Medical image registration seeks to find an optimal spatial transformation that best aligns the underlying anatomical structures. These problems usually require the optimization of a similarity metric. Swarm Intelligence techniques are very effective and efficient optimization methods. This systematic review focuses on 3D medical image registration using Particle Swarm Optimization

翻译：医学图像配准旨在寻找最佳空间变换，以最优对齐潜在的解剖结构。这类问题通常需要优化相似性度量。群体智能技术是非常高效且有效的优化方法。本系统综述聚焦于使用粒子群优化算法进行三维医学图像配准。