An iterative maximum-likelihood polychromatic algorithm for CT
An iterative maximum-likelihood polychromatic algorithm for CT
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DOI：
10.1109/42.959297
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发表时间：
2001-10-01
影响因子：
10.6
通讯作者：
Suetens, P
中科院分区：
文献类型：
--
作者：
De Man, B;Nuyts, J;Suetens, P
提出了一种新的迭代最大似然重建算法。该算法通过结合多色采集模型来防止射束硬化伪影。X射线管的连续光谱被建模为多个离散能量。通过将线性衰减系数分解为光电分量和康普顿散射分量来考虑衰减的能量依赖性。这些组件的相对重量的约束基于先前的材料假设。模拟和体模测量获得了良好的结果。有效消除了射束硬化伪影。与现有的算法的关系进行了讨论。结果证实，改善重建算法假设的采集模型可减少伪影。初步结果表明，金属伪影减少是一个非常有前途的应用这种新算法。
A new iterative maximum-likelihood reconstruction algorithm for X-ray computed tomography is presented. The algorithm prevents beam hardening artifacts by incorporating a polychromatic acquisition model. The continuous spectrum of the X-ray tube is modeled as a number of discrete energies. The energy dependence of the attenuation is taken into account by decomposing the linear attenuation coefficient into a photoelectric component and a Compton scatter component. The relative weight of these components is constrained based on prior material assumptions.Excellent results are obtained for simulations and for phantom measurements. Beam-hardening artifacts are effectively eliminated. The relation with existing algorithms is discussed. The results confirm that improving the acquisition model assumed by the reconstruction algorithm results in reduced artifacts. Preliminary results indicate that metal artifact reduction is a very promising application for this new algorithm.