Joint direct motion estimation/kinetic images reconstruction from gated PET DATA

Abstract

In this paper we propose a unified framework for joint motion estimation/kinetic image reconstruction from gated dynamic PET data. The method is a generalisation of previous work to include gated data. The kinetic and motion parameters are estimated jointly by maximisation of the penalised likelihood. Kinetic parameters are estimated with an optimisation transfer approach, and the non-rigid motion is estimated with a quasi-Newton algorithm. Results on synthetic phantom data show that there is an advantage in jointly estimating motion and kinetics compared to pre-estimating the motion field for motion-compensated kinetic image reconstruction.