Image restoration in CT by the method of projection onto convex sets

In many foreseeable applications of Computerized tomography (CT) it may not be possible (e.g., because of obstructions) to obtain 360 degree view-data and reconstruction from partial view data may be unsatisfactory. In this paper we describe the method of projections onto convex sets (POCS)[1] by which the missing data can be restored from partial viewdata and a priori known properties of the original image. POCS performs significantly better than the conventional Gerchberg-Papoulis (GP) method.