Match Filtering Deconvolution for Improved Computed Tomography Spatial Resolution

计算机断层成像(CT)在无损检测(NDE)中变得越来越重要。工业应用通常需要非常高的空间分辨率。然而，X射线采样的有限宽度限制了空间分辨率。这里要进行的研究将探索一种有效的计算方法来从投影数据中反卷积波束宽度，而不增加重建图像中的噪声。以前，长时间的计算和/或高噪声使得反卷积技术在CT中没有什么价值。匹配滤波反褶积方法将在不增加噪声的情况下提高分辨率，并且计算快速且易于实现。

Computed tomography (CT) has become increasingly important in nondestructive evaluation (NDE). Industrial applications often require very high spatial resolution. However, the finite width of x-ray sampling limits the spatial resolution. Research to be carried out here will investigate an efficient computational method to deconvolve the beam width from the projection data without increasing the noise in the reconstructed image. Previously, long computation times and/or high noise have made deconvolution techniques of little value in CT. A matched filtering deconvolution method will increase resolution without increasing noise and will be computationally quick and easy to implement.