Image reconstruction from truncated projections: A linear prediction approach

Unambiguous reconstruction is not possible with truncated projections. In order to reduce the ambiguity in the reconstructed image, several authors have suggested that a simple ´completion´ involving extrapolation of the truncated projection is sufficient. In this paper a method based on a Linear Prediction approach is proposed for obtaining the missing part in the projection. Reconstruction is then carried out using the Convolution Backprojection (CBP) method [1]. Simulation results showing the effectiveness of this method in extracting significantly more information from truncated projections are presented.