The improved differential demon algorithm.

Background: Differential demon is a fast and efficient registration algorithm. It drives the floating image to deform using the force based on the gradient between the reference and floating image. But it will cause abnormal deformation when the driving force approaches zero,which limits its practical applications.

Objective: This paper proposed an improved differential demon algorithm, which aimed to enhance the registration performance of the existing demon algorithm.

Methods: Firstly, we review the original differential demon algorithm. Then, we propose an improved differential demon algorithm and the process of mathematical deduction. Finally, we use experiment to prove that the improved differential demon algorithm is effective and it can improve the accuracy of registration.

Results: We tested our method on data sets provided by Xuanwu Hospital Capital Medical University. The registration performance proved to be better than the original demon algorithm in terms of mutual information, normalized correlation coefficient, mean square error and iteration number.

Conclusions: Experiment results demonstrate the superiority of method proposed in this paper to the original demon algorithm.