IEEE Trans Image Process. 2014 Mar;23(3):1181-93. doi: 10.1109/TIP.2013.2297025.
In computed tomography (CT), partial volume effects impede accurate segmentation of structures that are small with respect to the pixel size. In this paper, it is shown that for objects consisting of a small number of homogeneous materials, the reconstruction resolution can be substantially increased without altering the acquisition process. A super-resolution reconstruction approach is introduced that is based on discrete tomography, in which prior knowledge about the materials in the object is assumed. Discrete tomography has already been used to create reconstructions from a low number of projection angles, but in this paper, it is demonstrated that it can also be applied to increase the reconstruction resolution. Experiments on simulated and real μCT data of bone and foam structures show that the proposed method indeed leads to significantly improved structure segmentation and quantification compared with what can be achieved from conventional reconstructions.
在计算机断层扫描（CT）中，部分容积效应妨碍了相对于像素尺寸较小的结构的准确分割。在本文中，我们将表明，对于由少量同质材料组成的物体，在不改变采集过程的情况下，可以大大提高重建分辨率。引入了一种基于离散层析的超分辨率重建方法，其中假设了关于物体中材料的先验知识。离散层析已经被用于从少量投影角度创建重建，但是在本文中，我们证明它也可以应用于提高重建分辨率。对骨和泡沫结构的模拟和真实 μCT 数据的实验表明，与从常规重建中获得的结果相比，所提出的方法确实可以显著改善结构分割和量化。
