Tomographic Imaging

计算机断层扫描（CT）是一种强大的无损评价（NDE）技术，用于从一系列2D投影（阴影图）中生成物体的2D横截面和3D图像。这个过程的关键是计算机算法，它能够预处理，然后从许多（通常超过数千）阴影图中重建3D图像。从断层扫描获得有用信息有三个关键步骤：i）从初始图像捕获开始的校正和校准阶段，ii）从这些2D投影重建3D图像，以及iii）分析和量化3D对象中的特征。虽然这些技术正在迅速普及，但大多数用户在尝试恢复3D图像时具有相当有限的选项，并且只能编写相当原始的计算机程序来从图像中提取关键特征。该CCP的目的是建立一个框架，在该框架内，不同的重建算法、伪影减少代码和图像分析程序可供所有人使用。

Computed Tomography (CT) is a powerful non-destructive evaluation (NDE) technique for producing 2-D cross-sections and 3-D images of an object from a series of 2D projections (shadowgraphs). Critical to the process is the computer algorithms that are able to pre-process and then reconstruct the 3D images from many (often over thousands) shadowgraphs. There are three critical steps to obtaining useful information from tomography i) the correction and calibration stage starting from initial image capture, ii) the reconstruction of a 3D image from these 2D projections and iii) the analysis and quantification of features in the 3D object. While the techniques are rapidly growing in popularity, most users have fairly limited options when trying to recover the 3D image and are able to write only fairly primitive computer programs to extract key features from the images. The aim of this CCP is to establish a framework within which different reconstruction algorithms, artefact reduction codes, and image analysis procedures are made available to all.