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Analytic reconstruction approach for parallel translational computed tomography

机译:平行平移计算机层析成像的解析重建方法

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摘要

To develop low-cost and low-dose computed tomography (CT) scanners for developing countries, recently a parallel translational computed tomography (PTCT) is proposed, and the source and detector are translated oppositely with respect to the imaging object without a slip-ring. In this paper, we develop an analytic filtered-backprojection (FBP)-type reconstruction algorithm for two dimensional (2D) fan-beam PTCT and extend it to three dimensional (3D) cone-beam geometry in a Feldkamp-type framework. Particularly, a weighting function is constructed to deal with data redundancy for multiple translations PTCT to eliminate image artifacts. Extensive numerical simulations are performed to validate and evaluate the proposed analytic reconstruction algorithms, and the results confirm their correctness and merits.
机译:为了为发展中国家开发低成本和低剂量的计算机断层摄影(CT)扫描仪,最近提出了一种平行平移计算机断层摄影(PTCT),并且源和检测器相对于成像对象以相反方向平移而没有滑环。在本文中,我们针对二维(2D)扇形束PTCT开发了一种解析滤波反投影(FBP)型重构算法,并将其扩展到Feldkamp型框架中的三维(3D)锥束几何。特别地,加权函数被构造为处理用于多个翻译PTCT的数据冗余以消除图像伪像。进行了广泛的数值模拟,以验证和评估所提出的解析重建算法,结果证实了它们的正确性和优点。

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