dc.contributorGarcia-Arteaga J.D.
dc.contributorBrieva J.
dc.contributorLepore N.
dc.contributorRomero E.
dc.creatorCastillo-Amor A.M.
dc.creatorNavarro-Navia C.A.
dc.creatorCadena-Bonfanti A.J.
dc.creatorContreras Ortiz, Sonia Helena
dc.date.accessioned2020-03-26T16:32:47Z
dc.date.available2020-03-26T16:32:47Z
dc.date.created2020-03-26T16:32:47Z
dc.date.issued2015
dc.identifierProceedings of SPIE - The International Society for Optical Engineering; Vol. 9681
dc.identifier9781628419160
dc.identifier0277786X
dc.identifierhttps://hdl.handle.net/20.500.12585/9024
dc.identifier10.1117/12.2209217
dc.identifierUniversidad Tecnológica de Bolívar
dc.identifierRepositorio UTB
dc.identifier57118254200
dc.identifier57118085900
dc.identifier56925085600
dc.identifier57210822856
dc.description.abstractEven though CT is an imaging technique that offers high quality images, limitations on its spatial resolution cause blurring in small objects with high contrast. This phenomenon is known as blooming artifact and affects cardiac images with small calcifications and stents. This paper describes an approach to reduce the blooming artifact and improve resolution in cardiac images using blind deconvolution and anisotropic diffusion filtering. Deconvolution increases resolution but reduces signal-to-noise ratio, and the anisotropic diffusion filter counteracts this effect without affecting the edges in the image. © 2015 SPIE.
dc.languageeng
dc.publisherSPIE
dc.relation17 November 2015 through 19 November 2015
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.rightsAtribución-NoComercial 4.0 Internacional
dc.sourcehttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84958212721&doi=10.1117%2f12.2209217&partnerID=40&md5=9262fb12eac2d8041c7f72da4aba3ea9
dc.sourceScopus2-s2.0-84958212721
dc.source11th International Symposium on Medical Information Processing and Analysis, SIPAIM 2015
dc.titleReduction of blooming artifacts in cardiac CT images by blind deconvolution and anisotropic diffusion filtering


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