An Evolutionary Algorithm for CT Image Reconstruction

Abstract

Presented in this paper is an evolutionary approach to the problem of CT image reconstruction: an evolutionary algorithm (EA) is used to reconstruct CT images from a limited number of projection data, where conventional methods (e.g. Algebraic Reconstruction Techniques ART) solution tends to be unsatisfactory. We use traditional as well as adapted genetic operators in our evolutionary approach to the CT image reconstruction problem. The evolutionary algorithm yielded good results that challenge the conventional ART.

Determination of optimal number of projections and parametric sensitivity analysis of operators for parallel‐ray transmission tomography using hybrid continuous genetic algorithm

“…Recently, Chen et al and Ali et al introduced CT-based techniques using evolutionary approaches for image reconstruction (Ali et al, 2000;Chen et al, 2003). Qureshi et al introduced hybrid continuous genetic algorithm (HCGA) technique for the estimation of d-IRT.…”