DocumentCode
2610634
Title
A Nonlinear Variational Model for PET Reconstruction
Author
Yan, Jianhua ; Yu, Jun
Author_Institution
Dept. of Electron. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan
Volume
4
fYear
0
fDate
0-0 0
Firstpage
699
Lastpage
702
Abstract
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
Keywords
Poisson distribution; Radon transforms; image denoising; image reconstruction; medical image processing; positron emission tomography; variational techniques; PET image reconstruction; edge preservation; image noise reduction; nonlinear variational; phantom; Application software; Computer applications; Detectors; Electron emission; Event detection; Image reconstruction; Imaging phantoms; Iterative algorithms; Noise reduction; Positron emission tomography;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location
Hong Kong
ISSN
1051-4651
Print_ISBN
0-7695-2521-0
Type
conf
DOI
10.1109/ICPR.2006.131
Filename
1699937
Link To Document