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Please use this identifier to cite or link to this item: http://hdl.handle.net/10016/12238

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Title: Optimal and robust PET data sinogram restoration based on the response of the system
Author(s): Herraiz, J. L.
España, Samuel
Vicente, Esther
Vaquero, Juan José
Desco, Manuel
Udías, José Manuel
Publisher: IEEE
Issued date: 2007
Citation: Published in: 2006 IEEE Nuclear Science Symposium Conference Record, 2006, vol. 6, p. 3404 - 3407
URI: http://hdl.handle.net/10016/12238
ISBN: 1-4244-0560-2
ISSN: 1082-3654
DOI: http://dx.doi.org/10.1109/NSSMIC.2006.353732
Description: Proceeding of: 2006 IEEE Nuclear Science Symposium Conference Record, San Diego, CA, Oct. 29 - Nov. 1, 2006
Abstract: We present an optimal and robust technique for the restoration of positron emission tomography (PET) data. It is based on an iterative deconvolution of Fourier Rebinned (FORE) sinograms employing the EM-ML algorithm regularized with MAP. The deconvolution kernel is related to the System Response Matrix (SRM) and the axial point spread function(PSF) caused by FORE. This method is able to deblur the acquired data whitout the introduction of additional noise and enhancing the quality (resolution, contrast) of the images reconstructed using FBP.
Sponsor: Support from UCM grant. J.M. Udias acknowledges support from MEC (FPA2006- 07393) and CENIT (Ministerio de Industria, Spain). Part of the computations of this work were done at the “High capacity cluster for physical techniques” of the Faculty for Physical Sciences of UCM, funded in part by the UE under the FEDER program and in part by the UCM.
Publisher version: http://dx.doi.org/10.1109/NSSMIC.2006.353732
Keywords: Positron emission tomography
Sinogram Restoration
Image reconstruction
Resolution
Noise
Rights: © IEEE
Appears in Collections:DBIAB - Proceedings
DBIAB - Book Chapters

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