用基于厚度估计的卷积算法校正X线图像散射的方法

在数字X线摄影中,散射-眩光造成了图像对比度的下降,为了提高数字X线图像的质量,本方法使用曝光参数和图像灰阶值对图像中的每个像素确定等价的有机玻璃厚度,然后在像素-像素的基础上使用厚度信息估计散射-眩光强度。这里我们把60kV和80kV两种参考状态进行线性组合求校正系数,避免了片面性。为了测试本方法估计散射-眩光强度的能力,把它应用在对志愿者胸部所拍摄的图像中,并获得了一定的结果。本方法为解决数字X线图像中的散射校正问题提供了一种有效的手段。

Employing Digital Filtration Based on Thickness Estimation Method for Correcting Scattering in Radiography

It is well known that the scatter-glare results in degradation of the images constrast in digital X-ray radiograph.With the aim of improving the image quality,This technique utilizes exposure parameters and image gray levels to assign equivalent Lucite thickness for every pixel in the image.The thickness information is then used to estimate scatter-glare intensity on a pixel-by-pixel basis.Here,results of 60kv-beam and 80kv-beam combined linearly to have scatter-glare fraction.To test its ability to estimate scatter-glare intensity,the correction techniques were applied to the image of volunteer,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.