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@InProceedings{LotufoFalc:1993:ShInMe,
               author = "Lotufo, Roberto de Alencar and Falc{\~a}o, Alexandre Xavier",
          affiliation = "{Departamento de Engenharia de Computa{\c{c}}{\~a}o e 
                         Automa{\c{c}}{\~a}o Industrial da Faculdade de Engenharia 
                         El{\'e}trica da Universidade Estadual de Campinas (UNICAMP)} and 
                         {Departamento de Engenharia de Computa{\c{c}}{\~a}o e 
                         Automa{\c{c}}{\~a}o Industrial da Faculdade de Engenharia 
                         El{\'e}trica da Universidade Estadual de Campinas (UNICAMP)}",
                title = "Shape-based interpolation methods applied to medical imaging",
            booktitle = "Anais...",
                 year = "1993",
               editor = "Figueiredo, Luiz Henrique de and Gomes, Jonas de Miranda",
                pages = "323--331",
         organization = "Simp{\'o}sio Brasileiro de Computa{\c{c}}{\~a}o Gr{\'a}fica e 
                         Processamento de Imagens, 6. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "interpolation methods, shape-based, medical images.",
             abstract = "Sectional 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.",
  conference-location = "Recife",
      conference-year = "19 - 22 out. 1993",
                 isbn = "978-85-7669-271-3",
             language = "en",
                  ibi = "8JMKD3MGPBW34M/3D85RNE",
                  url = "http://urlib.net/rep/8JMKD3MGPBW34M/3D85RNE",
           targetfile = "38 Shape based interpolation.pdf",
                 type = "Imagens M{\'e}dicas",
               volume = "1",
        urlaccessdate = "2020, May 31"
}


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