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Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Identifier8JMKD3MGPBW34M/3D85RNE
Repositorysid.inpe.br/sibgrapi/2012/12.17.15.38
Last Update2012:12.17.15.38.14 administrator
Metadatasid.inpe.br/sibgrapi/2012/12.17.15.38.14
Metadata Last Update2013:01.03.01.24.58 administrator
ISBN978-85-7669-271-3
Citation KeyLotufoFalc:1993:ShInMe
TitleShape-based interpolation methods applied to medical imaging
FormatImpresso, On-line.
Year1993
Access Date2021, Mar. 07
Number of Files1
Size5833 KiB
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Author1 Lotufo, Roberto de Alencar
2 Falcão, Alexandre Xavier
Affiliation1 Departamento de Engenharia de Computação e Automação Industrial da Faculdade de Engenharia Elétrica da Universidade Estadual de Campinas (UNICAMP)
2 Departamento de Engenharia de Computação e Automação Industrial da Faculdade de Engenharia Elétrica da Universidade Estadual de Campinas (UNICAMP)
EditorFigueiredo, Luiz Henrique de
Gomes, Jonas de Miranda
e-Mail Addresscintiagraziele.silva@gmail.com
Conference NameSimpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 6 (SIBGRAPI)
Conference LocationRecife
Date19 - 22 out. 1993
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Volume1
Pages323-331
Book TitleAnais
Tertiary TypeArtigo
History2012-12-17 15:38:14 :: cintiagraziele.silva@gmail.com -> administrator ::
2013-01-03 01:24:58 :: administrator -> cintiagraziele.silva@gmail.com :: 1993
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Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordsinterpolation methods, shape-based, medical images.
AbstractSectional images generated by medical scanners usually have lower interslice resolution than resolution within the slices. Shape-based interpolation is a method of interpolation that can be applied to the segmented 3D volume to create an isotropic data set. It uses a distance transform applied to every slice prior to estimation of intermediate binary slices. Gray-level interpolation has been the classical way of estimating intermediate slices. There is also a combination of these two forms of interpolation, using the average magnitude of the gradients as a normalizing factor of the gradients as a normalizing factor of the combination. This paper presents new comparison results of these interpolation methods.
TypeImagens Médicas
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data URLhttp://urlib.net/rep/8JMKD3MGPBW34M/3D85RNE
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3D85RNE
Languageen
Target File38 Shape based interpolation.pdf
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cintiagraziele.silva@gmail.com
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Mirror Repositorysid.inpe.br/sibgrapi@80/2007/08.02.16.22
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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