Bidirectional multi-resolution demons algorithm based on local joint entropy gradient
WANG Chang
REN Qiongqiong
QIN Xin
LIU Yan
ZHANG Wenchao
YU Yi
Abstract：Active demons cannot effectively solve registration problem with large deformation,and the result were influenced by pa-rameter setting, bidirectional multi-resolution demons based on local joint entropy gradient was proposed in this paper.In the process of registration, mutual information will increase,and local joint entropy will enlarge.Based on this rule, local joint entropy parameter of two image was introduced.The gradient of local joint entropy was added to demons driving force,bidirectional multi-resolution de-mons based on local joint entropy gradient was realized.The superiority of this algorithm was verified by natural image,MRI and CT image comparing with active demons,diffeomorphic demons.Mean square error, normalized cross correlation and structural similarity were used as statistical analysis indicators in the process of evaluation of registration result.Normalized cross correlation and structural similarity of this algorithm is the highest,mean square error is the lowest by this method.By analyzing influence of weight coefficient on registration result and setting appropriate parameters,this method can be applied to medical image registration with large deforma-tion.The research result is helpful for clinical application.
Keywords：BidirectionalMulti-resolution registrationLocal joint entropyActive demonsDiffeomorphic demons
Publication Date：2018-04-02
Online Publishing Date：2026-09-11(First online date of this platform, not the publication date of the document)
Pages：5( 159-162,172 )