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dc.contributor.author | Flores, Liubov Alexandrovna | es_ES |
dc.contributor.author | Vidal, Vicent | es_ES |
dc.contributor.author | Verdú Martín, Gumersindo Jesús | es_ES |
dc.date.accessioned | 2016-06-03T09:37:25Z | |
dc.date.available | 2016-06-03T09:37:25Z | |
dc.date.issued | 2015 | |
dc.identifier.issn | 1877-0509 | |
dc.identifier.uri | http://hdl.handle.net/10251/65189 | |
dc.description.abstract | [EN] In the medical imaging field, iterative methods have become a hot topic of research due to their capacity to resolve the reconstruction problem from a limited number of projections. This gives a good possibility to reduce radiation exposure on patients during the data acquisition. However, due to the complexity of the data, the reconstruction process is still time consuming, especially for 3D cases, even though implemented on modern computer architecture. Time of the reconstruction and high radiation dose imposed on patients are two major drawbacks in computed tomography. With the aim to resolve them effectively, we adapted Least Square QR method with soft threshold filtering technique for few-view image reconstruction and present its numerical validation. The method is implemented using CUDA programming mode and compared to standard SART algorithm. The numerical simulations and qualitative analysis of the reconstructed images show the reliability of the presented method. | es_ES |
dc.description.sponsorship | This work has been supported by Universitat Politècnica de València and partially funded by ANITRAN PROMETEOII/2014/008 of the Generalitat Valenciana of Spain. | |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Procedia Computer Science | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | CT reconstruction | es_ES |
dc.subject | Iterative algorithms | 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 | Iterative reconstruction from few-view projections | es_ES |
dc.type | Artículo | es_ES |
dc.type | Comunicación en congreso | |
dc.identifier.doi | 10.1016/j.procs.2015.05.188 | |
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.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, V.; Verdú Martín, GJ. (2015). Iterative reconstruction from few-view projections. Procedia Computer Science. 51:703-712. https://doi.org/10.1016/j.procs.2015.05.188 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.conferencename | 15th Annual International Conference on Computational Science (ICCS) | |
dc.relation.conferencedate | June 01-03, 2015 | |
dc.relation.conferenceplace | Reykjavik, Iceland | |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.procs.2015.05.188 | es_ES |
dc.description.upvformatpinicio | 703 | es_ES |
dc.description.upvformatpfin | 712 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 51 | es_ES |
dc.relation.senia | 306863 | es_ES |
dc.contributor.funder | Generalitat Valenciana | |
dc.contributor.funder | Universitat Politècnica de València | es_ES |