[Implementation of mutual information based medical image registration methods].
Image registration methods based on mutual information, including mutual information and normalized mutual information, have been accepted as the most accurate and efficient methods. But there are many fluctuations in the registration functions that hinder the optimization procedure and lead to registration failure in intra-modal registration. We found that besides the interpolation artifacts, the uncertainty of the changing of entropy with the changing of overlap also contributes to the fluctuations. The effect of interpolation artifacts can be eliminated, but it is difficult to eliminate the effect of uncertainty of entropy. Luckily, this effect is not significant in normalized mutual information. Normalized mutual information is more stable and robust than standard mutual information and its better performance and wider application can be expected.
Gao
Zhiyong
Z
Institute of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan 430074.
Gu
Bin
B
Lin
Jiarui
J
D000465:Algorithms; D003952:Diagnostic Imaging; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods; D008490:Medical Informatics / Q000379:methods; D012042:Registries