Monitored Reconstruction: Computed Tomography as an Anytime Algorithm
Monitored Reconstruction: Computed Tomography as an Anytime Algorithm
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DOI：
10.1109/access.2020.3002019
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发表时间：
2020-01-01
期刊：
影响因子：
3.9
通讯作者：
Arlazarov, Vladimir V.
中科院分区：
文献类型：
--
作者：
Bulatov, Konstantin;Chukalina, Marina;Arlazarov, Vladimir V.
计算机断层扫描是一种重要的技术，用于对物体的内部结构进行非破坏性分析，与科学研究、医学应用和工业相关。在断层成像领域出现的紧迫挑战包括加速重建，减少获得X射线投影所需的时间，以及减少给予对象的辐射剂量。在本文中，我们介绍了一个模型的监测重建过程中，其中采集的投影穿插图像重建。该模型允许将断层扫描重建过程作为一种随时算法进行检查，并考虑寻找最佳停止点的问题，该停止点对应于当前扫描对象所需的X射线投影数量。我们概述了监测重建的理论框架，提出了各种重建质量指标的停止规则的构建方法，并提供了实验评估。由于针对不同对象在不同时间停止，所提出的方法允许针对给定的平均X射线投影数量实现更高的平均重建质量。相反，平均使用较少的投影来实现相同的平均重建质量。
Computed tomography is an important technique for non-destructive analysis of an object's internal structure, relevant for scientific studies, medical applications, and industry. Pressing challenges emerging in the field of tomographic imaging include speeding up reconstruction, reducing the time required to obtain the X-ray projections, and reducing the radiation dose imparted to the object. In this paper, we introduce a model of a monitored reconstruction process, in which the acquiring of projections is interspersed with image reconstruction. This model allows to examine the tomographic reconstruction process as an anytime algorithm and consider a problem of finding the optimal stopping point, corresponding to the required number of X-ray projections for the currently scanned object. We outline the theoretical framework for the monitored reconstruction, propose ways of constructing stopping rules for various reconstruction quality metrics and provide their experimental evaluation. Due to stopping at different times for different objects, the proposed approach allows to achieve a higher mean reconstruction quality for a given mean number of X-ray projections. Conversely, fewer projections on average are used to achieve the same mean reconstruction quality.