dc.contributor.author |
Parcero Iglesias, Estíbaliz
|
es_ES |
dc.contributor.author |
Flores, Liubov
|
es_ES |
dc.contributor.author |
Sánchez, Maria Guadalupe
|
es_ES |
dc.contributor.author |
Vidal-Gimeno, Vicente-Emilio
|
es_ES |
dc.contributor.author |
Verdú Martín, Gumersindo Jesús
|
es_ES |
dc.date.accessioned |
2020-10-04T03:31:34Z |
|
dc.date.available |
2020-10-04T03:31:34Z |
|
dc.date.issued |
2017-08 |
es_ES |
dc.identifier.issn |
0969-806X |
es_ES |
dc.identifier.uri |
http://hdl.handle.net/10251/151035 |
|
dc.description.abstract |
[EN] Iterative methods have become a hot topic of research in computed tomography (CT) imaging because of their capacity to resolve the reconstruction problem from a limited number of projections. This allows the reduction of radiation exposure on patients during the data acquisition. The reconstruction time and the high radiation dose imposed on patients are the two major drawbacks in CT. To solve them effectively we adapted the method for sparse linear equations and sparse least squares (LSQR) with soft threshold filtering (STF) and the fast iterative shrinkage-thresholding algorithm (FISTA) to computed tomography reconstruction. The feasibility of the proposed methods is demonstrated numerically. (C) 2016 Elsevier Ltd. All rights reserved. |
es_ES |
dc.description.sponsorship |
This work has been supported by Universitat Politecnica de Valencia and the project N3D-VALKIN PROMETEOII/2014/008 of the Generalitat Valenciana of Spain. |
es_ES |
dc.language |
Inglés |
es_ES |
dc.publisher |
Elsevier |
es_ES |
dc.relation.ispartof |
Radiation Physics and Chemistry |
es_ES |
dc.rights |
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) |
es_ES |
dc.subject |
Nuclear medicine |
es_ES |
dc.subject |
CT |
es_ES |
dc.subject |
Noise reduction |
es_ES |
dc.subject |
Few-view |
es_ES |
dc.subject.classification |
INGENIERIA NUCLEAR |
es_ES |
dc.subject.classification |
CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL |
es_ES |
dc.title |
Impact of view reduction in CT on radiation dose for patients |
es_ES |
dc.type |
Artículo |
es_ES |
dc.type |
Comunicación en congreso |
es_ES |
dc.identifier.doi |
10.1016/j.radphyschem.2016.01.038 |
es_ES |
dc.relation.projectID |
info:eu-repo/grantAgreement/GVA//PROMETEOII%2F2014%2F008/ES/New improved capacities in 3d-VALKIN (Valencian Neutronic Kinetisc). N3D-VALKIN/ |
es_ES |
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.description.bibliographicCitation |
Parcero Iglesias, E.; Flores, L.; Sánchez, MG.; Vidal-Gimeno, V.; Verdú Martín, GJ. (2017). Impact of view reduction in CT on radiation dose for patients. Radiation Physics and Chemistry. 137:173-175. https://doi.org/10.1016/j.radphyschem.2016.01.038 |
es_ES |
dc.description.accrualMethod |
S |
es_ES |
dc.relation.conferencename |
13th International Symposium on Radiation Physics (ISRP-13) |
es_ES |
dc.relation.conferencedate |
Septiembre 07-11,2015 |
es_ES |
dc.relation.conferenceplace |
Beijing, China |
es_ES |
dc.relation.publisherversion |
https://doi.org/10.1016/j.radphyschem.2016.01.038 |
es_ES |
dc.description.upvformatpinicio |
173 |
es_ES |
dc.description.upvformatpfin |
175 |
es_ES |
dc.type.version |
info:eu-repo/semantics/publishedVersion |
es_ES |
dc.description.volume |
137 |
es_ES |
dc.relation.pasarela |
S\334559 |
es_ES |
dc.contributor.funder |
Universitat Politècnica de València |
es_ES |
dc.contributor.funder |
Generalitat Valenciana |
es_ES |