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中国工程物理研究院 机械制造工艺研究所 绵阳 621900
Received:01 February 2016,
Revised:06 April 2016,
Published:2016-07
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Chaoming SUN, Guangping TANG, Zengyong WANG, et al. Analysis of MTF in digital radiography using linear detector array[J]. Nuclear techniques, 2016, 39(7): 070203
Chaoming SUN, Guangping TANG, Zengyong WANG, et al. Analysis of MTF in digital radiography using linear detector array[J]. Nuclear techniques, 2016, 39(7): 070203 DOI: 10.11889/j.0253-3219.2016.hjs.39.070203.
为有效实现数字射线扫描成像检测系统性能的定量分析评价,据此进行检测工艺参数的优化,对数字射线扫描成像检测系统调制传递函数(Modulation transfer function
MTF)进行了测试分析。采用刀口工具、双线型像质计、分辨率测试卡,对系统在不同焦点大小、放大倍数、运动方向的检测情况,分别进行了MTF的测试并进行了比较。结果表明,双线型像质计与分辨率测试卡的测试结果基本一致,但双线型像质计更便于对比度的定量计算;双线型像质计的对比度传递函数近似符合二次曲线,经转换得到的调制传递函数值高于刀口法的测试值,刀口法计算数值偏低的原因在于运动不平稳所带来的不利影响。分析表明,数字射线扫描成像系统性能受到多个因素的共同影响,MTF测试结果可较全面地对影响因素进行定量评价,可用于确定最佳的检测参数或找出等价的参数组合。
Background
2
Nowadays
digital radiography is widely utilized in non-destructive testing. However
some issues concerning this new technique need to be addressed properly
and some key parameters of the imaging system need to be quantified by some measurement methods.
Purpose
2
To evaluate a digital radiography system using linear detector array quantitatively and efficiently
and optimize the testing parameters accordingly
modulation transfer function (MTF) of the imaging system was calculated and analyzed. Methods: Edge tool
duplex wire image quality indicator (IQI) and resolution test card were used to measure MTF of the system under different testing parameters
which include focus size
magnification and object orientation.
Results
2
Results show that the contrast transfer function (CTF) measured by duplex IQI and resolution test card is almost identical
while signals from duplex IQI are easier to analyze quantitatively. CTF from duplex IQI is approximately a curve of second order
and the CTF can be used to transform to MTF
but the values are higher than that from edge tool
as movement during image acquisition process is unstable.
Conclusion
2
After analysis
we find that the system performance is affected by many factors together
but MTF can be used to evaluate these factors perfectly
thus to find out equivalent parameters combination or determine the optimum testing parameters.
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