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首页> 外文会议>European Conference Non-Destructive Testing >Beam Hardening Correction in X-Ray Computed Tomography: A Comparison of Two Iterative Model-Based Reconstruction Methods
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Beam Hardening Correction in X-Ray Computed Tomography: A Comparison of Two Iterative Model-Based Reconstruction Methods

机译：X射线计算机断层扫描中的光束硬化校正：两个迭代模型的重建方法的比较

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摘要

While the expenses for computational power decrease, iterative reconstruction methods for X-ray computed tomography (CT) that allow the use of improved model assumptions, become more attractive. In applications for non-destructive testing one of the most common degradations of image quality with standard X-ray CT reconstruction methods is beam hardening. Techniques for beam hardening correction using filtered back projection usually account for a single material only. In the case of multiple materials further improvement can be achieved using iterative methods. We developed a framework for reconstruction based on the principles of maximum-likelihood estimation that accounts for beam hardening by adapting the algorithms of L. Brabant (2012) and B. De Man (2001). These algorithms are tested in simulation studies as well as in measurements with multiple materials. We compare the results and show that iterative model-based reconstruction methods turn out to be a promising tool in order to reduce beam hardening.
机译：虽然计算功率降低的费用，用于允许使用改进的模型假设的X射线计算机断层扫描（CT）的迭代重建方法，变得更具吸引力。在非破坏性测试的应用中，使用标准X射线CT重建方法是图像质量最常见的降解之一是梁硬化。使用过滤后投影的光束硬化校正的技术通常仅占单个材料。在多种材料的情况下，可以使用迭代方法实现进一步的改进。我们通过调整L.Brabant（2012）和B. de Man（2001）的算法来制定了一种基于最大似然估计的重建的重建框架。这些算法在仿真研究中测试以及多种材料的测量。我们比较结果，并表明基于迭代模型的重建方法结果是一个有前途的工具，以减少光束硬化。

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