| 基于水平集方法的图像分割 |
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| 引用本文： | 付宜利,汪逸群,高文朋,王树国. 基于水平集方法的图像分割[J]. 医学影像学杂志, 2007, 17(8): 864-867 |
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| 作者姓名： | 付宜利 汪逸群 高文朋 王树国 |
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| 作者单位： | 哈尔滨工业大学Bio-X中心,黑龙江,哈尔滨,150001 |
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| 摘 要： | 目的:提取T1加权MR脑图像中的侧脑室。方法:首先用高斯滤波对原始图像进行平滑,然后利用改进的FastMarching方法对脑图像进行分割。根据T1加权MR脑图像的成像特点并结合区域信息重新定义了Fast Marching方法的速度函数,该速度函数具有良好的抗泄漏能力。结果:对一系列T1加权MR脑图像进行了分割实验,成功提取出了侧脑室。结论:改善了传统Fast Marching方法在弱边界处易泄漏的缺陷,具有更好的分割效果。
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| 关 键 词： | 阈值 水平集 快速行进法 图像分割 磁共振成像 |
| 文章编号： | 1006-9011（2007）08-0864-04 |
| 修稿时间： | 2007-03-11 |
Image segmentation based on level set method |
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| FU Yi-li,WANG Yi-qun,GAO Wen-peng,WANG Shu-guo. Image segmentation based on level set method[J]. Journal of Medical Imaging, 2007, 17(8): 864-867 |
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| Authors: | FU Yi-li WANG Yi-qun GAO Wen-peng WANG Shu-guo |
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| Affiliation: | Bio-X Center, Harbin Institute of Technology, Heilongjiang Harbin 150001, P. R. China |
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| Abstract: | Objective:To segment the cerebral lateral ventricle from T1-weighted MR images.Methods:Firstly, the MR images are smoothed by Gaussian filter, and then segmented with improved Fast Marching method. With the help of region information and the characteristics of T1-weighted MR images, a new speed function for Fast marching method was proposed. The new speed function has a higher evolutive velocity in the objective area while it has a slower evolutive velocity near the objective region edges.Results:In the experiments, the lateral ventricles from a series of T1-weighted MR images were partitioned successful.Conclusion:The results proved that the proposed algorithm gets better outcomes than the common Fast Marching method especially when the MR images have weak edges. |
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| Keywords: | Threshold value Level set Fast marching Image segmentation Magnetic resonance imaging |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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