Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/346652
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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.contributor.authorunicampRittner, Leticia-
dc.contributor.authorunicampFreitas, Pedro Ferro-
dc.contributor.authorunicampAppenzeller, Simone-
dc.contributor.authorunicampLotufo, Roberto de Alencar-
dc.typeArtigopt_BR
dc.titleAutomatic DTI-based parcellation of the corpus callosum through the watershed transformpt_BR
dc.contributor.authorRittner, Leticia-
dc.contributor.authorFeitas, Pedro Ferro-
dc.contributor.authorAppenzeller, Simone-
dc.contributor.authorLotufo, Roberto de Alencar-
dc.subjectCorpo calosopt_BR
dc.subjectImagem de tensor de difusãopt_BR
dc.subjectImagem de ressonância magnéticapt_BR
dc.subjectTransformada watershedpt_BR
dc.subject.otherlanguageCorpus callosumpt_BR
dc.subject.otherlanguageDiffusion tensor imagingpt_BR
dc.subject.otherlanguageMagnetic resonance imagingpt_BR
dc.subject.otherlanguageWatershed transformpt_BR
dc.description.abstractParcellation of the corpus callosum (CC) in the midsagittal cross-section of the brain is of utmost importance for the study of diffusion properties within this structure. The complexity of this operation comes from the absence of macroscopic anatomical landmarks to help in dividing the CC into different callosal areas. In this paper we propose a completely automatic method for CC parcellation using diffusion tensor imaging (DTI). A dataset of 15 diffusion MRI volumes from normal subjects was used. For each subject, the midsagital slice was automatically detected based on the Fractional Anisotropy (FA) map. Then, segmentation of the CC in the midsgital slice was performed using the hierarchical watershed transform over a weighted FA-map. Finally, parcellation of the CC was obtained through the application of the watershed transform from chosen markers. Parcellation results obtained were consistent for fourteen of the fifteen subjects tested. Results were similar to the ones obtained from tractography-based methods. Tractography confirmed that the cortical regions associated with each obtained CC region were consistent with the literature. A completely automatic DTI-based parcellation method for the CC was designed and presented. It is not based on tractography, which makes it fast and computationally inexpensive. While most of the existing methods for parcellation of the CC determine an average behavior for the subjects based on population studies, the proposed method reflects the diffusion properties specific for each subject. Parcellation boundaries are found based on the diffusion properties within each individual CC, which makes it more reliable and less affected by differences in size and shape among subjectspt_BR
dc.relation.ispartofRevista brasileira de engenharia biomédica = Brazilian journal of biomedical engineeringpt_BR
dc.relation.ispartofabbreviationRev. bras. eng. biomed.pt_BR
dc.publisher.cityRio de Janeiro, RJpt_BR
dc.publisher.countryBrasilpt_BR
dc.publisherSociedade Brasileira de Engenharia Biomédicapt_BR
dc.date.issued2014-
dc.date.monthofcirculationJunept_BR
dc.language.isoengpt_BR
dc.description.volume30pt_BR
dc.description.issuenumber2pt_BR
dc.description.firstpage132pt_BR
dc.description.lastpage143pt_BR
dc.rightsAbertopt_BR
dc.sourceSCOPUSpt_BR
dc.identifier.issn1517-3151pt_BR
dc.identifier.eissn1984-7742pt_BR
dc.identifier.doi10.1590/rbeb.2014.012pt_BR
dc.identifier.urlhttps://www.scielo.br/scielo.php?script=sci_arttext&pid=S1517-31512014000200006pt_BR
dc.description.sponsorshipCONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQpt_BR
dc.description.sponsorshipCOORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR - CAPESpt_BR
dc.description.sponsorshipFUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESPpt_BR
dc.description.sponsordocumentnumbernão tempt_BR
dc.description.sponsordocumentnumbernão tempt_BR
dc.description.sponsordocumentnumbernão tempt_BR
dc.date.available2020-08-03T18:53:08Z-
dc.date.accessioned2020-08-03T18:53:08Z-
dc.description.provenanceSubmitted by Mariana Aparecida Azevedo (mary1@unicamp.br) on 2020-08-03T18:53:08Z No. of bitstreams: 0en
dc.description.provenanceMade available in DSpace on 2020-08-03T18:53:08Z (GMT). No. of bitstreams: 0 Previous issue date: 2014en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/346652-
dc.contributor.departmentDepartamento de Engenharia de Computação e Automação Industrialpt_BR
dc.contributor.departmentsem informaçãopt_BR
dc.contributor.departmentDepartamento de Clínica Médicapt_BR
dc.contributor.departmentDepartamento de Engenharia de Computação e Automação Industrialpt_BR
dc.contributor.unidadeFaculdade de Engenharia Elétrica e de Computaçãopt_BR
dc.contributor.unidadeFaculdade de Engenharia Elétrica e de Computaçãopt_BR
dc.contributor.unidadeFaculdade de Ciências Médicaspt_BR
dc.contributor.unidadeFaculdade de Engenharia Elétrica e de Computaçãopt_BR
dc.subject.keywordParcellationpt_BR
dc.identifier.source2-s2.0-84903944326pt_BR
dc.creator.orcid0000-0001-8182-5554pt_BR
dc.creator.orcidsem informaçãopt_BR
dc.creator.orcid0000-0001-5075-4474pt_BR
dc.creator.orcid0000-0002-5652-0852pt_BR
dc.type.formArtigo originalpt_BR
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