【摘要】 损伤组织的无损检测是高强度聚焦超声(High intensity focused ultrasound,HIFU)治疗过程中的非常重要的辅助过程。提出了一种基于自组织映射(Self-organizing maps,SOM)网络利用B超图像实时无损地检测损伤组织的方法。HIFU辐射后,组织的损伤必然会引起B超图像的变化,对HIFU焦域附近的数字减影图像以及HIFU辐射前后超声图像进行处理和分析。利用SOM方法对数字减影图像进行特征提取。实验证明,相比分别采用减影图像的平均灰度、能量和标准差作为识别特征的方法,利用SOM提取出来的特征进行识别,可以得到更好的识别效果。更多还原

【Abstract】 Noninvasive detection of tissue lesion is an important aided way in the process of high intensity focused ultrasound (HIFU) treatment. A new method is proposed for noninvasive detection of tissue lesion based on self-organizing maps(SOM) network. Tissue lesion,created by HIFU exposures,inevitably leads to change in B-mode image,since some new interfaces will appear in tissue. The difference-sub-image near focus of HIFU,where the tissue lesion appears,is used. Feature of lesion in difference-sub-image is extracted using the method based on SOM network. Experimental results show that the performance of the method proposed in this paper is better than that of others,such as the methods based on average gray,energy and standard deviation of difference-sub-image.更多还原