Medical Image Registration Method Based on Improved Optical Flow Model
基于改进光流场模型的医学图像配准方法

The registration methods based on optical flow can be conveniently implemented and the registration process is efficient. But all of the appeared registration methods based on optical flow use the initial optical flow model, which make the image fuzzed seriously so that it can not be used. In this paper we improve the regularization term in the initial optical flow model and introduce a motion-blurred image restoration algorithm. The new method reduced the blurring of the initial optical flow model. The experiment results show that results of high accuracy and efficiency can be obtained using the image registration method based on improving the optical flow model.