ISSN 1004-4140
CN 11-3017/P

扇束图像重建中OSEM算法及子集划分的研究

Study of OSEM with Different Subsets in Fan Beam Reconstruction

  • 摘要: 目的:将一种快速迭代图像重建方法OSEM用于仿真Phantom模型的扇束投影数据的重建中, 验证其重建参数的有效取值范围, 分析比较不同子集选取对扇束OSEM重建的图像质量以及收敛速度的影响。方法: 本研究采用事先计算特定几何扇束扫描的概率矩阵和最大间距划分投影子集的方法, 选取图像大小为128*128。通过对模拟的Phantom扇束投影数据的重建, 结果: OSEM重建效果好于传统滤波反投影 (FBP) 重建的结果, 尤其是在有噪声情况下, 在一定范围内重建质量与迭代次数和子集划分个数成正比, 而计算时间仅仅与迭代次数正比。结论: 恰当地选取子集个数, 扇束OSEM重建可用较少迭代次数和较短的计算时间获取好的重建图像。

     

    Abstract: Purpose: A fast iterative image reconstruction method―OSEM (Ordered Subsets Expectation Maximization) is applied in the reconstruction of fan-beam projections of a Phantom, and the effective range of OSEM parameters (such as iterative number, subset order) is verified, and the OSEM with various subset orders are studied by comparing their reconstructive image quality and convergent speed. Method: The probability matrix of fan-beam geometry is calculated in advance and maximum interval between subset is assumed. Result: In the reconstruction of a simulated Phantom data, OSEM gives better images with higher spacial resolution and lower noise, as compared with traditional FBP method especially under noisy acquisition situation in fan-beam scanning, and in a certain extension the image quality is proportional to the product of the iterative number and the subset order, while computing time is only related to the iterative number. Conclusion: Good images with smaller iterative number and thus shorter time can be obtained by properly choosing the subset order in fan-beam OSEM reconstruction.

     

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