Three New Soft Computing Approaches to Two-Dimensional CT Image Reconstruction : A Comparative Study

摘要

Recently, we developed three soft computing techniques for reconstructing two-dimensional CT images from a small number of projection data. They are genetic algorithms, simulated annealing, and back propagation reconstruction techniques. The three techniques have been developed independently of each other. In this paper we present a comparative evaluation study of these techniques. We start by introducing three new approaches one by one, and then present simulation result. Reconstruction result by a well known conventional method - Algebraic Reconstruction Technique (ART) - is also presented for sake of comparison. A quantitative evaluation among the four reconstruction methods is presented. A pixel-wise error estimator is used to calculate the overall error in the reconstructed images. The estimator reveals the effectiveness of the proposed techniques compared to the conventional ART.