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Neutron Imaging with Coded Sources: Design Pitfalls and the Implementation of a Simultaneous Iterative Reconstruction Technique

机译:具有编码源的中子成像:设计误区和同时迭代重建技术的实现

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The limitations in neutron flux and resolution (L/D) of current neutron imaging systems can be addressed with a Coded Source Imaging system with magnification (xCSI). More precisely, the multiple sources in an xCSI system can exceed the flux of a single pinhole system for several orders of magnitude, while maintaining a higher L/D with the small sources. Moreover, designing for an xCSI system reduces noise from neutron scattering, because the object is placed away from the detector to achieve magnification. However, xCSI systems are adversely affected by correlated noise such as non-uniform illumination of the neutron source, incorrect sampling of the coded radiograph, misalignment of the coded masks, mask transparency, and the imperfection of the system Point Spread Function (PSF). We argue that a model-based reconstruction algorithm can overcome these problems and describe the implementation of a Simultaneous Iterative Reconstruction Technique algorithm for coded sources. Design pitfalls that preclude a satisfactory reconstruction are documented.
机译:当前中子成像系统在中子通量和分辨率(L / D)方面的局限性可以通过具有放大倍数(xCSI)的编码源成像系统解决。更准确地说,xCSI系统中的多个源可以超过单个针孔系统的通量几个数量级,同时使用小型源可以保持更高的L / D。此外,为xCSI系统设计可降低中子散射产生的噪声,因为将物体放置在远离探测器的位置以实现放大。但是,xCSI系统会受到相关噪声的不利影响,例如中子源的照明不均匀,编码射线照片的不正确采样,编码掩膜的未对准,掩膜透明性以及系统点扩散功能(PSF)的缺陷。我们认为基于模型的重建算法可以克服这些问题,并描述了针对编码源的同时迭代重建技术算法的实现。有记录的设计缺陷妨碍了令人满意的重建。

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