基于B样条的医学图像配准新算法

New Mixing Rigid-elastic Multiresolution Algorithm for Medical Image

目的:提出一种基于B样条的医学图像塔式配准新算法,即RE配准模型。方法:首先实现图像的整体配准,即用一次B样条基函数作为变形函数,对图像进行仿射变换;然后通过均匀增加节点数量及改变变形函数的复杂性,实现图像细节上的配准,这一循环匹配过程主要是通过改变B样条基函数及控制系数复杂性,来实现图像的仿射变换及弹性变换。结果:整个匹配算法体现了图像从整体到细节的匹配思想。结论:实验证明,该方法与单纯的弹性配准方法相比,不仅计算速度有很大的提高,而且有很强的鲁棒性。

Objective To present a new algorithm for multidimensional medical image registration from global registration to local registration in sequence. Methods Firstly, the global registration was achieved by the method of affine transformation composed of B-splines,whose knots were the four vertexes of the medical image. Then the knots of the B-splines were increased, and the transformation function was more complex and elastic than ever,which completed the elastic aligning for the detail of the medical image. Results The whole registration algorithm represented the principle aligning from global registration to local registration. Conclusion It is proved by experiments that the presented algorithm can decrease the time of calculation and increase the robustness of registration.[Chinese Medical Equipment doumal, 2008,29 （4） ：5-8]