Edge based differentiation between the malignant and the benign breast tumor in ultrasound images
CHEN Qiu-xia1, MA Bu-yun2, PENG Yu-lan2, LIU Qi1
1.Medical Information Engineering, College of Electrical Engineering and Information, Sichuan University, Chengdu 610065, China; 2.Department of Ultrasonography, West China Hospital, Sichuan University, Chengdu 610041, China
Abstract：Objective: Extracting the edge of breast tumor in ultrasonic images and distinguishing malignant from benign lesions. Method: This paper proposes an improved anisotropic diffusion filtering method which chooses diffusion equation with different diffusion coefficient according to the gradient of the image, and this method can smooth the image as well as finely preserve the boundary. Then presenting a new variational formulation in Level Set method which can avoid the step of re-initialization and make the formation of the initial Level Set function flexible, and applying a semiautomatic segmentation procedure with the rough contour is sketched first. This procedure improves not only the accuracy, but also the efficiency of the segmentation algorithm. Result: Computing the texture features of breast tumor by integrated GLCM and distinguishing the malignant from the benign by fuzzy C-means method, and the accuracy rate is 72.64%. Conclusion: The experiments show that the proposed algorithms could extract the contour of the breast tumor effectively and accurately, providing reliable foundation for differentiation of the malignant and the benign breast tumor.
陈秋霞;马步云;彭玉兰;刘 奇. 基于超声图像边缘的乳腺肿瘤良恶性判别[J]. , 2010, 21(1): 17-20.
CHEN Qiu-xia;MA Bu-yun;PENG Yu-lan;LIU Qi. Edge based differentiation between the malignant and the benign breast tumor in ultrasound images. , 2010, 21(1): 17-20.
2010, Vol. 21 
