This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
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
x 
 
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," 2012 25th SIBGRAPI Conference on Graphics, Patterns and Images, pp. 13-20, XVIII Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI'05), 2005.
 
 
BibTex
x
 
@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 ={2012 25th SIBGRAPI Conference on Graphics, Patterns and Images},
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
x 
 
TY - CONF
JO - 2012 25th SIBGRAPI Conference on Graphics, Patterns and Images
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 - 2012 25th SIBGRAPI Conference on Graphics, Patterns and Images
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
Usage of this product signifies your acceptance of the Terms of Use.