关键词: 医学图像配准, 差分搜索算法, 交叉累计剩余熵, 智能计算

Abstract: Mutual information-based medical image registration has the characteristics of high precision and rob-ustness, but the mutual information has some local extremum. Additionally, the method is inefficient when facing to the noise images, which brings great difficulties to the optimization process. In order to solve this problem, a modified differential search algorithm (MDSA) is proposed to optimize the cross cumulative residual entropy (CCRE). The MDSA ameliorates the search method and the iterative conditions, which makes the optimization process more stable and efficient. The MDSA has the advantages of simple control parameters, no dependence on initial point selection, reasonable search direction and boundary control strategy and so on, which make MDSA have very powerful exploration and exploitation capabilities. In the experiment, the original DSA is added to the comparison with MDSA. The experimental results demonstrate the MDSA is suitable for rigid medical image registration in that MDSA not only overcomes the problem of local extrema, but also improves the speed and precision of registration. It is certified that the MDSA is an effective, robust, fast-speed automatic registration algorithm.

Key words: medical image registration, differential search algorithm, cross cumulative residual entropy, computational intelligence