Show simple item record

dc.contributor.authorBarbano, PE.
dc.contributor.authorFokas, A.S.
dc.contributor.authorKastis, G.A.
dc.date.accessioned2016-02-25T12:42:14Z
dc.date.available2016-02-25T12:42:14Z
dc.date.issued2009-07
dc.identifier.citationBarbano P, Fokas AS, Kastis GA (2009) Analytical reconstructions for PET and spect employing L1-denoising. 2009 16th International Conference on Digital Signal Processing. Available: http://dx.doi.org/10.1109/icdsp.2009.5201187.
dc.identifier.doi10.1109/icdsp.2009.5201187
dc.identifier.urihttp://hdl.handle.net/10754/597569
dc.description.abstractWe propose an efficient, deterministic algorithm designed to reconstruct images from real Radon-Transform and Attenuated Radon-Transform data. Its input consists in a small family of recorded signals, each sampling the same composite photon or positron emission scene over a non-Gaussian, noisy channel. The reconstruction is performed by combining a novel numerical implementation of an analytical inversion formula [1] and a novel signal processing technique, inspired by the work of Tao and Candes [2] on code reconstruction. Our approach is proven to be optimal under a variety of realistic assumptions. We also indicate several medical imaging applications for which the new technology achieves high fidelity, even when dealing with real data subject to substantial non-Gaussian distortions. © 2009 IEEE.
dc.description.sponsorshipThis work was partially funded by KAUST. We are also grateful to Captain V. Constantakopoulos for his generous support.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectImage reconstruction
dc.subjectNon-linear processing
dc.subjectRadon transform
dc.titleAnalytical reconstructions for PET and spect employing L$^{1}$-denoising
dc.typeConference Paper
dc.identifier.journal2009 16th International Conference on Digital Signal Processing
dc.contributor.institutionUniversity of Cambridge, Cambridge, United Kingdom
dc.contributor.institutionThorax Foundation, Athens, Greece


This item appears in the following Collection(s)

Show simple item record