Tomographic imaging systems are expected to work with a wide range of samples that house complex structures and challenging material compositions, which can influence image quality in a bad way. Complex samples increase total measurement duration and may introduce beam-hardening artifacts that lead to poor reconstruction image quality. This work presents an online trajectory optimization method for an X-ray computed tomography system with a robotic sample holder. The proposed method reduces measurement time and increases reconstruction image quality by generating an optimized spherical trajectory for the given sample without prior knowledge. The trajectory is generated successively at runtime based on intermediate sample measurements. We present experimental results with the robotic sample holder where two sample measurements using an optimized spherical trajectory achieve improved reconstruction quality compared to a conventional spherical trajectory. Our results demonstrate the ability of our system to increase reconstruction image quality and avoid artifacts at runtime when no prior information about the sample is provided.

翻译：断层成像系统需处理具有复杂结构和挑战性材料成分的多样化样品，这些特性可能对图像质量产生负面影响。复杂样品会延长总测量时长，并可能引入射束硬化伪影，导致重建图像质量下降。本文提出一种针对配备机器人样品支架的X射线计算机断层扫描系统的在线轨迹优化方法。该方法无需先验知识，通过为给定样品生成优化的球形轨迹，有效减少测量时间并提升重建图像质量。轨迹基于中间样品测量结果在运行时逐次生成。我们展示了机器人样品支架的实验结果：与常规球形轨迹相比，采用优化球形轨迹的两组样品测量获得了更好的重建质量。实验结果表明，在无样品先验信息的情况下，该系统能够提升重建图像质量并在运行时避免伪影。