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[采用去卷积方法校正放射成像中的散射]

[Employing deconvolution method for correcting scatter in radiography].

作者信息

Deng Z, Ni D, Jiang D, Zhao Z, Xiao F, Xu L

机构信息

Institute of BME, Xi'an Jiaotong University.

出版信息

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 1997 Jun;14(2):137-43.

PMID:9817642
Abstract

It is well known that the scattered-radiation (SR) results in degradation of the images contrast in digital X-ray radiograph. The main reason affecting radiographic image quality is the SR arising from interaction of the photons with object being radiographed and veiling glare from detector system in the II-TV chai imaging system. With the aim of improving the image quality, we employed the Gaussian function to approximate the scattered point spread function (PSF) and determined the fraction of SR, rho and the parameter, sigma experimentally on an individual system; then we built an inverse filter to process the digital chest X-ray images, which were acquired with the same system and transformed in 2-D Fourier tansform operation. The images processed were corrected by using a variable weihting factor and the resulting images are shown in this paper. The method provides a useful way for solving the problem of correction of the SR in digital X-ray images.

摘要

众所周知,在数字X射线摄影中,散射线(SR)会导致图像对比度下降。影响射线图像质量的主要原因是光子与被照物体相互作用产生的散射线以及II-TV链成像系统中探测器系统的蒙罩眩光。为了提高图像质量,我们采用高斯函数来近似散点扩散函数(PSF),并在单个系统上通过实验确定散射线分数ρ和参数σ;然后我们构建了一个逆滤波器来处理用同一系统采集并经过二维傅里叶变换操作的数字胸部X射线图像。对处理后的图像使用可变加权因子进行校正,本文展示了所得图像。该方法为解决数字X射线图像中散射线的校正问题提供了一种有用的途径。

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