摘要
针对目前CT系统中待测物体的图像重建问题,首先采用R-L函数滤除环境噪声,然后利用FBPR算法将反投影算法和Richardson算法结合起来,通过卷积和迭代的方式求解出待测物体的成像矩阵。最后对成像矩阵作了进一步优化。该算法可应用到军事、医疗等领域材料的断层成像中,能够在噪声较大的环境中快速稳定的获得分辨率较高的物体图像。
In order to solve the problem of image reconstruction in the current CT system, the R-L function is firstly used tofilter out the environmental noise. Then the FBPR algorithm is used to combine the back-projection algorithm with the Richardsonalgorithm, which is applied to solve the imaging matrix of the object to be measured by means of convolution and iteration. Finally,this paper further optimized the imaging matrix. The algorithm can be applied to the tomography of military engineering materials, andwe can obtain stable object images quickly with high resolution in a noisy environment.
出处
《科技创新与应用》
2018年第15期1-2,5,共3页
Technology Innovation and Application
基金
江苏省自然科学基金青年基金(编号:BK20140870)
关键词
图像重建
噪声滤除
FBPR算法
image reconstruction
noise filtering
FBPR algorithm
