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dc.contributor.author | Sanchez, M.G. | es_ES |
dc.contributor.author | Juste Vidal, Belen Jeanine | es_ES |
dc.contributor.author | Vidal, Vicent | es_ES |
dc.contributor.author | Verdú Martín, Gumersindo Jesús | es_ES |
dc.contributor.author | Mayo Nogueira, Patricia | es_ES |
dc.contributor.author | Ródenas Escribá, Francisco de Asís | es_ES |
dc.date.accessioned | 2016-10-06T12:34:40Z | |
dc.date.available | 2016-10-06T12:34:40Z | |
dc.date.issued | 2014-02 | |
dc.identifier.issn | 0969-806X | |
dc.identifier.uri | http://hdl.handle.net/10251/71315 | |
dc.description.abstract | The use of Computed Radiography (CR) into clinical practice has been followed by a high increase in the number of examinations performed and overdose cases in patients, especially children in pediatric applications. Computed radiographic images are corrupted by noise because either data acquisition or data transmission. The level of this inherent noise is related with the X-ray dose exposure: lower radiation exposure involves higher noise level. The main aim of this work is to reduce the noise present in a low radiation dose CR image in order to the get a CR image of the same quality as a higher radiation exposure image. In this work, we use a non lineal diffusion filtering method to reduce the noise level in a CR, this means that we are able to reduce the exposure, milliampere-second (mAs), and the dose absorbed by the patients. In order to get an optimal result, the diffusive filter is complemented with a smoothing filter with edge detection in order to preserve edges. Therefore, the proposed method consists in obtaining a good quality CR image for diagnostic purposes by selection of lower X-ray exposure jointly with a reduction of the noise. We conclude that a good solution to minimize the dose to patients, especially children in pediatric applications, in X-ray computed radiography consists in decreasing the mAs of the X-ray exposure and then processing the image with the proposed method. | es_ES |
dc.description.sponsorship | This work was funded by ANITRAN PROMETEO/2010/039, the Spanish Ministry of Science and Innovation (Project TIN2008-06570-004-04) and M. Gpe. Sanchez would also like to acknowledge DGEST ITCG for the scholarship awarded through the PROMEP program (Mexico). | en_EN |
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 | Computed radiography | es_ES |
dc.subject | Non lineal diffusion | 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 | Dose reduction using non lineal diffusion and smoothing filters in computed radiography | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.radphyschem.2013.03.017 | |
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//TIN2008-06570-C04-04/ES/CONSTRUCCION Y OPTIMIZACION AUTOMATICAS DE BIBLIOTECAS PARALELAS DE COMPUTACION CIENTIFICA - UA/ | es_ES |
dc.rights.accessRights | Cerrado | 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. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada | es_ES |
dc.description.bibliographicCitation | Sanchez, M.; Juste Vidal, BJ.; Vidal, V.; Verdú Martín, GJ.; Mayo Nogueira, P.; Ródenas Escribá, FDA. (2014). Dose reduction using non lineal diffusion and smoothing filters in computed radiography. Radiation Physics and Chemistry. 95:305-308. https://doi.org/10.1016/j.radphyschem.2013.03.017 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.radphyschem.2013.03.017 | es_ES |
dc.description.upvformatpinicio | 305 | es_ES |
dc.description.upvformatpfin | 308 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 95 | es_ES |
dc.relation.senia | 282174 | es_ES |
dc.contributor.funder | Ministerio de Ciencia e Innovación | es_ES |
dc.contributor.funder | Generalitat Valenciana | es_ES |
dc.contributor.funder | Dirección General de Educación Superior Tecnológica, México | es_ES |