Mutual Information-Based Medical Image Registration Method with Improved Particle Swarm Optimization Algorithm
Yigang Sun · Journal of Civil Aviation University of China · 2009
Medical image registration is the process of finding a geometric transformation between the respective image-based coordinate systems that maps a point in the first image to the point in the second one that has the same patient-based coordinates and the same anatomic location,so it has significant application in diagnosis and clinical scientific research.The image registration method based on mutual information has been accepted as the most accurate automated and efficient method.But there are many fluctuations in the registration function resulting from interpolation artifacts,which hinder the local optimization procedure and lead to convergence at local optimum even wrong registration.In this paper,a new optimization method using improved particle swarm global search algorithm is presented,which adjusts the parameters in different search phrases.This method is validated to ensure the accuracy of optimization search and improve the correctness of the registration process based on mutual information.