, fractional anisotropy, diffusion tensor imaging, magnetic resonance image, segmentation, watershed transform.
AbstractThe corpus callosum (CC) is one of the most important white matter structures of the brain, interconnecting the two cerebral hemispheres. The corpus callosum is related to several neurodegenerative diseases and, as segmentation is usually the first step for studies in this structure, it is important to have a robust method for CC segmentation. We propose here a new approach for fully automatic segmentation of the CC in the magnetic resonance diffusion tensor images. The method uses the watershed transform and is performed on the fractional anisotropy (FA) map weighted by the projection of the principal eigenvector in the left-right direction. It first computes the section of the CC in the midsagittal slice and uses it as a seed for the 3D volume segmentation. Experiments with real diffusion MRI data showed that the proposed method is able to quickly segment the CC without any user intervention, with great results when compared to manual segmentation. Since it is simple, fast and does not require parameter settings, the proposed method is well suited for clinical applications.
Languageen
Tertiary TypeFull Paper
FormatDVD, On-line.
Size518 KiB
Number of Files1
Target Fileexample.pdf
Last Update2011:07.08.18.21.38 sid.inpe.br/banon/2001/03.30.15.38 pedroferro86@gmail.com
Metadata Last Update2011:07.23.15.36.12 sid.inpe.br/banon/2001/03.30.15.38 pedroferro86@gmail.com {D 2011}
Document Stagecompleted
Is the master or a copy?is the master
Mirrorsid.inpe.br/banon/2001/03.30.15.38.24
e-Mail Addresspedroferro86@gmail.com
User Grouppedroferro86@gmail.com
Visibilityshown
Transferable1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
Content TypeExternal Contribution
source Directory Contentthere are no files
agreement Directory Content
agreement.html 08/07/2011 15:21 0.5 KiB
History2011-07-23 15:36:12 :: pedroferro86@gmail.com -> :: 2011
Empty Fieldsaccessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi 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
Access Date2019, Dec. 09

Close