Truncation Artifacts Caused By The Patient Table In Polyenergetic Statistical Reconstruction On Real C-Arm Ct Data

In this work, we applied the polyenergetic statistical reconstruction (PSR) technique by A. Elbakri and J. A. Fessler(1) in order to reduce beam hardening artifacts in C-arm CT data. Astonishingly, the corrections were strongly disturbed by truncation artifacts caused by the patient table. Such truncation artifacts are typically invisible with other reconstruction methods. Our findings suggest that this is due to the mathematical structure of the update step in the reconstruction algorithm. We propose two solutions-whithout changing the actual PSR algorithm-that help reduce the table-induced truncation artifacts in PSR and demonstrate their viability on clinical data sets.