利用非瑞利统计对乳腺超声 B 扫描中的肿瘤进行识别。
Use of non-Rayleigh statistics for the identification of tumors in ultrasonic B-scans of the breast.
机构信息
Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA.
出版信息
IEEE Trans Med Imaging. 1993;12(4):687-92. doi: 10.1109/42.251119.
A model for the scattering of ultrasound from breast tissue is proposed. The model is based on the use of non-Rayleigh statistics, specifically the K distribution to describe the backscattered echo from the tissue. A multiparameter test based on this model has been designed to characterize the tissue. The data from the B-scan images of the breasts of 6 different patients were analyzed using this model. The results indicate that the non-Rayleigh statistics seem to be useful in characterizing and identifying malignant, benign, and normal tissue regions.
提出了一种用于乳房组织超声散射的模型。该模型基于使用非瑞利统计，特别是 K 分布来描述组织的反向散射回波。设计了一种基于该模型的多参数测试来对组织进行特征描述。使用该模型对 6 名不同患者的乳房 B 扫描图像的数据进行了分析。结果表明，非瑞利统计在对良、恶性和正常组织区域进行特征描述和识别方面似乎是有用的。
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