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		<identifier>8JMKD3MGPBW34M/3DJCJ9H</identifier>
		<repository>sid.inpe.br/sibgrapi/2013/02.18.16.37</repository>
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		<site>sibgrapi.sid.inpe.br 802</site>
		<isbn>978-85-7669-273-7</isbn>
		<citationkey>ParzianelloFuruMour:1995:AuDeLe</citationkey>
		<author>Parzianello, Luiz Claúdio,</author>
		<author>Furuie, Sérgio Shiguemi,</author>
		<author>Moura, Lincoln,</author>
		<affiliation>Divisão de Informática do Instituto do Coração de São Paulo (InCor)</affiliation>
		<affiliation>Divisão de Informática do Instituto do Coração de São Paulo (InCor)</affiliation>
		<affiliation>Divisão de Informática do Instituto do Coração de São Paulo (InCor)</affiliation>
		<title>Automated detection of the left ventricle contour in gated blood pool studies</title>
		<conferencename>Simpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 8 (SIBGRAPI)</conferencename>
		<year>1995</year>
		<editor>Lotufo, Roberto de Alencar,</editor>
		<editor>Mascarenhas, Nelson Delfino d'Ávila,</editor>
		<booktitle>Anais</booktitle>
		<date>25 - 27 out. 1995</date>
		<publisheraddress>Porto Alegre</publisheraddress>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<conferencelocation>São Carlos</conferencelocation>
		<keywords>image processing, medical imaging.</keywords>
		<abstract>We present a method for automatic detection of left ventricle (LV) contour in gated blood pool studies based on  G operator, used as an enhancing filter. The LV is localized automatically in the diastolic frame using a fuzzy membership function of localization over the filtered image. After that, the LV contour is searched by a region growing algorithm with constraints in the diastolic frame. In the other frames, contours are detected via heuristic local search using the previously detected contour as a template and looking for an optimal path.</abstract>
		<pages>257-263</pages>
		<language>en</language>
		<type>Imagens Médicas</type>
		<tertiarytype>Artigo</tertiarytype>
		<format>Impresso, On-line.</format>
		<size>5073 KiB</size>
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		<targetfile>32 Automated detection of the left ventricle.pdf</targetfile>
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