Swarm intelligence algorithms for medical image registration: A comparative study

Abstract

The search for transformation parameters for image registration has been treated traditionally as a multidimensional optimization problem. Non-rigid registration of medical images has been approached in this paper using the particle swarm optimization algorithm and the artificial bee colony algorithm (ABC). Brief introductions to these algorithms have been presented. Results of Matlab simulations of medical image registration approached through these algorithms have been analyzed. The results show that the ABC algorithm results in higher quality of image registration; but, takes longer to converge. The tradeoff issue between the quality of registration and the computing time has been brought forward. This has a strong impact on the choice of the most suitable algorithm for a specific medical application.