Yang Wei, Zhang Su, Chen Yazhu, Li Wenying, Chen Yaqing
Department of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Comput Biol Med. 2009 Mar;39(3):231-8. doi: 10.1016/j.compbiomed.2008.12.007.
Shape characteristics of malignant and benign breast tumors are significantly different. In this paper, the reflective symmetry of breast tumor shapes on ultrasound images was investigated. A new reflective symmetry measure (RSML) derived from multiscale local area integral invariant was proposed to quantify the shape symmetry of breast tumor, which could be computed directly from the binary mask image without the shape parameterization in terms of arc length. The performance of several symmetry measures for differentiating malignant and benign breast tumors at varying scales was evaluated and compared by receiver operating characteristic (ROC) analysis. RSML with Gaussian kernel at scale 0.04 (related to the maximal diameter) achieved the highest area under the ROC curve (0.85) on the image data of 168 tumors (104 benign and 64 malignant). The experimental results showed that the reflective symmetry of breast tumor shape was capable of providing potential diagnostic information, which could be characterized quantitatively by RSML with the appropriate scale parameter.
恶性和良性乳腺肿瘤的形状特征存在显著差异。本文对超声图像上乳腺肿瘤形状的反射对称性进行了研究。提出了一种基于多尺度局部区域积分不变量的新的反射对称度量（RSML）来量化乳腺肿瘤的形状对称性，该度量可直接从二值掩码图像计算得出，无需根据弧长进行形状参数化。通过接收器操作特征（ROC）分析，评估并比较了几种对称度量在不同尺度下区分恶性和良性乳腺肿瘤的性能。在168个肿瘤（104个良性和64个恶性）的图像数据上，尺度为0.04（与最大直径相关）的高斯核RSML在ROC曲线下面积达到最高值（0.85）。实验结果表明，乳腺肿瘤形状的反射对称性能够提供潜在的诊断信息，通过具有适当尺度参数的RSML可以对其进行定量表征。
