Wei Jiaotong, Han Yan, Chen Ping
Shanxi Key Laboratory of Signal Capturing & Processing, North University of China, Taiyuan 030051, China.
Int J Biomed Imaging. 2017;2017:8126019. doi: 10.1155/2017/8126019. Epub 2017 Nov 7.
A polychromatic X-ray beam causes the grey of the reconstructed image to depend on its position within a solid and the material being imaged. This factor makes quantitative measurements via computed tomography (CT) imaging very difficult. To obtain a narrow-energy-width reconstructed image, we propose a model to decompose multivoltage X-ray images into many narrow-energy-width X-ray images by utilizing the low frequency characteristics of X-ray scattering. It needs no change of hardware in the typical CT system. Solving the decomposition model, narrow-energy-width projections are obtained and it is used to reconstruct the image. A cylinder composed of aluminum and silicon is used in a verification experiment. Some of the reconstructed images could be regarded as real narrow-energy-width reconstructed images, which demonstrates the effectiveness of the proposed method.
多色X射线束会使重建图像的灰度取决于其在固体内部的位置以及被成像的材料。这一因素使得通过计算机断层扫描（CT）成像进行定量测量非常困难。为了获得窄能量宽度的重建图像，我们提出了一个模型，通过利用X射线散射的低频特性将多电压X射线图像分解为许多窄能量宽度的X射线图像。在典型的CT系统中无需改变硬件。求解分解模型，可得到窄能量宽度的投影，并用于重建图像。在验证实验中使用了一个由铝和硅组成的圆柱体。一些重建图像可被视为真正的窄能量宽度重建图像，这证明了所提方法的有效性。
