提出了一种多分辨率多模态医学图像配准方法来提高图像的配准速度与精度.利用小波函数对图像进行多层分解,采用改进的Powell优化算法寻找待配准图像间的最大互信(MMI).配准首先从图像金字塔中分辨率最低的0层图像开始,将0层图像配准获得的变形参数作为1层图像配准的起始参数,重复该过程直到完成最高精度层的图像配准.CT/MRI和CT/PET图像配准结果证明基于小波分解的多分辨率配准方法具有避免优化算子陷入局部极值、算子收敛速度快和配准精度高等优点.
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