阵列背散射成像中图像数据校正的仿真研究

Simulation Study on Data Correction in Array Backscatter Imaging

  • 摘要: 阵列背散射成像是一种有发展潜力的辐射成像技术。与透射成像相比,阵列背散射图像数据校正较为复杂,涉及数据不一致性校正和系统响应曲线调整两个方面。基于阵列背散射成像系统的特点分析,应用蒙特卡罗仿真实验方法,归纳总结出1种增益归一化与斜率调整相结合的阵列背散射图像校正方法。利用该方法对仿真实验得到的数据进行校正,获得了较好的校正效果。

     

    Abstract: Backscatter imaging with a detector array (i.e. array backscatter imaging) is a radiation imaging technology which has great development potential. Being quite different from the transmission imaging, data correction in array backscatter imaging is a very complicated problem, including data variance correction and system response curve adjustment. Based on the characteristic analysis of the array backscatter imaging system and the Monte-Carlo simulation experiments, a new way combining gain normalization and slope adjustment was introduced to correct the image data in the array backscatter imaging. By using this method, a good result was obtained for the simulation data correction.

     

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