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Optimal and robust PET data sinogram restoration based on the response of the system

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URI: https://hdl.handle.net/10016/12238
ISSN: 1082-3654
ISBN: 1-4244-0560-2
DOI: 10.1109/NSSMIC.2006.353732
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optimal_IEEE_2006_ps.pdf (3.04 MB)
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2007
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IEEE
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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.
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Proceeding of: 2006 IEEE Nuclear Science Symposium Conference Record, San Diego, CA, Oct. 29 - Nov. 1, 2006
Keywords
Positron Emission Tomography (PET), Sinogram Restoration, Image reconstruction, Resolution, Noise
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Published in: 2006 IEEE Nuclear Science Symposium Conference Record, 2006, vol. 6, p. 3404 - 3407
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