标题： 一种基于边缘对齐的中子断层扫描方向选择方法 显示英文标题

标题： An Edge Alignment-based Orientation Selection Method for Neutron Tomography

摘要： 中子计算机断层扫描（nCT）是一种用于生物学和材料科学中样品内部形态或化学成分三维表征的技术。 典型的工作流程包括将样品置于中子束路径中，在预定义的一组角度下采集投影数据，并使用解析重建算法处理所得数据。 典型的nCT扫描需要数小时到数天才能完成，然后使用传统的滤波反投影（FBP）进行处理，但FBP在稀疏视图或噪声数据下表现不佳。 因此，为了减少总体采集时间，主要方法是采用改进的采样策略与先进的重建方法相结合，例如基于模型的迭代重建（MBIR）。 本文提出了一种自适应方向选择方法，其中利用先前获取测量值的MBIR重建来定义一个目标函数，该函数在方向上平衡了促进边缘对齐的数据拟合项和促进方向多样性的正则化项。 通过模拟和实验数据，我们证明了我们的方法使用显著少于传统方法的总测量次数即可产生高质量的重建结果。 显示英文摘要

摘要： Neutron computed tomography (nCT) is a 3D characterization technique used to image the internal morphology or chemical composition of samples in biology and materials sciences. A typical workflow involves placing the sample in the path of a neutron beam, acquiring projection data at a predefined set of orientations, and processing the resulting data using an analytic reconstruction algorithm. Typical nCT scans require hours to days to complete and are then processed using conventional filtered back-projection (FBP), which performs poorly with sparse views or noisy data. Hence, the main methods in order to reduce overall acquisition time are the use of an improved sampling strategy combined with the use of advanced reconstruction methods such as model-based iterative reconstruction (MBIR). In this paper, we propose an adaptive orientation selection method in which an MBIR reconstruction on previously-acquired measurements is used to define an objective function on orientations that balances a data-fitting term promoting edge alignment and a regularization term promoting orientation diversity. Using simulated and experimental data, we demonstrate that our method produces high-quality reconstructions using significantly fewer total measurements than the conventional approach.