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dc.contributor.author | Rodríguez Álvarez, María José | es_ES |
dc.contributor.author | Soriano Asensi, Antonio | es_ES |
dc.contributor.author | Iborra Carreres, Amadeo | es_ES |
dc.contributor.author | Sánchez Martínez, Filomeno | es_ES |
dc.contributor.author | González Martínez, Antonio Javier | es_ES |
dc.contributor.author | Conde, P. | es_ES |
dc.contributor.author | Hernández Hernández, Liczandro | es_ES |
dc.contributor.author | Moliner Martínez, Laura | es_ES |
dc.contributor.author | Orero Palomares, Abel | es_ES |
dc.contributor.author | Vidal San Sebastián, Luis Fernando | es_ES |
dc.contributor.author | Benlloch Baviera, Jose María | es_ES |
dc.date.accessioned | 2014-06-06T09:37:57Z | |
dc.date.issued | 2013-09-01 | |
dc.identifier.issn | 0010-4825 | |
dc.identifier.uri | http://hdl.handle.net/10251/37967 | |
dc.description.abstract | We suggest a symmetric-polar pixellation scheme which makes possible a reduction of the computational cost for expectation maximization (EM) iterative algorithms. The proposed symmetric-polar pixellation allows us to deal with 3D images as a whole problem without dividing the 3D problem into 2D slices approach. Performance evaluation of each approach in terms of stability and image quality is presented. Exhaustive comparisons between all approaches were conducted in a 2D based image reconstruction model. From these 2D approaches, that showing the best performances were finally implemented and evaluated in a 3D based image reconstruction model. Comparison to 3D images reconstructed with FBP is also presented. Although the algorithm is presented in the context of computed tomography (CT) image reconstruction, it can be applied to any other tomographic technique as well, due to the fact that the only requirement is a scanning geometry involving measurements of an object under different projection angles. Real data have been acquired with a small animal (CT) scanner to verify the proposed mathematical description of the CT system. | es_ES |
dc.description.sponsorship | This work was supported by the Spanish Plan Nacional de Investigacion Cientifica, Desarrollo e Innovacion Tecnologica (I+D+I) under Grant, FIS2010-21216-CO2-01, Valencian Local Government under Grant Nos. PROMETEO 2008/114 and APOSTD/2010/012. The authors would like to thank Brennan Holt for checking and correcting the text. | en_EN |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Computers in Biology and Medicine | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Computed tomography | es_ES |
dc.subject | Polar geometry | es_ES |
dc.subject | MLEM | es_ES |
dc.subject | FBP | es_ES |
dc.subject | OSEM | es_ES |
dc.subject | 3D images | es_ES |
dc.subject.classification | MATEMATICA APLICADA | es_ES |
dc.title | Expectation maximization (EM) algorithms using polar symmetriesfor computed tomography(CT) image reconstruction | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.compbiomed.2013.04.015 | |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//FIS2010-21216-C02-01/ES/DESARROLLO DEL DETECTOR PET%2FRM PARA DIAGNOSTICO DE ENFERMEDADES NEURODEGENERATIVAS/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GVA//PROMETEO08%2F2008%2F114/ES/Desarrollo de tecnología PET%2FRM para estudio cerebro en humanos/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GVA//APOSTD%2F2010%2F012/ | es_ES |
dc.rights.accessRights | Abierto | 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. Instituto de Instrumentación para Imagen Molecular - Institut d'Instrumentació per a Imatge Molecular | es_ES |
dc.description.bibliographicCitation | Rodríguez Álvarez, MJ.; Soriano Asensi, A.; Iborra Carreres, A.; Sánchez Martínez, F.; González Martínez, AJ.; Conde, P.; Hernández Hernández, L.... (2013). Expectation maximization (EM) algorithms using polar symmetriesfor computed tomography(CT) image reconstruction. Computers in Biology and Medicine. 43(8):1053-1061. https://doi.org/10.1016/j.compbiomed.2013.04.015 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.compbiomed.2013.04.015 | es_ES |
dc.description.upvformatpinicio | 1053 | es_ES |
dc.description.upvformatpfin | 1061 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 43 | es_ES |
dc.description.issue | 8 | es_ES |
dc.relation.senia | 246065 | |
dc.contributor.funder | Ministerio de Ciencia e Innovación | es_ES |
dc.contributor.funder | Generalitat Valenciana | es_ES |