The new idea presented in this work takes into account patient motion in the acquisition and reconstruction processes. For this work, the complete acquisition system has been developed in order to reproduce physiologic motion, analyse their effect and propose correction methods to reduce image artefacts. A new methodology based on Doppler Tissue Imaging was used to find the motion in three dimensions of several coronary artery segments. Based on these data, optimal temporal windows were defined for reconstruction and an analysis of the ideal temporal window in the heart cycle was proposed. Both motion models were then used the control of a motion platform and as input for computer simulations. A first analysis carried on coronary calcification showed the influence of respiratory motion. Estimation and correction of motions were then performed on CT raw data and simulated motion. This works shows that it is necessary to include motion in the acquisition/reconstruction algorithms in CT