Wobbling and LSF-based maximum likelihood expectation maximization reconstruction for wobbling PET
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- 作者：Hang-Keun Kima ; b ; Young-Don Sona ; b ; Dae-Hyuk Kwonc ; Yohan Joob ; Zang-Hee Chod ; e ; zcho@uci.edu" class="auth_mail" title="E-mail the corresponding author ; zcho1@snu.ac.kr" class="auth_mail" title="E-mail the corresponding author
- 关键词：High-resolution imaging ; Iterative algorithms ; Positron emission tomography ; Reconstruction algorithms
- 刊名：Radiation Physics and Chemistry
- 出版年：2016
- 出版时间：April 2016
- 年：2016
- 卷：121
- 期：Complete
- 页码：1-9
- 全文大小：2764 K
文摘
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This paper proposed WL-MLEM algorithm for PET and demonstrated its performance.
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WL-MLEM algorithm effectively combined wobbling and line spread function based MLEM.
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WL-MLEM provided improvements in the spatial resolution and the PET image quality.
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WL-MLEM can be easily extended to the other iterative reconstruction algorithms.