Wavelets in the computed evaluation of mammographic accreditation phantom images

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorCentro Brasileiro de Pesquisas Físicas (CBPF)
dc.date.accessioned2014-05-27T11:28:55Z
dc.date.available2014-05-27T11:28:55Z
dc.date.created2014-05-27T11:28:55Z
dc.date.issued2013-04-16
dc.identifierIFMBE Proceedings, v. 39 IFMBE, p. 811-814.
dc.identifier1680-0737
dc.identifierhttp://hdl.handle.net/11449/75121
dc.identifier10.1007/978-3-642-29305-4_213
dc.identifier2-s2.0-84876016115
dc.description.abstractThis paper presents a novel approach to the computed assessment of a mammographic phantom device. The approach shown here is fully automated and is based on the automatic selection of the region of interest, in the use of the discrete wavelet transform (DWT) and morphological operators to assess the quality of the American College of Radiology (ACR) mammographic phantom images. The algorithms developed here have succesfully scored 30 images obtained with different combinations of voltage applied to the tube and exposure and could notice the differences in the radiographs due to the different level of exposure to radiation. © 2013 Springer-Verlag.
dc.languageeng
dc.relationIFMBE Proceedings
dc.relation0,143
dc.rightsAcesso aberto
dc.sourceScopus
dc.subjectaccreditation phantom
dc.subjectcomputed image evaluation
dc.subjectcomputed radiography
dc.subjectmammography
dc.subjectquality control
dc.subjectAmerican college of radiologies
dc.subjectAutomatic selection
dc.subjectComputed radiography
dc.subjectFully automated
dc.subjectImage evaluation
dc.subjectMammographic phantoms
dc.subjectMorphological operator
dc.subjectRegion of interest
dc.subjectAccreditation
dc.subjectBiomedical engineering
dc.subjectDiscrete wavelet transforms
dc.subjectPhysics
dc.subjectQuality control
dc.subjectRadiology
dc.subjectMammography
dc.titleWavelets in the computed evaluation of mammographic accreditation phantom images
dc.typeActas de congresos


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