| 结合遗传算法的脉冲耦合神经网络在新生儿缺氧缺血性脑病磁共振图像中的应用研究 |
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| 作者姓名： | Liu L Shi H Huo L Zhang F Zheng C You J He X Zhang J |
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| 作者单位： | 西安交通大学医学院第一附属医院;西安交通大学生命学院生物工程研究所; |
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| 基金项目： | 国家自然科学基金资助项目(30772342); 陕西省科技发展计划项目资助(2005K14-G7) |
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| 摘 要： | 为收集新生儿缺氧缺血性脑病(HIE)核磁共振图像特征数据,采用基于遗传算法(GA)结合脉冲耦合神经网络(PCNN)的方法,对新生儿HIE磁共振图像进行分割实验和病灶特征提取。结果显示:基于GA的PCNN分割不仅有较好的分割结果,且优于具有固定参数PCNN的分割,可为HIE早期诊断系统建立提供依据,为进一步诊断及研究提供有效的帮助。
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| 关 键 词： | 新生儿 缺氧缺血性脑病 磁共振图像 脉冲耦合神经网络 遗传算法 图像分割 |
Application of pulse-coupled neural network combined with genetic algorithm on MR images of hypoxic-ischemic encephalopathy |
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| Liu L,Shi H,Huo L,Zhang F,Zheng C,You J,He X,Zhang J.Application of pulse-coupled neural network combined with genetic algorithm on MR images of hypoxic-ischemic encephalopathy[J].Journal of Biomedical Engineering,2011,28(5):1019-1024. |
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| Authors: | Liu Li Shi Haiying Huo Liqin Zhang Feng Zheng Chongxun You Jia He Xining Zhang Jie |
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| Institution: | Liu Li1 Shi Haiying2 Huo Liqin2 Zhang Feng2 Zheng Chongxun2You Jia1 He Xining1 Zhang Jie11(First Affiliated Hospital of Medical College of Xi'an Jiaotong University,Xi'an 710061,China)2(Institute of Biomedical Engineering,School of Life Science and Technology,Xi'an Jiaotong University,Xi'an 710049,China) |
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| Abstract: | This paper is to provide a basis for the establishment of an early diagnostic system for hypoxic-ischemic encephalopathy(HIE) by performing segmentation and feature extraction of lesions on the MR images of neonatal babies with HIE.The segmentation on MR images of HIE based on the genetic algorithm(GA) combined with a pulse-coupled neural network(PCNN) were carried out.There were better segmentation results by using PCNN segmentation based on GA than PCNN segmentation with fixed parameters.The data suggeste... |
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| Keywords: | Newborn infant Hypoxic-ischemic encephalopathy(HIE) Magnetic resonance imaging Pulse-coupled neural network(PCNN) Genetic algorithm(GA) Image segmentation |
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