Exploiting parallelism in a X-ray tomography reconstruction algorithm on hybrid multi-GPU and multi-core platforms

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dc.contributor.author Liria, Ernesto
dc.contributor.author Higuero, Daniel
dc.contributor.author Abella García, Mónica
dc.contributor.author Molina, Claudia de
dc.contributor.author Desco Menéndez, Manuel
dc.date.accessioned 2015-03-02T12:11:40Z
dc.date.available 2015-03-02T12:11:40Z
dc.date.issued 2012
dc.identifier.bibliographicCitation Proceedings of the 2012 10th IEEE International Symposium on Parallel and Distributed Processing with Applications: 10-13 July 2012. Madrid, Spain (2012). IEEE, 867-868.
dc.identifier.isbn 978-0-7695-4701-5
dc.identifier.uri http://hdl.handle.net/10016/20119
dc.description Proceedings of: 2012 10 th IEEE International Symposium on Parallel and Distributes Processing with Applicatioons (ISPA 2012). Leganés, Madrid, 10-13 July 2012.
dc.description.abstract Most small-animal X-ray computed tomography (CT) scanners are based on cone-beam geometry with a flat-panel detector orbiting in a circular trajectory. Image reconstruction in these systems is usually performed by approximate methods based on the algorithm proposed by Feldkamp et al. Currently there are a strong need to speed-up the reconstruction of XRay CT data in order to extend its clinical applications. We present an efficient modular implementation of an FDK-based reconstruction algorithm that takes advantage of the parallel computing capabilities and the efficient bilinear interpolation provided by general purpose graphic processing units (GPGPU). The proposed implementation of the algorithm is evaluated for a high-resolution micro-CT and achieves a speed-up of 46, while preserving the reconstructed image quali
dc.description.sponsorship This work has been partially funded by AMIT Project CDTI CENIT, TEC2007-64731, TEC2008-06715-C02-01, RD07/0014/2009, TRA2009 0175, RECAVA-RETIC, RD09/0077/00087 (Ministerio de Ciencia e Innovacion), ARTEMIS S2009/DPI-1802 (Comunidad de Madrid), and TIN2010-16497 (Ministerio de Ciencia e Innovacion).
dc.format.extent 2
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Ieee - The Institute Of Electrical And Electronics Engineers, Inc
dc.rights © 2012 IEEE.
dc.subject.other X-ray microscopy
dc.subject.other Computerised tomography
dc.subject.other Geometry
dc.subject.other Graphics processing units
dc.subject.other Image reconstruction
dc.subject.other Medical image processing
dc.subject.other Multiprocessing systems
dc.subject.other Parallel processing
dc.title Exploiting parallelism in a X-ray tomography reconstruction algorithm on hybrid multi-GPU and multi-core platforms
dc.type conferenceObject
dc.type bookPart
dc.description.status Publicado
dc.relation.publisherversion http://dx.doi.org/10.1109/ISPA.2012.138
dc.subject.eciencia Biología y Biomedicina
dc.subject.eciencia Medicina
dc.rights.accessRights openAccess
dc.relation.projectID Comunidad de Madrid. S2009/DPI-1802/ARTEMIS
dc.relation.projectID Gobierno de España. TIN2010-16497
dc.relation.projectID Gobierno de España. TEC2007-64731
dc.relation.projectID Gobierno de España. TEC2008-06715-C02-01
dc.relation.projectID Gobierno de España. RD07/0014/2009
dc.relation.projectID Gobierno de España. TRA2009 0175
dc.relation.projectID Gobierno de España. RD09/0077/00087
dc.type.version acceptedVersion
dc.relation.eventdate 10-13 July 2012.
dc.relation.eventnumber 10
dc.relation.eventplace Leganés, Madrid
dc.relation.eventtitle 2012 10 th IEEE International Symposium on Parallel and Distributes Processing with Applicatioons (ISPA 2012)
dc.relation.eventtype Proceeding
dc.identifier.publicationfirstpage 867
dc.identifier.publicationlastpage 868
dc.identifier.publicationtitle Proceedings of the 2012 10th IEEE International Symposium on Parallel and Distributed Processing with Applications: 10-13 July 2012. Madrid, Spain
dc.identifier.uxxi CC/0000016027
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