@InProceedings{HelouNetoPier:2005:EfReCo,
author = "Helou Neto, Elias Salom{\~a}o and De Pierro, {\'A}lvaro
Rodolfo",
affiliation = "UNICAMP",
title = "On the effect of relaxation in the convergence and quality of
statistical image reconstruction for emission tomography using
block-iterative algorithms",
booktitle = "Proceedings...",
year = "2005",
editor = "Rodrigues, Maria Andr{\'e}ia Formico and Frery, Alejandro
C{\'e}sar",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 18.
(SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "emission tomography, iterative algorithms.",
abstract = "Relaxation is widely recognized as a useful tool for providing
convergence in block-iterative algorithms [1], [2], [6]. In the
present article we give new results on the convergence of RAMLA
(Row Action Maximum Likelihood Algorithm) [2], filling some
important theoretical gaps. Furthermore, because RAMLA and OS-EM
(Ordered Subsets - Expectation Maximization) [4] are the
algorithms for statistical reconstruction currently being used in
commercial emission tomography scanners, we present a comparison
between them from the viewpoint of a specific imaging task. Our
experiments show the importance of relaxation to improve image
quality.",
conference-location = "Natal, RN, Brazil",
conference-year = "9-12 Oct. 2005",
doi = "10.1109/SIBGRAPI.2005.35",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2005.35",
language = "en",
ibi = "6qtX3pFwXQZeBBx/GwdPy",
url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/GwdPy",
targetfile = "heloue_tomography.pdf",
urlaccessdate = "2024, Apr. 28"
}