| 俞海平,董育宁,邬立保,丁智,李茗.MR脑肿瘤图像分割与矩特征研究[J].中国医学影像技术,2008,24(8):1274~1276 |
| MR脑肿瘤图像分割与矩特征研究 |
| MR brain noeplasms image division and moment characteristic research |
| 投稿时间：2008-01-15 修订日期：2008-06-30 |
| DOI： |
| 中文关键词: Snake模型 梯度矢量流 能量函数 特征提取 Legendre矩 |
| 英文关键词:Snake model Gradient vector class Energy function Feature Extraction Legendre moment |
| 基金项目:南京社会发展基金资助项目(ykk05108)。 |
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| 摘要点击次数: 4942 |
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| 中文摘要: |
| 目的 对MR脑肿瘤图像进行分割,并对分割的结果进行矩描述。 方法 在分析当前常用的医学图像分割方法的基础上,提出一种基于形变模型的医学图像分割方法,并给出了相应的理论算法模型和实现步骤,最后用Visual C ++ 6. 0编程,并对MR脑肿瘤图像进行分割实验。 结果 本文分割方法分割边界清晰,总体不确定性较小。 结论 本文分割方法切实可行,分割效果较好,为进一步的MR脑肿瘤图像分析和研究提供了一种有效工具。 |
| 英文摘要: |
| Objective To segmentate MR brain noeplasms image,and to moment describe segmentation of the results. Methods After analyzing the medical image segmentation methods that are widely used now, segmentation method based on deformation model of medical images was presented, and the relevant theoretic arithmetic model and realization protocol were summed up. Using the experiment data for MR brain noeplasms image, the imaging segment code was carried out with Visual C++6. 0. Results The result of this method is very distinct, and whole uncertainty is relative low. Conclusion The segmentation technology mentioned in this paper is feasible, and the effect of segmentation is preferable, so it provides an efficient tool to analyze MR brain noeplasms images and investigate disease farther. |
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