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Tomographic imaging systems are expected to work with a wide range of samplesthat house complex structures and challenging material compositions, which caninfluence image quality in a bad way. Complex samples increase totalmeasurement duration and may introduce beam-hardening artifacts that lead topoor reconstruction image quality. This work presents an online trajectoryoptimization method for an X-ray computed tomography system with a roboticsample holder. The proposed method reduces measurement time and increasesreconstruction image quality by generating an optimized spherical trajectoryfor the given sample without prior knowledge. The trajectory is generatedsuccessively at runtime based on intermediate sample measurements. We presentexperimental results with the robotic sample holder where two samplemeasurements using an optimized spherical trajectory achieve improvedreconstruction quality compared to a conventional spherical trajectory. Ourresults demonstrate the ability of our system to increase reconstruction imagequality and avoid artifacts at runtime when no prior information about thesample is provided.

Runtime optimization of acquisition trajectories for X-ray computed tomography with a robotic sample holder