by Herraiz, J L, España, S, Vicente, E, Vaquero, J J, Desco, M and Udias, J M
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 deconvol…
Reference:
Optimal and Robust PET Data Sinogram Restoration Based on the Response of the System (Herraiz, J L, España, S, Vicente, E, Vaquero, J J, Desco, M and Udias, J M), In 2006 IEEE Nuclear Science Symposium Conference Record, IEEE, volume 6, 2006.
Bibtex Entry:
@article{Herraiz:2006ii,
author = {Herraiz, J L and Espa{~n}a, S and Vicente, E and Vaquero, J J and Desco, M and Udias, J M},
title = {{Optimal and Robust PET Data Sinogram Restoration Based on the Response of the System}},
journal = {2006 IEEE Nuclear Science Symposium Conference Record},
year = {2006},
volume = {6},
pages = {3404--3407},
publisher = {IEEE},
doi = {10.1109/NSSMIC.2006.353732},
isbn = {1-4244-0560-2},
issn = {1095-7863},
language = {English},
rating = {0},
date-added = {2014-11-11T11:20:45GMT},
date-modified = {2020-07-09T13:27:51GMT},
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 deconvol...},
url = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=4179774},
uri = {url{papers3://publication/doi/10.1109/NSSMIC.2006.353732}}
}