| 基于数学形态学的新方法在脑组织分割中的应用 |
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| 引用本文： | 郑小林,李敏,罗洪艳,张绍祥,谭立文. 基于数学形态学的新方法在脑组织分割中的应用[J]. 仪器仪表学报, 2010, 31(2) |
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| 作者姓名： | 郑小林 李敏 罗洪艳 张绍祥 谭立文 |
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| 作者单位： | 1. "生物流变科学与技术"教育部重点实验室(重庆大学)重庆大学生物工程学院,重庆,400030
2. 第三军医大学基础部解剖学教研室 重庆 400038 |
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| 摘 要： | 针对人体脑部切片图像特点,提出了一种基于数学形态学的脑组织自动分割算法.该算法首先通过形态重构获得粗糙的脑组织区域,然后运用腐蚀和膨胀运算进行边界定位分割出了脑组织,最后对连续断层图像的分割结果进行了三维重建.结果表明该算法分割准确且自动化程度高,适合于大量序列切片图像的快速自动分割.
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| 关 键 词： | 切片图像自动分割 数学形态学 形态重构 连通标记 膨胀 腐蚀 |
Application of a new method based on mathematical morphology in brain tissue segmentation |
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| Zheng Xiaolin,Li Min,Luo Hongyan,Zhang Shaoxiang,Tan Liwen. Application of a new method based on mathematical morphology in brain tissue segmentation[J]. Chinese Journal of Scientific Instrument, 2010, 31(2) |
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| Authors: | Zheng Xiaolin Li Min Luo Hongyan Zhang Shaoxiang Tan Liwen |
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| Abstract: | According to the features of slice images of human brain, an algorithm based on mathematic morphology is proposed for brain tissue segmentation in this study. Initially, the region of brain tissue in each slice image is roughly distinguished through morphological reconstruction. Then its edge is refined by means of dilation and erosion to complete the segmentation. Finally, the segmented sequential slice images are reconstructed in three dimensions to evaluate the performance of the segmentation algorithm. The results indicate that this algorithxhbits the advantages of accurate segmentation, and highly automatic processing. The proposed algorithm is suitable for rapid and automatic segmentation of massive sequential slice images. |
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| Keywords: | automatic segmentation of slice image mathematic morphology morphological reconstruction connected component labeling dilation erosion |
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