移动DR后处理参数对床旁胸片影像质量的影响

发布时间：2018-07-17 07:34

【摘要】：目的探讨移动数字化X摄影(DR)不同后处理参数对床旁胸片影像质量的影响。方法对150幅床旁胸片图像进行多频拉普拉斯变换(MLT)、图像处理(IP)等后处理参数调整,分析总结后处理参数的优化方案。测量肺部相关区域光学密度值,以配对样本t检验比较出厂设置默认参数与后处理参数优化肺部相关区域光学密度值的差异和图像质量评分的差异。结果亮度、对比度以及动态范围中的低密度参数对床旁胸片图像质量影响较大。调整并优化后处理参数后,胸部第2肋间区域密度值为1.68±0.04,肺门密度值为0.77±0.46,肺周边部密度(近胸壁1cm处与单肋骨重叠处)值为0.62±0.06,心影密度值为0.44±0.04,膈下密度值为0.37±0.04,两肺野外带纹理清晰显示,脊柱和心影后区肺纹理可见,符合诊断学要求。第2肋间、肺门、肺周边部、心影部、膈下部均为调整前密度值小于调整后密度值,差异有统计学意义,且调整后的密度值均较调整前接近参考密度值;优化后处理参数后所得影像质量评分为(3.53±0.14)分,高于优化前(3.02±0.23)分,差异有统计学意义。结论适合的后处理参数值是保证移动DR床旁胸片肺部各区域合理密度值的关键,优化后处理参数可提高移动DR床旁胸片的影像质量。
[Abstract]:Objective to investigate the effect of different post-processing parameters of mobile digital X-ray (Dr) on the quality of bedside chest radiography. Methods 150 bedside chest radiographs were adjusted by multi-frequency Laplace transform (MLT), image processing (IP) and other post-processing parameters, and the optimization scheme of post-processing parameters was analyzed and summarized. The optical density of lung related area was measured and the difference of the optical density between the default parameters and the post-processing parameters and the difference of image quality score were compared between the matched sample t test and the post-processing parameter. Results brightness contrast and low density parameters in dynamic range have great influence on the quality of bedside chest radiography. After adjusting and optimizing the post-processing parameters, The density of the second intercostal area of the chest was 1.68 卤0.04, the density of the hilar was 0.77 卤0.46, the density of the peripheral part of the lung was 0.62 卤0.06, the density of the cardiac shadow was 0.44 卤0.04, the density of the subphrenic region was 0.37 卤0.04. The spinal column and the posterior area of the heart shadow can be seen in the lung, which meets the diagnostic requirements. The density of the second intercostal, hilar lung, peripheral lung, cardiac shadow and lower part of diaphragm were smaller than those after adjustment, the difference was statistically significant, and the density values after adjustment were close to the reference density value before and after adjustment. The image quality score after optimization was (3.53 卤0.14), which was significantly higher than that before optimization (3.02 卤0.23). Conclusion the suitable post-processing parameter value is the key to ensure the reasonable density value of the lung on the moving Dr bedside chest radiographs. Optimizing the post-processing parameters can improve the imaging quality of the moving Dr bedside chest radiographs.
【作者单位】：河北医科大学第三医院放射科;
【基金】：河北省卫计委医学科学研究重点课题(ZD20140164)
【分类号】：R816.4

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