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首页> 外文期刊>Medical Physics >Classification of scattering media within benign and malignant breast tumors based on ultrasound texture-feature-based and Nakagami-parameter images.
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Classification of scattering media within benign and malignant breast tumors based on ultrasound texture-feature-based and Nakagami-parameter images.

机译:基于超声纹理特征和Nakagami参数图像对良性和恶性乳腺肿瘤内散射介质的分类。

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PURPOSE: Benign and malignant tumors can be classified by using texture analysis of the ultrasound B-scan image to describe the variation in the echogenicity of scatterers. The recently proposed ultrasonic Nakagami parametric image has also been used to detect the concentrations and arrangements of scatterers for tumor characterization applications. B-scan-based texture analysis and the Nakagami parametric image are functionally complementary in ultrasonic tissue characterizations and this study aimed to combine these methods in order to improve the ability to characterize breast tumors. METHODS: To validate this concept, radio-frequency data obtained from 130 clinical cases were used to construct the texture-feature parametric image and the Nakagami parametric image. Four texture-feature parameters based on a gray-level co-occurrence matrix (homogeneity, contrast, energy, and variance) and the Nakagami parameters of the benign and malignant tumors were calculated. The usefulness of an individual parameter was determined and scatter graphs indicated the relationship between two selected texture-feature parameters. Fisher's linear discriminant analysis was used to combine the selected texture-feature parameters with the Nakagami parameter. The performance in classifying tumors was evaluated based on the receiver operating characteristic curve. RESULTS: The results indicated that there is a trade-off between sensitivity and specificity when using an individual texture-feature parameter or when combining two such correlated parameters to discriminate benign and malignant cases. However, the best performance was obtained when combining selected texture-feature parameters with the Nakagami parameter. CONCLUSIONS: The study findings suggest that combining B-scan-based texture analysis and the Nakagami parametric image could improve the ability to classify benign and malignant breast tumors.
机译:目的:可以通过使用B超扫描图像的纹理分析来描述良性和恶性肿瘤,以描述散射体回声性的变化。最近提出的超声Nakagami参数图像也已用于检测散射体的浓度和排列,以用于肿瘤表征应用。基于B扫描的纹理分析和Nakagami参数图像在超声组织表征中在功能上是互补的,本研究旨在将这些方法结合起来,以提高表征乳腺肿瘤的能力。方法:为了验证这一概念,从130个临床病例中获得的射频数据被用于构造纹理特征参数图像和Nakagami参数图像。计算了基于灰度共生矩阵(均匀性,对比度,能量和方差)的四个纹理特征参数以及良性和恶性肿瘤的Nakagami参数。确定了单个参数的有用性,并且散点图指示了两个选定的纹理特征参数之间的关系。 Fisher的线性判别分析用于将所选的纹理特征参数与Nakagami参数组合在一起。基于受体工作特征曲线评估肿瘤分类的性能。结果:结果表明,当使用单独的纹理特征参数或将两个此类相关参数组合以区分良性和恶性病例时,在敏感性和特异性之间要进行权衡。但是,将选定的纹理特征参数与Nakagami参数结合使用时可获得最佳性能。结论:研究结果表明,结合基于B扫描的纹理分析和Nakagami参数图像可以提高对乳腺良恶性肿瘤进行分类的能力。

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