|Table of Contents|

[1] Zhu Hongqing, Shu Huazhong, Zhou Jian, Luo Limin, et al. Accelerating SAGE algorithm in PET image reconstructionby rescaled block-iterative method [J]. Journal of Southeast University (English Edition), 2005, 21 (2): 207-210. [doi:10.3969/j.issn.1003-7985.2005.02.018]
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Accelerating SAGE algorithm in PET image reconstructionby rescaled block-iterative method()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
21
Issue:
2005 2
Page:
207-210
Research Field:
Biological Science and Medical Engineering
Publishing date:
2005-06-30

Info

Title:
Accelerating SAGE algorithm in PET image reconstructionby rescaled block-iterative method
Author(s):
Zhu Hongqing Shu Huazhong Zhou Jian Luo Limin
Department of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
Keywords:
positron emission tomography space-alternating generalized expectation-maximization image reconstruction rescaled block-iterative maximum likelihood
PACS:
R817
DOI:
10.3969/j.issn.1003-7985.2005.02.018
Abstract:
A new method to accelerate the convergent rate of the space-alternating generalized expectation-maximization(SAGE)algorithm is proposed.The new rescaled block-iterative SAGE(RBI-SAGE)algorithm combines the RBI algorithm with the SAGE algorithm for PET image reconstruction.In the new approach, the projection data is partitioned into disjoint blocks;each iteration step involves only one of these blocks.SAGE updates the parameters sequentially in each block.In experiments, the RBI-SAGE algorithm and classical SAGE algorithm are compared in the application on positron emission tomography(PET)image reconstruction.Simulation results show that RBI-SAGE has better performance than SAGE in both convergence and image quality.

References:

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Memo

Memo:
Biographies: Zhu Hongqing(1967—), female, doctor;Shu Huazhong(corresponding author), male, professor, shu.list@seu.edu.cn.
Last Update: 2005-06-20