<?xml version="1.0" encoding="ISO-8859-1"?>
<metadatalist>
	<metadata ReferenceType="Conference Proceedings">
		<site>sibgrapi.sid.inpe.br 802</site>
		<identifier>6qtX3pFwXQZeBBx/GwdPy</identifier>
		<repository>sid.inpe.br/banon/2005/06.21.00.46</repository>
		<lastupdate>2005:07.05.03.00.00 sid.inpe.br/banon/2001/03.30.15.38 administrator</lastupdate>
		<metadatarepository>sid.inpe.br/banon/2005/06.21.00.46.21</metadatarepository>
		<metadatalastupdate>2020:02.19.03.19.05 sid.inpe.br/banon/2001/03.30.15.38 administrator {D 2005}</metadatalastupdate>
		<citationkey>HelouNetoPier:2005:EfReCo</citationkey>
		<title>On the effect of relaxation in the convergence and quality of statistical image reconstruction for emission tomography using block-iterative algorithms</title>
		<format>On-line</format>
		<year>2005</year>
		<date>9-12 Oct. 2005</date>
		<numberoffiles>1</numberoffiles>
		<size>662 KiB</size>
		<author>Helou Neto, Elias Salomão,</author>
		<author>De Pierro, Álvaro Rodolfo,</author>
		<affiliation>UNICAMP</affiliation>
		<editor>Rodrigues, Maria Andréia Formico,</editor>
		<editor>Frery, Alejandro César,</editor>
		<e-mailaddress>e950514@ime.unicamp.br</e-mailaddress>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 18 (SIBGRAPI)</conferencename>
		<conferencelocation>Natal</conferencelocation>
		<booktitle>Proceedings</booktitle>
		<publisher>IEEE Computer Society</publisher>
		<publisheraddress>Los Alamitos</publisheraddress>
		<transferableflag>1</transferableflag>
		<contenttype>External Contribution</contenttype>
		<tertiarytype>Full Paper</tertiarytype>
		<keywords>emission tomography, iterative algorithms.</keywords>
		<abstract>Relaxation is widely recognized as a useful tool for providing convergence in block-iterative algorithms [1], [2], [6]. In the present article we give new results on the convergence of RAMLA (Row Action Maximum Likelihood Algorithm) [2], filling some important theoretical gaps. Furthermore, because RAMLA and OS-EM (Ordered Subsets - Expectation Maximization) [4] are the algorithms for statistical reconstruction currently being used in commercial emission tomography scanners, we present a comparison between them from the viewpoint of a specific imaging task. Our experiments show the importance of relaxation to improve image quality.</abstract>
		<language>en</language>
		<targetfile>heloue_tomography.pdf</targetfile>
		<usergroup>eshneto administrator</usergroup>
		<visibility>shown</visibility>
		<hostcollection>sid.inpe.br/banon/2001/03.30.15.38</hostcollection>
		<lasthostcollection>sid.inpe.br/banon/2001/03.30.15.38</lasthostcollection>
		<url>http://sibgrapi.sid.inpe.br/rep-/sid.inpe.br/banon/2005/06.21.00.46</url>
	</metadata>
</metadatalist>