期刊文献+

基于不同子集的OS-EM快速迭代重建算法研究 被引量:7

Study of Fast Iteration Reconstruction Method OS-EM Based on Different Subsets
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摘要 有序子集最大期望值方法 (OrderedSubsetsExpectationMaximization ,OS EM )具有较高的重建图像质量和较短的计算时间 ,正逐步应用在正电子发射断层扫描仪 (PositionEmissionTomography ,PET)图像重建过程中。通过研究仿真Phantom模型在不同划分子集下的重建结果 ,分析比较了不同子集的选取对重建图像质量以及重建收敛速度的影响。 OS EM (Ordered Subsets Expectation Maximization) has good reconstructed image quality and uses less computation time, it is applied to the image reconstruction of PET (Position Emission Tomography). In this paper, we study the reconstruction results of simulating Phantom model under different separation subsets, compare the effects to reconstructed image quality and convergence speed by different subsets order.
出处 《仪器仪表学报》 EI CAS CSCD 北大核心 2002年第4期408-410,共3页 Chinese Journal of Scientific Instrument
基金 国家自然科学重点基金69631020
关键词 正电子发射断层扫描仪 OS-EM PET 子集 图像重建 OS EM PET Subset Image reconstruction
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参考文献2

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同被引文献28

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