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dc.contributor.authorCabello, J
dc.contributor.authorGillam, JE
dc.contributor.authorRafecas, M
dc.date.accessioned2020-12-18T03:47:47Z
dc.date.available2020-12-18T03:47:47Z
dc.date.issued2012
dc.identifier.citationCabello, J., Gillam, J. E. & Rafecas, M. (2012). High Performance 3D PET Reconstruction Using Spherical Basis Functions on a Polar Grid.. Int J Biomed Imaging, 2012, pp.452910-. https://doi.org/10.1155/2012/452910.
dc.identifier.issn1687-4188
dc.identifier.urihttp://hdl.handle.net/11343/255922
dc.description.abstractStatistical iterative methods are a widely used method of image reconstruction in emission tomography. Traditionally, the image space is modelled as a combination of cubic voxels as a matter of simplicity. After reconstruction, images are routinely filtered to reduce statistical noise at the cost of spatial resolution degradation. An alternative to produce lower noise during reconstruction is to model the image space with spherical basis functions. These basis functions overlap in space producing a significantly large number of non-zero elements in the system response matrix (SRM) to store, which additionally leads to long reconstruction times. These two problems are partly overcome by exploiting spherical symmetries, although computation time is still slower compared to non-overlapping basis functions. In this work, we have implemented the reconstruction algorithm using Graphical Processing Unit (GPU) technology for speed and a precomputed Monte-Carlo-calculated SRM for accuracy. The reconstruction time achieved using spherical basis functions on a GPU was 4.3 times faster than the Central Processing Unit (CPU) and 2.5 times faster than a CPU-multi-core parallel implementation using eight cores. Overwriting hazards are minimized by combining a random line of response ordering and constrained atomic writing. Small differences in image quality were observed between implementations.
dc.languageeng
dc.publisherHindawi Limited
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.titleHigh Performance 3D PET Reconstruction Using Spherical Basis Functions on a Polar Grid.
dc.typeJournal Article
dc.identifier.doi10.1155/2012/452910
melbourne.affiliation.departmentCentre for Youth Mental Health
melbourne.source.titleInternational Journal of Biomedical Imaging
melbourne.source.volume2012
melbourne.source.pages452910-
dc.rights.licenseCC BY
melbourne.elementsid1308858
melbourne.openaccess.pmchttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC3323846
melbourne.contributor.authorGillam, John
dc.identifier.eissn1687-4196
melbourne.accessrightsOpen Access


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