Three new soft computing approaches to two-dimensional CT image reconstruction: a comparative study

Abstract

We develop three soft computing techniques for reconstructing two-dimensional CT images from a small number of projection data. They are genetic algorithms, simulated annealing, and backpropagation reconstruction techniques. The three techniques have been developed independently of each other. We present a comparative evaluation study of these techniques. We start by introducing the three new approaches respectively, and then present the simulation result. The reconstruction result obtained by the conventional algebraic reconstruction technique is also presented. 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 method.