| 基于人工生命的医学图像分割 |
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| 引用本文： | 曹会志,杜光伟,罗述谦.基于人工生命的医学图像分割[J].国外医学：生物医学工程分册,2005,28(6):355-360. |
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| 作者姓名： | 曹会志 杜光伟 罗述谦 |
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| 作者单位： | 首都医科大学生物医学工程学院,北京100054 |
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| 基金项目： | 国家自然科学基金资助项目（60472020） |
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| 摘 要： | 医学图像中解剖结构和相关诊断信息的提取有着极为重要的意义，但目前的分割算法大都需要借助专家的干预和监控，寻求一种全自动分割的方法变得日益重要。人工生命的方法有助于人们了解生物学规律，并且在机器人、计算机图形学等方面得到了成功应用。主要介绍基于人工生命的方法在医学图像自动分割领域的初步应用。
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| 关 键 词： | 人工生命 图像分割 图像处理 |
| 收稿时间： | 05 1 2005 12:00AM |
Artificial life for medical image segmentation |
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| CAO Hui-zhi , DU Guang-wei , LUO Shu-qian.Artificial life for medical image segmentation[J].Foreign Medical Sciences(Biomedical Engineering Fascicle),2005,28(6):355-360. |
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| Authors: | CAO Hui-zhi DU Guang-wei LUO Shu-qian |
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| Institution: | Department of Biomedical Engineering, Capital University of Medical Sciences, Beijing 100054, China |
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| Abstract: | The segmentation of anatomical structures and extraction of useful diagnostic information is very important in medical image, unfortunately most current segmentation methods require expert interaction and supervision. We are eager to look for a completely automated segmentation method. Artificial life helps people to understand biological systems and has been successfully used in robotics, computer graphics, etc. The author mainly expounds the initial application of artificial life in medical image automated segmentation. |
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| Keywords: | artificial life image segmentation image processing |
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