Robustness of recursive Bayesian estimation of respiratory motion with inter-cycle variation

Compensation of respiratory motion has been identified as a crucial factor in achieving high resolution Nuclear Medicine (NM) imaging. Many motion correction approaches have been studied and they are seen to have advantages over simpler motion compensation approaches such as respiratory gating. However, all motion correction approaches rely on an assumption or estimation of respiratory motion. This paper builds upon previous work in recursive Bayesian estimation (RBE) of respiratory motion assuming stereo camera observation of external respiratory motion. In this paper, additional stereo-camera derived XCAT cycles are used to evaluate the robustness of RBE with inter-cycle variation.