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基于局部调整动态轮廓模型提取超声图像乳腺肿瘤边缘
引用本文:杨晓霜,;汪源源.基于局部调整动态轮廓模型提取超声图像乳腺肿瘤边缘[J].上海生物医学工程,2008(2):63-66.
作者姓名:杨晓霜  ;汪源源
作者单位:[1]复旦大学电子工程系,上海200433
基金项目:上海市重点学科建设项目(B112)
摘    要:提出一种基于局部调整动态轮廓模型提取超声图像乳腺肿瘤边缘的算法。该算法在Chan—Vese(CV)模型基础上,定义了一个局部调整项,采用基于水平集的动态轮廓模型提取超声图像乳腺肿瘤边缘。将该算法应用于89例临床超声图像乳腺肿瘤的边缘提取实验,结果表明:该算法比CV模型更适用于具有区域非同质性的超声图像的分割,可有效实现超声图像乳腺肿瘤边缘的提取。

关 键 词:超声图像  乳腺肿瘤  边缘提取  局部调整  水平集  动态轮廓

Extracting Breast Tumor Boundaries from Ultrasonic Images Based on Local- Fitting Active Contour Model
Institution:YANG Xiao - shuang, WANG Yuan - yuan (Department of Electronic Engineering, Fudan University, Shanghai 200433 )
Abstract:A new boundary extraction method for ultrasonic breast tumor images is proposed. On the basis of Chan- Vese(CV) model, this method implements boundary extraction using a level -set based active contour model by defining a novel Local - Fitting term, which offers a better result than the CV model for the segmentation of ultrasound images with inhomogeneous regions. This method is applied to 89 clinical ultrasonic breast tumor images for edge extraction experiments, and the results show that this method can implement edge extraction of ultrasonic image efficiently.
Keywords:ultrasonic image  breast tumor  boundary extraction  Local - Fitting  level - set  active contours
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