Fully 3D GPU PET reconstruction

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dc.contributor.author Herraiz, J. L.
dc.contributor.author España, Samuel
dc.contributor.author Cal González, Jacobo
dc.contributor.author Vaquero López, Juan José
dc.contributor.author Desco Menéndez, Manuel
dc.contributor.author Udías, José Manuel
dc.date.accessioned 2012-06-26T10:00:36Z
dc.date.available 2012-06-26T10:00:36Z
dc.date.issued 2011-08-21
dc.identifier.bibliographicCitation Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, vol. 648, suplement 1, 21 august 2011. Pp. S169-S171
dc.identifier.issn 0168-9002
dc.identifier.uri http://hdl.handle.net/10016/14689
dc.description.abstract Fully 3D iterative tomographic image reconstruction is computationally very demanding. Graphics Processing Unit(GPU) has be enproposed formany years as potential accelerators incomplex scientific problems, but it has not be enuseduntil there cent advances in the programmability of GPU sthat the best available reconstruction code shave started tobe implemented toberunon GPUs. This work presents a GPU based fully 3D PET iterative reconstruction sofware. This new code may reconstruct sinogram data from several commercially available PET scanners. The most important and time consuming part soft he code,the forward and backward projection operations, arebasedonan accurate model of the scanner obtained with the MonteCarlo code PeneloPET and they have been massively parallelize don the GPU.For the PET scanners considered, the GPU based code is more than 70 times faster than asimilar code running on a single core of a fast CPU, obtainingin both cases the same images. The code has been designed to be easily adapted to reconstruct sinograms from any other PET scanner, including scanner prototypes.
dc.description.sponsorship This work has been supported by MEC(FPA200762216), UCM (Grupos UCM,910059), CPAN(Consolider Ingenio 2010) CSPD 200700042,the RECAVARETIC network, ARTEMISS2009/ DPI 1802, European Regional Development,ENTEPRASE grant, PSE 30000020095 and TEC20080675C0201, Ministerio de Ciencia e Innovación, Spanish Government.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Elsevier
dc.rights © Elsevier
dc.subject.other Tomographic reconstruction
dc.subject.other Positron Emission Tomography (PET)
dc.subject.other Graphics processingunit
dc.title Fully 3D GPU PET reconstruction
dc.type article
dc.description.status Publicado
dc.relation.publisherversion http://dx.doi.org/10.1016/j.nima.2010.12.043
dc.subject.eciencia Biología y Biomedicina
dc.identifier.doi 10.1016/j.nima.2010.12.043
dc.rights.accessRights openAccess
dc.relation.projectID Comunidad de Madrid. S2009/DPI-1802/ARTEMIS
dc.relation.projectID Gobierno de España. FPA2007-62216
dc.relation.projectID Gobierno de España. PSE-300000-2009
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage S169
dc.identifier.publicationissue suplement 1
dc.identifier.publicationlastpage S171
dc.identifier.publicationtitle Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
dc.identifier.publicationvolume 648
dc.identifier.uxxi AR/0000014651
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