Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update1998: (UTC) administrator
Metadata Last Update2013: (UTC) administrator
Citation KeyMascarenhasSantCruv:1996:UsMAEs
TitleThe use of MAP estimation techniques in the tomographic reconstruction of Poisson noise corrupted images
FormatImpresso, On-line.
Access Date2022, Jan. 29
Number of Files1
Size106 KiB
Context area
Author1 Mascarenhas, Nelson Delfino d'Ávila
2 Santos, Saulo Savio Leite
3 Cruvinel, Paulo Estevão
EditorVelho, Luiz
Albuquerque, Arnaldo de
Lotufo, Roberto A.
Conference NameSimpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 9 (SIBGRAPI)
Conference LocationCaxambu
Date29 out. - 1 nov. 1996
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleAnais
Tertiary TypeArtigo
OrganizationSBC - Sociedade Brasileira de Computação; UFMG - Universidade Federal de Minas Gerais
History (UTC)2008-07-17 14:17:55 :: administrator -> banon ::
2010-08-28 20:04:48 :: banon -> administrator ::
2013-04-05 16:31:17 :: administrator -> banon :: 1996
2013-04-05 16:45:30 :: banon -> administrator :: 1996
2013-04-19 14:14:54 :: administrator -> banon :: 1996
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
AbstractThis work presents new methods for the tomographic reconstruction of images with Poisson noise corrupted projections. The reconstruction method is performed by first filtering the noisy projections under the Maximum a Posteriori criterion and subsequently reconstructing the images through conventional filtering-backprojection methods using the ramp filter. The "a priori" knowledge is incorporated by using several densities, including the Gaussian and densities defined on the non-negative real line. These densities were used to denote the fact that the rates of counting on the projections are non-negative quantities. Experimental results, both simulated and real, indicate that, by using the MAP criterion, it is possible to obtain better performance, as compared to conventional methods of reconstruction, with a very small increase in computational effort.
TypeAplicações em Medicina
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
Conditions of access and use area
data URL
zipped data URL
Target Filea17.pdf
User Groupadministrator
Allied materials area
Notes area
Empty Fieldsaccessionnumber affiliation archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress edition electronicmailaddress group holdercode issn keywords label lineage mark nextedition nexthigherunit notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark url versiontype volume
Description control area
e-Mail (login)banon