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dc.contributor.author | Flores, Liubov Alexandrovna | es_ES |
dc.contributor.author | Vidal Gimeno, Vicente Emilio | es_ES |
dc.contributor.author | Verdú Martín, Gumersindo Jesús | es_ES |
dc.date.accessioned | 2016-05-27T07:46:42Z | |
dc.date.available | 2016-05-27T07:46:42Z | |
dc.date.issued | 2015 | |
dc.identifier.issn | 2341-3158 | |
dc.identifier.uri | http://hdl.handle.net/10251/64838 | |
dc.description.abstract | [EN] In X-ray computed tomography (CT) imaging, projections taken by a scanner are used to reconstruct the internal structure of an object. Due to the complexity of the data, the problem of reconstruction is a time consuming process. Although modern processors have gained sufficient power to be competitive in 2D reconstruction, it is not the case for 3D reconstruction especially when iterative methods are used. Today, the technology allows reducing this drawback effectively. In this work we compare two iterative algorithms of image reconstruction based on GPU implementation. | es_ES |
dc.description.sponsorship | This work was partially funded by ANITRAN PROMETEO/2010/039, the Spanish Ministry of Science and Innovation (Project ENE2011-22823, TIN2011-26254). | |
dc.language | Inglés | es_ES |
dc.publisher | Universidad de Granada | es_ES |
dc.relation.ispartof | Annals of Multicore and GPU Programming | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | CT image reconstruction | es_ES |
dc.subject | GPU based algorithm | es_ES |
dc.subject | CUDA C | es_ES |
dc.subject.classification | CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL | es_ES |
dc.subject.classification | INGENIERIA NUCLEAR | es_ES |
dc.title | GPU based algorithms in CT imaging | es_ES |
dc.type | Artículo | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GVA//PROMETEO%2F2010%2F039/ES/ANITRAN: METODOLOGIA DE ANALISIS DE INCERTIDUMBRES APLICADA A TRANSITORIOS DE PLANTAS NUCLEARES/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//ENE2011-22823/ES/VALIUN-3D: VERIFICACION, VALIDACION, MEJORA Y CUANTIFICACION DE INCERTIDUMBRE EN CODIGOS 3D-NTH PARA ANALISIS DE SEGURIDAD/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//TIN2011-26254/ES/COMPUTACION DE ALTAS PRESTACIONES Y SISTEMAS HIBRIDOS/ | |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería Química y Nuclear - Departament d'Enginyeria Química i Nuclear | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Instituto de Seguridad Industrial, Radiofísica y Medioambiental - Institut de Seguretat Industrial, Radiofísica i Mediambiental | es_ES |
dc.description.bibliographicCitation | Flores, LA.; Vidal Gimeno, VE.; Verdú Martín, GJ. (2015). GPU based algorithms in CT imaging. Annals of Multicore and GPU Programming. 2(1):25-31. http://hdl.handle.net/10251/64838 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://revistaseug.ugr.es/index.php/amgp/article/view/2533 | es_ES |
dc.description.upvformatpinicio | 25 | es_ES |
dc.description.upvformatpfin | 31 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 2 | es_ES |
dc.description.issue | 1 | es_ES |
dc.relation.senia | 307207 | es_ES |
dc.contributor.funder | Ministerio de Ciencia e Innovación | |
dc.contributor.funder | Generalitat Valenciana |