Project Proposals

This paper presents a proposal (not entirely new) for combining analytical and algebraic reconstruction techniques. Such a combination bears the promise to improve the image quality of fast but non-exact, reconstruction of the filtered backprojection type. The difference between the present proposal and traditional ART is that we compute a full error image with FBP, applied to projection differences, to update the solution in each iteration step. The main roadblock seems to be the same that has been an obstacle for many ART-algorithms in CT applications, namely that the forward projections are subjected to ailiasing, which tend to override the intended benefits of the updating loop. We present an analysis of this problem and indicate some possible solutions.