Back to Search
Start Over
Sequential weighted least squares algorithm for PET image reconstruction
- Source :
-
Digital Signal Processing . Nov2006, Vol. 16 Issue 6, p735-745. 11p. - Publication Year :
- 2006
-
Abstract
- Abstract: The weighted least squares (WLS) algorithm has proven useful for modern positron emission tomography (PET) scanners to approach reconstructions with non-Poisson precorrected measurement data. In this paper, we propose a new time recursive sequential WLS algorithm whose derivation uses the time-varying property of data acquisition of PET scanning. It ties close relationship with the time-varying Kalman filtering and can be extended appropriately to an iteration fashion as the absence of proper a priori initializations. The performance of sequential WLS is evaluated experimentally. The results show its fast convergence over both the multiplicative and coordinate-based iterative WLS methods. It also produces relative uniform estimate variances that makes it more suitable for routine applications. [Copyright &y& Elsevier]
- Subjects :
- *LEAST squares
*ALGORITHMS
*POSITRON emission tomography
*POISSON processes
Subjects
Details
- Language :
- English
- ISSN :
- 10512004
- Volume :
- 16
- Issue :
- 6
- Database :
- Academic Search Index
- Journal :
- Digital Signal Processing
- Publication Type :
- Periodical
- Accession number :
- 23229323
- Full Text :
- https://doi.org/10.1016/j.dsp.2006.08.006