A novel method of coded-aperture push-broom compton scatter imaging: Principles, simulations and experiments
A novel method of coded-aperture push-broom compton scatter imaging: Principles, simulations and experiments
复制标题
编码孔径推扫康普顿散射成像的新方法：原理、模拟和实验
DOI：
10.1016/j.nima.2019.05.052
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发表时间：
2019-10
期刊：
影响因子：
--
通讯作者：
Wei Long
中科院分区：
文献类型：
--
作者：
Liu Yantao;Xiao Xiong;Zhang Zhiming;Shuai Lei;Wang Xiaoming;Zhou Wei;Wang Chao;Wei Long
康普顿散射成像（Compton scatter imaging，CSI）是一种很有前途的非侵入性成像技术，但其对X射线的利用率低，图像信噪比低。在这项工作中，设计了一种将推扫式CSI与编码孔径成像相结合的新方法，以提高背散射X射线的利用率和图像信噪比。首先，阐述了编码孔径推扫式信道状态估计的原理，并讨论了其应用。通过对点源和线源的仿真，验证了该方法的可行性。发现掩模和反掩模的固有编码噪声趋势彼此相反。因此，这些编码噪声可以通过对两者进行平均来抵消。在此基础上，建立了一个系统原型，对“IHEP”中的点、线、字符等典型物体进行了扫描。与传统的推扫式CSI相比，该系统在较低的X射线功率和较远的距离下获得了更好的后向散射图像。这一特性对于系统小型化和减少辐射剂量具有重要意义。虽然优化应考虑在未来，这种方法展示了有用的应用潜力。
Compton scatter imaging (CSI) is a promising, noninvasive imaging technique; however, it is limited by its poor utilization of X-rays and its bad image signal-to-noise ratio (SNR). In this work, a novel method combining push-broom CSI with coded-aperture imaging was devised to improve the utilization of backscattered X-rays and the image SNR. Firstly, the principles of coded-aperture push-broom CSI are illustrated, and its various applications are discussed. Then, simulations of a point source and a line source are performed to validate its feasibility. It was discovered that the inherent coding noise trends for the mask and the antimask were the opposite of each other. Therefore, these coding noises could be offset by averaging the two. Furthermore, a system prototype was built to scan objects, such as point phantoms, line phantoms, character phantoms of “IHEP”, and other typical samples. Compared with traditional push-broom CSI, this novel system obtained a better backscatter image with lower X-ray power and at a farther distance. This feature is important for system miniaturization and radiation dose reduction. Although optimizations should be considered in the future, this approach demonstrates useful application potential.
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DOI：
10.1016/j.nima.2008.06.005
发表时间：
2008-08
影响因子：
1.4
作者：
Guangzhi Sun;Ximeng Chen;Long Wei;Ma Chuangxin;Tianbao Zhang;Ke Li-;Daowu Li;C. Wei;Zhiming Zhang;Huo Tingting;Rensong Wang;Feng Baotong;Shuai Lei
通讯作者：
Guangzhi Sun;Ximeng Chen;Long Wei;Ma Chuangxin;Tianbao Zhang;Ke Li-;Daowu Li;C. Wei;Zhiming Zhang;Huo Tingting;Rensong Wang;Feng Baotong;Shuai Lei
影响因子：
3.3
作者：
H. Vogel
通讯作者：
H. Vogel
DOI：
10.1016/j.nima.2006.10.123
发表时间：
2007-02
影响因子：
1.4
作者：
R. Accorsi;A. S. Curion;P. Frallicciardi;R. Lanza;A. Lauria;G. Mettivier;M. Montesi;P. Russo
通讯作者：
R. Accorsi;A. S. Curion;P. Frallicciardi;R. Lanza;A. Lauria;G. Mettivier;M. Montesi;P. Russo
影响因子：
2
作者：
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通讯作者：
Sun Shifeng;Zhiming Zhang;Shuai Lei;Daowu Li;W. Yingjie;Liu Yantao;Huang Xianchao;Tang Haohui;Li Ting;P. Chai;Jiang Xiaopan;B. Ma;Zhu Meiling;Xiaoming Wang;Zhang Yiwen;W. Zhou;Zeng Fanjian;J. Guo;L. Sun;Yang Mingjie;Zhang Yubao;C. Wei;Ma Chuangxin;Long Wei
影响因子：
4.6
作者：
B. Towe;A. Jacobs
通讯作者：
B. Towe;A. Jacobs