FUX-Sim: implementation of a fast universal simulation/reconstruction framework for X-ray systems

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dc.contributor.author Abella García, Mónica
dc.contributor.author Serrano López, Estefania
dc.contributor.author García Blas, Francisco Javier
dc.contributor.author García Barquero, Inés
dc.contributor.author Molina Gómez, Claudia de
dc.contributor.author Carretero Pérez, Jesús
dc.contributor.author Desco Menéndez, Manuel
dc.date.accessioned 2019-11-15T10:48:58Z
dc.date.available 2019-11-15T10:48:58Z
dc.date.issued 2017-07-10
dc.identifier.bibliographicCitation PLoS ONE 12(7): e0180363.
dc.identifier.issn 1932-6203
dc.identifier.uri http://hdl.handle.net/10016/29175
dc.description.abstract The availability of digital X-ray detectors, together with advances in reconstruction algorithms, creates an opportunity for bringing 3D capabilities to conventional radiology systems. The downside is that reconstruction algorithms for non-standard acquisition protocols are generally based on iterative approaches that involve a high computational burden. The development of new flexible X-ray systems could benefit from computer simulations, which may enable performance to be checked before expensive real systems are implemented. The development of simulation/reconstruction algorithms in this context poses three main difficulties. First, the algorithms deal with large data volumes and are computationally expensive, thus leading to the need for hardware and software optimizations. Second, these optimizations are limited by the high flexibility required to explore new scanning geometries, including fully configurable positioning of source and detector elements.
dc.description.sponsorship This work was funded by the projects TEC2013-47270-R, RTC-2014-3028-1, TIN2016-79637-P, DPI2016-79075-R, and the Cardiovascular Research Network (RIC, RD12/0042/0057) from the Spanish Ministerio de Economía y Competitividad (www.mineco.gob.es/) and, FPU14/03875 grant from the Spanish Ministerio de Educación, Cultura y Deporte (http://www.mecd.gob.es). We also thank NVidia for providing the Tesla K40 device used to perform the experiments.
dc.format.extent 22
dc.language.iso eng
dc.publisher Public Library of Science
dc.rights © 2018 Abella et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other FUX-Sim
dc.subject.other Digital X-Ray detectors
dc.subject.other Image processing
dc.subject.other Biotechnology
dc.title FUX-Sim: implementation of a fast universal simulation/reconstruction framework for X-ray systems
dc.type article
dc.subject.eciencia Biología y Biomedicina
dc.identifier.doi https://doi.org/10.1371/journal.pone.0180363
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. TEC2013-47270-R
dc.relation.projectID Gobierno de España. RTC-2014-3028-1
dc.relation.projectID Gobierno de España. TIN2016-79637-P
dc.relation.projectID Gobierno de España. DPI2016-79075-R
dc.relation.projectID Gobierno de España. RD12/0042/0057
dc.relation.projectID Gobierno de España. FPU14/03875
dc.type.version publishedVersion
dc.identifier.publicationissue 7(e0180363)
dc.identifier.publicationtitle PLoS ONE
dc.identifier.publicationvolume 12
dc.identifier.uxxi AR/0000020400
dc.contributor.funder Ministerio de Economía y Competitividad (España)
dc.contributor.funder Ministerio de Educación, Cultura y Deporte (España)
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