摘要
对乳腺恶性肿瘤超声图像的"恶性晕"进行分割,可以为乳腺肿瘤的鉴别诊断提供依据。采用改进的各向异性扩散滤波对乳腺恶性肿瘤超声图像进行预处理,在Li提出局部二值拟合(LBF)模型的基础上,采用结合Otsu法和数学形态学的改进LBF模型对肿瘤超声图像分别进行内外轮廓边界分割,得到乳腺肿瘤的"恶性晕"区域。与医生手工分割的"恶性晕"区域对比,并进行定量分析。该方法分割出的"恶性晕"与医生手工分割的"恶性晕"相近,得到了较好的结果。
The method for segmenting malignant halo of malignant breast tumor in ultrasound image is useful in providing evidence for the differential diagnosis of breast tumor.In this respect,we adopt an improved anisotropic diffusion filtering method to preprocess the breast tumor ultrasound image,and then apply an improved LBF model with combination of Otsu and morphology methods to extract internal and external contours for obtaining malignant halo based on LBF model proposed by Li.We compare our data of malignant halo with doctor＇s manual-sketched malignant halo,and make quantitative analysis.The result shows that the malignant halo segmented by the proposed methods in this paper is in accordance with the manual-sketched malignant halo.
出处
《生物医学工程学杂志》
EI
CAS
CSCD
北大核心
2010年第5期1020-1024,共5页
Journal of Biomedical Engineering
