%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi/2012/12.17.15.38
%2 sid.inpe.br/sibgrapi/2012/12.17.15.38.14
%@isbn 978-85-7669-271-3
%T Shape-based interpolation methods applied to medical imaging
%D 1993
%A Lotufo, Roberto de Alencar,
%A Falcão, Alexandre Xavier,
%@affiliation Departamento de Engenharia de Computação e Automação Industrial da Faculdade de Engenharia Elétrica da Universidade Estadual de Campinas (UNICAMP)
%@affiliation Departamento de Engenharia de Computação e Automação Industrial da Faculdade de Engenharia Elétrica da Universidade Estadual de Campinas (UNICAMP)
%E Figueiredo, Luiz Henrique de,
%E Gomes, Jonas de Miranda,
%B Simpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 6 (SIBGRAPI)
%C Recife, PE, Brazil
%8 19-22 Oct. 1993
%I Sociedade Brasileira de Computação
%J Porto Alegre
%V 1
%P 323-331
%S Anais
%K interpolation methods, shape-based, medical images.
%X 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.
%9 Imagens Médicas
%@language en
%3 38 Shape based interpolation.pdf