| 基于IPSO和综合信息的医学图像配准新方法 |
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| 引用本文： | 魏本征.基于IPSO和综合信息的医学图像配准新方法[J].光电子．激光,2009(9):1271-1274. |
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| 作者姓名： | 魏本征 |
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| 作者单位： | 南京航空航天大学自动化学院;山东中医药大学理工学院;南京航空航天大学理学院; |
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| 基金项目： | 国家自然科学基金资助项目(10172043); 航空科学基金资助项目(05G52047); 国际合作资助项目(BZ2008060) |
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| 摘 要： | 针对医学图像配准中采用互信息作为配准相似度函数存在配准精度不高和收敛速度慢等问题,根据图像灰度和空间结构信息,构造了一种新的基于互信息和改进型形态学梯度算子的信息配准测度函数,采用一种适用于医学图像自动配准的改进型粒子群优化(IPSO)算法,给出了一种新的基于IPSO的医学图像配准算法。实验结果表明,该配准算法稳定性好、收敛速度快,在多模态医学图像自动配准中是可行的。
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| 关 键 词： | 图像配准 粒子群算法 互信息 形态学梯度 测度函数 |
A novel algorithm for multimodality medical image registration based on IPSO algorithm and hybrid information |
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| WEI Ben-zheng.A novel algorithm for multimodality medical image registration based on IPSO algorithm and hybrid information[J].Journal of Optoelectronics·laser,2009(9):1271-1274. |
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| Authors: | WEI Ben-zheng |
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| Affiliation: | WEI Ben-zheng1,2,ZHAO Zhi-min3,SONG Yi-zhong3 (1.College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China,2.College of Science and Technology,Shandong University of Traditional Chinese Medicine,Jinan 250355,3.College of Science,China) |
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| Abstract: | There are some problems such as registration inaccuracy and slow convergence in image registration when using mutual information of images as similarity function.Considering this problems,firstly,the measure function of hybrid information is presented by combining improved morphology gradient with mutual information,which is based on the pixels and structure information of the images.Secondly,the improved particle swarm optimization(IPSO) algorithm is adopted to search the optimum parameters in the medical ... |
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| Keywords: | image registration particle swarm optimization mutual information morphology gradient measure function |
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