Registration of Multi-Resolution Medical Images Using a Modified Artificial Fish-Swarm Algorithm Combined with Powell's Method

赵海峰

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Registration of Multi-Resolution Medical Images Using a Modified Artificial Fish-Swarm Algorithm Combined with Powell's Method

更新时间：2025-11-17

- Registration of Multi-Resolution Medical Images Using a Modified Artificial Fish-Swarm Algorithm Combined with Powell's Method
- Vol. 45, Issue 4, Pages: 46-52(2011)
- 作者机构：
  
  安徽大学计算智能与信号处理教育部重点实验室,合肥,230039
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.41
- Published：2011
- 稿件说明：
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赵海峰. Registration of Multi-Resolution Medical Images Using a Modified Artificial Fish-Swarm Algorithm Combined with Powell's Method[J]. 2011, 45(4): 46-52.
DOI：

赵海峰. Registration of Multi-Resolution Medical Images Using a Modified Artificial Fish-Swarm Algorithm Combined with Powell's Method[J]. 2011, 45(4): 46-52. DOI：

摘要

针对目前基于互信息图像配准的局部极值问题

提出了一种改进的人工鱼群算法和Powell算法结合的多分辨率医学图像配准算法.该算法采用新的相似性测度方法即归一化模糊加权互信息和归一化局部能量加权匹配度

利用多分辨率策略采用HPV插值

并采用改进的人工鱼群算法结合Powell算法完成医学图像的配准.采用改进的人工鱼群算法在图像的最低分辨率上进行全局优化

以全局最优值为初始值

结合Powell算法完成图像配准.这不仅基本解决了互信息函数和Powell算法的局部极值问题

还减少了数据的处理量

加快了配准速度.实验结果表明

文中算法与其他经典的配准算法相比

提高了配准的精确度和性能.

Abstract

A registration algorithm of multi-resolution medical images is proposed by using a modified artificial fish-swarm algorithm combined with Powell's method to address the local maxima of mutual information-based image registration. Fuzzy weighted normalized mutual information and normalized partial energy-weighted matching are proposed as new similarity measures

multi-resolution strategy and HPV interpolation are used

and global optimization is performed with the proposed registration algorithm. Experimental results and comparisons with some existing registration methods in multi-mode medical image registration show that the proposed algorithm improves registration accuracy and performance.

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references

罗述谦,周果宏.医学图像处理与分析[M]. 北京: 科学出版社,2003.

田捷,包尚联,周明全.医学影像处理与分析[M]. 北京: 电子工业出版社,2003.

INGLADA J,MURON V,PICHARD D, et al.Analysis of artifacts in subpixel remote sensing image registration[J].IEEE Transactions on Geoscience and Remote Sensing,2007,45(1):254-264.

SHU Lixia,TAN Tieniu.SAR and SPOT image registration based on mutual information with contrast measure[C]∥Proceedings of the IEEE International Conference on Image Processing. Piscataway, NJ, USA: IEEE, 2007:429-432.

PENG H, LONG F, DING C.Feature selection based on mutual information:criteria of max-dependency,max-relevance, and min redundancy[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, 27:1226-1238.

李乔亮,汪国有,刘建国,等. 基于样条金字塔和互信息的快速图像配准[J].计算机应用研究,2009,26(5): 1949-1950,1960.

LI Qiaoliang, WANG Guoyou, LIU Jianguo, et al. Fast image registration based on spline pyramid and mutual information[J]. Application Research of Computers, 2009, 26(5):1949-1950,1960.

PLUIM J P W, MAINTZ J B A, VIERGEVER M A.Mutual information based registration of medical images: a survey[J].IEEE Transactions on Medical Imaging,2003,22(8):986-1004.

刘凌子,周永权.一种基于人工鱼群和文化算法的新型混合全局优化算法[J].计算机应用研究,2009, 26(12):4446-4448.

LIU Lingzi, ZHOU Yongquan. Hybrid global optimization algorithm based on artificial fish swarm and cultural algorithm[J]. Application Research of Computers, 2009, 26(12):4446-4448.

曹洁,戴峻峰.基于互信息和改进PV插值算法的医学图像配准[J].科学技术与工程,2007,7(23):6066-6069.

CAO Jie, DAI Junfeng. Medical image registration based on mutual information and expanded PV interpolation[J]. Science Technology and Engineering, 2007, 7(23):6066-6069.

JOSIEN P W, PLUIM J B, ANTOINE M, et al. Interpolation artifacts in mutual information-based image registration[J]. Computer Vision and Image Understanding, 2000,77:211-232.

陆雪松.聚焦超声治疗系统中的图像非刚性配准算法研究及应用[D].上海:上海交通大学生命科学技术学院,2008.

KENNEDY J,MENDES R. Neighborhood topologies in fully-in-formed and best-of-neighborhood particle swarms[J].IEEE Transactions on Systems,Man and Cybernetics: Part C Applications and Reviews,2006,36(4):515-519.

KARAKUZU C. Fuzzy controller training using particle swarm optimization for nonlinear system control [J]. ISA Transaction, 2008, 47(2): 229-239.

温浩,郭崇慧. 利用粒子群优化的人脸特征提取识别算法[J].西安交通大学学报,2010,44(4):48-52.

WEN Hao, GUO Chonghui. Face recognition with features extraction based on particle swarm optimization [J]. Journal of Xi'an Jiaotong University, 2010,44(4):48-52.

XIAO Jianmei, ZHENG Xiaoming, WANG Xihuai, et al. A modified artificial fish-swarm algorithm [C]∥Proceedings of the 6th World Congress on Intelligent Control and Automation. Piscataway, NJ, USA: IEEE, 2006:3456-3460.

沈小卫,何明一. 一种基于混合优化算法的医学图像配准方法[J].计算机应用研究,2010,27(8):3159-3161.

SHEN Xiaowei, HE Mingyi. Medical image registration based on hybrid optimization algorithm [J]. Application Research of Computers, 2010,27(8):3159-3161.

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