Adaptive particle swarm optimization for medical image registration

In the practical applications, there are many medical images needing to be registered at some time and the requirement for the time of the registration is high. The current image registration methods register the images one by one independently, so the methods can be called static image registration methods. The kind of methods is time consuming since they need to initialize the relevant parameters before they start to deal with some image, so they can not meet the requirement of the practical applications for registration time. Through statistical research, we find the differences of the images are limited. We proposed one adaptive brain MR image registration algorithm combining inheritance idea and PSO. The experimental results show that this algorithm can obtain higher stability of image registration and lower time for image registration compared to corresponding static image registration methods. In many occasions, this algorithm can obtain high image registration precision too.