Analysis of the α -Renyi entropy and its application for medical image registration

被引：2

作者：

Pan M. ^{[1
]}

Zhang F. ^{[1
]}

机构：

[1] College of Computer Science and Technology, Hunan University of Arts and Science, Changde

来源：

Biomedical Engineering - Applications, Basis and Communications | 2017年 / 29卷 / 03期

关键词：

Entropy; Image registration; Medical image; α -Renyi mutual information;

D O I：

10.4015/S101623721750020X

中图分类号：

学科分类号：

摘要：

In this paper, the α-Renyi entropy and α-Renyi-based mutual information (RMI) are first introduced. Then the influence of the parameter α on the curve of the RMI and the computational load of image registration are discussed and analyzed to explore the appropriate parameter ranges. Finally, the RMI with the appropriate parameter α is viewed as the similarity measure between the reference and floating images. In the experiments, the Simplex method is chosen as the multi-parameter optimization one. The experimental results reveal that the proposed method has low computational load, fast registration and good registration accuracy. It is adapted to both mono-modality and multi-modality image registrations. © 2017 National Taiwan University.

引用

共 24 条

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