Limited Angle Reconstruction Utilizing Improved Particle Swarm Optimization

Computed tomography technology has wide applications in industrial non-destructive tests, medical fields, and public security. In practice, incomplete projection is often acquired because of limitations on the detection environment, time and cost. Iterative reconstruction algorithm has a major potential to achieve superior results on the reconstruction with incomplete projection data. In this paper, we presented an iterative approach utilizing improved Particle Swarm Optimization, which can efficiently reconstruct the image from incomplete projection data by solving global optimization problem. Simulation results showed that the proposed algorithm has better convergence speed and reconstruction quality.