CT系统参数模板标定与优化

Wei Wang, Zhixian Ni, Xiaoyuan Luo
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引用次数: 0

摘要

CT系统的安装往往会出现误差,影响成像质量,因此,有必要对已安装的CT系统进行校准,即用已知结构的样品(称为模板)校准CT系统的参数,并对未知结构的样品进行成像。本文选择椭圆和圆的几何模板,通过几何中心点对几何模型进行几何分割,建立优化模型,利用遗传算法求解模型,并利用雷达变换对模型进行反演、重建图像进行校正,优化CT系统的参数定标。
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Template calibration and optimization of CT system parameters
There are often errors in the installation of CT systems that can affect the quality of imaging, therefore, it is necessary to calibrate the installed CT system, that is, to calibrate the parameters of the CT system with a sample of a known structure (called a template), and to image the sample of the unknown structure. In this paper, the geometric template of ellipse and circle is selected, the geometric model is geometrically partitioned through geometrical center point to establish an optimization model, and the model is solved by using genetic algorithm, and using radar transform to invert, reconstruct the image to correct the model, and optimize the parameter calibration of the CT system.
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