一种基于小波与概率估计的医学图像配准方法

Medical Image Registration Methods Based on Wavelet Transformation and Probability Estimate

为提高医学图像配准效果,提出了一种基于小波变换和互信息的配准方法。以小波变换对源图像进行二级分解,并在每个分解层对其子带分量分别进行贝叶斯最大验后概率估计,求概率估计的回归参数,得到配准图像的各小波子带分量,再进行小波逆变换,实现对源医学图像的配准。

To improve the performance of medical image registration, a new method based on wavelet transformation and probability estimate was proposed in this paper. Two-step decomposition of the original images was obtained by using the wavelet transformation. Bayesian maximum a posterior （MAP） probability estimate was performed separately for the sub-band component of each decomposition layer. Each wavelet sub-band component of image registration was got by probability estimating on the parameter. Original medical image registration was realized by wavelet＇s inversing transformation at last.