TITLE:
A new hybrid particle swarm optimization for multimodal brain image registration
AUTHORS:
Fatemeh Ayatollahi, Shahriar Baradaran Shokouhi, Ahmad Ayatollahi
KEYWORDS:
Image Registration; Mutual Information; Particle Swarm Optimization; Multimodal Images
JOURNAL NAME:
Journal of Biomedical Science and Engineering,
Vol.5 No.4,
April
19,
2012
ABSTRACT: Image registration is an important issue in medical analysis. In this process the spatial transformation that aligns the reference image and the floating image is estimated by optimizing a similarity metric. Mutual information (MI), a popular similarity metric, is a reliable criterion for medical image registration. In this paper, we present an improved method for multimodal image registration based on maximization of a new form of normalized MI incorporating particle swarm optimization, PSO, as a searching strategy. Also a new hybrid PSO algorithm is applied to approach more precise and robust results with better performance.