A row-action alterative to the space-alternating generalized expectation-maximization algorithm for image reconstruction in positron emission tomography

The space-alternating generalized expectation (SAGE) maximization algorithm has been successfully used in image reconstruction due to its rapid convergence. In this paper, a row-action alternative to the SAGE algorithm (RASAGE) is proposed; it processes the projection data sequentially. In order to...

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Veröffentlicht in:2004 IEEE 11th Digital Signal Processing Workshop : & 2nd [sic] IEEE Signal Processing Education Workshop : Taos Ski Valley, NM, 1-4 August, 2004 S. 325 - 328
Hauptverfasser: Zhu Hongqing, Shu Huazhong, Luo Limin, Zhou Jian
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 2004
Schlagworte:
Acceleration
Biomedical engineering
Biomedical imaging
Computational efficiency
Convergence
Engineering in medicine and biology
Expectation-maximization algorithms
Image reconstruction
Positron emission tomography
Reconstruction algorithms
ISBN:9780780384347, 0780384342
Online-Zugang:Volltext
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Zusammenfassung:The space-alternating generalized expectation (SAGE) maximization algorithm has been successfully used in image reconstruction due to its rapid convergence. In this paper, a row-action alternative to the SAGE algorithm (RASAGE) is proposed; it processes the projection data sequentially. In order to speed up the convergence rate, we process the projection lines using a special order in such a way that the sequential projection lines are independent of each other. A relaxation parameter is also used to adjust the projection data update level. Comparison of the RASAGE with SAGE algorithm shows that the former method converges faster than the latter.
ISBN:9780780384347
0780384342
DOI:10.1109/DSPWS.2004.1437968