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Impact of view reduction in CT on radiation dose for patients

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dc.contributor.author Parcero, E.
dc.contributor.author Flores, Liubov A.
dc.contributor.author Sanchez, M. G.
dc.contributor.author Vidal, V.
dc.contributor.author Verdu, G.
dc.date.accessioned 2019-01-25T16:36:29Z
dc.date.available 2019-01-25T16:36:29Z
dc.date.issued 2017
dc.identifier.uri https://hdl.handle.net/20.500.12866/4858
dc.description.abstract 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. en_US
dc.language.iso eng
dc.publisher Elsevier
dc.relation.ispartof urn:issn:1879-0895
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject CT en_US
dc.subject reconstruction en_US
dc.subject Physics en_US
dc.subject algorithm en_US
dc.subject Chemistry en_US
dc.subject Few-view en_US
dc.subject Noise reduction en_US
dc.subject Nuclear medicine en_US
dc.subject Nuclear Science & Technology en_US
dc.subject x-ray ct en_US
dc.title Impact of view reduction in CT on radiation dose for patients en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.1016/j.radphyschem.2016.01.038
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#3.02.00 es_PE
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#1.03.00
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#1.04.00


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