A New Elastic Registration Algorithm of Medical Image Based on Markov-Gibbs Random Field Model and B-spline wavelet

摘要：

A new elastic registration algorithm is proposed in this paper,which applies Markov-Gibbs random fields(MGRF)model to the elastic registration field of medical images.The algorithm is constructed by integrating the elastic registration algorithm based on B-spline wavelet and the priori knowledge of the maximum likelihood(ML)and maximum a posteriori(MAP)estimation into a MGRF model.In the MGRF model,the reference and test images are the known conditions and B-spline wavelet is the basis function constructing the elastic deformation function.The coefficients of B-spline wavelet in the deformation function are the parameters to be evaluated.Various medical images are selected to verify the algorithm,which show that the new algorithm is superior to the elastic registration one without priori knowledge.

作者: Hua Li Bo Wang Zhaowei Gu Anna Wang

作者单位: School of Information Science and Engineering Northeastern University,110004,Shenyang China

会议类型: 国际会议

会议名称: 第一届智能网络与智能系统国际会议(ICINIS 2008)(The First International Conference on Intelligent Networks and Intelligent Systems)

会议地点: 武汉

会议语种:英文

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）