Mostrar el registro sencillo del ítem
dc.contributor.author | Flores, Liubov Alexandrovna | es_ES |
dc.contributor.author | Vidal Gimeno, Vicente Emilio | es_ES |
dc.contributor.author | Mayo Nogueira, Patricia | es_ES |
dc.contributor.author | Ródenas Escribá, Francisco de Asís | es_ES |
dc.contributor.author | Verdú Martín, Gumersindo Jesús | es_ES |
dc.date.accessioned | 2015-05-25T12:09:28Z | |
dc.date.available | 2015-05-25T12:09:28Z | |
dc.date.issued | 2014-02 | |
dc.identifier.issn | 0969-806X | |
dc.identifier.uri | http://hdl.handle.net/10251/50728 | |
dc.description.abstract | [EN] In X-ray computed tomography (CT) iterative methods are more suitable for the reconstruction of images with high contrast and precision in noisy conditions from a small number of projections. However, in practice, these methods are not widely used due to the high computational cost of their implementation. Nowadays technology provides the possibility to reduce effectively this drawback. It is the goal of this work to develop a fast GPU-based algorithm to reconstruct high quality images from under sampled and noisy projection data. | es_ES |
dc.description.sponsorship | Research supported by ANITRAN Project PROMETEO/2010/039. | |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Radiation Physics and Chemistry | 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 | MATEMATICA APLICADA | es_ES |
dc.subject.classification | INGENIERIA NUCLEAR | es_ES |
dc.title | Parallel CT image reconstruction based on GPUs | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016 / j.radphyschem.2013.03.011 | |
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.rights.accessRights | Abierto | 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. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería Química y Nuclear - Departament d'Enginyeria Química i Nuclear | es_ES |
dc.description.bibliographicCitation | Flores, LA.; Vidal Gimeno, VE.; Mayo Nogueira, P.; Ródenas Escribá, FDA.; Verdú Martín, GJ. (2014). Parallel CT image reconstruction based on GPUs. Radiation Physics and Chemistry. 95(1):247-250. https://doi.org/10.1016 / j.radphyschem.2013.03.011 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1016 / j.radphyschem.2013.03.011 | es_ES |
dc.description.upvformatpinicio | 247 | es_ES |
dc.description.upvformatpfin | 250 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 95 | es_ES |
dc.description.issue | 1 | es_ES |
dc.relation.senia | 285122 | |
dc.contributor.funder | Generalitat Valenciana | es_ES |