Simulation Study of Spherical Multilayer Object CT Reconstruction from Sparse Projection Data
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摘要: 本文主要针对高密度差多层球状物体的角度稀疏投影CT重建问题,进行基于FBP算法的仿真研究。参考特殊工件材料结构特征设计建立检测对象模型,采用C++语言开发完成平行束圆周扫描FBP重建仿真软件平台。分别采用直接补零和紧邻填充两种方法补全缺失的稀疏投影数据,并进行仿真重建和比较分析。对重建图像进行了有针对性地基于边缘和区域的增强处理方法研究,使缺陷特征得以凸显。本文的研究内容和方法可为具有类似特征的CT无损检测提供技术参考。Abstract: This paper mainly aims at the simulation study of high-density-difference multilayer spherical object reconstruction from angle-sparse projection data based on FBP algorithm. Establishes detection object model reference to the material and structure feature of the special workpieces, and develops parallel beam CT reconstruction simulation software platform based on FBP algorithm with C++ language. Uses the direct-zero and close-to-fill two methods to fill the missing sparse projection data, and carries on the simulation reconstruction and comparative analysis. Researches on the image enhancement processing method in a targeted manner, the defect feature highlights. The research contents and methods of thesis can provide technical reference to nondestructive CT tests which have similar characteristics.
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Keywords:
- CT reconstruction /
- sparse projection /
- Filter Back Projection /
- simulation study
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