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		<identifier>8JMKD3MGPBW34M/3D85RNE</identifier>
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		<isbn>978-85-7669-271-3</isbn>
		<citationkey>LotufoFalc:1993:ShInMe</citationkey>
		<title>Shape-based interpolation methods applied to medical imaging</title>
		<format>Impresso, On-line.</format>
		<year>1993</year>
		<numberoffiles>1</numberoffiles>
		<size>5833 KiB</size>
		<author>Lotufo, Roberto de Alencar,</author>
		<author>Falcão, Alexandre Xavier,</author>
		<affiliation>Departamento de Engenharia de Computação e Automação Industrial da Faculdade de Engenharia Elétrica da Universidade Estadual de Campinas (UNICAMP)</affiliation>
		<affiliation>Departamento de Engenharia de Computação e Automação Industrial da Faculdade de Engenharia Elétrica da Universidade Estadual de Campinas (UNICAMP)</affiliation>
		<editor>Figueiredo, Luiz Henrique de,</editor>
		<editor>Gomes, Jonas de Miranda,</editor>
		<e-mailaddress>cintiagraziele.silva@gmail.com</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 6 (SIBGRAPI)</conferencename>
		<conferencelocation>Recife</conferencelocation>
		<date>19 - 22 out. 1993</date>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<publisheraddress>Porto Alegre</publisheraddress>
		<volume>1</volume>
		<pages>323-331</pages>
		<booktitle>Anais</booktitle>
		<tertiarytype>Artigo</tertiarytype>
		<transferableflag>1</transferableflag>
		<keywords>interpolation methods, shape-based, medical images.</keywords>
		<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.</abstract>
		<type>Imagens Médicas</type>
		<language>en</language>
		<targetfile>38 Shape based interpolation.pdf</targetfile>
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		<url>http://sibgrapi.sid.inpe.br/rep-/sid.inpe.br/sibgrapi/2012/12.17.15.38</url>
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