摘要
对医学图像的配准方法进行了研究,提出了一种粗细结合的医学图像配准的互信息方法.该方法首先根据图像特征选择采样间隔对图像进行粗配准,直到采样间隔为0,接着再在小范围内,使用互信息的方法进行细配准,确定最终的配准参数.该方法不仅提高了使用互信息测度进行图像配准的速度,而且与等间隔采样相比,有更好的互信息平滑性能,为进一步寻找最优配准参数提供了方便.理论分析与实验结果表明,该方法对医学图像的处理有很好的效果.
Medical image registration method is studied in this paper,a coarse and fine registration method based on mutual information is proposed.In this method,firstly,according to the feature of the image,we choose the sampling interval to do rough registration,until the sampling interval is becoming zero;secondly,within certain range,the image registration is done based on the mutual information;lastly,the registration parameters are parameterized.Theoretical analysis and experiment results show that this method is efficient in medical image registration.
出处
《甘肃联合大学学报（自然科学版）》
2010年第6期39-42,59,共5页
Journal of Gansu Lianhe University :Natural Sciences
基金
湖南文理学院科研基金项目(JJYB0914)
关键词
互信息
采样
医学图像
图像配准
mutual information
sampling
medical image
image registration
