Title :
Optimal and Robust PET Data Sinogram Restoration Based on the Response of the System
Author :
Herraiz, J.L. ; España, S. ; Vicente, E. ; Vaquero, J.J. ; Desco, M. ; Udías, J.M.
Author_Institution :
Dpto. Fisica Atomica, Molecular y Nucl., Univ. Complutense de Madrid
fDate :
Oct. 29 2006-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 without the introduction of additional noise and enhancing the quality (resolution, contrast) of the images reconstructed using FBP.
Keywords :
Fourier analysis; deconvolution; expectation-maximisation algorithm; image reconstruction; maximum likelihood detection; medical image processing; positron emission tomography; EMML algorithm; Fourier Rebinned sonogram; PET data sinogram restoration; axial point spread function; deconvolution kernel; images reconstruction; iterative deconvolution; positron emission tomography; system response matrix; Positron emission tomography; Robustness; Image reconstruction; Noise; Positron emission tomography; Resolution; Sinogram Restoration;
Conference_Titel :
Nuclear Science Symposium Conference Record, 2006. IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
1-4244-0560-2
Electronic_ISBN :
1095-7863
DOI :
10.1109/NSSMIC.2006.353732
