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18th International Conference on Pattern Recognition (ICPR'06) Volume 4
A Nonlinear Variational Model for PET Reconstruction
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
ASCII Text
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Jianhua Yan, Jun Yu, "A Nonlinear Variational Model for PET Reconstruction," Pattern Recognition, International Conference on, vol. 4, pp. 699-702, 18th International Conference on Pattern Recognition (ICPR'06) Volume 4, 2006.
 
 
BibTex
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@article{ 10.1109/ICPR.2006.131,
author = {Jianhua Yan and Jun Yu},
title = {A Nonlinear Variational Model for PET Reconstruction},
journal ={Pattern Recognition, International Conference on},
volume = {4},
year = {2006},
issn = {1051-4651},
pages = {699-702},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.131},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - A Nonlinear Variational Model for PET Reconstruction
SN - 1051-4651
SP699
EP702
A1 - Jianhua Yan,
A1 - Jun Yu,
PY - 2006
KW - null
VL - 4
JA - Pattern Recognition, International Conference on
ER -
 
Jianhua Yan, Huazhong University of Science and Technology, China
Jun Yu, Huazhong University of Science and Technology, China
PET image was often influenced by noise. In this paper, we proposed a nonlinear variational model for improving reconstruction of PET images. The use of variational model was due to its effectiveness for reducing noise in 2D images while preserving edges. Our results indicated that the proposed method application to computer-simulated and real PET phantom outperformed the conventional method in terms of both visual quality and quantitative accuracy.
Citation:
Jianhua Yan, Jun Yu, "A Nonlinear Variational Model for PET Reconstruction," icpr, vol. 4, pp.699-702, 18th International Conference on Pattern Recognition (ICPR'06) Volume 4, 2006
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