| 杨渝舟 严洪 仲崇发 姚宇华 宋晋忠.基于改进C-V模型的超声心动图像轮廓的提取方法[J].现代生物医学进展英文版,2014,14(32):6205-6209. |
| 基于改进C-V模型的超声心动图像轮廓的提取方法 |
| Extraction Method of Contour in Echocardiographic Images Basedon Improved C-V Model |
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| DOI： |
| 中文关键词: 灰度变换 斑点指数 超声图像滤波 超声图像分割 C-V 模型 |
| 英文关键词: Gray-scale transformation Speckle index Ultrasound image filter Ultrasound image segmentation C-V model |
| 基金项目:航天医学基础与应用国家重点实验室资助项目（SMFA13B03,SMFA12B09）;
中国航天医学工程预先研究项目(2012SY54B0601) |
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| 中文摘要: |
| 目的：通过超声图像预处理和对图像分割方法的改进，完成超声心动图中心腔轮廓的提取。方法：首先，运用基于斑点指数
的滤波方法对超声图像进行去噪。其次，对超声图像进行分段非线性灰度变换,提高图像对比度。最后，利用改进的基于C-V模型
的水平集算法对超声图像进行分割，得到精确的初始轮廓。结果：①基于斑点指数的图像滤波方法可以在不丢失细节的情况下对超
声图像进行噪声滤除。②分段非线性灰度变换可以有效提高超声图像的对比度。③改进的C-V模型可以成功的对含有斑点噪声的
超声图像进行分割。结论：本文的超声图像预处理方法和分割算法可以有效提取心腔轮廓，降低斑点噪声对图像分割结果的影响。 |
| 英文摘要: |
| Objective:To extract the contour in Echocardiographic images by preprocessing ultrasound image and improving image
segmentation method.Methods:First, a filter based on speckle index is used to suppress speckle noise in ultrasound image. Then,
piecewise non-linear gray-scale transformation is used to improve image contrast. At last, the level set method based on improved C-V
model is used to segment ultrasound image.Results:①The filter based on speckle index can eliminate noise in ultrasound image without
the loss of detail. ②The piecewise non-linear gray-scale transformation can improve the image contrast effectively. ③Ultrasound images
can be segmented successfully by using improved C-V mode.Conclusion:The preprocessing and segmentation methods can extract the
contour in Echocardiographic images effectively and reduce the influence of speckle noise on the ultrasound image segmentation results. |
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