Iterative method for tomographic reconstruction of time-varying objects

This paper presents a study investigating the reconstruction of cross secti onal images of a time-varying object from its projections, Ideally, to obta in high quality cross sectional images of a time-varying object the project ions measured should correspond to that of the same phase of the object Thi s in turn requires that the projections from different projection angles be collected at a high rate-a requirement that is difficult to achieve for va rious practical reasons. In this paper, we use a priori knowledge of underl ying object and the spectral properties of the projections to overcome the deficiency of inconsistent projections, and develop a novel image reconstru ction method. Computer simulations demonstrate that the proposed method is capable of reducing the reconstruction mean squared error and generating re constructions with much improved quality (C) 2000 SPIE and IS&T. [S1017-990 9(00)00101-X].