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XVIII Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI'05)
On the Effect of Relaxation in the Convergence and Quality of Statistical Image Reconstruction for Emission Tomography Using Block-Iterative Algorithms
Natal, Rio Grande do Norte, Brazil
October 09-October 12
ISBN: 0-7695-2389-7
ASCII Text
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Elias Salomão Helou Neto, Álvaro Rodolfo De Pierro, "On the Effect of Relaxation in the Convergence and Quality of Statistical Image Reconstruction for Emission Tomography Using Block-Iterative Algorithms," Computer Graphics and Image Processing, Brazilian Symposium on, pp. 13-20, XVIII Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI'05), 2005.
 
 
BibTex
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@article{ 10.1109/SIBGRAPI.2005.35,
author = {Elias Salomão Helou Neto and Álvaro Rodolfo De Pierro},
title = {On the Effect of Relaxation in the Convergence and Quality of Statistical Image Reconstruction for Emission Tomography Using Block-Iterative Algorithms},
journal ={Computer Graphics and Image Processing, Brazilian Symposium on},
volume = {0},
year = {2005},
issn = {1530-1834},
pages = {13-20},
doi = {http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2005.35},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer Graphics and Image Processing, Brazilian Symposium on
TI - On the Effect of Relaxation in the Convergence and Quality of Statistical Image Reconstruction for Emission Tomography Using Block-Iterative Algorithms
SN - 1530-1834
SP13
EP20
A1 - Elias Salomão Helou Neto,
A1 - Álvaro Rodolfo De Pierro,
PY - 2005
KW - null
VL - 0
JA - Computer Graphics and Image Processing, Brazilian Symposium on
ER -
 
Elias Salomão Helou Neto, Universidade Estadual de Campinas
Álvaro Rodolfo De Pierro, Universidade Estadual de Campinas
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.
Citation:
Elias Salomão Helou Neto, Álvaro Rodolfo De Pierro, "On the Effect of Relaxation in the Convergence and Quality of Statistical Image Reconstruction for Emission Tomography Using Block-Iterative Algorithms," sibgrapi, pp.13-20, XVIII Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI'05), 2005
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