ABSTRACT Robotic CT systems allow complex scanning trajectories. This work presents a workflow to automatically calculate optimised scanning trajectories for robotic CT systems. In particular, as a local quality estimation, this work introduces a quantitative measure to quantify local reconstruction quality based on the Tuy conditions. The proposed method is tested in two summation experiments using an STL model of a motorcycle. In both experiments, a trajectory is calculated using a quantitative Tuy-based local quality estimation and the reconstruction result is then compared to reconstructions using conventional scanning trajectories. The comparison results indicate that the proposed approach automatically finds trajectories that enable 3D reconstructions with high image quality using much less projection data, which allows a significant reduction of scanning time.

中文翻译：

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使用基于 Tuy 的定量局部质量估计对基于机器人的 X 射线计算机断层扫描进行扫描轨迹优化

摘要 机器人 CT 系统允许复杂的扫描轨迹。这项工作提出了一个工作流程，用于自动计算机器人 CT 系统的优化扫描轨迹。特别是，作为局部质量估计，这项工作引入了一种量化措施来量化基于 Tuy 条件的局部重建质量。使用摩托车的 STL 模型在两个求和实验中测试了所提出的方法。在这两个实验中，使用基于 Tuy 的定量局部质量估计计算轨迹，然后将重建结果与使用传统扫描轨迹的重建进行比较。比较结果表明，所提出的方法可以使用更少的投影数据自动找到能够以高图像质量进行 3D 重建的轨迹，