代数迭代法在激光反射断层成像目标重构中的应用

Laser reflection tomography target reconstruction algorithm based on algebraic iteration

  • 摘要: 为了提高激光反射断层成像目标重构的图像质量,在目前激光反射断层成像普遍采用反投影算法重构图像的基础上,将CT成像中常用的迭代重建算法引入到激光反射断层成像的图像重构过程中。分析了反投影算法中的直接反投影、R-L和S-L滤波反投影以及迭代重建算法在图像重构中的性能特性。进行了仿真和外场实验,结果表明:在直接反投影基础上添加了滤波器的反投影算法在减小误差和抑噪能力上都明显提高;另外相比于反投影算法,代数迭代重建算法表现出更好的重建质量,且具有更强的抑噪性能。

     

    Abstract: In order to improve the image quality of laser reflection tomography target reconstruction, an iterative reconstruction algorithm commonly used in CT imaging was introduced in the image reconstruction process of laser reflex tomography. Then, the performance characteristics of direct backprojection algorithm, R-L and S-L filtered backprojection algorithm and iterative reconstruction algorithm in image reconstruction were analyzed. Finally, simulations and field experiments were conducted. The results show that the filtered backprojection algorithm has a significant improvement over the direct backprojection algorithm in reducing errors and suppressing noise. In addition, compared with the backprojection algorithm, algebraic iterative reconstruction algorithm shows better reconstruction quality and has stronger noise suppression performance.

     

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