DocumentCode
1554783
Title
Comparison of FORE, OSEM and SAGE algorithms to 3DRP in 3D PET using phantom and human subject data
Author
Krzywinski, M. ; Sossi, V. ; Ruth, T.J.
Author_Institution
TRIUMF, Vancouver, BC, Canada
Volume
46
Issue
4
fYear
1999
fDate
8/1/1999 12:00:00 AM
Firstpage
1114
Lastpage
1120
Abstract
Using phantom and human subject data, the authors have compared a number of reconstruction algorithms to the current “gold standard” method, 3D Reprojection Method (3DRP), in an effort to validate them as practical 3D reconstruction alternatives for dynamic PET scanning. The algorithms evaluated were (a) Fourier Rebinning (FORE) followed by 2D Filtered Back Projection (2D FBP), (b) FORE followed by Ordered Subsets Expectation-Maximization (OSEM) and (c) FORE followed by Space Alternating Generalized Expectation-Maximization (SAGE). The main benefits of these methods are two-fold: significantly shorter reconstruction times and improved signal-to-noise ratio at matched resolution for the iterative schemes. The authors demonstrate that FORE+2D FBP can replace 3DRP with no significant impact on subsequent data analysis. In particular, distribution volume ratios (DVRs) obtained with FORE+2D FBP differed from those obtained with 3DRP by 0.3±0.7% (n=33) and -0.7±1.1% (n=27) for cortical and cerebellar input functions, respectively. Both OSEM and SAGE performed well compared to 3DRP, with improved noise characteristics and DVR differences of <3%
Keywords
brain; image reconstruction; image resolution; iterative methods; medical image processing; positron emission tomography; 3D PET; 3DRP; FORE algorithm; OSEM algorithm; SAGE algorithm; cerebellar input; cortical input; data analysis; human subject data; improved signal-to-noise ratio; iterative schemes; medical diagnostic imaging; nuclear medicine; phantom data; shortened reconstruction times; Computer hacking; Convergence; Hardware; Humans; Image reconstruction; Imaging phantoms; Positron emission tomography; Sampling methods; Statistics; Testing;
fLanguage
English
Journal_Title
Nuclear Science, IEEE Transactions on
Publisher
ieee
ISSN
0018-9499
Type
jour
DOI
10.1109/23.790842
Filename
790842
Link To Document