Impact of view reduction in CT on radiation dose for patients

Verdu, G.; Vidal, V.; Flores, Liubov A.; Sanchez, M. G.; Parcero, E.

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.ispartofseries	Radiation Physics and Chemistry
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#1.03.00
dc.subject.ocde	https://purl.org/pe-repo/ocde/ford#1.04.00
dc.relation.issn	1879-0895