Fast iterative algorithm for metal artifact reduction in X-ray CT
Fast iterative algorithm for metal artifact reduction in X-ray CT
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DOI：
10.1016/s1076-6332(00)80576-0
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发表时间：
2000-08-01
影响因子：
4.8
通讯作者：
Vannier, MW
中科院分区：
文献类型：
--
作者：
Wang, G;Frei, T;Vannier, MW
基本原理和目标。 X 射线计算机断层扫描 (CT) 中金属伪影的减少具有重要的临床应用。根据发射 CT 的期望最大化 (EM) 公式改编的迭代方法被证明对于减少金属伪影有效，但其计算速度较慢。该项目的目标是加速减少金属伪影的迭代方法。材料和方法。作者以发射 CT 的行作用/有序子集 (EM) 公式为基础，开发了一种用于减少金属伪影的快速迭代算法。在该算法的每次迭代中，都会执行来自中间图像的重投影和来自差异数据的反投影，结果。数值和模型实验证明了快速迭代算法的可行性。与非加速迭代算法相比，在视觉检查、投影域中的I散度以及图像域中的欧氏距离方面给定图像质量的情况下，迭代金属伪影减少的速度提高了一个数量级。结论。快速迭代算法根据投影子集校正中间重建，并以比之前发布的迭代算法快得多的速度产生令人满意的图像质量。该算法在骨科、肿瘤学和牙科成像等临床应用中具有重要潜力。
Rationale and Objectives. The reduction of metal artifacts in x-ray computed tomography (CT) has important clinical applications. An iterative method adapted from the expectation maximization (EM) formula for emission CT was shown to be effective for metal artifact reduction, but its computational speed is slow. The goal of this project was to accelerate that iterative method for metal artifact reduction.Materials and Methods. Using the row-action/ordered-subset (EM) formula for emission CT as a basis, the authors developed a fast iterative algorithm for metal artifact reduction. In each iteration of this algorithm, both reprojection from an intermediate image and backprojection from discrepancy data are performed,Results. The feasibility of the fast iterative algorithm was demonstrated in numerical and phantom experiments. In comparison with the nonaccelerated iterative algorithm, the speed of iterative metal artifact reduction is improved by an order of magnitude given image quality in terms of visual inspection, I-divergence in the projection domain, and the euclidean distance in the image domain.Conclusion. The fast iterative algorithm corrects intermediate reconstruction according to subsets of projections and produces satisfactory image quality at a much faster speed than the previously published iterative algorithm. This algorithm has important potential in clinical applications, such as orthopedic, oncologic, and dental imaging.