Application of mutual information based on weighted entropy in medical image registration

Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (16): 207-210.

• 图形、图像、模式识别 • Previous Articles Next Articles

Application of mutual information based on weighted entropy in medical image registration

ZHU Shengquan，ZHAO Haifeng，LUO Bin

Department of Computer Science and Technology，Anhui University，Hefei 230039，China

Received:1900-01-01 Revised:1900-01-01 Online:2011-06-01 Published:2011-06-01

加权熵互信息在医学图像配准中的应用

朱圣权，赵海峰，罗斌

安徽大学计算机科学与技术学院，合肥 230039

Abstract

Abstract: The medical image registration by mutual information has been accepted as one of the most accurate and highly-
automated methods.For the mutual information calculated by partial volume interpolation method and Shannon entropy，certain local extremums are inevitable，which may lead to inaccurate registration.Weighted entropy instead of Shannon entropy to compute the mutual information is proposed in this paper，and it has been used in medical image registration experiment.The experimental results show that the method can smooth the local extremums of mutual information and reduce the possibility of wrong medical image registration.

Key words: mutual information, medical image registration, partial volume interpolation, weighted entropy

摘要： 基于互信息的医学图像配准方法具有自动化程度高、配准精度高等优点。采用部分体积插值法和香农熵计算得到的互信息，无法避免会出现一些局部极值，可能导致错误的配准。提出了一种用加权熵代替香农熵的互信息计算方法，并将其应用于图像配准实验。实验结果表明，该方法能够有效平滑互信息的局部极值，减少错误的医学图像配准。

关键词: 互信息, 医学图像配准, 部分体积插值法, 加权熵

ZHU Shengquan，ZHAO Haifeng，LUO Bin. Application of mutual information based on weighted entropy in medical image registration[J]. Computer Engineering and Applications, 2011, 47(16): 207-210.

朱圣权，赵海峰，罗斌. 加权熵互信息在医学图像配准中的应用[J]. 计算机工程与应用, 2011, 47(16): 207-210.

[1]	LI Longzhu, LIN Yaojin, LYU Yan, LU Shun, WANG Chenxi. Online Streaming Feature Selection Algorithm Using Neighborhood Information Interaction [J]. Computer Engineering and Applications, 2021, 57(21): 102-108.
[2]	GUO Yanfen, CUI Zhe, YANG Zhipeng, PENG Jing, HU Jinrong. Research Progress of Medical Image Registration Technology Based on Deep Learning [J]. Computer Engineering and Applications, 2021, 57(15): 1-8.
[3]	QIU Yunfei, GAO Huacong. Hybrid Filter and Improved Adaptive GA for Feature Selection [J]. Computer Engineering and Applications, 2021, 57(11): 95-102.
[4]	CHEN Jiancu, WANG Yue, ZHU Xiaofei, LI Zhangyu, LIN Zhihang. Wild Animal Video Object Detection Method Combining Multi-feature Map [J]. Computer Engineering and Applications, 2020, 56(7): 221-227.
[5]	XIE Xinrui, LEI Xiuren, ZHAO Yan. Application of Mutual Information and Improved PCA Dimensionality Reduction Algorithm in Stock Price Forecasting [J]. Computer Engineering and Applications, 2020, 56(21): 139-144.
[6]	ZENG An, WANG Lieji, PAN Dan, HUANG Yin. Research on Medical Image Registration Technology Based on FCN and Mutual Information Algorithm [J]. Computer Engineering and Applications, 2020, 56(18): 202-208.
[7]	LIU Yongfang, HAO Xiaoyan, LIU Rong. Research of Technology on Building China English New Words Corpus [J]. Computer Engineering and Applications, 2020, 56(16): 165-168.
[8]	ZHANG Xiaoqin, LIU Linan. Bipartite Network Community Detecting Algorithm Based on Intimacy and Attraction [J]. Computer Engineering and Applications, 2019, 55(23): 170-176.
[9]	ZHU Qiongqiong1, LI Ping1, YANG Cheng1，2, HU Jianhua1. Wireless indoor localization algorithm based on adaptive selection of access point [J]. Computer Engineering and Applications, 2018, 54(14): 120-126.
[10]	HONG Zheng, TIAN Yifan, ZHANG Hongze, WU Lifa. Extended prefix tree based protocol format inference [J]. Computer Engineering and Applications, 2018, 54(12): 14-20.
[11]	YANG Jing, PENG Guohua. Super resolution of periodic video with low frame rate [J]. Computer Engineering and Applications, 2017, 53(8): 174-179.
[12]	XU Guangmei1, LIU Hongzhe2, ZHANG Jingzun1, WANG Jinhua1. Improving multi-relational Naive Bayesian classifier using smoothing methods [J]. Computer Engineering and Applications, 2017, 53(5): 69-72.
[13]	NIAN Mei1, FAN Zukui2, LIU Ruolan1. Study on construction of emotional dictionary of Uyghur language [J]. Computer Engineering and Applications, 2017, 53(4): 152-155.
[14]	DONG Zemin1, SHI Qiang2. Feature selection using normalized fuzzy joint mutual information maximum [J]. Computer Engineering and Applications, 2017, 53(22): 105-110.
[15]	ZHANG Yunli, FAN Nianbai. Incremental F-parallel attributes reductions of decision information system [J]. Computer Engineering and Applications, 2017, 53(2): 83-87.

Application of mutual information based on weighted entropy in medical image registration

加权熵互信息在医学图像配准中的应用

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics