Employing 2D Projections for Fast Visual Exploration of Large Fiber Tracking Data

Página do item simplificado
dc.contributor.authorPoco, Jorge
dc.contributor.authorEler, Danilo M. [UNESP]
dc.contributor.authorPaulovich, Fernando V.
dc.contributor.authorMinghim, Rosane
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionPolytech Inst New York
dc.date.accessioned2014-05-20T15:31:03Z
dc.date.available2014-05-20T15:31:03Z
dc.date.issued2012-06-01
dc.description.abstractFiber tracts detection is an increasingly common technology for diagnosis and also understanding of brain function. Although tools for tracing and presenting brain fibers are advanced, it is still difficult for physicians or students to explore the dataset in 3D due to their intricate topology. In this work we present a visual exploration approach for fiber tracts data aimed at supporting exploration of such data. The work employs a local, precise and fast 2D multidimensional projection technique that allows a large number of fibers to be handled simultaneously and to select groups of bundled fibers for further exploration. In this approach, a DTI feature dataset, including curvature as well as spatial features, is projected on a 2D or 3D view. By handling groups formed in this view, exploration is linked to corresponding brain fibers in object space. The link exists in both directions and fibers selected in object space are also mapped to feature space. Our approach also allows users to modify the projection, controlling and improving, if necessary, the definition of groups of fibers for small and large datasets, due to the local nature of the projection. Compared to other related work, the method presented here is faster for creating visual representations, making it possible to explore complete sets of fibers tracts up to 250K fibers, which was not possible previously. Additionally, the ability to change configuration of the feature space representation adds a high degree of flexibility to the process.en
dc.description.affiliationICMC USP, São Carlos, SP, Brazil
dc.description.affiliationFCT Unesp, Presidente Prudente, SP, Brazil
dc.description.affiliationPolytech Inst New York, New York, NY USA
dc.description.affiliationUnespFCT Unesp, Presidente Prudente, SP, Brazil
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.format.extent1075-1084
dc.identifierhttp://dx.doi.org/10.1111/j.1467-8659.2012.03100.x
dc.identifier.citationComputer Graphics Forum. Hoboken: Wiley-blackwell, v. 31, n. 3, p. 1075-1084, 2012.
dc.identifier.doi10.1111/j.1467-8659.2012.03100.x
dc.identifier.issn0167-7055
dc.identifier.urihttp://hdl.handle.net/11449/40299
dc.identifier.wosWOS:000305603500010
dc.language.isoeng
dc.publisherWiley-Blackwell
dc.relation.ispartofComputer Graphics Forum
dc.relation.ispartofjcr2.046
dc.relation.ispartofsjr0,597
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectI.3.6 [Computer Graphics]: Methodology and Techniquesen
dc.subjectI.3.8 [Computing Methodologies]: Computer Graphics-Applicationsen
dc.subjectH.5.0 [Information Interfaces and Presentation]: Generalen
dc.titleEmploying 2D Projections for Fast Visual Exploration of Large Fiber Tracking Dataen
dc.typeArtigo
dcterms.licensehttp://olabout.wiley.com/WileyCDA/Section/id-406071.html
dcterms.rightsHolderWiley-blackwell
unesp.author.orcid0000-0001-9096-6287[1]
unesp.author.orcid0000-0002-9493-145X[2]
unesp.author.orcid0000-0002-2316-760X[3]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências e Tecnologia, Presidente Prudentept

Arquivos

Licença do Pacote
Agora exibindo 1 - 2 de 2
Nenhuma Miniatura disponível
Nome:
license.txt
Tamanho:
1.71 KB
Formato:
Item-specific license agreed upon to submission
Descrição:
Nenhuma Miniatura disponível
Nome:
license.txt
Tamanho:
1.71 KB
Formato:
Item-specific license agreed upon to submission
Descrição:

Coleções

Artigos - Matemática e Computação - FCT