Possibility assessment of CBCT metal artifact reduction based on PICCS reconstruction and trajectory optimization

Sepideh Hatamikia, Ander Biguri, Gernot Kronreif, Joachim Kettenbach, Tom Russ, Wolfgang Birkfellner

Abstract: Precise placement of needles plays a crucial role in percutaneous procedures as it helps to achieve higher diagnostic accuracy and accurate tumor targeting. C-arm cone-beam computed tomography (CBCT) has the potential to precisely image the anatomy in direct vicinity of the needle. However, exact needle positioning is very difficult due to strong metal artifacts around the needle. In this study, we evaluate the performance of the prior image constrained compressed sensing (PICCS) CBCT reconstruction in presence of metal objects. Our results confirm the high performance of PICCS to reduce needle artifacts using both circular and non-conventional trajectories under kinematic constraints.