DocumentCode
438629
Title
Unified approach to statistical image reconstruction using dual ascent optimization
Author
Li, Meihua ; Kudo, Hiroyuki
Author_Institution
Graduate Sch. of Syst. & Inf. Eng., Tsukuba Univ., Ibaraki, Japan
Volume
6
fYear
2004
fDate
16-22 Oct. 2004
Firstpage
3541
Abstract
We propose a new framework to construct convergent row-action type iterative algorithms for statistical image reconstruction. We demonstrate that the proposed framework called DUCOA can be applied to both emission and transmission tomography and yields fast accurate iterative algorithms.
Keywords
image reconstruction; iterative methods; medical image processing; nonlinear programming; positron emission tomography; statistical analysis; PET; convergent row-action type iterative algorithms; dual ascent optimization; emission tomography; nonlinear programming; statistical image reconstruction; transmission tomography; Convergence; Cost function; Degradation; Image converters; Image reconstruction; Iterative algorithms; Lagrangian functions; Noise measurement; Tomography; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Nuclear Science Symposium Conference Record, 2004 IEEE
ISSN
1082-3654
Print_ISBN
0-7803-8700-7
Electronic_ISBN
1082-3654
Type
conf
DOI
10.1109/NSSMIC.2004.1466650
Filename
1466650
Link To Document