Feng Lin, Guan Huijuan, Teng Hongfei
Institute of University Students' Innovation, Dalian University of Technology, Dalian 116024, China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2005 Oct;22(5):1078-81.
The matching algorithm based on mutual information, which has the advantages of high speed, good automation and superion accuracy, is widely used in medical image registration. In this paper are presented the basic conception of mutual information, the transform model, the insert value algorithm, the optimization algorithm and the strategy in computing mutual information. Furthermore, we introduce some efficient methods for solving the problems in registration technique based on mutual information, and look forward to the future research work.
基于互信息的匹配算法具有速度快、自动化程度高和准确性高等优点，在医学图像配准中得到了广泛应用。本文介绍了互信息的基本概念、变换模型、插值算法、优化算法以及互信息计算中的策略。此外，我们还介绍了一些有效方法来解决基于互信息的配准技术中存在的问题，并展望了未来的研究工作。
