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		<citationkey>Pinheiro:2015:Fi2DPr</citationkey>
		<title>Filtragem 2D de Projeções CT Afetadas por Ruído Poisson</title>
		<format>On-line</format>
		<year>2015</year>
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		<author>Pinheiro, Arthur Melo,</author>
		<affiliation>Universidade Federal de São Carlos</affiliation>
		<editor>Rios, Ricardo Araujo,</editor>
		<editor>Paiva, Afonso,</editor>
		<e-mailaddress>pinheiroam@outlook.com</e-mailaddress>
		<conferencename>Conference on Graphics, Patterns and Images, 28 (SIBGRAPI)</conferencename>
		<conferencelocation>Salvador, BA, Brazil</conferencelocation>
		<date>26-29 Aug. 2015</date>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<publisheraddress>Porto Alegre</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Work in Progress</tertiarytype>
		<transferableflag>1</transferableflag>
		<keywords>Sinogram filtering, Poisson noise, CT images.</keywords>
		<abstract>The diagnostic imaging by computed tomography has become popular in recent decades, causing concerns about the exposure of the human body to high doses of X-rays, which may cause cancer. Faced with this problem, studies are conducted with the objective of minimizing the dose of X-rays and maintain image quality since image degradation by noise reduction is proportional to the dose of X-rays. This paper proposes a methodology for 2D filtering noise made by Poisson projections using as a priori knowledge to the Wiener filter the result of filtering the projections by non-local filters after the stabilization of the noise variance by Anscombe transform.</abstract>
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		<targetfile>Filtragem 2D de Projeções CT Afetadas por Ruído Poisson.pdf</targetfile>
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