• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2011, Vol. 33 ›› Issue (12): 57-60.

• 论文 • 上一篇    下一篇

一种基于B超图像处理的生物组织变性监测方法

邹〓孝,钱盛友   

  1. (湖南师范大学物理与信息科学学院,湖南 长沙 410081)
  • 收稿日期:2010-05-20 修回日期:2010-10-26 出版日期:2011-12-24 发布日期:2011-12-25

A Method to Check Biological Tissue Denaturation Based on Mode B Ultrasonic Image Processing

ZOU Xiao,QIAN Shengyou   

  1. (School of Physics and Information Science,Hunan Normal University,Changsha 410081,China)
  • Received:2010-05-20 Revised:2010-10-26 Online:2011-12-24 Published:2011-12-25

摘要:

本文提出基于B超图像灰度和小波变换系数并结合BP神经网络监测HIFU治疗中生物组织变性的方法。通过对高强度聚焦超声打击新鲜离体猪肉组织前后获得的B超图像作数字减影,并提取图像特征,利用神经网络进行分类处理。在此基础上,对大量实验数据处理后的统计特性和误差进行分析,得出较好的辨识效果。结果表明:结合图像平均灰度和小波变换系数特征并输入BP神经网络,能够更好地监测HIFU治疗中生物组织是否变性。

关键词: 高强度聚焦超声, 小波变换, BP神经网络, 生物组织变性

Abstract:

A method using BP neural network was presented to check biological tissue denaturation based on grey value and wavelet transform coefficient of Mode B Ultrasonic Image in HIFU treatment. The digital subtraction was executed for mode B ultrasonic images obtained from fresh vitro pork before and after HIFU radiation, and then its image features were extracted and classified by neural network . Through analyzing the statistical properties and errors of plentiful experimental data, the distinguishing effects could be obtained with finished. The results show that combining the average grey with the wavelet transform coefficient to construct BP neural network, the denaturation of biological tissue can be monitored better during HIFU therapy.

Key words: high intensity focused ultrasound(HIFU);wavelet transform;BP neural network;biological tissue denaturation