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
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;
Conference_Titel :
Nuclear Science Symposium Conference Record, 2004 IEEE
Print_ISBN :
0-7803-8700-7
Electronic_ISBN :
1082-3654
DOI :
10.1109/NSSMIC.2004.1466650
