Tomographic image reconstruction from limited projections using iterative revisions in image and transform spaces.
Tomographic image reconstruction from limited projections using iterative revisions in image and transform spaces.
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使用图像和变换空间中的迭代修正从有限投影重建断层图像。
DOI：
10.1364/ao.20.000395
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发表时间：
1981
期刊：
影响因子：
1.9
通讯作者：
M. Hirama
中科院分区：
文献类型：
--
作者：
Takuso Sato;Stephen J. Norton;Melvin Linzer;Osamu Ikeda;M. Hirama
提出了一种迭代技术，用于在投影数量较少或投影角度范围有限时提高投影重建的质量。该技术包括在图像和变换空间之间重复变换，并在每次迭代时应用先验对象信息。该方法是Gerchberg-Papoulis算法的推广，该算法是一种通过对空间域中的对象施加空间限制约束来在傅立叶域中进行外推的技术。除了截断超出对象的已知边界的图像之外，可以应用的先验对象数据包括限制被成像的物理参数的变化的最大范围。计算机模拟的结果清楚地显示了如何迫使图像符合先验对象数据的过程减少了由傅立叶域中可用的有限数据引起的伪影。
An iterative technique is proposed for improving the quality of reconstructions from projections when the number of projections is small or the angular range of projections is limited. The technique consists of transforming repeatedly between image and transform spaces and applying a priori object information at each iteration. The approach is a generalization of the Gerchberg-Papoulis algorithm, a technique for extrapolating in the Fourier domain by imposing a space-limiting constraint on the object in the spatial domain. A priori object data that may be applied, in addition to truncating the image beyond the known boundaries of the object, include limiting the maximum range of variation of the physical parameter being imaged. The results of computer simulations show clearly how the process of forcing the image to conform to a priori object data reduces artifacts arising from limited data available in the Fourier domain.