Tomographic reconstruction of time-varying object from linear time-sequential sampled projections

This paper considers the reconstruction of time-varying object by computer tomography. In practice, projections at different directions are measured in sequence. Thus, when the object is time-varying, the projections at different directions are obtained at different time and will not correspond to those of the same distribution. The reconstructed images will therefore have motion artifacts. A new image reconstruction method based on a priori knowledge of the projections is introduced to solve this problem. A novel iterative algorithm is developed and its validity is demonstrated by computer simulation results