[Scatter correction of PET based on non-linear statistical estimate method].

[Scatter correction of PET based on non-linear statistical estimate method].
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DOI：
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发表时间：
2005-02
期刊：
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
影响因子：
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通讯作者：
Zhaoxia Wu;Shaoqing Chen;Jingzhi Cheng
Zhaoxia Wu;Shaoqing Chen;Jingzhi Cheng
中科院分区：
其他
文献类型：
--
作者：
Zhaoxia Wu;Shaoqing Chen;Jingzhi Cheng

文献摘要

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散射符合事件是影响正电子发射断层扫描（PET）图像质量的重要因素。本文根据投影数据的特点，提出一种基于泊松模型的最大似然期望最大化(MLEM)算法的散点校正方法。我们分别比较了MLEM算法和反卷积方法校正后的正弦图和重建图像。结果表明，本文提出的算法在校正散射的同时增加了图像的对比度。它比传统方法更好。
Scatter coincident events are the important factor that affects the quality of positron emission tomography (PET) images. In this paper, according to the characters of projection data, a scatter correction method which uses maximum likelihood expectation maximization (MLEM) algorithm based on poisson model is proposed. We compared the sinograms and reconstructed images corrected by MLEM algorithm and deconvolution method respectively. The results indicate that the algorithm proposed in this paper increases the contrast of images while correcting scatter. It is better than the traditional method.