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Effective Regularized Algebraic Reconstruction Technique for Computed Tomography

机译:用于计算机断层扫描的有效正则代数重构技术

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摘要

A new fast version of the reconstruction algorithm for computed tomography based on the simul-taneous algebraic reconstruction technique (SART) is proposed. The algorithm iteration is asymptotically accelerated using the fast Hough transform from O(n~3) to O(n~2logn). Similarly to the algebraic reconstruction technique (RegART), which was proposed by us previously, the regularization operator is applied after each iteration. A bilateral filter plays the role of this operator. The algorithm behavior is investigated using the model experiment
机译:提出了一种基于同时代数重建技术(SART)的计算机层析成像重建算法的快速新版本。使用从O(n〜3)到O(n〜2logn)的快速霍夫变换,渐近加速算法迭代。与我们之前提出的代数重建技术(RegART)相似,在每次迭代后都应用正则化运算符。双边过滤器扮演该操作员的角色。使用模型实验研究算法行为

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