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Measurement of the noise components in the medical X-ray intensity pattern due to overlaying, nonrecognizable structures

机译:测量由于重叠的,无法识别的结构而导致的医用X射线强度图样中的噪声成分

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There are many aspects that influence and deteriorate the detection of pathologies in X-ray images. Some of those are due to effects taking place in the stage of forming the X-ray intensity pattern in front of the x-ray detector. These can be described as motion blurring, depth blurring, anatomical background, scatter noise and structural noise. Structural noise results from an overlapping of fine irrelevant anatomical structures. A method for measuring the combined effect of structural noise and scatter noise was developed and will be presented in this paper. This method is based on the consideration that within a pair of projections created after rotation of the object with a small angle (which is within the typical uncertainty in positioning the patient) both images would show the same relevant structures whereas the projection of the fine overlapping structures will appear quite differently in the two images. To demonstrate the method two X-ray radiographs of a lung phantom were produced. The second radiograph was achieved after rotating the lung by an angle of about 3°. Dyadic wavelet representations of both images were regarded. For each value of the wavelet scale parameter the corresponding pair of approximations was matched using the cross correlation matching technique. The homologous regions of approximations were extracted. The image containing only those structures that appear in both images simultaneously was then reconstructed from the wavelet coefficients corresponding to the homologous regions. The difference between one of the original images and the noise-reduced image contains the structural noise and the scatter noise.
机译:有许多方面会影响和恶化X射线图像中病理的检测。其中一些是由于在X射线检测器前面形成X射线强度图案的阶段发生的影响。这些可以描述为运动模糊,深度模糊,解剖背景,散射噪声和结构噪声。结构噪声是由精细的不相关的解剖结构重叠造成的。提出了一种测量结构噪声和散射噪声的组合效应的方法,并将在本文中介绍。该方法基于以下考虑:在以小角度旋转对象后创建的一对投影内(这在定位患者的典型不确定性之内),两个图像将显示相同的相关结构,而精细重叠的投影在这两个图像中,结构会出现很大不同。为了证明该方法,制作了两张肺部幻影的X射线照片。在将肺部旋转约3°后获得第二张X射线照片。考虑了两个图像的二进小波表示。对于小波尺度参数的每个值,使用互相关匹配技术匹配对应的一对近似值。提取近似的同源区域。然后从对应于同源区域的小波系数重建仅包含同时出现在两个图像中的那些结构的图像。原始图像之一和降噪图像之间的差异包含结构噪声和散射噪声。

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