| 林其忠,余建国,王怡.超声乳腺肿瘤图像的边缘提取[J].中国医学影像技术,2007,23(10):1572~1574 |
| 超声乳腺肿瘤图像的边缘提取 |
| Boundary extraction of ultrasonic breast tumor image |
| 投稿时间：2007-04-23 修订日期：2007-07-25 |
| DOI： |
| 中文关键词: 超声图像 边缘提取 各向异性扩散 GGVF Snake |
| 英文关键词:Ultrasonic image Boundary extraction Anisotropic diffusion GGVF Snake |
| 基金项目:上海市科委基金项目资助(054119612)。 |
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| 摘要点击次数: 1950 |
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| 中文摘要: |
| 目的 探求乳腺肿瘤超声图像的边缘提取。方法 广义梯度矢量流Snake模型已经成功地用于噪声相对比较小的CT、MRI等医学图像,然而乳腺肿瘤超声图像对比度低,斑点噪声大,很难将该模型直接应用于乳腺肿瘤超声图像。本文针对乳腺肿瘤超声图像的特点如图像对比度低,斑点噪声大,部分边缘缺失,肿瘤内部微细结构分布复杂(如血管,钙化灶等),特别恶性肿瘤还具有复杂形状等,采用相应的图像处理技术如非线性各向异性扩散滤除斑点噪声,形态学滤波器平滑图像,直方图均衡化提高图像的对比度,最后将该模型引入到乳腺肿瘤超声图像边缘提取。结果 实验对158例乳腺肿瘤超声图像进行边缘提取,定量和定性分析均获得满意的结果。结论 本文方法可以有效地用于超声乳腺肿瘤图像的边缘提取。 |
| 英文摘要: |
| Objective To extract boundary of ultrasonic breast tumor image. Methods Generalized gradient vector flow snake has been successfully applied to CT and MRI. However, due to poor image contrast and high-level speckle noise it is unsuitable to directly apply GGVF Snake to segment ultrasonic breast tumor image. To deal with the characteristics of the images: poor image contrast, high-level speckle noise, boundary gaps and irregular shape, ultrasonic breast tumor image is firstly preprocessed such as nonlinear anisotropic diffusion, morphological filter and histogram equalization, then GGVF Snake is applied to extract the boundary of breast tumor. Results Experiments on 158 ultrasonic breast tumor images showed that both quality and quantity Results are promising. Conclusion Proposed method could extract the boundary of breast tumor effectively. |
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