Automatic Monte-Carlo Based Scatter correction for X-ray Cone Beam CT using General Purpose Graphic Processing Units (GP-GPU): a Feasibility study

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dc.contributor.author Sisniega, Alejandro
dc.contributor.author Abella García, Mónica
dc.contributor.author Desco Menéndez, Manuel
dc.contributor.author Vaquero López, Juan José
dc.contributor.author Lage Negro, Eduardo
dc.date.accessioned 2015-02-24T12:25:40Z
dc.date.available 2015-02-24T12:25:40Z
dc.date.issued 2011
dc.identifier.bibliographicCitation 2011 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC): Valencia, Spain. 23-29 October 2011 (2011). IEEE, 3705-3709.
dc.identifier.isbn 978-1-4673-0118-3
dc.identifier.issn 1082-3654
dc.identifier.uri http://hdl.handle.net/10016/20087
dc.description Proceedings of: 2011 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). Valencia, Spain, 23-29 October 2011
dc.description.abstract Scattered photons highly degrade the quality of X-ray images and their effect has become more important due to the increasing interest in cone-beam geometry for the acquisition of CT (CBCT) and micro-CT data. The random nature of scatter events and the great influence of the sample suggest that the most accurate methods for their estimation are Monte Carlo (MC) techniques, but their use is usually hampered by the large computation time required to obtain an acceptable estimation of the scattered radiation. We present an approach for scatter correction in CBCT by MC estimation, speeding up the computation by means of general purpose graphic processing units (GPGPU) and developing a framework for the automatic correction and reconstruction of projection data. The method consists of five stages: FDK reconstruction of the original data; histogram based automatic segmentation of the volume assigning a material and density to each voxel; fast MC estimation of the scatter signal; denoising of the independent scatter components and subtraction from original data; and FDK reconstruction of the corrected data. Every stage runs in a GPGPU using Nvidia CUD A. The MC stage is based on the MC-GPU code. To simulate polychromatic X-ray beams, the Spektr model is used to generate the source spectrum. Photon scattering is forced in order to reduce the number of events needed to obtain an acceptable scatter image weighting the photon histories to assure the correctness of the result. Further reduction in the variance is obtained by split the photon in several virtual photons which are forced point to the detector and are transported with no further interaction to the detector's surface. Furthermore, the divergence of the execution path of GPGPU kernels has been minimized. These techniques achieve a reduction of the variance of the scatter signal of two orders of magnitude and the final efficiency is improved by a factor of ~30.
dc.description.sponsorship This work has been partially funded by the Spain Ministry of Education, FPU program; Spain Ministry of Science and Innovation, projects TEC2008-06715 and TEC2007-64731; CDTI under the CENIT Programme (AMIT Project); Comunidad de Madrid (ARTEMIS S2009/DPI-1802); and EU-FP7, FMTXCT-201792
dc.format.extent 5
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Ieee - The Institute Of Electrical And Electronics Engineers, Inc
dc.rights © 2011 IEEE.
dc.subject.other Monte Carlo methods
dc.subject.other Computerised tomography
dc.subject.other Image reconstruction
dc.subject.other Medical image processing
dc.title Automatic Monte-Carlo Based Scatter correction for X-ray Cone Beam CT using General Purpose Graphic Processing Units (GP-GPU): a Feasibility study
dc.type conferenceObject
dc.type bookPart
dc.description.status Publicado
dc.relation.publisherversion http://dx.doi.org/10.1109/NSSMIC.2011.6153699
dc.subject.eciencia Biología y Biomedicina
dc.subject.eciencia Medicina
dc.identifier.doi 10.1109/NSSMIC.2011.6153699
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/201792
dc.relation.projectID Comunidad de Madrid. S2009/DPI-1802/ARTEMIS
dc.type.version acceptedVersion
dc.relation.eventdate 23-29 October 2011
dc.relation.eventplace Valencia, Spain
dc.relation.eventtitle IEEE Nuclear Science Symposium and Medial Imaging Conference (NSS-MIC)
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 3705
dc.identifier.publicationlastpage 3709
dc.identifier.publicationtitle 2011 IEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
dc.identifier.uxxi CC/0000016121
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